Disneyβs new CEO comes from parks β and it could change how you experience the magic
Built a cool product but can't get traffic? Meet Citedy, the AI-powered competitive intelligence platform that uses analysis to hunt down your competitors, find their weak spots, and automatically generate SEO-optimized articles that leverage their search traffic and chat mentions. Citedy automates competitive warfare by analyzing your competitors' content strategies and creating articles designed to outrank them. It's SEO and content marketing on autopilot, tailored for startups that need to compete with giants.
Intelβs Robert Hallock is letting you know how to get the most out of your Intel CPU As part of a newly released video in their βThe Blueprintβ series, Intelβs Robert Hallock has decided to dive deep into the world of Intel CPU overclocking. Specifically, he has explained how overclocking works for Intelβs Core Ultra [β¦]
The post Intel explains how overclocking works on its CPUs appeared first on OC3D.
PostWizard is your AI-powered marketing assistant designed to turn ideas into viral-ready tweets and threads in seconds. Connect your account to generate high-quality content, create AI images, and schedule posts directly via the official X API. Whether youβre a solo creator or an agency managing multiple brands, PostWizard helps you boost your reach and engagement without the high cost of a social media manager. Stop staring at a blank cursor and start scaling organically, save hours of manual work, and never run out of ideas again.
Valve's new console is on track, according to AMD, and it should start shipping early this year. AMD Says Valve is on "Track" and Will Start Shipping Steam Machine in Early 2026; Also Confirms Microsoft's Next-Gen Xbox is on Track for 2027 Launch AMD itself has confirmed that Valve's next-gen gaming console will start shipping this year. In the Q4 2025 Earnings Call, AMD's CEO, Dr. Lisa Su, stated that Valve is on track to start shipping the Steam Machine in early 2026. We know from earlier reports that Valve is reportedly launching the Steam Machine in 2026, and while [β¦]
Read full article at https://wccftech.com/amd-confirms-steam-machine-will-start-shipping-early-this-year/

Google Search Advocate John Mueller is pushing back on the idea of serving Markdown files to LLM crawlers.
The post Googleβs Mueller Calls Markdown-For-Bots Idea βA Stupid Ideaβ appeared first on Search Engine Journal.
Last week, Blizzard Entertainment announced a flurry of showcase events, one for each of its major titles: World of Warcraft, Overwatch 2, Hearthstone, and Diablo IV. The World of Warcraft showcase happened at the end of last week, with Blizzard digging into its World of Warcraft roadmap for 2026. Today, it followed up with the Overwatch Spotlight, announcing what to expect for the coming year, and a significant change to the game going forward: it's no longer called Overwatch 2, and will instead just be called 'Overwatch' once again. Towards the end of the 35-minute spotlight, Overwatch game director Aaron [β¦]
Read full article at https://wccftech.com/were-dropping-the-2-overwatch-2-is-now-just-called-overwatch-moving-forward/

After weeks of vacillation on the part of the tech-focused rumor mill between a February or March/April 2026 launch for the Pixel 10a, Google has just released official teasers of its new budget smartphone, announcing that the device will launch on February 18, 2026. Google releases official teasers for the Pixel 10a Google has just announced that pre-orders for the upcoming Pixel 10a will go live on February 18. Even so, in-store availability is not expected until March 05. As we noted in a dedicated post, Evan Blass, a known tipster, recently posted a screenshot of the Pixel 10a's certification [β¦]
Read full article at https://wccftech.com/google-pixel-10a-officially-launching-on-february-18/

The memory shortage has become so severe that consumers are now looking to Chinese suppliers like CXMT and YMTC as their 'saviour', hoping to get cheap DDR5/DDR4 modules, but that might never be the case. The retail situation in the RAM market is worsening by the day, with price hikes across the board, especially for higher-capacity modules. Mainly driven by DRAM shortages, it has become tough for gamers to access any memory, and given that the supply situation isn't looking to improve anytime soon, many of us have set our hopes on Chinese memory manufacturers coming to the rescue. Consumers [β¦]
Read full article at https://wccftech.com/can-chinese-memory-save-us-from-the-ongoing-ram-shortages/

X has announced the recipients of its initial long-form content prize pool.

Elon's social media platform is facing restrictions and penalties in several regions.Β
Meta says that content being generated via its Meta AI app has tripled year-over-year.


Nvidia recommends uninstalling Windows 11 Update KB5074109 if users face issues Last monthβs Update KB5074109 for Windows 11 is still causing issues, to the point that Nvidia representatives have had to weigh in on their official support forums (via Windows Latest). In response to one use, Manuel@NVIDIA recommended uninstalling the update after users reported issues [β¦]
The post Nvidia confirms its βlooking intoβ Windows 11 Update KB5074109 appeared first on OC3D.

Nioh 3 features deeper, more flexible combat, a semi-open-world structure, and seamless switching between Samurai and Ninja styles, earning praise as the most complete and accessible entry in the series-and one of the stronger modern Soulslike experiences for fans of demanding action RPGs.
Lucid Engine helps brands measure and grow visibility across AI search engines. It tracks citations and recommendations on ChatGPT, Perplexity, and Gemini, benchmarks competitors, and alerts you when rankings shift. The platform reveals which sources and sentiments drive answers and builds a prioritized backlog to close content gaps so you capture more recommendations. Monitor changes over time with live tracking, geo comparisons, and model release overlays to protect demand.
After accurately predicting a Nintendo Direct Partner Showcase for this week, reliable insider NateTheHate has another prediction, this time to do with the arrival of Final Fantasy VII Rebirth on Nintendo Switch 2, but more importantly, about how Square Enix will start its marketing campaign for Final Fantasy VII Remake Part 3, which, according to NateTheHate, will not be a PlayStation exclusive title at launch, and will instead be multiplatform from day-one. During the latest episode of the NateTheHate podcast, when discussing predictions for tomorrow's Partner Direct Showcase, on the topic of what Square Enix might bring to the table, [β¦]
Read full article at https://wccftech.com/final-fantasy-vii-remake-part-3-will-reportedly-be-multiplatform-on-launch-no-timed-playstation-exclusivity/

We've known that a new Mass Effect (which we'll call Mass Effect 5 in this story for the sake of simplicity) was coming ever since late 2020. At that year's edition of The Game Awards, developer BioWare shared a brief trailer showing an aged Liara T'soni and subtly hinting at a direct sequel to the original trilogy, skipping the latest franchise installment, 2017's Andromeda. More than five years later, we've still got very little to go on. Another brief teaser was published on N7 Day 2023, but BioWare was still very much focused on releasing Dragon Age: The Veilguard first. [β¦]
Read full article at https://wccftech.com/mass-effect-5-should-be-bethesda-style-open-world-game-says-ex-skyrim-lead/

With the understanding across the tech industry being that "no one can escape memory shortages," with price increases for devices already directly impacted by the shortages and rising cost of RAM, the question of popular consoles, like the Nintendo Switch 2, getting a price increase seems inevitable and more like a question of 'when,' instead of 'if.' So far, Nintendo has been cautious on the topic of price increases for the Nintendo Switch 2. When tariffs were the major factor potentially impacting the price of the console, Nintendo president Shuntaro Furukawa made it clear that the price of the console [β¦]
Read full article at https://wccftech.com/nintendo-president-doesnt-want-to-be-overly-influenced-by-rising-ram-costs-nintendo-switch-2-price-to-remain-stable-for-now/

Google AI announcements from January YouTube;s also added more languages to its auto-dubbing translation tools.
Reddit's Reminder Ads give you a secondary opportunity to prompt users about your events.Β
WinRAR 7.20 delivers faster handling of large archives, especially when deleting files or opening ZIPs with massive file counts. The update also enhances automation with smarter archive naming masks, expanded command-line switches, and faster extraction for TAR-based formats.
DMARCTrust monitors DMARC reports to show who sends emails as your domain and whether SPF and DKIM pass. It aggregates data from Gmail, Microsoft, Yahoo, and dozens of providers into a clear dashboard and alerts you to DNS record changes and authentication failures. Set it up in minutes with a unique reporting address and 2FA-secured access. Choose US or EU data hosting, track pass rates over time, and keep non-technical teams informed while protecting deliverability.
Build a Rocket Boy, the studio behind the biggest flop and the worst-reviewed game of 2025, MindsEye, is still chipping away at fixing and improving the game that was the butt of its fair share of jokes last year. The game's latest update, Update 7, is "a big step forward" for both the game and the studio, according to Mark Gerhard, chief executive and chief technical officer at Build a Rocket Boy. The new update focuses on improvements to "campaign flow, making objectives easier to follow, and continuing to refine AI behavior," the patch notes on the game's official website [β¦]
Read full article at https://wccftech.com/new-mindseye-update-is-a-big-step-forward-for-both-build-a-rocket-boy-and-mindseye-new-content-is-in-development/

CNET has now published the results of an interesting test where it pitted the battery life of 35 smartphones against each other and, unsurprisingly, the Apple iPhone 17 lineup has emerged as the victors of this relatively exhaustive test. Apple iPhone 17 Pro Max at the top of the smartphone battery life leaderboard, the base iPhone 17 wins second place along with the OnePlus 15 CNET ran two battery life tests on a total of 35 smartphones: a three-hour test where a video was streamed over WiFi with the screen at full brightness, and a 45-minute endurance test spanning multiple [β¦]
Read full article at https://wccftech.com/apples-base-iphone-17-lasts-as-long-as-the-oneplus-15-with-a-7300mah-battery/

Take-Two CEO Strauss Zelnick was asked by GamesIndustry.biz whether developer Rockstar Games had used AI to build Grand Theft Auto 6, and the answer was negative: the state of Leonida, a fictionalized version of Florida, has been entirely handcrafted. That said, Zelnick mentioned that GenAI-powered tools are being used all across Take-Two's studios to "drive costs and time efficiencies". On the topic of AI, I've been enthusiastic since the very beginning. This company's products have always been built with machine learning and artificial intelligence. We've actually always been a leader in the space, and right now we have hundreds of [β¦]
Read full article at https://wccftech.com/gen-ai-had-zero-part-building-grand-theft-auto-6/

Dispatch was one of the more beloved indie games from 2025, selling over 3 million copies to close out the year and getting several nominations from the DICE Awards and The Game Awards. It was even one of Wccftech's picks for the Best Adventure Games of 2025 and one of our picks for the Best Games of 2025 overall. Everything was coming up roses, and with a Nintendo Switch and Nintendo Switch 2 port coming in January 2026, it seemed like developer AdHoc Studio was about to add another million copies sold to its tally. That was until it actually [β¦]
Read full article at https://wccftech.com/adhoc-studio-working-with-nintendo-to-address-dispatch-censorship-nintendo-switch-switch-2/


Google Ads introduced multi-party approval, a security feature that requires a second administrator to approve high-risk account actions. These actions include adding or removing users and changing user roles.
Why we care. As ad accounts grow in size and value, access control becomes a serious risk. One unauthorized, malicious, or accidental change can disrupt campaigns, permissions, or billing in minutes. Multi-party approval reduces that risk by requiring a second admin to approve high-impact actions. It adds strong protection without slowing daily work. For agencies and large teams, it prevents costly mistakes and significantly improves account security.
How it works. When an admin initiates a sensitive change, Google Ads automatically creates an approval request. Other eligible admins receive an in-product notification. One of them must approve or deny the request within 20 days. If no one responds, the request expires, and the change is blocked.
Status tracking. Each request is clearly labeled as Complete, Denied, or Expired. This makes it easy to see what was approved and what didnβt go through.
Where to find it. You can view and manage approval requests from Access and security within the Admin menu.
The bigger picture. The update reflects growing concern around account security, especially for agencies and large advertisers managing multiple users, partners, and permissions. With advertisers recently reporting costly hacks, this is a welcome update.
The Google Ads help doc. About Multi-party approval for Google Ads

In 2015, PPC was a game of direct control. You told Google exactly which keywords to target, set manual bids at the keyword level, and capped spend with a daily budget.Β If you were good with spreadsheets and understood match types, you could build and manage 30,000-keyword accounts all day long.
Those days are gone.
In 2026, platform automation is no longer a helpful assistant. Itβs the primary driver of performance. Fighting that reality is a losing battle.Β
Automation has leveled the playing field and, in many cases, given PPC marketers back their time. But staying effective now requires a different skill set: understanding how automated systems learn and how your data shapes their decisions.
This article breaks down how signals actually work inside Google Ads, how to identify and protect high-quality signals, and how to prevent automation from drifting into the wrong pockets of performance.
Googleβs automation isnβt a black box where you drop in a budget and hope for the best. Itβs a learning system that gets smarter based on the signals you provide.Β
Feed it strong, accurate signals, and it will outperform any manual approach.
Feed it poor or misleading data, and it will efficiently automate failure.
Thatβs the real dividing line in modern PPC. AI and automation run on signals. If a system can observe, measure, or infer something, it can use it to guide bidding and targeting.
Googleβs official documentation still frames βaudience signalsβ primarily as the segments advertisers manually add to products like Performance Max or Demand Gen.Β
That definition isnβt wrong, but itβs incomplete. It reflects a legacy, surface-level view of inputs and not how automation actually learns at scale.
Dig deeper: Google Ads PMax: The truth about audience signals and search themes
In practice, every element inside a Google Ads account functions as a signal.Β
Structure, assets, budgets, pacing, conversion quality, landing page behavior, feed health, and real-time query patterns all shape how the AI interprets intent and decides where your money goes.Β
Nothing is neutral. Everything contributes to the modelβs understanding of who you want, who you donβt, and what outcomes you value.
So when we talk about βsignals,β weβre not just talking about first-party data or demographic targeting.Β
Weβre talking about the full ecosystem of behavioral, structural, and quality indicators that guide the algorithmβs decision-making.
Hereβs what actually matters:
In 2026, weβve moved beyond the daily cap mindset. With the expansion of campaign total budgets to Search and Shopping, we are now signaling a total commitment window to Google.
In the announcement, UK retailer Escentual.com used this approach to signal a fixed promotional budget, resulting in a 16% traffic lift because the AI was given permission to pace spend based on real-time demand rather than arbitrary 24-hour cycles.
All of these elements function as signals because they actively shape the ad accountβs learning environment.
Anything the ad platform can observe, measure, or infer becomes part of how it predicts intent, evaluates quality, and allocates budget.Β
If a component influences who sees your ads, how they behave, or what outcomes the algorithm optimizes toward, it functions as a signal.
To understand why signal quality has become critical, you need to understand whatβs actually happening every time someone searches.
Googleβs auction-time bidding doesnβt set one bid for βmobile users in New York.βΒ
It calculates a unique bid for every single auction based on billions of signal combinations at that precise millisecond. This considers the user, not simply the keyword.
We are no longer looking for βblack-and-whiteβ performance.
We are finding pockets of performance and users who are predicted to take the outcomes we define as our goals in the platform.
The AI evaluates the specific intersection of a user on iOS 17, using Chrome, in London, at 8 p.m., who previously visited your pricing page.Β
Because the bidding algorithm cross-references these attributes, it generates a precise bid. This level of granularity is impossible for humans to replicate.Β
But this is also the βgarbage in, garbage outβ reality. Without quality signals, the system is forced to guess.
Dig deeper: How to build a modern Google Ads targeting strategy like a pro
If every element in a Google Ads account functions as a signal, we also have to acknowledge that not all signals carry equal weight.
Some signals shape the core of the modelβs learning. Others simply refine it.
Based on my experience managing accounts spending six and seven figures monthly, this is the hierarchy that actually matters.
Your tracking is the most important data point. The algorithm needs a baseline of 30 to 50 conversions per month to recognize patterns. For B2B advertisers, this often requires shifting from high-funnel form fills to down-funnel CRM data.
As Andrea Cruz noted in her deep dive on Performance Max for B2B, optimizing for a βqualified leadβ or βappointment bookedβ is the only way to ensure the AI doesnβt just chase cheap, irrelevant clicks.
We are witnessing a βdeath by a thousand cuts,β where browser restrictions from Safari and Firefox, coupled with aggressive global regulations, have dismantled the third-party cookie.Β
Without enhanced conversions or server-side tracking, you are essentially flying blind, because the invisible trackers of the past are being replaced by a model where data must be earned through transparent value exchanges.
Your customer lists tell Google, βHere is who converted. Now go find more people like this.βΒ
Quality trumps quantity here. A stale or tiny list wonβt be as effective as a list that is updated in real time.
Using keywords and URLs to build segments creates a digital footprint of your ideal customer.Β
This is especially critical in niche industries where Googleβs prebuilt audiences are too broad or too generic.
These segments help the system understand the neighborhood your best prospects live in online.
To simplify this hierarchy, Iβve mapped out the most common signals used in 2026 by their actual weight in the bidding engine:
| Signal category | Specific input (The βwhatβ) | Weight/impact | Why it matters in 2026 |
| Primary (Truth) | Offline conversion imports (CRM) | Critical | Trains the AI on profit, not just βleads.β |
| Primary (Truth) | Value-based bidding (tROAS) | Critical | Signals which products actually drive margin. |
| Secondary (Context) | First-party customer match lists | High | Provides a βSeed Audienceβ for the AI to model. |
| Secondary (Context) | Visual environment (images/video) | High | AI scans images to infer user βlifestyleβ and price tier. |
| Tertiary (Intent) | Low-volume/long-tail keywords | Medium | Defines the βsemantic neighborhoodβ of the search. |
| Tertiary (Intent) | Landing page color and speed | Medium | Signals trust and relevance feedback loops. |
| Pollutant (Noise) | βSoftβ conversions (scrolls/clicks) | Negative | Dilutes intent. Trains AI to find βcheap clickers.β |
Dig deeper: Auditing and optimizing Google Ads in an age of limited data
Signal pollution occurs when low-quality, conflicting, or misleading signals contaminate the data Googleβs AI uses to learn.Β
Itβs what happens when the system receives signals that donβt accurately represent your ideal client, your real conversion quality, or the true intent you want to attract in your ad campaigns.
Signal pollution doesnβt just βconfuseβ the bidding algorithm. It actively trains it in the wrong direction.Β
It dilutes your high-value signals, expands your reach into low-intent audiences, and forces the model to optimize toward outcomes you donβt actually want.
Common sources include:
These sources create the initial pollution. But when marketers try to compensate for underperformance by feeding the machine more data, the root cause never gets addressed.Β
Thatβs when soft conversions like scrolls or downloads get added as primary signals, and none of them correlate to revenue.
Like humans, algorithms focus on the metrics they are fed.
If you mix soft signals with high-intent revenue data, you dilute the profile of your ideal customer.Β
You end up winning thousands of cheap, low-value auctions that look great in a report but fail to move the needle on the P&L.Β
Your job is to be the gatekeeper, ensuring only the most profitable signals reach the bidding engine.
When signal pollution takes hold, the algorithm doesnβt just underperform. The ads start drifting toward the wrong users, and performance begins to decline.Β
Before you can build a strong signal strategy, you have to understand how to spot that drift early and correct it before it compounds.
Algorithm drift happens when Googleβs automation starts optimizing toward the wrong outcomes because the signals itβs receiving no longer match your real advertising goals.Β
Drift doesnβt show up as a dramatic crash. It shows up as a slow shift in who you reach, what queries you win, and which conversions the system prioritizes. It looks like a gradual deterioration of lead quality.
To stay in control, you need a simple way to spot drift early and correct it before the machine locks in the wrong pattern.
Early warning signs of drift include:
These are all indicators that the system is optimizing toward the wrong signals.
To correct drift without resetting learning:
Your job isnβt to fight automation in Google Ads, itβs to guide it.Β
Drift happens when the machine is left unsupervised with weak or conflicting signals. Strong signal hygiene keeps the system aligned with your real business outcomes.
Once you can detect drift and correct it quickly, youβre finally in a position to build a signal strategy that compounds over time instead of constantly resetting.
The next step is structuring your ad account so every signal reinforces the outcomes you actually want.
Dig deeper: How to tell if Google Ads automation helps or hurts your campaigns
If you want to build a signal strategy that becomes a competitive advantage, you have to start with the foundations.
Implement offline conversion imports. The difference between optimizing for a βform fillβ and a β$50K closed dealβ is the difference between wasting budget and growing a business.Β
When βjourney-aware biddingβ eventually rolls out, it will be a game-changer because we can feed more data about the individual steps of a sale.
Use value-based bidding. Donβt just count conversions. Differentiate between a customer buying a $20 accessory and one buying a $500 hero product.
Donβt just dump everyone into one list. A list of 5,000 recent purchasers is worth far more than 50,000 people who visited your homepage two years ago.Β
Stale data hurts performance by teaching the algorithm to find people who matched your business 18 months ago, not today.
Brand traffic carries radically different intent and conversion rates than nonbrand.Β
Mixing these campaigns forces the algorithm to average two incompatible behaviors, which muddies your signals and inflates your ROAS expectations.Β
Brand should be isolated so it doesnβt subsidize poor nonbrand performance or distort bidding decisions in the ad platform.
A $600 product and a $20 product do not behave the same in auction-time bidding.Β
When you put them in the same campaign with a single 4x ROAS target, the algorithm will get confused.Β
This trains the system away from your hero products and toward low-value volume.
Googleβs automation performs best when it has enough data to be consistent and high-quality data to recognize patterns. That means fewer, stronger campaigns are better as long as the signals inside them are aligned.Β
Centralize campaigns when products share similar price points, margins, audiences, and intent. Decentralize campaigns when mixing them would pollute the signal pool.
When everyone has access to the same automation, the only real advantage left is the quality of the signals you feed it.Β
Your job is to protect those signals, diagnose pollution early, and correct drift before the system locks onto the wrong patterns.
Once you build a deliberate signal strategy, Googleβs automation stops being a constraint and becomes leverage. You stay in the loop, and the machine does the heavy lifting.

Anthropic is drawing the line against advertising in AI chatbots. Claude will remain ad-free, the company said, even as rival AI platforms experiment with sponsored messages and branded placements inside conversations.
Why we care. Anthropicβs position removes Claude, and its user base of 30 million, from the AI advertising equation. Brands shouldnβt expect sponsored links, conversations, or responses inside Claude. Meanwhile, ChatGPT is about to give brands the opportunity to reach an estimated 800 million weekly users.
Whatβs happening. AI conversations are fundamentally different from search results or social feeds, where users expect a mix of organic and paid content, Anthropic said:
Incentives matter. This is a business-model decision, not just a product preference, Anthropic said:
Anthropic isnβt rejecting commerce. Claude will still help users research, compare, and buy products when they ask. The company is also exploring βagentic commerce,β where the AI completes tasks like bookings or purchases on a userβs behalf.
Super Bowl ad. Anthropic is making the argument publicly and aggressively. In a Super Bowl debut, the company mocked intrusive AI advertising by inserting fake product pitches into personal conversations. The ad closed with a clear message: βAds are coming to AI. But not to Claude.β
Claudeβs blog post. Claude is a space to think
OpenAI responds. OpenAI CEO Sam Altman posted some thoughts on X. Some of the highlights:


The U.S. Justice Department and a coalition of states plan to appeal a federal judgeβs remedies ruling in the Google search antitrust case.
The appeal challenges a decision that found Google illegally monopolized search but stopped short of imposing major structural changes, such as forcing a divestiture of Chrome or banning default search deals outright.
Whatβs happening. The DOJ and state attorneys general filed notices of appeal yesterday, challenging U.S. District Judge Amit Mehtaβs September remedies ruling, Bloomberg and Reuters reported.
Why we care. The appeal means we still donβt know how much Google will keep controlling where search gets placed. And that control basically decides who wins traffic. If stricter fixes happen, it could change default search settings, open the door to rival search engines, and shift how people use search across devices.
Yes, but. The DOJ and states havenβt detailed their legal arguments. Court filings didnβt specify which parts of the ruling they will challenge, though attention is expected to focus on Chrome and Googleβs default search deal with Apple.
What to watch. The U.S. Court of Appeals for the D.C. Circuit is expected to hear the case later this year. For now, itβs business as usual for Google β though its most important contracts now face annual review, and the risk of tougher remedies remains firmly on the table.
What theyβre saying. David Segal, Yelpβs vice president of public policy, welcomed the appeal. In a statement shared with Search Engine Land, Yelp said the trial courtβs remedies do not go far enough to restore real competition in search:

If your CPCs keep climbing, the cause may not be your bid strategy, your budget, or even your competitors.
You might be suffering from low ad quality.Β
Letβs break down the most foundational β and most misunderstood β metric in your Google Ads account. If you want to stop overpaying Google and start winning auctions on merit, you need to understand how the 1-to-10 Quality Score actually works.
Before we dive in, letβs clear up the confusion. Google shows a lot of βscoresβ and βdiagnostics,β and you can safely ignore most of them. Quality Score is the exception.
You canβt fix what you canβt see. To get started, go to your Keywords report in Google Ads and add these four columns:
When you analyze Quality Score, donβt judge keywords in isolation. Youβll drive yourself crazy. Look for patterns at the ad group level instead.
If most keywords have a Quality Score of 7 or higher, youβre in good shape. If most are at 5 or below, thatβs your cue to roll up your sleeves and improve ad quality.
This is the only part of Quality Score fully within your control. It asks one simple question:
If your ad relevance is generally βBelow average,β the fastest fix is Dynamic Keyword Insertion. It automatically inserts your keywords into the ad text. If you prefer a manual approach, make sure the keywords in the ad group actually appear in both the ad copy and the landing page.
When Google sends users to your site, do they find what theyβre looking for? Or do they bounce after two seconds and head back to Google for a better result?
If your landing page experience score is low, start with the PageSpeed Insights tool. A βBelow averageβ rating often points to slow load times, a poor mobile experience, generic content, weak navigation, or all of the above.
Google only makes money when users click, so it favors ads people are most likely to click.
If your expected CTR is lagging, start with competitive research:
Next, visit the Google Ads Transparency Center and review your competitorsβ ads.
If your ads are great but CTR is still low, review the Search terms report. You may be showing for irrelevant queries, which explains why users arenβt clicking on an otherwise awesome ad.
Iβll be honest: chasing a 10/10 Quality Score everywhere is a waste of time. Itβs unrealistic and usually unnecessary.
Instead, do a quick check-up every few months. Find one or two ad groups with lower Quality Scores, identify the most βBelow Averageβ component, and fix that first.
Improving ad quality takes more effort than raising budgets or bids. But it pays off with more clicks at the same β or even lower β cost.
This article is part of our ongoing Search Engine Land series, Everything you need to know about Google Ads in less than 3 minutes. In each edition, Jyll highlights a different Google Ads feature, and what you need to know to get the best results from it β all in a quick 3-minute read.

Resonant is an AI-native email platform that writes genuinely personalized outreach using each contactβs social profiles, company news, browsing, and purchase data. Connect your CRM or upload a CSV, set a goal, and Resonant researches LinkedIn, Twitter, and your data to craft context-rich emails that sound handwritten. Review, edit, and send at scale while tracking opens, clicks, and replies. Teams across e-commerce, B2B sales, SaaS, recruiting, and media use it to boost reply rates, revenue, and retention.
Samsungβs Galaxy S26 Ultra recently made its single-core and multi-core run on Geekbench 6, and just like its predecessors, the flagship features an overclocked version of Qualcommβs Snapdragon SoC. This time, it was the Snapdragon 8 Elite Gen 5, whose performance cores were running at 4.74GHz instead of the default 4.61GHz. Despite this small frequency bump, our single-core and multi-core results are shown to be higher, which obviously makes us question a few things, starting with whether thereβs any advantage to Samsung shipping its premium devices with a slightly faster chipset. An active cooling solution coupled with the diminishing returns [β¦]
Read full article at https://wccftech.com/our-snapdragon-8-elite-gen-5-are-faster-than-galaxy-s26-ultra-overclocked-version/

With barely three weeks left until Samsung removes the wraps from this year's Galaxy S26 series, the South Korean tech behemoth is now entering its most aggressive marketing phase to build up excitement and buzz around the upcoming smartphones. To that end, Samsung has just dropped three short teaser videos that hint at the Galaxy S26 series' massively improved neural framing, low-light photography, and zoom capabilities. Samsung is teasing massive photography-related improvements for the upcoming Galaxy S26 series Last week, Samsung teased the Privacy Display feature of the upcoming Galaxy S26 series. The feature usesΒ Flex Magic Pixel OLED technology that [β¦]
Read full article at https://wccftech.com/samsungs-galaxy-s26-series-teasers-hint-at-massively-improved-neural-framing-low-light-photography-and-zoom-capabilities/

After rumours appeared last week pointing to a Nintendo Direct Partner Showcase happening this week, specifically on Thursday, February 5, 2026, we now know those rumours and reports were correct. Confirmed first through the Nintendo Today! mobile app, Nintendo will host a Partner Showcase Direct event tomorrow, February 5, at 6am PT / 9am ET / 2pm BT. This will be the third Nintendo Direct event of 2026 so far, after the Super Mario Galaxy Movie Direct and a Tomodachi Life: Living the Dream Direct last month. It's also the first Partner Showcase event Nintendo has hosted since July 2025. [β¦]
Read full article at https://wccftech.com/the-rumours-were-true-nintendo-confirms-a-parnter-showcase-nintendo-direct-for-tomorrow/

Excellent deals do exist, but they are rarer than a 32 GB DDR5 kit selling for less than $300. User Manages to Snag GeForce RTX 5090 for Just $899, While Another Receives RTX 5080 for Just $562 We rarely see GPUs available at their official MSRP, let alone below it. It took a long time for the GPU market to stabilize, but the worsening DRAM supply just spiked prices higher than they had been. Occassionally, we see users snagging GPUs at lower prices on deals, but two users were extremely lucky to grab them for almost half their prices. The [β¦]
Read full article at https://wccftech.com/two-lucky-customers-grabbed-geforce-rtx-5080-and-rtx-5090-for-half-their-msrp/

I am not going to lie: I love Team NINJA. If you have been checking out my coverage over the past few years, you likely know this already. Ever since first picking up the PlayStation port of Dead or Alive, I was hooked. There is a specific feel to their combat that no other developer quite replicates. That admiration for the studio founded by the legendary Tomonobu Itagaki, who sadly passed away last October, only deepened as they pioneered the genres I love most: the high-octane character action of Ninja Gaiden and the punishing Masocore depth of Nioh. Even when [β¦]
Read full article at https://wccftech.com/review/nioh-3-review-rise-of-the-shogun/

Samsung's Exynos 2600 chip is certainly shaping up to be one of the highest performing mobile-focused chips of 2026, especially in the graphics department, where its Xclipse 960 GPU is emerging as an absolute beast of a performer. Now, that same GPU has pushed the Exynos 2600 to the top of the Basemark Ray Tracing leaderboard. The Exynos 2600 SoC's Xclipse 960 GPU propels it to the top of the Basemark Ray Tracing leaderboard For the benefit of those who might not be aware, the Exynos 2600 is Samsung'sΒ first chip that leverages its 2nm Gate-All-Around (GAA) process, which is a [β¦]
Read full article at https://wccftech.com/samsungs-exynos-2600-chip-takes-first-place-on-the-basemark-ray-tracing-leaderboard-after-beating-snapdragon-8-elite-gen-5/


Google may finally be starting to address a popular SEO and AI visibility βtacticβ: self-promotional βbest ofβ listicles. Thatβs according to new research by Lily Ray, vice president, SEO strategy and research at Amsive.
Across several SaaS brands hit hard in January, a pattern emerged. Many relied heavily on review-style content that ranked their own product as the No. 1 βbestβ in its category, often updated with the current year to trigger recency signals.
Whatβs happening. After the December 2025 core update, Google search results showed increased volatility throughout January, according to Barry Schwartz. Google hasnβt announced or confirmed any updates this year, but the timing aligns with steep visibility losses at several well-known SaaS and B2B brands. According to Ray:
Why we care. Self-promotional listicles have been a shortcut for influencing rankings and AI-generated answers. If Google is now reevaluating how it treats this content, any strategies built around βbestβ queries are in danger of imploding.
The gray area. Ranking yourself as the βbestβ without independent testing, clear methodology, or third-party validation has been considered (by most) to be a sketchy SEO tactic. It isnβt explicitly banned, but it definitely conflicts with Googleβs guidance on reviews and trust.
Yes, but. Self-promotional listicles likely werenβt the only factor impacting organic visibility. Many affected sites also showed signs of rapid content scaling, automation, aggressive year-based refreshes, and other tactics tied to algorithmic risk.
What to watch. Whether self-promotional listicles earn citations and organic visibility. Google rarely applies changes evenly or instantly.
The analysis. Is Google Finally Cracking Down on Self-Promotional Listicles?

AI search hasnβt killed SEO.
Now you have to win twice: the ranking and the citation.
Google searches for almost anything today, and thereβs a good chance youβll see an AI Overview before the organic results, sometimes even before the ads.Β
That summary frames the query, shortlists sources, and shapes which brands get considered.

AI Overviews now appear for about 21% of all keywords, according to Ahrefs. And 99.9% are triggered by informational intent.
Search rankings still matter. But AI summaries increasingly determine who wins early consideration.
Hereβs what weβre seeing: brands arenβt losing visibility because they dropped from position three to seven. Theyβre losing it because they were never cited in the AI answer at all.
This article draws on research conducted by Search Influence and the online and professional education association UPCEA, which examined how people use AI-assisted search and how organizations are adapting. (Disclosure: I am the CEO at Search Influence)Β
Key takeaways
To understand whatβs happening, we need to look at two sides of the same equation β how people are searching today and how organizations are responding (or arenβt).
βAI Search in Higher Education: How Prospects Search in 2025β surveyed 760 prospective adult learners in March 2025. It examined:
While the study focused on professional and continuing education, these behaviors mirror what weβre seeing across industries: more AI-assisted discovery, earlier opinion formation, and trust signals shifting.
A separate snap poll of 30 UPCEA member institutions in October 2025 looked at the other side:
Together, these datasets show a widening gap between how people search and how organizations have adapted.
So what does the data actually tell us?
The research highlights several search behaviors that consistently influence how people discover and evaluate options today.
The data makes one thing clear: AI-driven search has moved from the margins into the mainstream.
Trust is forming earlier now, often before users compare sources directly.
If youβve been putting off your AI search strategy because βpeople donβt trust AI,β the data says otherwise. AI citations are becoming a credibility signal β a trust shortcut before deeper research begins.
Search doesnβt happen in one place or follow one clean path anymore.
These behaviors arenβt sequential. Users move between surfaces, carrying context with them.
What they see in an AI summary influences how they read a search result. A YouTube video can establish trust before a website ever earns a click.
This is where many strategies fall out of sync. Teams optimize one channel at a time β usually their website β and treat everything else as optional.
But AI search engines pull from everywhere your brand has a presence:
Your AI credibility is cumulative. Itβs built anywhere your brand shows up, not just where you own the URL.
The rise of AI search doesnβt mean the end of traditional search. It raises the bar for it.
Even as AI summaries reshape early trust, people still rely heavily on first-party sources and organic results when they evaluate options:
AI engines prioritize content that search engines can already crawl, interpret, and trust.
If your core content isnβt clearly structured, accessible, and eligible to rank in traditional search, itβs far less likely to be pulled into AI-generated answers.
Dig deeper: Your website still matters in the age of AI
Most organizations recognize that AI search is reshaping discovery. Far fewer have translated that awareness into coordinated action.
Most institutions sit somewhere between curiosity and commitment:
The majority of teams know something important is happening. But ownership, process, and prioritization remain unresolved.
When asked whatβs holding them back, institutions cited execution constraints:
For many organizations, AI search has entered the roadmap conversation. It just hasnβt earned consistent operational focus yet. (Sound familiar?)
Dig deeper: Why most SEO failures are organizational, not technical
When teams do take action, their priorities cluster around two themes:
Those goals are linked. Clear, structured information makes it easier for AI systems to represent a brand. Visibility follows clarity. When that clarity is missing, AI fills in the blanks using third-party sources and competitor content.
AI visibility tracking varies widely:
Among teams that do track AI visibility:
This creates a familiar blind spot. Teams feel the impact of AI search anecdotally but lack consistent visibility into where, how, and why their brand appears.

Dig deeper: How to track visibility across AI platforms
Universities bring everything search engines are supposed to reward:
Yet in AI-generated answers, those advantages often donβt translate. When AI systems generate answers, they cite content that already matches the way users ask questions. That often means:
Those formats are dominated by aggregators and publishers β not the institutions themselves.

AI doesnβt look for the biggest brand. It looks for the best answer. Higher education shows what happens when brands rely on authority alone and why every industry needs to rethink how it publishes.
The most common question right now: βHow do we show up in AI results?β
In many cases, I think the honest answer is to fix whatβs already broken.
AI systems rely on the same signals that traditional search does: crawlability, structure, clarity. If your pages are blocked, poorly organized, or weighed down by technical debt, they wonβt surface cleanly anywhere.
Weβve seen teams invest energy in AI conversations while core pages still struggle with:
Start with your traditional SEO foundation. AI systems can only work with whatβs structurally sound.
Dig deeper: AI search is growing, but SEO fundamentals still drive most traffic
AI search engines favor content that can be lifted cleanly and reused without interpretation. The job of content shifts from βtelling a complete storyβ to βdelivering clear, extractable answers.β
Many brand pages technically contain the right information, but itβs buried in long-form prose or brand language that requires context to understand.
Content that performs well in AI answers tends to:
This isnβt about shortening content. Itβs about sharpening it. When intent is obvious, AI knows exactly what to pull and when to cite you.
If AI keeps citing comparisons, lists, and explainers β and it does β brands probably need to own those formats themselves.
AI systems pull from content that already reflects how people evaluate options. When those pages donβt exist on your site, AI cites the aggregators and publishers instead.
To compete, brands need to publish:
Put simply: publish what AI actually wants to cite.
Dig deeper: How to create answer-first content that AI models actually cite
Your website shouldnβt be doing all the work.
AI answers routinely pull from a mix of sources:
In some cases, being cited from a third-party platform matters more than where your site ranks.
Weβve seen AI Overviews where a brandβs YouTube video is cited alongside their webpage and third-party sources β all shaping the same answer. That blended source set is becoming the norm.

If your content strategy only prioritizes on-site publishing, youβre narrowing your chances of earning AI visibility.
Dig deeper: YouTube is no longer optional for SEO in the age of AI Overviews
AI search is moving faster than most SEO strategies are built to respond.
The question isnβt whether AI search will matter to your industry.
Itβs whether youβll be cited, overlooked, or summarized by someone else.
The brands that adapt now β not later β will be the ones that win.

Google has updated two of its help documents to explain the limits of Googlebot when it crawls. Specifically, how much Googlebot can consume by filetype and format.
The limits. The limits, some of which were documented already and are not new, include:
Note, these limits are pretty large and the vast majority of websites do not need to be concerned with these limits.
Full text. Here is what Google posted fully in its help documents:
Why we care. It is important to know of these limits but again, most sites will likely never even come close to these limits. That being said these are the document limits of Googlebotβs crawling.
With its pivot to HAMR, Western Digital aims to deliver 100TB+ HDDs Western Digital has promised to launch 100TB HDDs by 2029, delivering a 2.5x increase in storage density over the next three years. This year, Western Digital will launch 40TB HDDs. This drive is their ePMR 40TB UltraSMR HDD, which enters volume production later [β¦]
The post Western Digital promises 100TB HDDs by 2029 appeared first on OC3D.
Microsoft is reportedly walking back on Windows AI integrations If you ask any heavy Windows user about their opinions on Copilot and AI, you will likely hear nothing but complaints. For too long, Microsoft has used Windows as an AI testing ground, with users serving as guinea pigs. AI is being forced on users, even [β¦]
The post We win? Microsoft to scale back AI integrations into Windows appeared first on OC3D.
Test Your Idea scans 11 live data sources and tells you what's wrong with your startup before you write a single line of code. You're about to spend six months building something, but will anyone pay for it?
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This is one of the cheapest OLED Android gaming handhelds on the market, powered by the Snapdragon 865 processor. MANGMI Launches Pocket Max OLED Gaming Handheld at Just $199 as Super Early Bird Price Popular handheld maker, MANGMI, has announced its latest Android gaming handheld called Pocket Max, bringing the power of the Snapdragon 865 processor and Adreno 650 GPU for a smooth gaming experience. It's the second Android handheld device from the company that delivers significantly superior specs out of the box, including the internal hardware and screen, which makes Pocket Max a powerful Android handheld for enthusiasts. While [β¦]
Read full article at https://wccftech.com/mangmis-new-7-inch-144hz-oled-android-gaming-handheld-launched-at-just-199/

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One shared moment a day

One of the biggest reasons new advertisers end up in underperforming Performance Max campaigns is simple: they followed Googleβs advice.
Google Ads reps are often well-meaning and, in many cases, genuinely helpful at a surface level.Β
But itβs critical for advertisers β especially new ones β to understand who those reps work for, how theyβre incentivized, and what their recommendations are actually optimized for.
Before defaulting to Googleβs newest recommendation, itβs worth taking a step back to understand why the βshiny new toyβ isnβt always the right move β and how advertisers can better advocate for strategies that serve their business, not just the platform.
Google Ads reps play a specific role, and that role is frequently misunderstood.
They do not:
Their responsibility is not to build a sustainable acquisition strategy for your business. Instead, their primary objectives are to:
That distinction matters.
Performance Max is Googleβs flagship campaign type. It uses more inventory, more placements, and more automation across the entire Google ecosystem.Β
From Googleβs perspective, itβs efficient, scalable, and profitable. From a new advertiserβs perspective, however, itβs often premature and misaligned with early-stage needs.
Dig deeper: Dealing with Google Ads frustrations: Poor support, suspensions, rising costs
Performance Max often benefits Google before it benefits the advertiser.Β
Because it automatically spends across Search, Shopping, Display, YouTube, Discover, and Gmail, Google is given near-total discretion over where your budget is allocated. In exchange, advertisers receive limited visibility into whatβs actually driving results.
For Google, this model is ideal. It monetizes more surfaces, accelerates adoption of automated bidding and targeting, and increases overall ad spend across the board. For advertisers β particularly those with new or low-data accounts β the reality looks different.
New accounts often end up paying for upper-funnel impressions before meaningful conversion data is available.Β
Budgets are diluted across lower-intent placements, CPCs can spike unpredictably, and when performance declines, thereβs very little insight into what to fix or optimize.Β
Youβre often left guessing whether the issue is creative, targeting, bidding, tracking, or placement.
This misalignment is exactly why Google reps so often recommend Performance Max even when an account lacks the data foundation required for it to succeed.
What Google defines as βbest practiceβ does not automatically translate into the best strategy for your business.
Google reps operate from generalized, platform-wide guidance rather than a custom account strategy.Β
Their recommendations are typically driven by aggregated averages, internal adoption goals, and the products Google is actively promoting next β not by the unique realities of your business.
They are not built around your specific business model, your customer acquisition cost tolerance, your testing and learning roadmap, or your need for early clarity and control.Β
As a result, strategies that may work well at scale for mature, data-rich accounts often fail to deliver the same results for new or growing advertisers.
Whatβs optimal for Google at scale isnβt always optimal for an advertiser who is still validating demand, pricing, and profitability.
Dig deeper: Google Ads best practices: The good, the bad and the balancing act
Smart advertisers understand that automation is something you earn, not something you start with.
Even today, Google Shopping Ads remain one of the most effective tools for new ad accounts because they are controlled, intent-driven, and rooted in real purchase behavior.
Shopping campaigns rely far less on historical conversion volume and far more on product feed relevance, pricing, and search intent.
That makes them uniquely well-suited for advertisers who are still learning what works, what converts, and what deserves more budget.
To understand how this difference plays out in practice, consider what happened to a small chocolatier that came to me after implementing Performance Max based on guidance from their dedicated Google Ads rep.
The challenge was straightforward: The retailerβs Google Ads account was new, and Performance Max was positioned as the golden ticket to quickly building nationwide demand.
The result was disastrous.
To make matters worse, conversion tracking had not been set up correctly, causing Google to report inflated and inaccurate sales numbers that didnβt align with Shopify at all.
Understandably, the retailer lost confidence β not just in Performance Max, but in paid advertising as a whole. Before walking away entirely, they reached out to me.
Recognizing that this was a new account with no reliable data, I immediately reverse-engineered the setup into a standard Google Shopping campaign.Β
We properly connected Google Ads and Google Merchant Center to Shopify to ensure clean, accurate tracking.
From there, the campaign was segmented by product groups, allowing for intentional bidding and clearer performance signals.
Within two weeks, real sales started coming through.
By the end of the month, the brand had acquired 56 new customers at a $53 cost per lead, with an average order value ranging from $115 to $200.Β
More importantly, the account now had clean data, clear winners, and a foundation that could actually support automation in the future.
Dig deeper: The truth about Google Ads recommendations (and auto-apply)
By starting with Shopping campaigns, advertisers can validate products, pricing, and conversion tracking while building clean, reliable data at the product and SKU level.
This early-stage performance proves demand, highlights top-performing items, and trains Googleβs algorithm with meaningful purchase behavior.
Shopping Ads also offer a higher level of control and transparency than Performance Max.Β
Advertisers can segment by product category, brand, margin, or performance tier, apply negative keywords, and intentionally allocate budget to whatβs actually profitable.Β
When something underperforms, itβs clear why β and when something works, itβs easy to scale.
This level of insight is invaluable early on, when every dollar spent should be contributing to learning, not just impressions.
Standard Shopping consistently outperforms Performance Max for accounts that require granular control over product groups and bidding β especially when margins vary significantly across SKUs and precise budget allocation matters.Β
It allows advertisers to double down on proven winners with exact targeting, intentional bids, and full visibility into performance.
That said, once a Shopping campaign has been running long enough to establish clear performance patterns, a hybrid approach can be extremely effective.
Performance Max can play a complementary role for discovery, particularly for advertisers managing broad product catalogs or limited optimization bandwidth.Β
Used selectively, it can help test new products, reach new audiences, and expand beyond existing demand β without sacrificing the stability of core revenue drivers.
While Performance Max reduces transparency and control, pairing it with Standard Shopping for established performers creates a balanced strategy that prioritizes profitability while still allowing room for scalable growth.
Dig deeper: 7 ways to segment Performance Max and Shopping campaigns
Google reps are trained to recommend what benefits the platform first, not whatβs safest or most efficient for a new advertiser learning their market.Β
While Performance Max can be powerful, it only works well when itβs fueled by strong, reliable data β something most new accounts simply donβt have yet.
Advertisers who prioritize predictable performance, cleaner insights, and sustainable growth are better served by starting with Google Shopping Ads, where intent is high, control is stronger, and optimization is transparent.Β
By using Shopping campaigns to validate products, understand true acquisition costs, and build confidence in what actually converts, businesses create a solid foundation for automation.
From there, Performance Max can be layered in deliberately and profitably β used as a tool to scale proven success rather than a shortcut that drains budget.Β
That approach isnβt anti-Google. Itβs disciplined, strategic advertising designed to protect spend and drive long-term results.

Borderlands 4 may never arrive on Nintendoβs Switch 2 Borderlands 4 was originally due to launch on Switch 2 on October 3rd, with Gearbox confirming a last-minute delay one week before its planned launch. Now, four months later, Take-Two Interactive, the gameβs publisher, has confirmed that they have chosen to βpause developmentβ of the gameβs [β¦]
The post Take-Two βpauseβ Borderlands 4 development for Switch 2 appeared first on OC3D.
Dr. Lisa SuFor 2026, we expect semi-custom SoC annual revenue to decline by a significant double-digit percentage as we enter the seventh year of what has been a very strong console cycle. From a product standpoint, Valve is on track to begin shipping its AMD-powered Steam Machine early this year, and development of Microsoft's next-gen Xbox featuring an AMD semi-custom SoC is progressing well to support a launch in 2027.
Liv is a comprehensive wellness platform that integrates mental health support, fitness tracking, and daily management tools specifically designed for ADHD executive function challenges. It currently connects with Google Calendar, Google Tasks, Fitbit API, and offers in-the-moment AI coaching support. The mission is to create accessible mental health and wellness tools informed by lived experiences with combined-type ADHD, bridging the gap between clinical understanding and daily reality for neurodivergent individuals.
Nioh 3 features a vast weapon selection, with many options within the different weapon types for Samurai and Ninja Style sporting a set passive skill, alongside randomly assigned skills that can be used to define your character build. Among these weapon choices are Crucible weapons. These remarkable weapons are difficult to come by while playing the game normally, but there's an easy way to farm them in the early game. Become the Master of Weapons: here's where you can farm Crucible Weapons, and why you should to unlock the full combat potential of Takechiyo. How to Farm Crucible Weapons Farming [β¦]
Read full article at https://wccftech.com/how-to/the-master-of-weapons-how-to-farm-crucible-weapons-in-nioh-3/

Nioh 3 is the first new entry in the hardcore action role-playing game series by Team NINJA in over 6 years, and a lot has changed since the second entry. While the basic combat mechanics and loot system are rooted in the franchise's history, the third entry introduces many changes and additions that can leave even veterans a little confused. In thisΒ Complete Walkthrough and Guides Hub, you will find everything you need not only to successfully complete your journey through time but also to have tons of fun while doing so, starting from the Warring States period, which can be [β¦]
Read full article at https://wccftech.com/how-to/nioh-3-complete-walktrough-and-guides-hub/

The updated 14-inch and 16-inch MacBook Pro models that areΒ rumored to launch in MarchΒ with Appleβs new M5 Pro and M5 Max chipsets are expected to retain the same thermal solution as the previous models. Despite these SoCs being highly efficient, they do tend to get exceptionally hot. While the technology giant might not be too keen to introduce a revamped heatpipe layout or switch to a vapor chamber, a fresh rumor claims that TSMCβs 2.5D packaging will be utilized instead of the companyβs Integrated Fan-Out (InFO) technology, helping improve heat dissipation and lower resistance. There are other advantages too, which [β¦]
Read full article at https://wccftech.com/m5-pro-and-m5-max-to-move-to-2-5d-from-info-packaging-leading-to-improved-heat-dissipation/

Yesterday, Epic published the Epic Games Store year-in-review post, revealing new records for sales of third-party games (+57% over last year), total PC users (over 317 million), and monthly active users (MAUs; 78 million in December 2025, when the giveaway of Hogwarts Legacy added around six million users). That said, while playtime spent with third-party games increased by 4%, total engagement across all Epic Games Store titles dropped by 14%, signaling a decrease in first-party engagement of games like Fortnite and Rocket League. Website GamesIndustry.biz was able to interview Epic Games Store General Manager Steve Allison, who admitted that the [β¦]
Read full article at https://wccftech.com/epic-games-store-gm-admits-steam-wont-be-toppled/


AMD confirms βnext-gen Xboxβ release window in Q4 earnings call During the companyβs Q4 2025 earnings call, AMDβs CEO, Lisa Su, confirmed that βMicrosoftβs next-gen Xboxβ would feature AMD semi-custom silicon and launch in 2027. This means that the first βnext-generationβ console should launch next year, replacing Microsoftβs Xbox Series X and Xbox Series S. [β¦]
The post AMD confirms 2027 launch window for Microsoftβs βnext-gen Xboxβ appeared first on OC3D.
How well does AMD's FSR 4 upscaling perform compared to Nvidia's latest DLSS 4.5? Is AMD still relatively close to Nvidia in image quality, or has FSR fallen further behind? Let's find out.
The Nintendo Switch 2 version of Borderlands 4 has been officially canceled. The news was shared yesterday, when Take-Two Interactive deleted the game from its updated list of upcoming releases found in its latest quarterly report. Alan Lewis, a spokesperson for Take-Two, shared the following statement with Variety: We made the difficult decision to pause development on that SKU. Our focus continues to be delivering quality post-launch content for players on the ongoing improvements to optimize the game. Weβre continuing to collaborate closely with our friends at Nintendo. We have βPGA Tour 2K25β and βWWE 2K26β coming out for Nintendo [β¦]
Read full article at https://wccftech.com/borderlands-4-nintendo-switch-2-canceled-no-longer-perfect-fit/

AMD's CEO, Lisa Su, has given her outlook on the PC industry, and it appears Team Red isn't very confident about the client segment's growth this year. AMD's Lisa Su Hints Towards Focusing More On Enterprise Within the Client Segment, Through Edge AI Products The PC industry has been in turmoil over the past few quarters, primarily driven by ongoing memory shortages and by companies like NVIDIA, AMD, Dell, and others shifting their focus to enterprise/AI businesses. IDC projections indicate a decline in shipments, further raising pressure on AMD and how it will proceed in the client industry. AMD's CEO, [β¦]
Read full article at https://wccftech.com/amd-prepares-to-battle-pc-market-uncertainty-but-ceo-says-the-focus-will-stay-on-enterprise/


Nimo lets you collect anonymous questions from friends and answer them in stories. Choose a topic for the day, share your link, and receive candid questions without revealing the asker's identity. You can respond in story format and post to social networks to keep the conversation going. Nimo focuses on safer, topic-based prompts, allowing you to control the discussion and make sharing more enjoyable.
Straktur is a Next.js blueprint that enables you to build internal apps with AI while enforcing a clean, scalable architecture. It provides a structured environmentβcovering authentication, storage, UI components, and database layersβhelping you avoid spaghetti code and ship faster. With integrations like BetterAuth, Shadcn/UI, Drizzle, and SQL databases, you have vendor-agnostic options for email and storage. Migrate from Airtable, Retool, or Excel, take ownership of your code, and easily describe features in plain English as your AI writes consistent, production-ready code.
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Build robust REST APIs with Google Sheets for free
Create custom mystery packs of Pokemon and Sports cards
AI code review that knows when to chime in
AI sales assistant that finds leads + books meetings for you
Sandbox claude code, codex, or any TUI on macOS
Build and deploy apps from any AI coding tool, in one place
Write without switching tools
Turn raw CSV and JSON into an interactive data canvas
Train code reading skills in a GeoGuessr-like game
One API to publish to Instagram, TikTok, Youtube and others
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Face to face AI companion calls with voice, motion, memory
Like SQLite, but for the web
Test, iterate, and launch an agentic storefront in minutes
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Keep a library of saved text, paste it in a keystroke
Export Tesla dashcam video with driving data overlaid
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Intel's GPU business has always been a mystery, not just on the consumer front, but also in the datacenter segment, but it appears Tan has a plan in mind. Intel's CEO Reveals Recent Efforts to Hire Qualcomm Executive Were a Part of the GPU Business Strategy Intel has been in a struggling position ever since Lip-Bu Tan took over, given that the company still hasn't defined a clear roadmap for where it is heading with AI. When you look at Team Blue's accelerator plans, the only thing we know about is the 'inference-focused' Crescent Island, since progress around Jaguar Shores [β¦]
Read full article at https://wccftech.com/intel-shows-no-signs-of-leaving-the-gpu-business/

Zoye allows you to run all your business tools in one place, featuring a personal AI assistant that streamlines your workflow. Manage tasks, CRM, deals, documents, calendar, accounting, reports, automations, and teamsβall handled by your AI assistant. This platform is designed to redefine how businesses operate with integrated productivity and management tools.
Illustro is an AI illustration generator tailored for websites, marketing, books, and more. Simply describe your idea, choose a style, and generate professional, consistent visuals in seconds. Easily edit your illustrations with AI by adding or removing elements, adjusting colors, and exporting in PNG, JPG, or SVG formats for use in Figma or Adobe Illustrator. You can use your illustrations commercially with full rights and iterate by regenerating them until they perfectly match your brand.
DocScribl is an AI-powered workflow scribe that captures browser-based processes, explains each step clearly, and produces visual timelines with screenshots. It allows you to export documentation to PDF and Markdown while providing contextual answers to questions about any process step. Emphasizing privacy, it features local-only capture and encryption, supports versioning and team sharing, and helps standardize processes to speed up onboarding and enhance knowledge transfer.
The next-gen Xbox console from Microsoft, which we know will be powered by a semi-custom SoC currently in development from AMD, is "progressing well to support a launch in 2027," said AMD's chief executive officer, Dr. Lisa Siu, during the company's 2025 fourth quarter earnings call. "For 2026, we expect semi-custom SoC annual revenue to decline by a significant double-digit percentage as we enter the seventh year of what has been a very strong console cycle," Dr. Siu said on the call. "From a product standpoint, Valve is on track to begin shipping its AMD-powered Steam Machine early this year. [β¦]
Read full article at https://wccftech.com/amds-semi-custom-soc-thatll-power-the-next-gen-xbox-is-progressing-well-to-support-a-launch-in-2027-says-amd-ceo/


VFX AI is an enterprise-ready SaaS video platform designed for creators and teams to transform long-form videos into short, impactful clips using AI. It enables cutting, reframing, and editing through straightforward text-based commands, along with advanced editing workflows. The platform identifies key moments, ensures subjects stay in frame, generates captions, and exports videos optimized for platforms like Shorts, Reels, and TikTok. Designed for scalability, VFX AI supports team collaboration, brand kits, SSO, SCIM, and integrates seamlessly with existing tools, allowing for quicker video content production and management.
A handy update to make poll options stand out.
Western Digital aims to revolutionise the HDD space with plans to boost bandwidth by 8x While SSDs now dominate the consumer PC market, HDDs still have a place within the overall storage market. Mass storage requires a medium that can store large amounts of data, and while SSDs are fast, data density and pricing are [β¦]
The post Western Digital to revolutionise HDDs with βHigh-Bandwidth Driveβ and βDual Pivotβ tech appeared first on OC3D.
Everyone uses "cloud computing"β¦ but almost nobody knows who actually coined the term. Take a guess.
Take-Two Interactive's third-quarter financial results have been published, which means there's plenty of information to glean from the company behind 2K and Rockstar's latest numbers. What everyone wants to hear about, though, is Grand Theft Auto VI, which may just be the most anticipated video game ever, and in the meantime, GTA V has hit yet another astronomical sales milestone. While Take-Two's chief executive officer, Strauss Zelnick, didn't get too deep into what's coming for GTA VI, he did confirm in an interview with The Game Business and during the call with investors that we can expect more "marketing beats" [β¦]
Read full article at https://wccftech.com/more-grand-theft-auto-vi-marketing-beats-coming-in-summer-2026-while-gta-v-has-sold-over-225m-copies/

Apple appears to be on the cusp of launching its first major products of the new year, namely, the M5 Pro and M5 Max MacBook Pro devices, as two tantalizing signs beef up our confidence in this upbeat projection. Sign #1: The macOS 26.3 RC update and the connection to the M5 Pro and M5 Max MacBook Pro devices Apple has just launched the 26.3 release candidate (RC) build for Xcode, allowing users to leverage OpenAI's Codex and Anthropic's Claude Agent natively for coding-related tasks. So, why is this development a harbinger of sorts? Well, this suggests that the rest [β¦]
Read full article at https://wccftech.com/apple-might-be-days-or-even-hours-away-from-launching-the-m5-pro-and-m5-max-macbook-pro-devices-as-two-tantalizing-signs-lead-the-way/

EA's announcement that it would be going private in a buyout led by the Saudi Arabia PIF and Silver Lake wasn't the only major deal the company made in 2025. It also struck a deal with Stability AI, a generative AI firm that "is unlocking the power of open-source generative AI to expand human creativity," according to its website. At the time of the deal, Stability AI chief executive officer, Prem Akkaraju, said, "EA is a pioneer in interactive entertainment and understands that innovation begins with the creator. At Stability AI, we put creators at the center and build around [β¦]
Read full article at https://wccftech.com/to-be-a-great-electronic-artist-you-need-the-best-technology-and-tools-ea-digs-further-into-its-deal-with-stability-ai/

Google's crawl team filed a bug against WooCommerce for add-to-cart parameters wasting crawl budget. WooCommerce fixed it. Other plugins haven't.
The post Googleβs Crawl Team Filed Bugs Against WordPress Plugins appeared first on Search Engine Journal.
VMware Workstation Pro 25H2 focuses on platform updates, adding USB 3.2 support, newer virtual hardware, improved Hyper-V detection, and compatibility with recent Linux releases like Debian 13, Fedora 42, and RHEL 10, plus a new dictTool utility for working with configuration files.
ProFormaGen assists founders and finance teams in quickly creating professional pro forma models. By answering a few questions, its AI generates 36-month revenue, expense, and cash flow projections along with interactive dashboards. Users can collaborate with teammates, model multiple revenue streams, and track expenses with real-time updates. Additionally, they can export investor-ready reports and full Excel models to share and refine their plans.
The meteoric rise and sustained success of Embark Studio's new third-person extraction shooter, ARC Raiders, will be one for the history books of the video game industry if things keep going the way they are currently going. A new report from Alinea Analytics claims that for the third consecutive month, ARC Raiders was the number one selling title across Steam, PlayStation, and Xbox. That month was, of course, January 2026, during which Alinea Analytics says ARC Raiders sold an additional 1.5 million copies just on Steam. On PlayStation and Xbox, it combined for an additional 1.7 million copies sold, bringing [β¦]
Read full article at https://wccftech.com/arc-raiders-dominance-continues-reportedly-stands-as-top-selling-game-across-steam-xbox-and-playstation-for-third-consecutive-month/


Several EU nations are looking to implement teen social media restrictions.Β

Interest in UpScrolled appears to be waning as TikTok gets back on track in the U.S.Β
LinkedIn says that more B2B buying activity now stems from creator content.
Google updated its Googlebot documentation to clarify file size limits, separating default limits that apply to all crawlers from Googlebot-specific details.
The post Google Updates Googlebot File Size Limit Docs appeared first on Search Engine Journal.
Stacks is an AI-powered no-code platform that enables users to create a mobile app, website, POS system, and QR menu all in one place. Generate layouts in seconds, customize them with a drag-and-drop builder, and publish to iOS and Android instantly. You can connect WooCommerce payments, send push notifications, manage products and orders, and track sales and inventory. Start for free on a stacksmarket.co subdomain and upgrade for additional features and support.

Last week, Google debuted its latest generative AI experiment, Project Genie. It's a tool capable of generating interactive three-dimensional environments made entirely through generative AI that you can explore for one solid minute. All you need to do (after paying the $250 monthly fee for Google's AI Ultra subscription) is write a prompt to start generating your own game-like worlds, but besides the paywall barrier, there are more than a few limitations to this technology in terms of it becoming the new way to make games. The fact that it runs at a slide-show speed of 24 frames per second, [β¦]
Read full article at https://wccftech.com/googles-project-genie-shows-meaningful-progress-in-content-generation-but-it-cant-replace-creative-vision-says-analyst/

South Korean developer Pearl Abyss announced today that the upcoming open world action/adventure game Crimson Desert has been wishlisted by over two million users across all platforms. It is yet another strong confirmation of the mounting hype behind Crimson Desert. It's been a while since the market got a fantasy triple-A open world game of this scale (the world is said to be twice as big as Skyrim's), after all, and fans can't wait to get their hands on the game after many years of development. Thankfully, in addition to celebrating wishlist milestones, Pearl Abyss is still sharing little nuggets [β¦]
Read full article at https://wccftech.com/crimson-desert-2-million-wishlists-middle-the-witcher-3-zelda/

NVIDIA and OpenAI are all that's being talked about in the AI world, not because there have been changes in their commitments, but because the scale of the partnership is so immense that it captures all the market spotlight. Before we dive into the ongoing NVIDIA-OpenAI fiasco, it's important to note the fundamentals that underpin the partnership. Team Green is currently the world's largest AI infrastructure provider, and almost all hyperscalers are dependent on the company, not just for hardware, but also for financial commitments in the form of "collaborations" or whatever you call it. At the same time, NVIDIA [β¦]
Read full article at https://wccftech.com/the-nvidia-openai-fiasco-isnt-about-compute-its-about-control/

The UK ICO has launched a formal investigation into the app.
The investigation relates to algorithmic manipulation and the latest Grok misuse controversy.Β

Microsoft Advertising today launched the Publisher Content Marketplace (PCM), a system that lets publishers license premium content to AI products and get paid based on how that content is used.
How it works. PCM creates a direct value exchange. Publishers set licensing and usage terms, while AI builders discover and license content for specific grounding scenarios. The marketplace also includes usage-based reporting, giving publishers visibility into how their content performs and where it creates the most value.
Designed to scale. PCM is designed to avoid one-off licensing deals between individual publishers and AI providers. Participation is voluntary, ownership remains with publishers, and editorial independence stays intact. The marketplace supports everyone from global publishers to smaller, specialized outlets.
Why we care. As AI systems shift from answering questions to making decisions, content quality matters more than ever. As agents increasingly guide purchases, finance, and healthcare choices, ads and sponsored messages will sit alongside β or draw from β premium content rather than generic web signals. That raises the bar for credibility and points to a future where brand alignment with trusted publishers and AI ecosystems directly impacts performance.
Early traction. Microsoft Advertising co-designed PCM with major U.S. publishers, including Business Insider, CondΓ© Nast, Hearst, The Associated Press, USA TODAY, and Vox Media. Early pilots grounded Microsoft Copilot responses in licensed content, with Yahoo among the first demand partners now onboarding.
Whatβs next. Microsoft plans to expand the pilot to more publishers and AI builders that share a core belief: as the AI web evolves, high-quality content should be respected, governed, and paid for.
The big picture. In an agentic web, AI tools increasingly summarize, reason, and recommend through conversation. Whether the topic is medical safety, financial eligibility, or a major purchase, outcomes depend on access to trusted, authoritative sources β many of which sit behind paywalls or in proprietary archives.
The tension. The traditional web bargain was simple: publishers shared content, and platforms sent traffic back. That model breaks down when AI delivers answers directly, cutting clicks while still depending on premium content to perform well.
Bottom line. If AI is going to make better decisions, it needs better inputs β and PCM is Microsoftβs bet that a sustainable content economy can power the next phase of the agentic web.
Microsoftβs announcement. Building Toward a Sustainable Content Economy for the Agentic Web

Vibe coding is a new way to create software using AI tools such as ChatGPT, Cursor, Replit, and Gemini. It works by describing to the tool what you want in plain language and receiving written code in return. You can then simply paste the code into an environment (such as Google Colab), run it, and test the results, all without ever actually programming a single line of code.
Collins Dictionary named βvibe codingβ word of the year in 2025, defining it as βthe use of artificial intelligence prompted by natural language to write computer code.β
In this guide, youβll understand how to start vibe coding, learn its limitations and risks, and see examples of great tools created by SEOs to inspire you to vibe code your own projects.
While βvibe codingβ is used as an umbrella term, there are subsets of coding with support or AI, including the following:
| Type | Description | Tools |
| AI-assisted codingΒ | AI helps write, refactor, explain, or debug code. Used by actual developers or engineers to support their complex work. | GitHub Copilot, Cursor, Claude, Google AI Studio |
| Vibe coding | Platforms that handle everything except the prompt/idea. AI does most of the work. | ChatGPT, Replit, Gemini, Google AI Studio |
| No-code platforms | Platforms that handle everything you ask (βdrag and dropβ visual updates while the code happens in the background). They tend to use AI but existed long before AI became mainstream. | Notion, Zapier, Wix |
Weβll focus exclusively on vibe coding in this guide.Β
With vibe coding, while thereβs a bit of manual work to be done, the barrier is still low β you basically need a ChatGPT account (free or paid) and access to a Google account (free). Depending on your use case, you might also need access to APIs or SEO tools subscriptions such as Semrush or Screaming Frog.
The SEO toolkit you know, plus the AI visibility data you need.
To set expectations, by the end of this guide, youβll know how to run a small program on the cloud. If you expect to build a SaaS or software to sell, AI-assisted coding is a more reasonable option to take, which will involve costs and deeper coding knowledge.
Vibe coding is great when youβre trying to find outcomes for specific buckets of data, such as finding related links, adding pre-selected tags to articles, or doing something fun where the outcome doesnβt need to be exact.
For example, Iβve built an app to create a daily drawing for my daughter. I type a phrase about something that she told me about her day (e.g., βI had carrot cake at daycareβ). The app has some examples of drawing styles I like and some pictures of her. The outputs (drawings) are the final work as they come from AI.
When I ask for specific changes, however, the program tends to worsen and redraw things I didnβt ask for. I once asked to remove a mustache and it recolored the image instead.Β
If my daughter were a client whoβd scrutinize the output and require very specific changes, Iβd need someone who knows Photoshop or similar tools to make specific improvements. In this case, though, the results are good enough.Β

Building commercial applications solely on vibe coding may require a company to hire vibe coding cleaners. However, for a demo, MVP (minimum viable product), or internal applications, vibe coding can be a useful, effective shortcut.Β
Using vibe coding to create your own SEO tools require three steps:
Hereβs a prompt example for a tool I built to map related links at scale. After crawling a website using Screaming Frog and extracting vector embeddings (using the crawlerβs integration with OpenAI), I vibe coded a tool that would compare the topical distance between the vectors in each URL.
This is exactly what I wrote on ChatGPT:
I need a Google Colab code that will use OpenAI to:
Check the vector embeddings existing in column C. Use cosine similarity to match with two suggestions from each locale (locale identified in Column A).Β
The goal is to find which pages from each locale are the most similar to each other, so we can add hreflang between these pages.
Iβll upload a CSV with these columns and expect a CSV in return with the answers.
Then I pasted the code that ChatGPT created on Google Colab, a free Jupyter Notebook environment that allows users to write and execute Python code in a web browser. Itβs important to run your program by clicking on βRun allβ in Google Colab to test if the output does what you expected.

This is how the process works on paper. Like everything in AI, it may look perfect, but itβs not always functioning exactly how you want it.Β
Youβll likely encounter issues along the way β luckily, theyβre simple to troubleshoot.
First, be explicit about the platform youβre using in your prompt. If itβs Google Colab, say the code is for Google Colab.Β
You might still end up with code that requires packages that arenβt installed. In this case, just paste the error into ChatGPT and itβll likely regenerate the code or find an alternative. You donβt even need to know what the package is, just show the error and use the new code. Alternatively, you can ask Gemini directly in your Google Colab to fix the issue and update your code directly.

AI tends to be very confident about anything and could return completely made-up outputs. One time I forgot to say the source data would come from a CSV file, so it simply created fake URLs, traffic, and graphs. Always check and recheck the output because βit looks goodβ can sometimes be wrong.
If youβre connecting to an API, especially a paid API (e.g., from Semrush, OpenAI, Google Cloud, or other tools), youβll need to request your own API key and keep in mind usage costs.Β

Should you want an even lower execution barrier than Google Colab, you can try using Replit.Β

Simply prompt your request and the software will create the code, design, and allow testing all on the same screen. This means a lower chance of coding errors, no copy and paste, and a URL you can share right away with anyone to see your project built with a nice design. (You should still check for poor outputs and iterate with prompts until your final app is built.)
Keep in mind that while Google Colab is free (youβll only spend if you use API keys), Replit charges a monthly subscription and per-usage fee on APIs. So the more you use an app, the more expensive it gets.
While Google Colab is the most basic (and easy) way to vibe code a small program, some SEOs are taking vibe coding even further by creating programs that are turned into Chrome extensions, Google Sheets automation, and even browser games.
The goal behind highlighting these tools is not only to showcase great work by the community, but also to inspire, build, and adapt to your specific needs. Do you wish any of these tools had different features? Perhaps you can build them for yourself β or for the world.
After vibe coding some SEO tools on Google Colab, Celeste Gonzalez, Director of SEO Testing at RicketyRoo Inc, took her vibing skills a step further and created a Chrome extension. βI realized that I donβt need to build something big, just something useful,β she explained.
Her browser extension, the GBP Reviews Sentiment Analyzer, summarizes sentiment analysis for reviews over the last 30 days and review velocity. It also allows the information to be exported into a CSV. The extension works on Google Maps and Google Business Profile pages.

Instead of ChatGPT, Celeste used a combination of Claude (to create high-quality prompts) and Cursor (to paste the created prompts and generate the code).
AI tools used: Claude (Sunner 4.5 model) and CursorΒ
APIs used: Google Business Profile API (free)
Platform hosting: Chrome Extension
I became obsessed with the Knowledge Graph in 2022, when I learned how to create and manage my own knowledge panel. Since then, I found out that Google has a Knowledge Graph Search API that allows you to check the confidence score for any entity.
This vibe-coded tool checks the score for your entities daily (or at any frequency you want) and returns it in a sheet. You can track multiple entities at once and just add new ones to the list at any time.

The Knowledge Panel Tracker runs completely on Google Sheets, and the Knowledge Graph Search API is free to use. This guide shows how to create and run it in your own Google account, or you can see the spreadsheet here and just update the API key under Extensions > App Scripts.Β
AI models used: ChatGPT 5.1
APIs used: Google Knowledge Graph API (free)
Platform hosting: Google Sheets
How about vibe coding a link building asset? Thatβs what Vince Nero from BuzzStream did when creating the Inbox Hero Game. It requires you to use your keyboard to accept or reject a pitch within seconds. The game is over if you accept too many bad pitches.

Inbox Hero Game is certainly more complex than running a piece of code on Google Colab, and it took Vince about 20 hours to build it all from scratch. βI learned you have to build things in pieces. Design the guy first, then the backgrounds, then one aspect of the game mechanics, etc.,β he said.
The game was coded in HTML, CSS, and JavaScript. βI uploaded the files to GitHub to make it work. ChatGPT walked me through everything,β Vince explained.
According to him, the longer the prompt continued, the less effective ChatGPT became, βto the point where [heβd] have to restart in a new chat.βΒ
This issue was one of the hardest and most frustrating parts of creating the game. Vince would add a new feature (e.g., score), and ChatGPT would βguaranteeβ it found the error, update the file, but still return with the same error.Β
Track, optimize, and win in Google and AI search from one platform.
In the end, Inbox Hero Game is a fun game that demonstrates itβs possible to create a simple game without coding knowledge, yet taking steps to perfect it would be more feasible with a developer.
AI models used: ChatGPT
APIs used: None
Platform hosting: Webpage
Vibe coding wonβt replace developers, and it shouldnβt. But as these examples show, it can responsibly unlock new ways for SEOs to prototype ideas, automate repetitive tasks, and explore creative experiments without heavy technical lift.Β
The key is realism: Use vibe coding where precision isnβt mission-critical, validate outputs carefully, and understand when a project has outgrown βgood enoughβ and needs additional resources and human intervention.
When approached thoughtfully, vibe coding becomes less about shipping perfect software and more about expanding whatβs possible β faster testing, sharper insights, and more room for experimentation. Whether youβre building an internal tool, a proof of concept, or a fun SEO side project, the best results come from pairing curiosity with restraint.
Build the Damn Thing helps entrepreneurs transition from having no idea to creating an initial product through a guided BUILD sprint. Users can answer focused questions and leverage proven frameworks with AI assistance to validate ideas, check names and domains, generate a logo, and create an editable business plan with links to launch a live MVP. Additionally, Build the Damn Thing enhances learning through its bestselling book and podcast.
Xbox has announced the first batch of Xbox Game Pass games joining the service for February 2026, headlined by a couple of major past releases and one new day-one launch for the subscription service. That new release is Squanch Games' upcoming High on Life 2, while the other headlining titles include Kingdom Come: Deliverance and Avatar: Frontiers of Pandora. This new batch of games also includes a couple of titles already included in the service for players subscribed to the Game Pass Ultimate tier that are now available for Premium tier members. Once again, unfortunately for Essential tier players, there's [β¦]
Read full article at https://wccftech.com/avatar-frontiers-of-pandora-high-on-life-2-and-kingdom-come-deliverance-headline-new-xbox-game-pass-games/

In terms of image quality, LED TVs will always be surpassed by mini-LED technology by miles, but the problem is that the transition to an advanced display is always an expensive decision, unless you purchase a Hisense TV. On Amazon, the companyβs QD7 family is not just available in multiple sizes, starting from 50 inches, but these will go easy on your wallet and go all the way up to 100 inches. Best of all, you only need $297.99 in cash to get started. For those looking for both media consumption and gaming, we recommend getting a Hisense mini-LED TV [β¦]
Read full article at https://wccftech.com/hisense-mini-led-tvs-with-amazing-picture-quality-start-from-297-99-on-amazon/

Since moving on from the Gamebryo engine, which powered The Elder Scrolls IV: Oblivion, its faithful remake (which proved successful even without having great player retention) and Fallout 3, Bethesda used its Creation Engine for all its games, including The Elder Scrolls V: Skyrim and Fallout 4. Despite powering what is widely considered one of the best role-playing games of all time, the engine caught some flak from gamers for how it manages the sprawling worlds of the games it powers, forcing dated, immersion-breaking loading screens, as seen in Starfield. For this reason, many wish Bethesda would leave this engine [β¦]
Read full article at https://wccftech.com/you-are-talking-about-putting-your-developers-into-a-situation-where-they-cant-play-the-game-heres-why-the-elder-scrolls-6-will-use-creation-engine-again/

Just like NVIDIA, AMD is expected to prioritize 8 GB Radeon GPUs, including SKUs from the previous generation. AMD to Focus More on 8 GB GPUs, Including RX 9060 XT and RX 7650 GRE, While AICs Plan to Carry Out a Second Price Hike Soon AMD GPUs are about to get more expensive as its board partners are planning to implement a second price hike very soon. We reported on this yesterday that AMD's board partners have already implemented a price hike of nearly 5-10% in January, and are expected to hike the prices a second time this month or [β¦]
Read full article at https://wccftech.com/amd-is-rumoredly-prioritizing-8-gb-gpus/

Obsidian Entertainment was one of the busiest studios in 2025, releasing not just one, but three major titles last year. It began the year with Avowed in February 2025, followed by Grounded 2 releasing in early access in July 2025, and capped off the year with The Outer Worlds 2 in October 2025. Two of those three games were misfires in terms of sales (though they were fairly well received by critics, especially here on Wccftech), and a new report from Bloomberg digs into how the studio is looking to bounce back and "reinvent itself." If you can't guess which [β¦]
Read full article at https://wccftech.com/that-sucks-what-are-we-learning-new-report-reveals-how-obsidian-looks-to-bounce-back-after-two-commercial-misses-in-2025/

Upcoming Arrow Lake Refresh CPUs have been listed on a few European retailers, and it appears that Intel has maintained the same pricing as their predecessors. Intel Core Ultra 5 250K/KF Plus and Ultra 7 270K Plus Listed on Retailers Ahead of Official Launch While we await Intel's announcement on upcoming Intel Arrow Lake Refresh CPUs, some retailers have already gotten their hands on these SKUs. It appears that the CPU launch is quite close, and according to the listings, the processors should cost no more than their predecessors from the current Arrow Lake series. The listings were spotted by [β¦]
Read full article at https://wccftech.com/intel-core-ultra-200-plus-series-skus-listed-on-eu-retailers/


AI-powered search gutted LinkedInβs B2B awareness traffic. Across a subset of topics, non-brand organic visits fell by as much as 60% even while rankings stayed stable, the company said.
By the numbers. In a new article, LinkedIn said its B2B organic growth team started researching Googleβs Search Generative Experience (SGE) in early 2024. By early 2025, when SGE evolved into AI Overviews, the impact became significant.
Yes, but. LinkedInβs βnew learningsβ are more like a rehash of established SEO/AEO best practices. Hereβs what LinkedInβs content-level guidance consists of:
Why we care. These tactics should all sound familiar. These are technical SEO and content-quality fundamentals. LinkedInβs article offers little new in terms of tactics. Itβs just updated packaging for modern SEO/AEO and AI visibility.
Dig deeper. How to optimize for AI search: 12 proven LLM visibility tactics
Measurement is broken. LinkedIn said its big challenge is the βdarkβ funnel. It canβt quantify how visibility in LLM answers impacts the bottom line, especially when discovery happens without a click.
What LinkedIn is doing. LinkedIn created an AI Search Taskforce spanning SEO, PR, editorial, product marketing, product, paid media, social, and brand. Key actions included:
Is it working? LinkedIn said early tests produced a meaningful lift in visibility and citations, especially from owned content. At least one external datapoint (Semrush, Nov. 10, 2025) suggested that LinkedIn has a structural advantage in AI search:
Incomplete story. LinkedInβs article is an interesting read, but itβs light on specifics. Missing details include:
Bottom line. LinkedIn is right that visibility is the new currency. However, it hasnβt shown enough detail to prove its new playbook is meaningfully different from doing some SEO (yes, SEO) fundamentals.
LinkedInβs article. How LinkedIn Marketing Is Adapting to AI-Led Discovery
Capcom removes Denuvo from Resident Evil 4βs PC version with a fresh update Capcom has released a new update for the PC version of Resident Evil 4 (the 2023 remake), removing Denuvo from the game. This is an undocumented change to the PC version of the game, with Capcom releasing new patch notes for this [β¦]
The post Capcom removes Denuvo from its Resident Evil 4 Remake appeared first on OC3D.
Expect the Epic Games Store to become faster and more stable in 2026 Epic Games has confirmed that its Epic Games Store is getting rebuilt this year. The company is working on the βunderlying architectureβ of its launcher and plans to ship these improvements this summer. This should make the Epic Games Store more responsive [β¦]
The post The Epic Games Store is getting rebuilt for speed and ease of use appeared first on OC3D.
Riverside is an all-in-one podcast and video studio for businesses and content creators who demand professional quality without technical complexities. Podcasters, video creators, and businesses worldwide produce studio-quality content in a fraction of the time compared to traditional methods. Businesses and content creators use Riverside for audio and video production, including podcast recording, editing, hosting, and publishing, remote interviews, marketing content like testimonials and case studies, live-streaming conferences with multiple presenters, webinars with interactive elements, and screen capturing for tutorials and product demos.


Samsung's planned initial production runs for its upcoming devices are leading to aberrant outcomes this year, with the South Korean giant planning to produce a lot more Galaxy Z Fold 8 units than the cheaper Galaxy Z Flip 8 ones, while going all-in on the Galaxy S26 Ultra, to the detriment of its base and plus counterparts. Samsung to produce 3.5 million units of the Galaxy Fold 8 vs. just 2.5-3 million units of the Galaxy Z Flip 8 According to ET News, Samsung is planning to produce 3.5 million units of the Galaxy Fold 8 and between 2.5 million [β¦]
Read full article at https://wccftech.com/samsung-thinks-the-galaxy-z-fold-8-will-sell-better-than-the-cheaper-galaxy-z-flip-8-this-year/

Intel is now looking to capitalize on the ongoing DRAM demand by partnering with a SoftBank subsidiary to launch a new "ZAM" memory technology. Intel's ZAM Memory Modules Now Bring In Higher Power Efficiency Through Innovative Interconnect & EMIB Well, with the AI infrastructure buildout being at its peak this year, there has been a gigantic rise in DRAM demand, driven by the adoption of hyperscalers and chip manufacturers. And more importantly, given that memory suppliers are limited worldwide, the supply chain bottleneck is immense right now, underscoring the need for new competitors to enter, which is why Intel isΒ reported [β¦]
Read full article at https://wccftech.com/intel-plans-to-enter-the-memory-business-once-again/

Funcom has announced that Dune: Awakening Chapter 3, the game's biggest update yet, is live now. This patch continues the main story following the events of Chapter 2 and significantly revamps the previously lackluster endgame content, introducing numerous new locations, systems, and gear. Wccftech watched a remote presentation by the developer to learn the key details and features of Chapter 3; you can read our in-depth report below. In This Article: New Landsraad Mission System To start, the Landsraad system has been completely overhauled. It is now a contest between the Atreides and the Harkonnen to gain support from minor [β¦]
Read full article at https://wccftech.com/dune-awakening-chapter-3-out-now-biggest-update/

The Epic Games Store won't be toppling Steam anytime soon, but the numbers shared by Epic in its Epic Games Store 2025 Year in Review blog post clearly show that the digital storefront is growing. The digital storefront best known for giving away free games also saw quite a few players doing more than just claiming a free title each week, spending more time and money in third-party titles. 2025 was a year of record-setting for the EGS, as player spending on third-party games grew by 57% compared to last year, reaching a record-high $400 million. Epic also added that [β¦]
Read full article at https://wccftech.com/epic-games-store-saw-record-setting-third-party-sales-growth-in-2025-reaches-317m-pc-users/

Apple might have adopted a Google Gemini crutch to compensate for its own AI-related shortcomings, but that has not stopped the researchers at the Cupertino giant from trying to explore novel ways to make Siri noticeably better. Now, a new research paper from Apple researchers aims to unlock faster, more natural-sounding responses from Siri. Apple researchers figure out a viable path to elicit faster responses from Siri AI models typically generate speech based on tokens or short snippets of phonetic sounds, often spanning just milliseconds. The model then selects which phonetic sound (speech token) to use in its responses by [β¦]
Read full article at https://wccftech.com/apple-researchers-figure-out-a-way-to-unlock-faster-more-natural-sounding-conversations-with-siri/

View Wi-Fi & ethernet details from the menubar

Innovations are coming at marketers and consumers faster than before, raising the question: Are we actually ready for the agentic web?
To answer that question, itβs important to unpack a few supporting ones:
Itβs important to note that this article isnβt a mandate for AI skeptics to abandon the rational questions they have about the agentic web.Β
Nor is it intended to place any judgment on how you, as a consumer or professional, engage with the agentic web.

With thoughts and feelings so divided on the agentic web, this article aims to provide clear insight into how to think about it in earnest, without the branding or marketing fluff.
Disclosure: I am a Microsoft employee and believe in the path Microsoftβs taking with the agentic web. However, this article will attempt to be as platform-agnostic as possible.
The agentic web refers to sophisticated tools, or agents, trained on our preferences that act with our consent to accomplish time-consuming tasks.
In simple terms, when I use one-click checkout, I allow my saved payment information to be passed to the merchantβs accounts receivable systems.Β
Neither the merchant nor I must write down all the details or be involved beyond consenting to send and receive payment.
For fun, I put this question to four different AI models, and the responses are telling:Β
I begin with how different models answer the question because itβs important to understand that each one is trained on different information, and outcomes will inevitably vary.
Itβs worth noting that with the same prompt, defining the agentic web in one sentence, three out of four models focus on diminishing the human role in navigating the web, while one makes a point to emphasize the significance of human involvement, preserving user choice, transparency, and control.
Two out of four refer to the agentic web as a layer or phase rather than an outright evolution of the web.Β
This is likely where the sentiment divide on the agentic web stems from.
Some see it as a consent-driven layer designed to make life easier, while others see it as a behemoth that consumes content, critical thinking, and choice.
Itβs noteworthy that one model, Gemini, calls out APIs as a means of communication in the agentic web. APIs are essentially libraries of information that can be referenced, or called, based on the task you are attempting to accomplish.Β
This matters because APIs will become increasingly relevant in the agentic web, as saved preferences must be organized in ways that are easily understood and acted upon.
Defining the agentic web requires spending some time digging into two important protocols β ACP and UCP.
Dig deeper: AI agents in SEO: What you need to know
The Agentic Commerce Protocol, or ACP, is designed around a specific moment: when a user has already expressed intent and wants the AI to act.
The core idea behind ACP is simple. If a user tells an AI assistant to buy something, the assistant should be able to do so safely, transparently, and without forcing the user to leave the conversation to complete the transaction.
ACP enables this by standardizing how an AI agent can:
The experience is intentionally streamlined. The user stays in the conversation. The AI handles the mechanics. The merchant still fulfills the order.
This approach is tightly aligned with conversational AI platforms, particularly environments where users are already asking questions, refining preferences, and making decisions in real time. It prioritizes speed, clarity, and minimal friction.
The Universal Commerce Protocol, or UCP, takes a broader view of agentic commerce.
Rather than focusing solely on checkout, UCP is designed to support the entire shopping journey on the agentic web, from discovery through post-purchase interactions. It provides a common language that allows AI agents to interact with commerce systems across different platforms, surfaces, and payment providers.Β
That includes:Β
UCP is designed with scale and interoperability in mind. It assumes users will encounter agentic shopping experiences in many places, not just within a single assistant, and that merchants will want to participate without locking themselves into a single AI platform.
Itβs tempting to frame ACP and UCP as competing solutions. In practice, they address different moments of the same user journey.
ACP is typically strongest when intent is explicit and the user wants something done now. UCP is generally strongest when intent is still forming and discovery, comparison, and context matter.
So whatβs the agentic web? Is it an army of autonomous bots acting on past preferences to shape future needs? Is it the web as we know it, with fewer steps driven by consent-based signals? Or is it something else entirely?
The frustrating answer is that the agentic web is still being defined by human behavior, so thereβs no clear answer yet. However, we have the power to determine what form the agentic web takes. To better understand how to participate, we now move to how the agentic web can be used, along with the pros and cons.
Dig deeper: The Great Decoupling of search and the birth of the agentic web
Working from the common theme across all definitions, autonomous action, we can move to applications.
Elmer Boutin has written a thoughtful technical view on how schema will impact agentic web compatibility. Benjamin Wenner has explored how PPC management might evolve in a fully agentic web. Both are worth reading.
Here, I want to focus on consumer-facing applications of the agentic web and how to think about them in relation to the tasks you already perform today.
Here are five applications of the agentic web that are live today or in active development.
A user states a goal, such as βFind me the best running shoes under $150,β and an agent handles discovery, comparison, and checkout without requiring the user to manually browse multiple sites.Β
How it worksΒ
Rather than returning a list of links, the agent interprets user intent, including budget, category, and preferences.Β
It pulls structured product information from participating merchants, applies reasoning logic to compare options, and moves toward checkout only after explicit user confirmation.Β
The agent operates on approved product data and defined rules, with clear handoffs that keep the user in control.Β
Implications for consumers and professionalsΒ
Reducing decision fatigue without removing choice is a clear benefit for consumers. For brands, this turns discovery into high-intent engagement rather than anonymous clicks with unclear attribution.Β
Strategically, it shifts competition away from who shouts the loudest toward who provides the clearest and most trusted product signals to agents. These agents can act as trusted guides, offering consumers third-party verification that a merchant is as reliable as it claims to be.
A brand deploys its own AI agent to answer questions, recommend products, and support customers using the brandβs data, tone, and business rules.
How it worksΒ
The agent uses first-party information, such as product catalogs, policies, and FAQs.Β
Guardrails define what it can say or do, preventing inferences that could lead to hallucinations.Β
Responses are generated by retrieving and reasoning over approved context within the prompt.
Implications for consumers and professionalsΒ
Customers get faster and more consistent responses. Brands retain voice, accountability, and ownership of the experience.Β
Strategically, this allows companies to participate in the agentic web without ceding their identity to a platform or intermediary. It also enables participation in global commerce without relying on native speakers to verify language.
Users delegate outcomes rather than steps, such as βPrepare a weekly performance summaryβ or βReorder inventory when stock is low.βΒ
How it worksΒ
The agent breaks the goal into subtasks, determines which systems or tools are needed, and executes actions sequentially. It pauses when permissions or human approvals are required.Β
These can be provided in bulk upfront or step by step. How this works ultimately depends on how the agent is built.Β
Implications for consumers and marketersΒ
Weβre used to treating AI like interns, relying on micromanaged task lists and detailed prompts. As agents become more sophisticated, it becomes possible to treat them more like senior employees, oriented around outcomes and process improvement.Β
That makes it reasonable to ask an agent to identify action items in email or send templates in your voice when active engagement isnβt required. Human choice comes down to how much you delegate to agents versus how much you ask them to assist.
Dig deeper: The future of search visibility: What 6 SEO leaders predict for 2026
Agents communicate with other agents on behalf of people or organizations, such as a buyer agent comparing offers with multiple seller agents.Β
How it worksΒ
Agents exchange structured information, including pricing, availability, and constraints.Β
They apply predefined rules, such as budgets or policies, and surface recommended outcomes for human approval.Β
Implications for consumers and marketersΒ
Consumers may see faster and more transparent comparisons without needing to manually negotiate or cross-check options.Β
For professionals, this introduces new efficiencies in areas like procurement, media buying, or logistics, where structured negotiation can occur at scale while humans retain oversight.
Agents donβt just act once. They improve as they observe outcomes.
How it worksΒ
After each action, the agent evaluates what happened, such as engagement, conversion, or satisfaction. It updates its internal weighting and applies those learnings to future decisions.
Why people should careΒ
Consumers experience increasingly relevant interactions over time without repeatedly restating preferences.Β
Professionals gain systems that improve continuously, shifting optimization from one-off efforts to long-term, adaptive performance.Β
Life is a series of choices, and leaning into or away from the agentic web comes with clear pros and cons.
The strongest argument for leaning into the agentic web is behavioral. People have already been trained to prioritize convenience over process.Β
Saved payment methods, password managers, autofill, and one-click checkout normalized the idea that software can complete tasks on your behalf once trust is established.
Agentic experiences follow the same trajectory. Rather than requiring users to manually navigate systems, they interpret intent and reduce the number of steps needed to reach an outcome.Β
Many brands will need to rethink how their content, data, and experiences are structured so they can be interpreted by automated systems and humans. What works for visual scanning or brand storytelling doesnβt always map cleanly to machine-readable signals.
Thereβs also a legitimate risk of overoptimization. Designing primarily for AI ingestion can unintentionally degrade human usability or accessibility if not handled carefully.Β
Dig deeper: The enterprise blueprint for winning visibility in AI search
Choosing to lean away from the agentic web can offer clarity of stance. Thereβs a visible segment of users skeptical of AI-mediated experiences, whether due to privacy concerns, automation fatigue, or a loss of human control.Β
Aligning with that perspective can strengthen trust with audiences who value deliberate, hands-on interaction.
If agentic interfaces become a primary way people discover information, compare options, or complete tasks, opting out entirely may limit visibility or participation.Β
The longer an organization waits to adapt, the more expensive and disruptive that transition can become.
Whatβs notable across the ecosystem is that agentic systems are increasingly designed to sit on top of existing infrastructure rather than replace it outright.Β
Avoiding engagement with these patterns may not be sustainable over time. If interaction norms shift and systems arenβt prepared, the combination of technical debt and lost opportunity may be harder to overcome later.
The agentic web is still taking form, shaped largely by how people choose to use it. Some organizations are already applying agentic systems to reduce friction and improve outcomes. Others are waiting for stronger trust signals and clearer consent models.
Either approach is valid. What matters is understanding how agentic systems work, where they add value, and how emerging protocols are shaping participation. That understanding is the foundation for deciding when, where, and how to engage with the agentic web.

Digital PR is about to matter more than ever. Not because itβs fashionable, or because agencies have rebranded link building with a shinier label, but because the mechanics of search and discovery are changing.Β
Brand mentions, earned media, and the wider PR ecosystem are now shaping how both search engines and large language models understand brands. That shift has serious implications for how SEO professionals should think about visibility, authority, and revenue.
At the same time, informational search traffic is shrinking. Fewer people are clicking through long blog posts written to target top-of-funnel keywords.Β
The commercial value in search is consolidating around high-intent queries and the pages that serve them: product pages, category pages, and service pages. Digital PR sits right at the intersection of these changes.
What follows are seven practical, experience-led secrets that explain how digital PR actually works when itβs done well, and why itβs becoming one of the most important tools in SEOsβ toolkit.
Digital PR is usually described as a link tactic, a brand play or, more recently, as a way to influence generative search and AI outputs.
All of thatβs true. Whatβs often overlooked is that digital PR can also drive revenue directly.
When a brand appears in a relevant media publication, itβs effectively placing itself in front of buyers while they are already consuming related information.
This is not passive awareness. Itβs targeted exposure during a moment of consideration.
Platforms like Google are exceptionally good at understanding user intent, interests and recency. Anyone who has looked at their Discover feed after researching a product category has seen this in action.Β
Digital PR taps into the same behavioral reality. You are not broadcasting randomly. You are appearing where buyers already are.
Two things tend to happen when this is executed well.
This effect is driven by basic behavioral principles such as recency and familiarity. While itβs difficult to attribute cleanly in analytics, the commercial impact is very real.Β
We see this most clearly in direct-to-consumer, finance, and health markets, where purchase cycles are active and intent is high.
Digital PR is not just about supporting sales. In the right conditions, itβs part of the sales engine.
Dig deeper: Discoverability in 2026: How digital PR and social search work together
One of the most consistent patterns in successful digital PR campaigns is repetition.
When a brand appears again and again in relevant media coverage, tied to the same themes, categories, or areas of expertise, it builds familiarity.Β
That familiarity turns into trust, and trust turns into preference. This is known as the mere exposure effect, and itβs fundamental to how brands grow.
In practice, this often happens through syndicated coverage. A strong story picked up by regional or vertical publications can lead to dozens of mentions across different outlets.Β
Historically, many SEOs undervalued this type of coverage because the links were not always unique or powerful on their own.
That misses the point.
What this repetition creates is a dense web of co-occurrences. Your brand name repeatedly appears alongside specific topics, products, or problems. This influences how people perceive you, but it also influences how machines understand you.
For search engines and large language models alike, frequency and consistency of association matter.Β
An always-on digital PR approach, rather than sporadic big hits, is one of the fastest ways to increase both human and algorithmic familiarity with a brand.
Large, creative digital PR campaigns are attractive. They are impressive, they generate internal excitement, and they often win industry praise. The problem is that they also concentrate risk.
A single large campaign can succeed spectacularly, or it can fail quietly. From an SEO perspective, many widely celebrated campaigns underperform because they do not generate the links or mentions that actually move rankings.
This happens for a simple reason. What marketers like is not always what journalists need.
Journalists are under pressure to publish quickly, attract attention, and stay relevant to their audience.Β
If a campaign is clever but difficult to translate into a story, it will struggle. If all your budgetβs tied up in one idea, you have no fallback.
A diversified digital PR strategy spreads investment across multiple smaller campaigns, reactive opportunities, and steady background activity.Β
This increases the likelihood of consistent coverage and reduces dependence on any single idea working perfectly.
In digital PR, reliability often beats brilliance.
Dig deeper: How to build search visibility before demand exists
One of the most common mistakes in digital PR is forgetting who the gatekeeper is.
From a brandβs perspective, the goal might be links, mentions, or authority.Β
From a journalistβs perspective, the goal is to write a story that interests readers and performs well. These goals overlap, but they are not the same.
The journalist decides whether your pitch lives or dies. In that sense, they are the customer.
Effective digital PR starts by understanding what makes a journalistβs job easier.Β
That means providing clear angles, credible data, timely insights, and fast responses. Think about relevance before thinking about links.
When you help journalists do their job well, they reward you with exposure.Β
That exposure carries weight in search engines and in the training data that informs AI systems. The exchange is simple: value for value.
Treat journalists as partners, not as distribution channels.
Not all links are equal.
From an SEO standpoint, links to product, category, and core service pages are often far more valuable than links to blog content. Unfortunately, they are also the hardest links to acquire through traditional outreach.
This is where digital PR excels.
Because PR coverage is contextual and editorial, it allows links to be placed naturally within discussions of products, services, or markets. When done correctly, this directs authority to the pages that actually generate revenue.
As informational content becomes less central to organic traffic growth, this matters even more.
Ranking improvements on high-intent pages can have a disproportionate commercial impact.
A relatively small number of high-quality, relevant links can outperform a much larger volume of generic links pointed at top-of-funnel content.
Digital PR should be planned with these target pages in mind from the outset.
Dig deeper: How to make ecommerce product pages work in an AI-first world
Search engines have long made it clear that context matters. The text surrounding a link, and the way a brand is described, help define what that brand represents.
This has become even more important with the rise of large language models. These systems process information in chunks, extracting meaning from surrounding text rather than relying solely on links.
When your brand is mentioned repeatedly in connection with specific topics, products, or expertise, it strengthens your position as an entity in that space. This is whatβs often referred to as entity lifting.
The effect goes beyond individual pages. Brands see ranking improvements for terms and categories that were not directly targeted, simply because their overall authority has increased.Β
At the same time, AI systems are more likely to reference and summarize brands that are consistently described as relevant sources.
Digital PR is one of the most scalable ways to build this kind of contextual understanding around a brand.
Former Google engineer Jun Wu discusses this in his book βThe Beauty of Mathematics in Computer Science,β explaining that authority emerges from being recognized as a source within specific informational hubs.Β
In practical terms, this means that where you are mentioned matters as much as how big the site is.
A link or mention from a highly relevant section of a large publication can be more valuable than a generic mention on the homepage. For example, a targeted subfolder on a major media site can carry strong authority, even if the domain as a whole covers many subjects.
Effective digital PR focuses on two things:Β
This is how authority is built in a way that search engines and AI systems both recognize.
Dig deeper: The new SEO imperative: Building your brand
Digital PR is no longer a supporting act to SEO. Itβs becoming central to how brands are discovered, understood, and trusted.
As informational traffic declines and high-intent competition intensifies, the brands that win will be those that combine relevance, repetition, and authority across earned media.Β
Digital PR, done properly, delivers all three.

Google discussed its 2025 year-end report on crawling and indexing challenges for Google Search. The biggest issues were faceted navigation and action parameters, which accounted for about 75% of the problems, according to Googleβs Gary Illyes. He shared this on the latest Search Off the Record podcast, published this morning.
What is the issue. Crawling issues can slow your site to a crawl, overload your server, and make your website unusable or inaccessible. If a bot gets stuck in an infinite crawling loop, recovery can take time.
The biggest crawling challenges. Based on the report, these are the main issues Google sees:
Why we care. A clean URL structure without bot traps is essential to keep your server healthy, ensure fast page loads, and prevent search engines from getting confused about your canonical URLs.
The episode. Crawling Challenges: What the 2025 Year-End Report Tells Us.

Intel Core Ultra 5 250KF PLUS CPU listed β Are Core Ultra PLUS KF series CPUs incoming? Retail listing for Intelβs upcoming Core Ultra 200 PLUS series CPUs has been uncovered by the leaker @momomo_us. This has unveiled Intelβs upcoming Core Ultra 5 250KF PLUS CPU for the first time, a CPU that could become [β¦]
The post Intelβs Leaked Core Ultra 250KF PLUS could be their next budget CPU KING! appeared first on OC3D.
Modder makes Resident Evil sharper and more vibrant with a new 4K texture mod A game modder called βEvgeshajkβ has created a new 4K texture mod for Resident Evil HD Remastered, Capcomβs 2014 remake of the first Resident Evil game. This mod increases the gameβs texture resolution, making characters and backgrounds much more detailed. This [β¦]
The post Modder stuns with Resident Evil HD Remaster 4K Texture pack appeared first on OC3D.
While the entire RTX 50 series has soared in popularity, the RTX 5060 is climbing faster, followed by the GeForce RTX 5070. Steam Hardware Survey for January 2026 Reveals the GeForce RTX 5060 Saw a 40% Increase in Popularity, While RTX 5070 Saw a 19% Jump Month Over Month It's no coincidence that the budget RTX 50-series GPUs are now being adopted faster than ever. Blame the current market, which is forcing gamers to buy GPUs at significantly higher prices. NVIDIA and AMD have been making new supply strategies for their latest-gen GPUs, and this is resulting in much higher [β¦]
Read full article at https://wccftech.com/nvidia-rtx-5060-and-rtx-5070-see-a-sudden-jump-in-popularity/

The announcement of Star Wars: Galactic Racer at The Game Awards 2025 was among the most unexpected. It had been many years since there was a Star Wars-themed racing game, so many gamers were overjoyed at the news. At the same time, it was not clear based on the released footage, screenshots, and info whether the game would include Podracing, the high-speed fictional sport featured prominently in the movie Star Wars: The Phantom Menace, in which a very young Anakin Skywalker enters and wins a podrace. The most popular older racing games, Star Wars Episode I: Racer, Star Wars: Racer [β¦]
Read full article at https://wccftech.com/yes-star-wars-galactic-racer-has-podracing/


Microsoft today rolled out multi-turn search globally in Bing. As you scroll down the search results page, a Copilot search box now dynamically appears at the bottom.
About multi-turn search. This type of search experience lets a user continue the conversation from the Bing search results page. Instead of starting over, the searcher types a follow-up question into the Copilot search box at the bottom of the results, allowing the search to build on the previous query. Hereβs a screenshot of this feature:

Hereβs a video of it in action:
What Microsoft said. Jordi Ribas, CVP, Head of Search at Microsoft, posted this news onΒ X:
Why we care. Search engines like Google and Bing are pushing harder to move users into their AI experiences. Google is blending AI Overviews more deeply into AI Mode, even as many publishers object to how it handles their content. Bing has now followed suit, fully rolling out the Copilot search box at the bottom of search results after several months of testing.


Iβve spent over 20 years in companies where SEO sat in different corners of the organization β sometimes as a full-time role, other times as a consultant called in to βfind whatβs wrong.β Across those roles, the same pattern kept showing up.
The technical fix was rarely what unlocked performance. It revealed symptoms, but it almost never explained why progress stalled.
The real constraints showed up earlier, long before anyone read my weekly SEO reports. They lived in reporting lines, decision rights, hiring choices, and in what teams were allowed to change without asking permission.Β
When SEO struggled, it was usually because nobody rightfully owned the CMS templates, priorities conflicted across departments, or changes were made without anyone considering how they affected discoverability.
I did not have a word for the core problem at the time, but now I do β itβs governance, usually manifested by its absence.
Two workplaces in my career had the conditions that allowed SEO to work as intended. Ownership was clear.
Release pathways were predictable. Leaders understood that visibility was something you managed deliberately, not something you reacted to when traffic dipped.
Everywhere else, metadata and schema were not the limiting factor. Organizational behavior was.
Dig deeper: How to build an SEO-forward culture in enterprise organizations
Once sales pressures dominate each quarter, even technically strong sites undergo small, reasonable changes:
None of these changes look dangerous in isolation β if you know before they occur.
Over time, they add up. Performance slides, and nobody can point to a single release or decision where things went wrong.
This is the part of SEO most industry commentary skips. Technical fixes are tangible and teachable. Organizational friction is not. Yet that friction is where SEO outcomes are decided, usually months before any visible decline.
Iβve seen this drift hurt rankings, with SEO taking the blame. In one workplace, leadership brought in an agency to βfixβ the problem, only for it to confirm what Iβd already found: a lack of governance caused the decline.
Where SEO sits on the org chart determines whether you see decisions early or discover them after launch. It dictates whether changes ship in weeks or sit in the backlog for quarters.
I have worked with SEO embedded under marketing, product, IT, and broader omnichannel teams. Each placement created a different set of constraints.
When SEO sits too low, decisions that reshape visibility ship first and get reviewed later β if they are reviewed at all.
Dig deeper: SEO stakeholders: Align teams and prove ROI like a pro
Without a seat at the right table, SEO becomes a cleanup function.
When one operational unit owns SEO, the work starts to reflect that unitβs incentives.
The healthiest performance Iβve seen came from environments where SEO sat close enough to leadership to see decisions early, yet broad enough to coordinate with content, engineering, analytics, UX, and legal.
In one case, I was a high-priced consultant, and every recommendation was implemented. I havenβt repeated that experience since, but it made one thing clear: VP-level endorsement was critical. That client doubled organic traffic in eight months and tripled it over three years.
Unfortunately, the in-house SEO team is just another team that might not get the chance to excel. Placement is not everything, but it is the difference between influencing the decision and fixing the outcome.
The second pattern that keeps showing up is hiring β and it surfaces long before any technical review.
Many SEO programs fail because organizations staff strategically important roles for execution, when what they really need is judgment and influence. This isnβt a talent shortage. Itβs a screening problem
The SEO manager often wears multiple hats, with SEO as a minor one. When they donβt understand SEO requirements, they become a liability, and the C-suite rarely sees it.
Across many engagements, I watched seasoned professionals passed over for younger candidates who interviewed well, knew the tool names, and sounded confident.
HR teams defaulted to βteam fitβ because it was easier to assess than a candidateβs ability to handle ambiguity, challenge bad decisions, or influence work across departments.
SEO excellence depends on lived experience. Not years on a rΓ©sumΓ©, but having seen the failure modes up close:
Those experiences build judgment. Judgment is what prevents repeat mistakes. Often, that expertise is hard to put in a rΓ©sumΓ©.
Without SEO domain literacy, hiring becomes theater. But we canβt blame HR, which has to hire people for all parts of the business. Its only expertise is HR.
Governance needs to step in.
One of the most reliable ways to improve recruitment outcomes is simple: let the SEO leader control the shortlist.
Fit still matters. Competence matters first. When the person accountable for results shapes the hiring funnel, the best candidates are chosen.
SEO roles require the ability to change decisions, not just diagnose problems. That skill does not show up in a rΓ©sumΓ© keyword scan.
Dig deeper: The top 5 strategic SEO mistakes enterprises make (and how to avoid them)
Every department in a large organization has legitimate goals.
Each team can justify its decisions β and SEO still absorbs the cost.
I have seen simple structural improvements delayed because engineering was focused on a different initiative.
At one workplace, I was asked how much sales would increase if my changes were implemented.
I have seen content refreshed for branding reasons that weakened high-converting pages. Each decision made sense locally. Collectively, they reshaped the site in ways nobody fully anticipated.
Today, we face an added risk: AI systems now evaluate content for synthesis. When content changes materially, an LLM may stop citing us as an authority on that topic.
Strong visibility governance can prevent that.
The organizations that struggled most werenβt the ones with conflict. They were the ones that failed to make trade-offs explicit.
What are we giving up in visibility to gain speed, consistency, or safety? When that question is never asked, SEO degrades quietly.
What improved outcomes was not a tool. It was governance: shared expectations and decision rights.
When teams understood how their work affected discoverability, alignment followed naturally. SEO stopped being the team that said βnoβ and became the function that clarified consequences.
International SEO improves when teams stop shipping locally good changes that are globally damaging. Local SEO improves when there is a single source of location truth.
Many SEO problems trace back to ownership gaps that only become visible once performance declines.
When these questions have no clear answer, decisions stall or happen inconsistently. The site evolves through convenience rather than intent.
In contrast, the healthiest organizations I worked with shared one trait: clarity.
People knew which decisions they owned and which ones required coordination. They did not rely on committees or heavy documentation because escalation paths were already understood.
When ownership is clear, decisions move. When ownership is fragmented, even straightforward SEO work becomes difficult.
Dig deeper: How to win SEO allies and influence the brand guardians
Across my career, the strongest results came from environments where SEO had:
These organizations were not perfect. They were coherent.
People understood why consistency mattered. SEO was not a reactive service. It was part of the infrastructure.
If you lead SEO inside a complex organization, the most effective improvements come from small, deliberate shifts in how decisions get made:
These shifts do not require new software. They require decision clarity, discipline, and follow-through.
SEO succeeds when an organization can make and enforce consistent decisions about how it presents itself. Technical work matters, but it canβt offset structures pulling in different directions.
The strongest SEO results Iβve seen came from teams that focused less on isolated optimizations and more on creating conditions where good decisions could survive change. Thatβs visibility governance.
When SEO performance falters, the most durable fixes usually start inside the organization.
Dig deeper: What 15 years in enterprise SEO taught me about people, power, and progress
GOG celebrates its game Preservation Program with a free game giveaway Until Friday, February 5th at 2 PM UTC, GOG will be giving away free copies of Alone in the Dark: The Trilogy 1+2+3 for free on PC. This trilogy of games has had a huge impact on the survival horror gaming genre. It has [β¦]
The post GOG celebrates game preservation by making Alone in the Dark: The Trilogy free on PC appeared first on OC3D.
Navigator is a privacy-first AI coworker that guides users into automating real workflows by educating them on effective prompting, connecting the right tools to execute tasks, and enabling the creation and control of agents and automations with proven, tested workflows, all within a single app. It avoids model lock-in and ensures you only pay for what you use.

The historic Q1 2026 earnings, where Apple registered a whopping $143.756 billion in revenue, were thanks to iPhone sales, which accounted for more than 50 percent of the aforementioned figure. With this massive growth, the company has extended its hold in the U.S. smartphone market for Q4 2025, with the iPhone 17 launch ensuring that no other competitor, including Samsung, can generate momentum to derail Appleβs success in the region. U.S. smartphone market saw sales increase 1% year-over-year, with Appleβs share percentage increasing to an unrivaled 69% Part of why Apple has dominated this region, according to Counterpoint Research, is [β¦]
Read full article at https://wccftech.com/apple-us-smartphone-market-share-q4-2025-company-is-unbeatable/

WordPress published AI guidelines with five principles designed to encourage responsible use of AI.
The post WordPress Publishes AI Guidelines To Combat AI Slop appeared first on Search Engine Journal.
Nintendo confirms that the Switch is now its most successful console Nintendo has updated its sales data for its dedicated consoles, confirming that the original Switch is now the most successful gaming system. As of December 31st, 2025, the console has sold over 155.37 million units, surpassing the Nintendo DS, which sold 154.02 million units [β¦]
The post The Switch becomes Nintendoβs all-time best-selling console appeared first on OC3D.
Duckr provides waterfowl hunters with real-time migration tracking, offline GPS maps, and property boundaries, helping you identify where to hunt. Get weather updates tailored for hunters, including wind, pressure, moon phases, and sunrise/sunset times, along with species identification, audio calls, and tips for every species. Stay compliant with updated season dates and bag limits for all 50 states. Sync across devices, download maps for areas without service, and access community sighting reports to enhance your hunting strategy.

Apple has yet to announce its M5 Pro and M5 Max MacBook Pro models, but that doesnβt mean that the company will delay its redesigned versions sporting OLED upgrades and its first 2nm chipsets for this platform, the M6. According to the latest report, the new portable Macs are expected to arrive in Q4 2026, but the latest information states that the sole supplier of OLED panels, Samsung, has yet to initiate mass production of the core component. Previously, the Korean manufacturer was reported to be ahead of schedule with the display manufacturing, hinting that Apple would face little to [β¦]
Read full article at https://wccftech.com/oled-m6-macbook-pro-launch-in-q4-2026-but-samsung-yet-to-start-mass-production/

Today, Nintendo reported its Q3 financial results, revealing that the Nintendo Switch 2 console has already sold 17.37 million units as of December 31, 2025. As a reminder, the hybrid console debuted in stores on June 5, 2025, and immediately set new sales records. Last quarter, the game developer, publisher, and console manufacturer announced that the Switch 2 had reached 10.36 million units. This means that in the last three months, Nintendo added 7.01 million units. Sure, it was the Holiday quarter, but the figure remains nonetheless impressive. The company's forecast of 19 million units sold by the end of [β¦]
Read full article at https://wccftech.com/nintendo-switch-2-sold-17-million-first-switch-best-selling-console/

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