Quordle hints and answers for Sunday, February 22 (game #1490)
LenoChat is an AI-powered live chat and multichannel inbox built for startups and small teams that need faster replies without paying for enterprise software they don’t need. It brings website chat, WhatsApp, Instagram, and Messenger into one inbox. AI acts as a first-level support agent, answering common questions instantly and handing conversations to a human when needed. If no one is available, it shows an offline form instead of leaving customers stuck in a live queue.
The free plan includes unlimited live chats, AI replies, and core features so founders can run support themselves. Mobile apps are available, and it works on any website.
Sony hasn't officially announced the PlayStation 6 yet, but that hasn't stopped the rumor mill from churning out an increasingly steady stream of leaks, insider reports, and solid hints from the company itself. With the PlayStation 5 well into the latter half of its lifecycle and the PS5 Pro already on shelves, the attention of hardcore gamers is increasingly turning toward whatever comes next. Here is everything we know so far about the PlayStation 6, from its release window and hardware to pricing, design, and the possibility of an entirely new PlayStation handheld launching alongside it. Read this article with […]
Read full article at https://wccftech.com/roundup/playstation-6-everything-we-know-release-date-specs-price-games/

Repaint is an AI website builder that allows anyone to create a professional website by talking to an AI chatbot. It begins with an interview to understand your needs, searches online to gather information about you, finds images, and collects social media links. You can request whatever you want, and it generates a complete website with your content in about two minutes.
From there, you can edit simply by asking. The AI chat is flexible and smart, using information and styles from screenshots, PDFs, and other website links. You can also make small adjustments manually. It's free to start, and $24-30 per month for expanded usage and publishing to a custom domain.
Every kid deserves a bedtime story that stars them and teaches them something that matters. Tuck Me In creates personalized AI bedtime stories featuring your child's name, friends, and interests, with audio narration built in. Choose adventures, mysteries, or learning stories that tackle real lessons like sharing, being brave, and managing big emotions, woven naturally so kids absorb values without feeling lectured. Each story ends with a conversation prompt to turn bedtime into a meaningful ritual. Generate a unique story in seconds and make bedtime the best part of the day.
The latest NUC BOX series has debuted, featuring processors from the current-gen Intel Panther Lake series. ASRock Silently Rolls Out NUC Ultra 300 Box Mini PCs, Featuring Intel Core Ultra 325 and Core Ultra X7 358H As it may seem, it's not a sudden or unexpected launch of the latest ASRock NUC Ultra 300 Box series. ASRock has previously announced the latest NUC Ultra 300 Box series, packed with Intel Core Ultra 300 aka Panther Lake CPUs, last month. However, the latest NUC Box machines have only been added recently on the official website, confirming the SKU selection by the […]
Read full article at https://wccftech.com/asrock-launches-nuc-ultra-300-box-series-with-up-to-16-core-ultra-x7-358h-and-128-gb-memory/

NVIDIA's GB300 NVL72 AI racks have been tested across DeepSeek's latest open source models, and through fine-tuning and optimized inference, the results are indeed promising. NVIDIA's Blackwell Ultra Scores Up to a 1.5x Lead Over GB200 NVL72 In Latency-Sensitive Workloads With GB300, NVIDIA's primary focus has been on delivering optimal long-context performance in order to capitalize on the agentic AI wave. In a recent post, we discussed how Blackwell Ultra delivers a 50x increase in throughput per megawatt compared to Hopper GPUs through its extreme co-design approach. Now, the Large Model Systems Organization (LMSYS) has tested GB300 NVL72 for long-context […]
Read full article at https://wccftech.com/heres-how-nvidia-blackwell-ultra-is-dominating-long-context-deepseek-workloads/

The Euler CMX ITX case is an ultra-compact chassis for Intel processors with up to 35 W of TDP, offering silent operation. Akasa Debuts Compact 4.0 Litre Euler CMX Fanless ITX Chassis, Offering Support for Intel ITX Motherboards Coupled With CPUs rated at up to 35W of TDP Popular consumer and enterprise hardware maker, Akasa, has introduced its latest compact mini ITX chassis called the "Euler CMX" for Intel platforms, offering a small footprint, but sufficient to handle older-gen and the latest Intel Core Ultra series-compatible ITX motherboards. The Euler CMX looks a lot like its other Euler Mini-ITX cases, […]
Read full article at https://wccftech.com/akasa-launches-fanless-euler-cmx-case-for-intel-core-ultra-compatible-mini-itx-motherboards/

One of the fastest gaming handhelds from Lenovo is supposedly getting its driver updates halted. Users will need to rely on Windows updates. Lenovo Korea States Legion Go Won't Get Any More Driver Updates; Recommends Users to Depend on Windows Update and Lenovo Vantage It's not just frustrating but weird to see a nearly two-year-old gaming handheld getting its driver updates halted. The Legion Go handheld, which launched in Q4 2023, just got its driver updates paused by Lenovo, as per the latest report by DCInside. Lenovo Korea released a statement regarding the Legion Go gaming handheld, which confirms that […]
Read full article at https://wccftech.com/lenovo-reportedly-halts-driver-updates-for-two-year-old-lenovo-legion-go-with-amd-z1-extreme/

Well, after entering the discrete GPU market, Moore Threads has also taken its chance in the APU segment, showcasing its high-end SoC for laptops. Moore Threads' New Laptop Chip Offers Impressive Edge AI Performance, Rivaling Current-Gen Lineups Moore Threads have been a popular name in our coverage, and in many of them, they have been known for coming up with rather interesting solutions that turn out to be pretty interesting. Like, one example of this is how the Chinese GPU manufacturer was one of the first to showcase a PCIe 5.0 GPU, which eventually turned out to be slower than […]
Read full article at https://wccftech.com/this-homegrown-chinese-laptop-chip-might-be-the-first-real-alternative-to-amd-and-intel/

All the pieces are in place for Apple to enter the mass production phase of the iPhone Fold and iPhone 18 Pro, with a new rumor providing the month when both flagships will enter the official manufacturing stage. Based on this timeline, the Cupertino giant appears to be gearing up for yet another September keynote, and for the first time, its smartphone lineup will include a member with an entirely unique form factor. Apple is rumored to begin mass production of the iPhone Fold and iPhone 18 Pro in July, highlighting that the company has addressed the crease problems It isn’t […]
Read full article at https://wccftech.com/iphone-fold-and-iphone-18-pro-entering-mass-production-in-july/

Nvidia’s reportedly building a new RTX Blackwell flagship According to a report from Moore’s Law is Dead, Nvidia has been working on a new flagship-level RTX 50 Blackwell GPU since H1 2025. Currently, it is unknown what the GPU will be marketed as, though RTX 5090 Ti or RTX Titan Blackwell branding seems likely. Early specifications […]
The post Nvidia RTX 5090 Ti/ Titan Blackwell GPU specifications leak appeared first on OC3D.
Runner AI is an AI-native e-commerce engine that builds, optimizes, and scales your online store autonomously without templates, coding, or third-party plugins. By simply chatting with the AI, you can generate a bespoke, high-performance store including homepage, product pages, payment, checkout, and backend. Beyond just the initial build, Runner AI acts as a 24/7 growth partner. It analyzes every click and scroll, detects friction, and launches A/B testing on content, layout, and checkout to improve conversion rates. It’s the ultimate build-and-scale solution that lets you focus on your products while the AI handles design, optimization, and growth.

One of Intel's most anticipated desktop CPU lineups, the Nova Lake series, reportedly won't launch this year as the broader consumer industry gets affected by revised product plans. Intel's Nova Lake-S Won't Launch This Year At All; AMD's Zen 6 Desktop CPUs Also Delayed as Well The PC industry is currently facing tough times, not just because of the retail situation, but also because many manufacturers have begun revising their initial product roadmaps, and we have already seen this unfold in the consumer GPU segment. And it looks like the situation has spread to gaming CPUs as well, according to […]
Read full article at https://wccftech.com/even-cpu-arent-safe-from-delayed-launches-anymore-with-intel-nova-lake-pushed-to-2027/

Paystub Studio lets you create accurate, professional paystubs in minutes with automatic tax calculations for all 50 states. Skip sign-up, start for free, and only pay when you download. Enter employer and employee details, pay period, and earnings, and the generator computes deductions like federal, state, Social Security, and Medicare to produce a polished earnings statement.
If Samsung were looking for additional bragging rights just before the unveiling of the Galaxy S26 series, it certainly got those today, when a Galaxy S26 Ultra smoked the Apple iPhone 17 Pro Max in the latest Geekbench 6 tests. Samsung Galaxy S26 Ultra smokes the Apple iPhone 17 Pro Max in single-core and multi-core Geekbench 6 tests Without further ado, here are the latest Geekbench 6 scores for the Samsung Galaxy S26 Ultra: Do note that the Samsung Galaxy S26 Ultra employed in this test was powered by Qualcomm's Snapdragon 8 Elite Gen 5 chip, as is expected to […]
Read full article at https://wccftech.com/samsung-galaxy-s26-ultra-beats-the-apple-iphone-17-pro-max-in-the-latest-geekbench-6-tests/

AlcoInsights helps you track your drinking with live BAC estimates, session logging, and clear analytics so you can stay in control. Set weekly goals, monitor your pace, and review BAC curves and a heatmap calendar to spot patterns. Get AI insights, hangover predictions, calorie tracking, and risk guidelines to plan safer sessions, with hydration modifiers and BAC calibration for accuracy. The Learning Hub teaches the science behind alcohol and habits, and the platform keeps your data secure, private, and GDPR compliant.
The BioShock movie adaptation has been in discussion for a long time. Less than a year after the original game's debut, publisher Take-Two Interactive announced that it had signed a deal with Universal Studios for a film that would have been directed by Gore Verbinski (The Ring, the first three Pirates of the Caribbean, and The Lone Ranger) and written by John Logan (Gladiator, Sweeney Todd: The Demon Barber of Fleet Street, Skyfall, and Spectre). The tentative theatrical release window was 2010, but the project kept being put on hold for various concerns, including budget and the director's insistence on […]
Read full article at https://wccftech.com/bioshock-movie-new-game-releases-will-roughly-coincide/




Best AI for iOS apps. Website that replaces Xcode
All-in-one WhatsApp marketing & automation tool
Free, unlimited AI code reviews that run on commit
AI Voice & Screen Recording Tool for Websites
Your key metrics, as widgets across your Apple devices
A unified workspace to generate and edit AI videos
Turn any photo or thought into a custom song inside Gemini
Connect to your Mac terminal from iPhone
NavNotes keeps project knowledge connected to your website rather than scattered across tools. Pin requirements, decisions, technical notes, and feedback directly to pages, allowing relevant context to automatically appear as you navigate.
It works on any website you manage, including client sites, internal tools, and staging environments. You can highlight sections, attach documents, link external resources, and collaborate with your team—all contextual to specific pages and features. Track work with built-in status, owners, and releases, and share access with clients or teammates. It's your website's institutional memory, finally in one place.
DietVox is an AI gut health coach that helps you eat without flare-ups. Snap a photo of your meal to detect hidden acids, spices, and irritants, then get a personalized Red/Amber/Green safety rating based on your stomach rules.
Follow diet protocols for GERD, sugar reduction, weight loss, and receive proactive daily coaching to achieve you goals.
PractoPal delivers an all-in-one platform for optical retailers to run daily operations with less effort. You can manage inventory, purchase orders, patient records, prescriptions, sales, invoicing, and marketing from a clean, secure interface that works across devices, including iPads. PractoPal provides regular feature updates and responsive live support via phone, chat, or screen sharing, helping clinics and stores streamline workflows and elevate customer experience.
FaveCard lets businesses create digital loyalty cards that customers can add to Apple or Google Wallet with a single tap. There’s no app for customers to install, and cards update automatically after each visit. Use the card creator to brand stamps and rewards, share via QR code or link, and track performance in a real-time dashboard. Staff can use the FaveCard app to scan cards and award stamps while you monitor returns, visit history, and peak days to drive repeat business.
SuppleMindHQ is an AI-powered supplement command center that builds your optimal dosing schedule, times reminders to your routine, and adjusts when you miss a dose. It tracks intake and inventory, predicts when you'll run low, and allows for one-click or auto reordering from your preferred brands. The app checks interaction safety, spaces conflicting supplements, and provides clear analytics on consistency and progress. Start free, then upgrade for deeper history, templates, and cross-device sync.

PropertyLedger helps small landlords manage rental property accounting with simple expense tracking, organized categories, and tax-ready Schedule E reports. You can log income and expenses, attach receipts, track depreciation, and export CSVs to streamline tax prep. Organize your portfolio across single-family, multi-family, condos, and commercial units. Manage tenants and leases, monitor ROI analytics, and get monthly summaries and renewal reminders without banking add-ons or upsells.
Satya NadellaLast year, Phil Spencer made the decision to retire from the company, and since then we've been talking about succession planning. I want to thank Phil for his extraordinary leadership and partnership. Over 38 years at Microsoft, including 12 years leading Gaming, Phil helped transform what we do and how we do it.
Last month, a UK judge ruled that Valve would have to face its day in court over a £656 million class-action lawsuit being led by Parent Zone chief executive officer, Vicki Shotbolt, over the 30% cut that the company takes from all transactions on Steam. It's not a dissimilar case to what Epic Games brought against Apple, as Shotbolt has called Valve's 30% cut "excessive" and that the company "is rigging the market and taking advantage of UK gamers." In a new report from GamesIndustry.Biz, Shotbolt further explained her case against Valve and Steam, adding that Valve is "clearly not" […]
Read full article at https://wccftech.com/valve-is-clearly-not-cooperating-fairly-says-ceo-leading-656m-lawsuit-against-steams-30-cut-of-game-sales/

Update 21/02/2026: Following the publication of this article, former Xbox president Sarah Bond has shared her statement she sent internally within Xbox and Microsoft on her personal LinkedIn account. Notably, she mentions that her decision to step away comes at a time when she feels she has completed the commitment she made four years ago to help lead Xbox through the post-Activision Blizzard acquisition transition. "When we announced our intention to acquire Activision Blizzard in 2022, I committed to helping lead Xbox through what would be a critical period of change," Bond writes. "Over the past four years, we’ve navigated […]
Read full article at https://wccftech.com/microsoft-phil-spencer-retires-sarah-bond-resigns-asha-sharma-takes-over-xbox/

The Snapdragon X series of chipsets has carved its place in the computer industry, but Qualcomm has a ton of ground to cover in both adoption and technological improvements. The recent Snapdragon X2 Elite and Snapdragon X2 Elite Extreme are ideal examples of the San Diego firm’s desire to take on its chip rivals, but it needs that extra boost that could be fulfilled by the recent hiring of former AMD executive Jason Banta. He will now serve as Qualcomm’s Vice President of Global Compute Sales, putting him in charge of consumer and commercial ‘go to market’ channels. Banta’s 23-year career […]
Read full article at https://wccftech.com/qualcomm-snapdragon-x-chipsets-to-receive-major-push-with-hiring-or-ex-amd-executive-jason-banta/

It's been nearly nine years since the launch of NieR: Automata, the highly acclaimed action RPG developed by PlatinumGames and published by Square Enix. Fans have long been waiting for news of a sequel. Today, as part of a celebration for the game's latest sales milestone (it has now sold 10 million units across all platforms), they at least got a teaser. It sounds like the gears are finally moving. But why did it take so long? Well, it seems like Game Director Yoko Taro and Square Enix found it hard to reach an agreement. The outspoken creative first said […]
Read full article at https://wccftech.com/nier-automata-continue-game-breaks-10m-units-sold/

Snapveil lets you create private, shareable photo galleries for weddings and events. Guests upload by scanning a QR code—no app required—while you control permissions, set passwords, and manage collaboration. It organizes images with AI tags and location data, supports custom albums, and delivers fast browsing even with thousands of photos. Pay per event with flexible storage and download options, from SD to original quality.
Microsoft found 31 companies hiding prompt injections inside "Summarize with AI" buttons aimed at biasing what AI assistants recommend in future conversations.
The post Microsoft: ‘Summarize With AI’ Buttons Used To Poison AI Recommendations appeared first on Search Engine Journal.
Well, it appears that the chip startup Taalas has found a solution to LLM response latency and performance by creating dedicated hardware that 'hardwires' AI models. Taalas Manages to Achieve 10x Higher TPS With Meta's Llama 8B LLM, That Too With 20x Lower Production Costs When you look at today's world of AI compute, latency is emerging as a massive constraint for modern-day compute providers, mainly because, in an agentic environment, the primary moat lies in token-per-second (TPS) figures and how quickly you can get a task done. One solution the industry sees is integrating SRAM into their offerings, and […]
Read full article at https://wccftech.com/this-new-ai-chipmaker-taalas-hard-wires-ai-models-into-silicon-to-make-them-faster/

God of Startups is an AI-powered venture architect that turns raw ideas into professional, investor-ready business documentation. The platform guides founders through structured Discovery workflows covering problem validation, customer analysis, market research, competitors, risks, and strategy. Unlike generic AI tools or expensive consultants, it continuously aligns hypotheses and key decisions in one dynamic system of record. God of Startups supports validation by prompting critical questions, identifying risks, and updating strategy as insights emerge. The result is faster, more consistent decision-making that turns uncertainty into validated, actionable business plans.
Google Ads PMax placement reporting is now populating with data for more accounts, revealing Search Partner domains and impression counts for brand safety review.
The post Google Ads Surfaces PMax Search Partner Domains In Placement Report appeared first on Search Engine Journal.
Thermal Grizzly is now selling delidded versions of AMD’s most powerful gaming processor Thermal Grizzly has officially released delidded versions of AMD’s new Ryzen 7 9850X3D gaming CPU, offering users pre-delidded CPUs that have been thoroughly tested and backed by a 2-year warranty. These processors ship with their IHS (Integrated Heat Spreader) removed, allowing users […]
The post Thermal Grizzly sells delidded AMD Ryzen 7 9850X3D CPUs with a warranty appeared first on OC3D.

Circana executive director Mat Piscatella has shared his first monthly sales report of 2026 for video game sales in the US, and it's Call of Duty: Black Ops 7 taking the top spot on the premium sales charts for January 2026. Overall spending in the video game industry in the US was up 3% compared to last year, with subscription services and hardware sales driving that growth. It's Call of Duty: Black Ops 7's second month in a row sitting atop the US premium game sales charts, though finishing 2025 as the best-selling game of December was not enough to […]
Read full article at https://wccftech.com/call-of-duty-black-ops-7-best-selling-game-in-us-january-2026/

Apple is expected to treat its low-cost MacBook with the same importance as its more expensive portable Macs, as the technology giant has been reported to utilize the same unibody aluminum chassis paired with some bright colors, so the machine stands out from the competition. However, the Cupertino firm had an entirely different plan for when it launched the M2 MacBook Air, as the latter was supposed to be treated to the aforementioned finishes, at least according to the latest rumor. Apple’s invite image suggests that the low-cost MacBook will arrive in the colors blue, green, and blue, with these finishes expected to debut […]
Read full article at https://wccftech.com/low-cost-macbook-vibrant-colors-supposed-to-debut-with-m2-macbook-air/

Ubisoft chief executive officer Yves Guillemot has finally spoken outside of the company's financial earnings reports after kicking off 2026 by confirming a "major reset" that involved huge structural changes to Ubisoft and saw hundreds of developers get laid off, either through cuts at different branches or just full studio shutdowns. In an interview with Variety, Guillemot didn't offer any meaningful comments in response to questions about the strikes across different studios within the company or provide any further comment as to why projects like Prince of Persia: Sands of Time Remake were cancelled that we hadn't heard before. But […]
Read full article at https://wccftech.com/ubisoft-ceo-confirms-two-far-cry-projects-several-assassins-creed-games-single-player-and-multiplayer/

Details about NVIDIA's financing scheme towards OpenAI are here, and it is claimed that the company intends to invest 'one-third' of the initial figure everyone perceived. NVIDIA Plans To Make Its Largest-Ever Investment Into OpenAI Soon, Investing $100 Billion Into the AI Lab Team Green's investments and stake acquisitions are attracting significant attention in the industry, as they are an indirect indicator of where the world of AI is moving. We have extensively reported the NVIDIA-OpenAI story, but one of the more interesting aspects of this fiasco is actually the financial commitments involved. For those unaware, NVIDIA and OpenAI agreed […]
Read full article at https://wccftech.com/nvidia-investment-in-openai-is-anticipated-to-be-more-than-three-folds-lower-than-what-was-initially-perceived/

Looking to take the next step in your search marketing career?
Below, you will find the latest SEO, PPC, and digital marketing jobs at brands and agencies. We also include positions from previous weeks that are still open.
(Provided to Search Engine Land by SEOjobs.com)
(Provided to Search Engine Land by PPCjobs.com)
Meta Ads Manager, Cardone Ventures (Scottsdale, AZ)
Senior Manager of Marketing (Paid, SEO, Affiliate), What Goes Around Comes Around (Jersey City, NJ)
Search Engine Optimization Manager, Method Recruiting, a 3x Inc. 5000 company (Remote)
Senior Manager, SEO, Kennison & Associates (Hybrid, Boston MA)
Backlink Manager (SEO Agency), SEOforEcommerce (Remote)
PPC Specialist, BrixxMedia (Remote)
Performance Marketing Manager, Mailgun, Sinch (Remote)
SEO and AI Search Optimization Manager, Big Think Capital (New York)
Senior Copywriter, Viking (Hybrid, Los Angeles Metropolitan Area)
Paid Search Marketing Manager, LawnStarter (Remote)
Senior Manager, SEO, Turo (Hybrid, San Francisco, CA)
Search Engine Op imization Manager, NoGood (Remote)
Note: We update this post weekly. So make sure to bookmark this page and check back.
Google Merchant Center is investigating an issue affecting Feeds, according to its public status dashboard.
The details:
The alert appears on the official Merchant Center Status Dashboard, which tracks availability across Merchant Center services.
Why we care. Feeds power product listings across Shopping ads and free listings. Any disruption can impact product approvals, updates, or visibility in campaigns tied to retail inventory.
What to watch. Google has not yet shared scope, root cause, or estimated time to resolution. Advertisers experiencing feed processing delays or disapprovals may want to monitor the dashboard closely.
Bottom line. When feeds stall, ecommerce performance can follow. Retail advertisers should keep an eye on diagnostics and campaign delivery until more details emerge.
Dig Deeper. Merchant Center Status Dashboard
PPC is evolving beyond traditional search. Those who adopt new ad formats, smarter creative strategies, and the right use of AI will gain a competitive edge.
Ginny Marvin, Google’s Ads Product Liaison, and Navah Hopkins, Microsoft’s Product Liaison, joined me for a conversation about what’s next for PPC. Here’s a recap of this special keynote from SMX Next.
When discussing what lies beyond search, both speakers expressed excitement about AI-driven ad formats.
Hopkins highlighted Microsoft’s innovation in AI-first formats, especially showroom ads:
She also pointed to gaming as a major emerging ad channel. As a gamer, she noted that many users “justifiably hate the ads that serve on gaming surfaces,” but suggested more immersive, intelligent formats are coming.
Marvin agreed that the landscape is shifting, driven by conversational AI and visual discovery tools. These changes “are redefining intent” and making conversion journeys “far more dynamic” than the traditional keyword-to-click model.
Both stressed that PPC marketers must prepare for a landscape where traditional search is only one of many ad surfaces.
A major theme throughout the discussion was the growing importance of visual content. Hopkins summed up the shift by saying:
She urged performance marketers to rethink the assumption that visuals belong only at the top of the funnel or in remarketing.
Marvin added that leading with brand-forward visuals is becoming essential, as creatives now play “a much more important role in how you tell your stories, how you drive discovery, and how you drive action.” Marketers who understand their brand’s positioning and reflect it consistently in their creative libraries will thrive across emerging channels.
Both noted that AI-driven ad platforms increasingly rely on strong creative libraries to assemble the right message at the right moment.
The conversation also addressed misconceptions about AI-generated creative.
Hopkins cautioned against overrelying on AI to build entire creative libraries, emphasizing:
Instead, she said marketers should focus on how AI can amplify their work. Campaigns must perform even when only a single asset appears, such as a headline or image. Creatives need to “stand alone” and clearly communicate the brand.
Marvin reinforced the need for a broader range of visual assets than most advertisers maintain. “You probably need more assets than you currently have,” she noted, especially as cross-channel campaigns like Demand Gen depend on testing multiple combinations.
Both positioned AI as an enabler, not a replacement, stressing that human creativity drives differentiation.
Both liaisons emphasized the need for a diverse, adaptable asset library that works across formats and surfaces.
Marvin explained that AI systems now evaluate creative performance individually:
Hopkins added that distinct creative assets reduce what she called “AI chaos moments,” when the system struggles because assets overlap too closely. Distinctiveness—visual and textual—helps systems identify which combinations perform best.
Both urged marketers to rethink creative planning, treating assets as both brand-building and performance-driving rather than separating the two.
The conversation concluded with a deep dive into what it means to measure performance in an AI-first world.
Hopkins listed the key strategic inputs AI relies on:
She also highlighted that incrementality — understanding the true added value of ads — is becoming more important than ever.
Marvin acknowledged the challenges marketers face in letting go of old control patterns, especially as measurement shifts from granular data to privacy-protective models. However, she stressed that modern analytics still provide meaningful signals, just in a different form:
Both encouraged marketers to think more strategically and holistically in their analysis rather than getting stuck in granular metrics.

We all use LLMs daily. Most of us use them at work. Many of us use them heavily.
People in tech — yes, you — use LLMs at twice the rate of the general population. Many of us spend more than a full day each week using them — yes, me.

Even those of us who rely on LLMs regularly get frustrated when they don’t respond the way we want.
Here’s how to communicate with LLMs when you’re vibe coding. The same lessons apply if you find yourself in drawn-out “conversations” with an LLM UI like ChatGPT while trying to get real work done.
Vibe coding is building software with AI assistants. You describe what you want, the model generates the code, and you decide whether it matches your intent.
That’s the idea. In practice, it’s often messier.
The first thing you’ll need to decide is which code editor to work in. This is where you’ll communicate with the LLM, generate code, view it, and run it.
I’m a big fan of Cursor and highly recommend it. I started on the free Hobby plan, and that’s more than enough for what we’re doing here.
Fair warning – it took me about two months to move up two tiers and start paying for the Pro+ account. As I mentioned above, I’m firmly in the “over a day a week of LLM use” camp, and I’d welcome the company.
A few options are:
In my screenshots, I’ll be using Cursor, but the principles apply to any of them. They even apply when you’re simply communicating with LLMs in depth.
The SEO toolkit you know, plus the AI visibility data you need.
You might wonder why you need a tutorial at all. You tell the LLM what you want, and it builds it, right? That may work for a meta description or a superhero SEO image of yourself, but it won’t cut it for anything moderately complex — let alone a tool or agentic system spanning multiple files.
One key concept to understand is the context window. That’s the amount of content an LLM can hold in memory. It’s typically split across input and output tokens.
GPT-5.2 offers a 400,000-token context window, and Gemini 3 Pro comes in at 1 million. That’s roughly 50,000 lines of code or 1,500 pages of text.
The challenge isn’t just hitting the limit, especially with large codebases. It’s that the more content you stuff into the window, the worse models get at retrieving what’s inside it.
Attention mechanisms tend to favor the beginning and end of the window, not the middle. In general, the less cluttered the window, the better the model can focus on what matters.
If you want a deeper dive into context windows, Matt Pocock has a great YouTube video that explains it clearly. For now, it’s enough to understand placement and the cost of being verbose.
A few other tips:
Dig deeper: How vibe coding is changing search marketing workflows
How do you create content that appears prominently in an AI Overview? Answer the questions the overview answers.
In this tutorial, we’ll build a tool that extracts questions from AI Overviews and stores them for later use. While I hope you find this use case valuable, the real goal is to walk through the stages of properly vibe coding a system. This isn’t a shortcut to winning an AI Overview spot, though it may help.
Before you open Cursor — or your tool of choice — get clear on what you want to accomplish and what resources you’ll need. Think through your approach and what it’ll take to execute.
While I noted not to launch Cursor yet, this is a fine time to use a traditional search engine or a generative AI.
I tend to start with a simple sentence or two in Gemini or ChatGPT describing what I’m trying to accomplish, along with a list of the steps I think the system might need to go through. It’s OK to be wrong here. We’re not building anything yet.
For example, in this case, I might write:
I’m an SEO, and I want to use the current AI Overviews displayed by Google to inspire the content our authors will write. The goal is to extract the implied questions answered in the AI Overview. Steps might include:
1 – Select a query you want to rank for.
2 – Conduct a search and extract the AI Overview.
3 – Use an LLM to extract the implied questions answered in the AI Overview.
4 – Write the questions to a saveable location.
With this in hand, you can head to your LLM of choice. I prefer Gemini for UI chats, but any modern model with solid reasoning capabilities should work.
Start a new chat. Let the system know you’ll be building a project in Cursor and want to brainstorm ideas. Then paste in the planning prompt.

The system will immediately provide feedback, but not all of it will be good or in scope. For example, one response suggested tracking the AI Overview over time and running it in its own UI. That’s beyond what we’re doing here, though it may be worth noting.
It’s also worth noting that models don’t always suggest the simplest path. In one case, it proposed a complex method for extracting AI Overviews that would likely trigger Google’s bot detection. This is where we go back to the list we created above.
Step 1 will be easy. We just need a field to enter keywords.
Step 2 could use some refinement. What’s the most straightforward and reliable way to capture the content in an AI Overview? Let’s ask Gemini.

I’m already familiar with these services and frequently use SerpAPI, so I’ll choose that one for this project. The first time I did this, I reviewed options, compared pricing, and asked a few peers. Making the wrong choice early can be costly.
Step 3 also needs a closer look. Which LLMs are best for question extraction?

That said, I don’t trust an LLM blindly, and for good reason. In one response, Claude 4.6 Opus, which had recently been released, wasn’t even considered.
After a couple of back-and-forth prompts, I told Gemini:
We then came around to:

For this project, we’re going with GPT-5.2, since you likely have API access or, at the very least, an OpenAI account, which makes setup easy. Call it a hunch. I won’t add an LLM judge in this tutorial, but in the real world, I strongly recommend it.
Now that we’ve done the back-and-forth, we have more clarity on what we need. Let’s refine the outline:
I’m an SEO, and I want to use the current AI Overviews displayed by Google to inspire the content our authors will write. The idea is to extract the implied questions answered in the AI Overview. Steps might include:
1 – Select a query you want to rank for.
2 – Conduct a search and extract the AI Overview using SerpAPI.
3 – Use GPT-5.2 Thinking to extract the implied questions answered in the AI Overview.
4 – Write the query, AI Overview, and questions to W&B Weave.
Before we move on, make sure you have access to the three services you’ll need for this:
Now let’s move on to Cursor. I’ll assume you have it installed and a project set up. It’s quick, easy, and free.
The screenshots that follow reflect my preferred layout in Editor Mode.

If you haven’t used Cursor before, you’re in for a treat. One of its strengths is access to a range of models. You can choose the one that fits your needs or pick the “best” option based on leaderboards.
I tend to gravitate toward Gemini 3 Pro and Claude 4.6 Opus.

If you don’t have access to all of them, you can select the non-thinking models for this project. We also want to start in Plan mode.

Let’s begin with the project prompt we defined above.

Note: You may be asked whether you want to allow Cursor to run queries on your behalf. You’ll want to allow that.

Now it’s time to go back and forth to refine the plan that the model developed from our initial prompt. Because this is a fairly straightforward task, you might think we could jump straight into building it, which would be bad for the tutorial and in practice. If you thought that, you’d be wrong. Humans like me don’t always communicate clearly or fully convey our intent. This planning stage is where we clarify that.
When I enter the instructions into the Cursor chat in Planning mode, using Sonnet 4.5, it kicks off a discussion. One of the great things about this stage is that the model often surfaces angles I hadn’t considered at the outset. Below are my replies, where I answer each question with the applicable letter. You can add context after the letter if needed.

An example of the model suggesting angles I hadn’t considered appears in question 4 above. It may be helpful to pass along the context snippets. I opted for B in this case. There are obvious cases for C, but for speed and token efficiency, I retrieve as little as possible. Intent and related considerations are outside the scope of this article and would add complexity, as they’d require a judge.
The system will output a plan. Read it carefully, as you’ll almost certainly catch issues in how it interpreted your instructions. Here’s one example.

I’m told there is no GPT-5.2 Thinking. There is, and it’s noted in the announcement. I have the system double-check a few details I want to confirm, but otherwise, the plan looks good. Claude also noted the format the system will output to the screen, which is a nice touch and something I hadn’t specified. That’s what partners are for.

Finally, I always ask the model to think through edge cases where the system might fail. I did, and it returned a list. From that list, I selected the cases I wanted addressed. Others, like what to do if an AI Overview exceeds the context window, are so unlikely that I didn’t bother.
A few final tweaks addressed those items, along with one I added myself: what happens if there is no AI Overview?

I have to give credit to Tarun Jain, whom I mentioned above, for this next step. I used to copy the outline manually, but he suggested simply asking the model to generate a file with the plan. So let’s direct it to create a markdown file, plan.md, with the following instruction:
Build a plan.md including the reviewed plan and plan of action for the implementation.
Remember the context window issue I discussed above? If you start building from your current state in Cursor, the initial directives may end up in the middle of the window, where they’re least accessible, since your project brainstorming occupies the beginning.
To get around this, once the file is complete, review it and make sure it accurately reflects what you’ve brainstormed.
Now we get to build. Start a new chat by clicking the + in the top right corner. This opens a new context window.
This time, we’ll work in Agent mode, and I’m going with Gemini 3 Pro.

Arguably, Claude 4.6 Opus might be a technically better choice, but I find I get more accurate responses from Gemini based on how I communicate. I work with far smarter developers who prefer Claude and GPT. I’m not sure whether I naturally communicate in a way that works better with Gemini or if Google has trained me over the years.
First, tell the system to load the plan. It immediately begins building the system, and as you’ll see, you may need to approve certain steps, so don’t step away just yet.

Once it’s done, there are only a couple of steps left, hopefully. Thankfully, it tells you what they are.

First, install the required libraries. These include the packages needed to run SerpAPI, GPT, Weights & Biases, and others. The system has created a requirements.txt file, so you can install everything in one line.
Note: It’s best to create a virtual environment. Think of this as a container for the project, so downloaded dependencies don’t mix with those from other projects. This only matters if you plan to run multiple projects, but it’s simple to set up, so it’s worth doing.
Open a terminal:

Then enter the following lines, one at a time:
python3 -m venv .venvsource .venv/bin/activatepip install -r requirements.txtYou’re creating the environment, activating it, and installing the dependencies inside it. Keep the second command handy, since you’ll need it any time you reopen Cursor and want to run this project.
You’ll know you’re in the correct environment when you see (.venv) at the beginning of the terminal prompt.

When you run the requirements.txt installation, you’ll see the packages load.

Next, rename the .env.example file to .env and fill in the variables.
The system can’t create a .env file, and it won’t be included in GitHub uploads if you go that route, which I did and linked above. It’s a hidden file used to store your API keys and related credentials, meaning information you don’t want publicly exposed. By default, mine looks like this.

I’ll fill in my API keys, sorry, can’t show that screen, and then all that’s left is to run the script.
To do that, enter this in the terminal:
python main.py "your search query"
If you forget the command, you can always ask Cursor.
I’m building this as we go, so I can show you how to handle hiccups. When I ran it, I hit a critical one.

It’s not finding an AI Overview, even though the phrase I entered clearly generates one.

Thankfully, I have a wide-open context window, so I can paste:
Fortunately, it’s easy to add terminal output to the chat. Select everything from your command through the full error message, then click “Add to Chat.”

It’s important not to rely solely on LLMs to find the information you need. A quick search took me to the AI Overview documentation from SerpAPI, which I included in my follow-up instructions to the model.
My troubleshooting comment looks like this.

Notice I tell Cursor not to make changes until I give the go-ahead. We don’t want to fill up the context window or train the model to assume its job is to make mistakes and try fixes in a loop. We reduce that risk by reviewing the approach before editing files.
Glad I did. I had a hunch it wasn’t retrieving the code blocks properly, so I added one to the chat for additional review. Keep in mind that LLMs and bots may not see everything you see in a browser. If something is important, paste it in as an example.
Now it’s time to try again.

Excellent, it’s working as we hoped.
Now we have a list of all the implied questions, along with the result chunks that answer them.
Dig deeper: Inspiring examples of responsible and realistic vibe coding for SEO
It’s a bit messy to rely solely on terminal output, and it isn’t saved once you close the session. That’s what I’m using Weave to address.
Weave is, among other things, a tool for logging prompt inputs and outputs. It gives us a permanent place to review our queries and extracted questions. At the bottom of the terminal output, you’ll find a link to Weave.

There are two traces to watch. The first is what this was all about: the analyze_query trace.

In the inputs, you can see the query and model used. In the outputs, you’ll find the full AI Overview, along with all the extracted questions and the content each question came from. You can view the full trace here, if you’re interested.
Now, when we’re writing an article and want to make sure we’re answering the questions implied by the AI Overview, we have something concrete to reference.
The second trace logs the prompt sent to GPT-5.2 and the response.

This is an important part of the ongoing process. Here you can easily review the exact prompt sent to GPT-5.2 without digging through the code. If you start noticing issues in the extracted questions, you can trace the problem back to the prompt and get back to vibing with your new friend, Cursor.
Track, optimize, and win in Google and AI search from one platform.
I’ve been vibe coding for a couple of years, and my approach has evolved. It gets more involved when I’m building multi-agent systems, but the fundamentals above are always in place.
It may feel faster to drop a line or two into Cursor or ChatGPT. Try that a few times, and you’ll see the choice: give up on vibe coding — or learn to do it with structure.
Keep the vibes good, my friends.

HeyOz helps brands create ads and social content in minutes. Paste a product URL and it pulls images and details, then generates carousels, static ads, UGC videos, product demos, and more from viral-ready templates. Customize voices, avatars, and scenes with a built‑in editor, then schedule and auto‑post to YouTube, TikTok, and Instagram. Use AI ad intelligence to spin up high‑performing variations, manage multiple products with workspaces, and keep everything on-brand with reusable assets.

As if the low-cost MacBook, the M5 Pro and M5 Max MacBooks, and the iPhone 17e were not enough, we've just received an inkling that Apple might launch two new Studio Displays in the coming weeks, and possibly right around the time it holds its March event. Now you can add two new Apple Studio Displays to the Cupertino giant's growing roster of imminent product launches Bloomberg's Mark Gurman expects Apple to launch the much-anticipated low-cost MacBook, along with a host of new MacBook Pro and MacBook Air, as well as the new Apple Studio Displays "over the course of […]
Read full article at https://wccftech.com/apples-product-launch-tally-for-the-coming-weeks-keeps-growing/

Season 2 for Battlefield 6 finally arrived earlier this week after an unexpected one-month delay. While we can hopefully trust the Battlefield Studios teams when they say the length between Season 1 and Season 2 was an isolated case, the new content in Season 2 hasn't exactly set the game's community on fire, and players still have several issues with the new content. Outside of complaints about the new VL-7 gas (which a scroll through the r/Battlefield page will show you players are either very positive on or very against), one thing that Battlefield 6 players agree on is that […]
Read full article at https://wccftech.com/ea-dice-heard-the-message-players-want-larger-maps-battlefield-6/

On episode 352 of PPC Live The Podcast, I spoke to Emina Demiri Watson, Head of Digital at Brighton-based Vixen Digital, where she to shared one of the most candid stories in agency life: deliberately firing a client that accounted for roughly 70% of their revenue — and what they learned the hard way in the process.
The client relationship had been deteriorating for around three months before the leadership team made their move. The decision wasn’t about the client being difficult from day one — it was a relationship that had slowly soured over time. By the end, the toxic dynamic was affecting the entire team, and leadership decided culture had to come first.
Here’s where it got painful. When Vixen sat down to run the numbers, they realized they had a serious customer concentration problem — one client holding a disproportionately large share of total revenue. It’s the kind of thing that gets lost when you’re busy and don’t have sophisticated financial systems. A quick Excel formula later, and the reality hit harder than expected.
Emina outlined the signals that a client relationship is shifting — beyond the obvious drop in campaign performance. External factors inside the client’s business matter too: company restructuring, team changes, even a security breach that prevents leads from converting downstream. The lesson? Don’t just watch your Google Ads dashboard — understand what’s happening on the client’s side of the fence.
Recovery came down to three things: tracking client concentration properly going forward, returning to their company values as a decision-making compass, and accepting that rebuilding revenue simply takes time. Losing the client freed up the mental bandwidth to pitch new business and re-engage with the industry community — things that had quietly fallen by the wayside.
When asked about errors she sees in audited accounts, Emina didn’t hold back. Broad match without proper audience guardrails remains a persistent problem, as does the absence of negative keyword lists entirely. Over-narrow targeting is another — particularly for clients chasing high-net-worth audiences, where the data pool becomes too thin for Smart Bidding to function.
Emina’s take on AI is pragmatic: the biggest mistake is believing the hype. PPC practitioners are actually better positioned than most to navigate AI skeptically, given they’ve been working with automation and black-box systems for years. Her preferred approach — and the one she quietly enforces with junior team members via a robot emoji — is to treat Claude and other LLMs as a first stop for research, not a replacement for critical thinking.
If you’re sitting on a deteriorating client relationship and nervous about pulling the trigger, Emina’s advice is simple: go back to your values. If commercial survival sits at the top of the list, keep the client. If culture and team wellbeing matter more, it might be time.
Automation has long been part of the discipline, helping teams structure data, streamline reporting, and reduce repetitive work. Now, AI agent platforms combine workflow orchestration with large language models to execute multi-step tasks across systems.
Among them, n8n stands out for its flexibility and control. Here’s how it works – and where it fits in modern SEO operations.
If you think of modern AI agent platforms as an AI-powered Zapier, you’re not far off. The difference is that tools like n8n don’t just pass data between steps. They interpret it, transform it, and determine what happens next.
Getting started with n8n means choosing between cloud-hosted and self-hosted deployment. You can have n8n host your environment, but there are drawbacks:
There are advantages, too:
There are also multiple license packages available. If you run n8n self-hosted, you can use it for free. However, that can be challenging for larger teams, as version control and change attribution are limited in the free tier.
Regardless of the package you choose, using AI models and LLMs isn’t free. You’ll need to set up API credentials with providers such as Google, OpenAI, and Anthropic.
Once n8n is installed, the interface presents a simple canvas for designing processes, similar to Zapier.

You can add nodes and pull in data from external sources. Webhook nodes can trigger workflows, whether on a schedule, through a contact form, or via another system.
Executed workflows can then deliver outputs to destinations such as Gmail, Microsoft Teams, or HTTP request nodes, which can trigger other n8n workflows or communicate with external APIs.
In the example above, a simple workflow scrapes RSS feeds from several search news publishers and generates a summary. It doesn’t produce a full news article or blog post, but it significantly reduces the time needed to recap key updates.
Dig deeper: Are we ready for the agentic web?
Below, you can see the interior of a webhook trigger node. This node generates a webhook URL. When Microsoft Teams calls that URL through a configured “Outgoing webhook” app, the workflow in n8n is triggered.
Users can request a search news update directly within a specific Teams channel, and n8n handles the rest, including the response.

Once you begin building AI agent nodes, which can communicate with LLMs from OpenAI, Google, Anthropic, and others, the platform’s capabilities become clearer.

In the image above, the left side shows the prompt creation view. You can dynamically pass variables from previously executed nodes. On the right, you’ll see the prompt output for the current execution, which is then sent to the selected LLM.
In this case, data from the scraping node, including content from multiple RSS feeds, is passed into the prompt to generate a summary of recent search news. The prompt is structured using Markdown formatting to make it easier for the LLM to interpret.
Returning to the main AI agent node view, you’ll see that two prompts are supported.

The user prompt defines the role and handles dynamic data mapping by inserting and labeling variables so the AI understands what it’s processing. The system prompt provides more detailed, structured instructions, including output requirements and formatting examples. Both prompts are extensive and formatted in markdown.
On the right side of the interface, you can view sample output. Data moves between n8n nodes as JSON. In this example, the view has been switched to “Schema” mode to make it easier to read and debug. The raw JSON output is available in the “JSON” tab.
This project required two AI agent nodes.

The short news summary needed to be converted to HTML so it could be delivered via email and Microsoft Teams, both of which support HTML.
The first node handled summarizing the news. However, when the prompt became large enough to generate the summary and perform the HTML conversion in a single step, performance began to degrade, likely due to LLM memory constraints.
To address this, a second AI agent node converts the parsed JSON summary into HTML for delivery. In practice, a dual AI agent node structure often works well for smaller, focused tasks.
Finally, the news summary is delivered via Teams and Gmail. Let’s look inside the Gmail node:

The Gmail node constructs the email using the HTML output generated by the second AI agent node. Once executed, the email is sent automatically.

The example shown is based on a news summary generated in November 2025.
Dig deeper: The AI gold rush is over: Why AI’s next era belongs to orchestrators
In this article, we’ve outlined a relatively simple project. However, n8n has far broader SEO and digital applications, including:
The possibilities are extensive. As one colleague put it, “If I can think it, I can build it.” That may be slightly hyperbolic.
Like any platform, n8n has limitations. Still, n8n and competing tools such as MindStudio and Make are reshaping how some teams approach automation and workflow design.
How long that shift will last is unclear.
Some practitioners are exploring locally hosted tools such as Claude Code, Cursor, and others. Some are building their own AI “brains” that communicate with external LLMs directly from their laptops. Even so, platforms like n8n are likely to retain a place in the market, particularly for those who are moderately technical.
There are several limitations to consider:
It’s often best to start by identifying tasks your team finds repetitive or frustrating and position automation as a way to reduce that friction. Build around simple functions or design more complex systems that rely on constrained data inputs.
AI agents and platforms like n8n aren’t a replacement for human expertise. They provide leverage. They reduce repetition, accelerate routine analysis, and give SEOs more time to focus on strategy and decision-making. This follows a familiar pattern in SEO, where automation shifts value rather than eliminating the discipline.
The biggest gains typically come from small, practical workflows rather than sweeping transformations. Simple automations that summarize data, structure outputs, or connect systems can deliver meaningful efficiency without adding unnecessary complexity. With proper human context and oversight, these tools become more reliable and more useful.
Looking ahead, the tools will evolve, but the direction is clear. SEO is increasingly intertwined with automation, engineering, and data orchestration. Learning how to build and collaborate with these systems is likely to become a core competency for SEOs in the years ahead.
Dig deeper: The future of SEO teams is human-led and agent-powered
Google is updating how it attributes conversions in app campaigns, shifting from the date of the ad click to the date of the actual install.
What’s changing. Previously, conversions were logged against the original ad interaction date. Now, they’re assigned to the day the app was actually installed — bringing Google’s methodology closer in line with how Mobile Measurement Partners (MMPs) like AppsFlyer and Adjust report data.
Why this helps:

Why we care. The change sounds technical, but its impact is significant. Attribution timing directly affects how Google’s machine learning optimizes campaigns — and a 30-day lag between ad click and conversion credit has long been a silent drag on performance. This change means Google’s machine learning will finally receive conversion signals at the right time — tied to when a user actually installed the app, not when they clicked an ad weeks earlier.
That shift should lead to smarter bidding decisions, faster campaign optimization, and fewer frustrating discrepancies between Google Ads and MMP reporting. If you’ve ever wondered why your Google numbers don’t match AppsFlyer or Adjust, this update is a direct response to that problem.
Between the lines. Most advertisers never touch their attribution window settings, leaving Google’s 30-day default in place. That default has quietly been working against them — delaying the conversion signals that machine learning depends on to make better bidding decisions.
The bottom line. A small change in attribution logic could have an outsized impact on app campaign performance. Mobile advertisers should monitor their data closely in the coming weeks for shifts in reported conversions and optimization behavior.
First spotted. This update was first spotted by David Vargas who shared receiving a message of this post on LinkedIn.
The Final Fantasy VII Remake series is no longer a PlayStation-first series Square Enix has officially made its Final Fantasy VII Remake series multi-platform, moving the series away from its PlayStation-first strategy. Now, all future games in the series will be day-1 multi-platform releases. This means that Part III will be coming to PC, Xbox […]
The post PC will be the “lead platform”, for Final Fantasy VII Remake Part 3 appeared first on OC3D.

The story behind the MMORPG Ashes of Creation, its development team (Intrepid Studios), its founder and CEO Steven Sharif, and its major investors (Robert Dawson, Jason Caramanis) continues to get messier. As you might remember, Jason Caramanis publicly accused Steven Sharif of fraud, embezzlement, and other illegal acts, and mentioned that Sharif would be the target of several lawsuits, including one already filed by TFE Games Holdings against Steven Sharif and his husband, John Moore, on February 9, 2026, in the Nevada District Court, Clark County. However, a few days ago, Sharif himself filed a counter-lawsuit in the United States […]
Read full article at https://wccftech.com/ashes-of-creation-riot-games-acquisition-sharif-counter-lawsuit/

AMD is reportedly going to launch its next-gen Ryzen Desktop CPUs based on the Zen 6 architecture, codenamed Olympic Ridge, in 2027. AMD Eyeing 2027 For Its Next-Gen Ryzen Launch? Olympic Ridge With Zen 6 For Desktop Ready But Might Come After Intel's Nova Lake Yesterday, we reported that AMD's next-gen Ryzen Desktop CPUs based on the Zen 6 core architecture will include several core configurations, starting at 6 cores and all the way up to 24 cores. While we wait for more information from AMD itself, it looks like we will have to wait a bit for the official […]
Read full article at https://wccftech.com/amd-olympic-ridge-zen-6-ryzen-desktop-cpus-launching-2027/

With God of War Ragnarok bringing the Norse saga to an end for Kratos and Atreus, the next entry in the series by Santa Monica Studio is set to feature a completely different setting and ancient gods for the two to wrestle with. Rumors of a possible ancient Egypt setting have been circulating for some time now, and they may not be too far off the mark, as newly discovered information hidden inside God of War Ragnarok’s files heavily hints at such a setting. Over on the God of War Ragnarok subreddit, user TheMorse_ reported having found a couple a hidden cutscene inside the game's file, which could be the […]
Read full article at https://wccftech.com/next-god-of-war-egyptian-setting-datamined/

Data isn’t just a report card. It’s your performance marketing roadmap. Following that roadmap means moving beyond Google Analytics 4’s default tools.
If you rely only on built-in GA4 reports, you’re stuck juggling interfaces and struggling to tell a clear story to stakeholders.
This is where Looker Studio becomes invaluable. It allows you to transform raw GA4 and advertising data into interactive dashboards that deliver decision-grade insights and drive real campaign improvements.
Here’s how GA4 and Looker Studio work together for PPC reporting. We’ll compare their roles, highlight recent updates, and walk through specific use cases, from budget pacing visualizations to waste-reduction audits.
GA 4 is your source of truth for website and app interactions. It tracks user behavior, clicks, page views, and conversions with a flexible, event-based model. It even integrates with Google Ads to pull key ad metrics into its Advertising workspace. However, GA4 is primarily designed for data collection and analysis, not polished, client-facing reporting.
Looker Studio, on the other hand, serves as your one-stop shop for reporting. It connects to more than 800 data sources, allowing you to build interactive dashboards that bring everything together.
Here’s how they compare functionally in 2026.
GA4 focuses on on-site analytics. In late 2025, Google finally rolled out native integration for Meta and TikTok, allowing automatic import of cost, clicks, and impressions without third-party tools.
However, the feature is still rigid. It requires strict UTM matching and lacks the ability to clean campaign names or import platform-specific conversion values, such as Facebook Leads vs. GA4 Conversions.
Looker Studio excels here, allowing you to blend these data sources more flexibly or connect to platforms GA4 still doesn’t support natively, such as LinkedIn or Microsoft Ads.
GA4’s reporting UI has improved significantly, now allowing up to 50 custom metrics per standard property, up from the previous limit of five. However, these are often static.
Looker Studio allows calculated fields, meaning you can perform calculations on your data in real time, such as calculating profit by subtracting cost from revenue, without altering the source data.
Looker Studio lets you blend multiple data sources, essentially joining tables, to create richer insights. While enterprise users on Looker Studio Pro can now use LookML models for robust data governance, the standard free version still offers flexible data blending capabilities to match ad spend with downstream conversions.
Sharing insights in GA4 often means granting property access or exporting static files. Looker Studio reports are live web links that update automatically. You can also schedule automatic email delivery of PDF reports for free.
Enterprise features in Looker Studio Pro add options for delivery to Google Chat or Slack, but standard email scheduling is available to everyone.
Dig deeper: How to use GA4 predictive metrics for smarter PPC targeting
Here’s where Looker Studio moves from helpful to essential for PPC teams.
You don’t rely on just one ad platform. A Looker Studio dashboard becomes your single source of truth, pulling in intent-based Google Ads data and blending it with awareness-based Meta and Instagram Ads for a holistic view.
Instead of just comparing clicks, use Looker Studio to normalize your data. For instance, you might discover that X Ads drove 17.9% of users, while Microsoft Ads drove 16.1%, allowing you to allocate budget based on actual blended performance.
In industries like real estate, the image sells the click. A spreadsheet saying “Ad_Group_B performed well” means nothing to a client.
Use the IMAGE function in Looker Studio. If you use a connector that pulls the Ad Image URL, you can display the actual photo of that luxury condo or HVAC promotion directly in the report table alongside the CTR. This lets clients see exactly which creative is driving results, without translation.
Reporting shouldn’t stop at the click. By bringing GA4 data into your Looker Studio report, you connect the ad to the subsequent action.
You might discover that a Cheap Furnace Repair campaign has a high CTR but a 100% bounce rate. Looker Studio lets you visualize engaged sessions per click alongside ad spend, proving lead quality matters more than volume.
Every business has unique KPIs. A real estate company might track tour-to-close ratio, while an HVAC company focuses on seasonal efficiency.
Looker Studio lets you build these formulas once and have them update automatically. You can even bridge data gaps to calculate return on ad spend (ROAS) by creating a formula that divides your CRM revenue by your Google Ads cost.
Raw data needs context. Looker Studio allows you to add text boxes, dynamic date ranges, and annotations that turn numbers into narratives.
Use annotations to explain spikes or drops. Highlight the so what behind the metrics. If cost per lead spiked in July, add a text note directly on the chart, “Seasonal demand surge + competitor aggression.” This preempts client questions and transforms a static report into a strategic tool.
Dig deeper: How to leverage Google Analytics 4 and Google Ads for better audience targeting
These dashboards go beyond surface metrics and surface insights you can act on immediately.
Anxious about overspending? Standard reports show what you’ve spent, but not how it relates to your monthly cap.
Use bullet charts in Looker Studio. Set your target to the linear spend for the current day of the month. For example, if you’re 50% through the month, the target line is 50% of the budget.
This visual instantly shows stakeholders whether you’re overpacing and need to pull back, or underpacing and need to push harder, ensuring the month ends on budget.
High spend with zero conversions is the silent budget killer in service industries.
Create a dedicated table filtered for waste. Set it to show only keywords where conversions = 0 and cost > $50, or whatever threshold makes sense for you, sorted by cost in descending order.
This creates an immediate hit list of keywords to pause. Showing this to a client proves you’re actively managing their budget and cutting waste, or you can use it internally.
For local services, location is everything. GA4 provides location reports, but Looker Studio visualizes them in ways that matter.
Build a geo performance page that shades regions by cost per lead rather than traffic volume.
You might find that while City A drives the most traffic, City B generates leads at half the cost. This allows you to adjust bid modifiers by ZIP code or city to maximize ROI.
Dig deeper: 5 things your Google Looker Studio PPC Dashboard must have
To ensure success with this combination, keep these final tips in mind.
One of today’s biggest technical challenges is GA4 API quotas. If your dashboard has too many widgets or gets viewed by too many people at once, charts may break or fail to load.
If you have heavy reporting needs, consider extracting your GA4 data to Google BigQuery first, then connecting Looker Studio to BigQuery. This bypasses API limits and significantly speeds up your reports.
Different clients have different needs. In your charts, enable the “optional metrics” feature. This adds a toggle that lets viewers swap metrics, for example, changing a chart from clicks to impressions, without editing the report each time.
When you first build a report, spot-check the numbers against the native GA4 interface. Make sure your attribution settings are correct.
Once you’ve established trust in the data, treat the dashboard as a living product, and keep iterating on the design based on what your stakeholders actually use and need.
Master Looker Studio to unlock GA4’s full potential for PPC reporting. GA4 gives you granular behavioral metrics; Looker Studio is where you combine, refine, and present them.
Move beyond basic metrics and use advanced visualizations — budget pacing, bullet charts, and ad creative tables — to deliver the transparency that builds real trust.
The result? You’ll shift from reactive reporting to proactive strategy, ensuring you’re always one step ahead in the data-driven landscape of 2026.
Dig deeper: Why click-based attribution shouldn’t anchor executive dashboards
Google Ads is now displaying examples of how “Landing Page Images” can be used inside Performance Max (PMax) campaigns — offering clearer visibility into how website visuals may automatically become ad creatives.
How it works. If advertisers opt in, Google can pull images directly from a brand’s landing pages and dynamically turn them into ads. Now when creating your campaigns, before setting it live, Google Ads will show you the automated creatives it plans on setting live.

Why we care. For PMax campaigns your site is part of your asset library. Any banner, hero image, or product visual could surface across Search, Display, YouTube, or Discover placements — whether you designed it for ads or not. Google Ads is now showing clearer examples of how Landing Page Images may be used inside those PMax campaigns — giving much-needed visibility into what automated creatives could look like.
Instead of guessing how Google might transform site visuals into ads, brands can better anticipate, audit, and control what’s eligible to serve. That visibility makes it easier to refine landing pages proactively and avoid unwanted surprises in live campaigns.
Between the lines: Automation is expanding — but so is creative risk. Therefore this is a very useful update that keeps advertisers aware of what will be set live before the hit the go live button.
Bottom line: In PMax, your website is no longer just a landing page. It’s part of the ad engine.
First seen. This update was spotted by Digital Marketer Thomas Eccel who showed an example on LinkedIn.
I stopped using press releases several years ago. I thought they had lost most of their impact.
Then a conversation with a good friend and mentor changed my perspective.
She explained that the days of expecting organic features from simply publishing a press release were long gone. But she was still getting strong results by directly pitching relevant journalists once the release went live, using its key points and a link as added leverage.
I reluctantly tried her approach, and the results were phenomenal, earning my client multiple organic features.
My first thought was, “If it worked this well with a small tweak, I can make it even more effective with a comprehensive strategy.”
The strategy I’m about to share is the result of a year of experiments and refinements to maximize the impact of my press releases.
Yes, it requires more research, planning, and execution. But the results are exponentially greater, and well worth the extra effort.
You already know what your client wants the world to know — that’s your starting point.
From there:
As you write your client’s press release, look for opportunities to cite articles from the list you compiled, including links to the pieces you reference.
Make sure each citation is highly relevant and adds data, clarity, or context to your message. Aim for three to five citations. More won’t add value and will dilute your client’s message.
At the same time, draft tailored pitches to the journalists whose articles you’re citing, aligned with their beat and prior coverage.
Mention their previous work subtly — one short quote they’ll recognize is enough. Include links to a few current social media threads that show active public interest in the topic. Close with a link to your press release (once it’s live) and a clear call to action.
The goal isn’t to win favor by citing them. It’s to show the connection between your client’s message and their previous coverage. Because they’ve already covered the topic, it’s an easy transition to approach it from a new angle — making a media feature far more likely.
Start by engaging with the journalists on your list through social media for a few days. Comment on their recent posts, especially those covering topics from your list. This builds name recognition and begins the relationship.
Then publish your press release. As soon as it goes live, send the pitches you wrote earlier to the three to five journalists you cited. Include the live link to your press release. (I prefer linking to the most authoritative syndication rather than the wire service version.)
After that, pitch other relevant journalists.
As with the first group, tailor each pitch to the journalist. Reference relevant points from their previous articles that support your client’s message. The difference is that because you didn’t cite these journalists in your press release, the impact may be lower than with the first group.
Track all organic features you secure. You may earn some simply from publishing the press release, though that’s less common now. You’re more likely to earn them through direct pitches, and each one creates new opportunities.
Review each new feature for references to other articles, especially from the list you compiled earlier. Then pitch the journalist who wrote the original article, citing the new piece that references or reinforces their work.
This strategy leverages two powerful psychological principles:
Follow this framework for your next press release, and you’ll earn more media coverage, keep your clients happier, and create more impact with less effort — while looking like a rockstar.
SignalRGB is a free app that makes RGB chaos manageable, letting you sync lighting effects across keyboards, mice, RAM, fans, and other PC gear – even when it's all from different brands. This update polishes the UI, fixes bugs, and expands compatibility with dozens of new devices.
Regimen is an all-in-one tracker for peptides, GLP-1s, TRT, and performance compounds. It includes peptide reconstitution and mL dose calculators to prevent dosing errors, plus flexible schedules and smart reminders so you never miss a dose or cycle. Log every injection, track your weight and key metrics, and compare progress with side-by-side photos. Manage both simple and complex protocols while browsing a complete compound library.


All three delidded Ryzen 9000X3D processors are now available on the official Thermal Grizzly website, including the recently launched 9850X3D. Thermal Grizzly Introduces AMD TG Delidded Ryzen 7 9850X3D CPU for $876.33 With Two Years of Warranty Thermal Grizzly was quick in introducing the delidded AMD Ryzen 7 9850X3D processor, which was launched roughly three weeks ago. Ryzen 7 9850X3D is right now the fastest gaming processor, succeeding the 9800X3D with most of its specs identical except for the boost clock. If you remember, Thermal Grizzly started selling the delidded Ryzen 7 9800X3D CPUs in Q1 2025, just a few […]
Read full article at https://wccftech.com/thermal-grizzly-starts-selling-delidded-amd-ryzen-7-9850x3d-at-876/

Corporate espionage is a tricky affair at the best of times. And, when your target vector involves a behemoth like Google and its prized Tensor chip, the stakes become nosebleed-high, as three Silicon Valley engineers are now finding out to their detriment. Two sisters and one of their husbands now stand accused of stealing trade secrets related to Google's Tensor chip As per a press release issued by the United States Attorney's Office, Northern District of California, three Silicon Valley engineers - Samaneh Ghandali, Mohammadjavad Khosravi, and Soroor Ghandali - have now been indicted "on charges of conspiring to commit […]
Read full article at https://wccftech.com/google-tensor-chip-ip-theft-might-land-three-people-in-prison-for-a-20-year-stint-as-the-iranian-angle-gains-prominence/

Veteran game designer Jake Solomon, known mostly for XCOM: Enemy Unknown, XCOM 2, and Marvel's Midnight Suns, announced the closure of Midsummer Studios. Solomon had founded the development team after leaving Firaxis. In 2024, I interviewed him to learn more about his next game, a narrative-driven life simulation for which he had already raised $6 million in seed funding. Rather than going for a traditional sandbox-like approach in the vein of the king of the genre, The Sims from Maxis, the game was conceived around player-driven storytelling. It was a systems-based approach where conflict, relationships, and consequences would combine to […]
Read full article at https://wccftech.com/xcom-jake-solomon-closes-midsummer-studios-life-sim/

Nintendo will celebrate Pokémon Day 2026 with new Switch versions of Fire Red and Leaf Green On February 27th (Pokémon Day 2026), Nintendo will celebrate 30 years of Pokémon by bringing Pokémon Fire Red and Leaf Green to their Switch and Switch 2 consoles. These games are the definitive versions of Pokémon’s original Kanto adventure, […]
The post Pokémon Fire Red and Leaf Green are coming to Switch appeared first on OC3D.
Free Card Sort helps you design and validate information architecture with card sorting, tree testing, and surveys in one place. Create studies in minutes, recruit participants via share links or Prolific, and watch results roll in quickly. It provides AI-generated test responses, automatic clustering with similarity matrices and dendrograms, visual analytics, and CSV export. Gamified participant experiences boost engagement and data quality, while templates and bulk import speed up setup so you can move from idea to insights fast.
This morning, KOEI TECMO and TEAM NINJA announced that Nioh 3 has already become a million-seller and is, to date, the fastest-selling game in the action RPG series. We previously had a glimpse of the game's early success in its concurrent player peak on Steam, which far surpassed its predecessors'. Another side is the very strong critical reception, which is being celebrated with a dedicated accolades trailer that prominently features our own review score (9.8/10). Earlier this month, Francesco De Meo explained in great detail why he felt Nioh 3 is the Japanese developer's best work yet: Nioh 3 is […]
Read full article at https://wccftech.com/nioh-3-sells-1m-copies-fastest-selling-game-series/

Visual CSS editor for Google Chrome
Guest2Host lets short-term rental hosts turn an Airbnb listing into a branded direct-booking website in seconds. Paste your listing URL and it imports photos, reviews, and details, then launches a Stripe-ready checkout with your own pricing and rules.
It auto-syncs calendars with Airbnb to prevent double bookings, gives you full control over cancellations and refunds, and requires no lock-in contracts. You can customize themes, amenities, and content, keep payouts in your Stripe account, and retain more of each booking. There are no hidden fees and no commission.
Corippl automates reciprocal content promotion between creators using AI. The give-to-receive model ensures fairness: AI shares others' content on your behalf and distributes yours to matched creators based on niche, audience overlap, and engagement.
There are three tiers: Free (manual matching with limits), Premium ($15/month, unlimited uploads and partnership management), and AI Enhanced ($20/month, full autopilot—automatically shares content, predicts performance, provides optimization suggestions, prioritizes high-engagement matches). It's ideal for newsletter writers, bloggers, podcasters, and video creators seeking growth without ad spending.

Create AI-narrated software video guides in minutes
Smart Doppler radar powered by your phone
Computer Using Agents on Secure Cloud VMs That Run Forever
Export and share your Claude Code sessions as resumable URLs
Give AI access to 6754+ APIs with zero credentials exposed
Turn simple product photos into pro studio imagery instantly
The invisible teleprompter that lives in your MacBook Notch.
Your bookmarks, attached to any browser as a sidebar
On-device transcription for macOS with MCP
A smarter model for your most complex tasks
Build a website by chatting with AI
AI coding assistant on Mobile for OpenCode/KiloCode Server
Use your Apple Watch with any Android phone
Build AI that works for you
Your home for personal intelligence

Kachilu is a cloud-integrated business platform that uses AI to automate core operations across recruiting, sales, and back office. It offers modules like Kachilu Scout for AI-driven candidate sourcing and outreach, Sales for automated lead selection and DM/form sending, Stock Option for issuing equity with compliant documents, Sign for e-signatures, Scheduler for meeting coordination, Invoice for billing, and Shift for workforce scheduling. Use one account to move between services, start quickly at low cost, and scale processes with automation.
"Bluepoint Games is an incredibly talented team and their technical expertise has delivered exceptional experiences for the PlayStation community. We thank them for their passion, creativity and craftsmanship." -Sony via Game Developer.
GPT for Work brings AI to Google Sheets and Microsoft Excel for bulk tasks. It helps you write formulas, clean and analyze data, run web and image searches at scale, and generate or translate content across thousands of rows. You can choose your AI provider, monitor progress in real time, and process up to 1,000 cells per minute with enterprise-grade security and admin controls.
Neoshift BI is an AI-powered analytics platform designed to eliminate the friction between raw data and decision-making. Instead of wrestling with complex SQL or static spreadsheets, Neoshift allows you to query millions of rows using natural language, instantly generating interactive dashboards and deep-dive insights. Whether you’re connecting databases, APIs, or spreadsheets, Neoshift centralizes your stack into a secure, high-performance cloud warehouse. It’s built for teams that need to move fast, allowing sales, marketing, and finance departments to collaborate on real-time metrics without waiting on a data analyst.

Snap CEO Evan Spiegel says the restrictions represent a flawed approach and don’t address the biggest problems of online exposure.
The latest product in the company’s wearables line will also include health tracking features.

A new study published in Nature found that exposure to the platform’s algorithm had long-term effects on users’ political attitudes.

The company’s safety and security measures will include ad restriction policies and artificial intelligence labeling.
The Scenario Planner is designed to give external users access to estimation tools and help them better measure campaigns.
The changes will ensure that third-party ad management tools are aligned with Meta's metric focus.
LinkedIn Premium has seen a 50% rise in subscriptions over the past two years.
Wccftech recently attended a remote press presentation in which French developer DON'T NOD (Life is Strange, Vampyr, Banishers: Ghost of New Eden, Lost Records: Bloom & Rage) unveiled an extended preview of Aphelion, their upcoming sci-fi narrative-driven adventure game, showcasing two early chapters that introduced the game's hostile alien world and the mechanics that will define the experience. The presentation was led by Dimitri Weideli, executive producer, and Florent Guillaume, creative director, who walked us through gameplay and then answered some questions. In this article: A Desperate Mission Gone Wrong Set in 2062, Aphelion tells the story of astronauts Ariane […]
Read full article at https://wccftech.com/dont-nod-aphelion-preview-alien-isolation-inspired-sci-fi-adventure/

Sony shuts down Bluepoint Games less than five years after acquiring it Sony has confirmed to Bloomberg that it will be shutting down Bluepoint Games in March. The studio’s closure will result in the loss of 70 jobs and mark the end of a studio with an almost impeccable legacy. Bluepoint Games is well-known for […]
The post Sony shuts down Bluepoint Games, the remake masters appeared first on OC3D.
Vibe Otter is an AI website builder for busy people that generates a 90% complete site from your description, so you never start from a blank page. It includes custom domains, hosting, built-in SEO, and mobile optimization, allowing you to launch a professional online presence in about an hour without drag-and-drop complexity. You can edit content, swap images, capture leads with forms, and publish instantly; donations are supported today, and Shopify ecommerce integration is on the roadmap.
After MegaCrit missed its initial 2025 release goal for Slay the Spire 2, the beloved indie developer confirmed today that the long-awaited sequel to the popular roguelike deckbuilder will arrive on March 5, 2026. Announced during the Indie Fan Fest, its Early Access release trailer includes a few sneak peeks at gameplay mixed in between some high-quality animations. Back in September 2025, when MegaCrit confirmed that Slay the Spire 2 wouldn't arrive in 2025, it gave a release window that was vague and specific at the same time. The studio confirmed the game would arrive on "a secret Thursday in […]
Read full article at https://wccftech.com/slay-the-spire-2-release-date-megacrit/

Popular monitor maker AOC has added another QD-OLED gaming monitor in its Gaming series, filling the gap between Q27G4ZDR and Q27G4SDR. AOC Launches Gaming Q27G4ZD With 3rd-Gen QD-OLED Panel; Features 280 Hz Refresh Rate, QHD Resolution, and DisplayHDR400 Certification Monitor manufacturer AOC is back with another affordable gaming monitor in the Gaming series. AOC recently launched its first QD-OLED gaming monitors in the Gaming lineup, following a couple of high-end OLED monitors in the AGO PRO lineup. The Gaming OLED series has been further expanded with the launch of the Q27G4ZD gaming monitor, which fills the gap between the two […]
Read full article at https://wccftech.com/aoc-launches-q27g4zd-qd-oled-280hz-gaming-monitor/

Toronto-based developer Hilltop Studios has just revealed its second major project, Curse of Resthaven, a narrative-driven roguelike that studio director Scott Christian calls "a radical shift" from the team's award-winning debut game, Lil' Guardsman. Announced during the Indie Fan Fest, you'll enter the dark and gloomy island colony of Resthaven with seven days to discover the mystery behind the cursed island and save its inhabitants from the time loop. While the colourful presentation of Lil' Guardsman can make you feel like the stakes are relatively small, deciding whether or not to let people into the kingdom with its comedic twist […]
Read full article at https://wccftech.com/lil-guardsman-developer-reveals-curse-of-resthaven-radical-shift-from-debut-award-winning-game/

Intel has rolled out its virtual assistant on Microsoft's Copilot Studio platform, aiming to solve user queries about hardware problems and, hopefully, find solutions. Intel's Virtual Assistant Helps Users to Solve Out Redundant Problems, Redirecting Complex Queries to Humans Intel's efforts for consumers have been really interesting over the past few months, given that the company saw massive success with its Panther Lake launch, which suggests that, at least on the launch front, Team Blue is doing great. However, in terms of after-sales services and customer support, Intel has lagged on several occasions, and we saw significant flaws in how […]
Read full article at https://wccftech.com/intels-fix-for-system-problems-is-agentic-ai-a-microsoft-copilot-driven-bot/

Embark Studios has just revealed the next update and map condition coming to ARC Raiders, with hurricanes arriving next week on February 24, 2026, in the game's new Shrouded Sky update. The short teaser doesn't show any gameplay, but it does make it clear how disruptive and dangerous the hurricanes will be for raiders who choose to brave the weather while the condition is in effect. A blog post on the ARC Raiders' official website digs further into what raiders will have to deal with, and it's a little more than some high-speed winds. "The climate is damaged and unpredictable, […]
Read full article at https://wccftech.com/new-arc-raiders-hurricane-map-condition-arrives-in-shrouded-sky-update-next-week/

We've been surprised by video game studio closures before, like when Xbox shut down Arkane Austin and Tango Gameworks, but this latest studio closure is arguably the most shocking one we've seen in a long time. Bluepoint Games, the studio responsible for the Demon's Souls Remake and decades of remakes and remasters across several iconic franchises, is being shut down by PlayStation. It was Bloomberg's Jason Schreier who broke the news that just five years after the studio officially joined the PlayStation Studios family, its remaining 70 developers are losing their jobs in what is yet another baffling decision by […]
Read full article at https://wccftech.com/playstation-shutting-down-bluepoint-games/

OpenAI is serving ads inside ChatGPT, and new findings suggest the experience looks quite different from what the company originally envisioned.
What’s happening. Research from AI ad intelligence firm Adthena has identified the first confirmed ads appearing on ChatGPT for signed-in desktop users in the U.S.
The big surprise. Early speculation suggested ads would only surface after extended back-and-forth conversations. That’s not what’s happening. When a user asked “What’s the best way to book a weekend away?”, sponsored placements appeared immediately — on the very first response.
What they look like. The ads feature a prominent brand favicon and a clear “Sponsored” label, a design that differs slightly from the concepts OpenAI had previously shared publicly.

Why we care. ChatGPT is one of the most visited sites on the internet. Ads appearing in its responses marks a significant moment for the future of AI monetization — and a potential shift in how brands reach consumers at the point of inquiry.
Between the lines. The immediacy of the ad trigger suggests OpenAI is treating single, high-intent prompts — not just sustained conversations — as viable ad inventory. That’s a meaningful strategic signal for advertisers evaluating where to place budget.
The bottom line. ChatGPT’s ad era has quietly begun. For marketers, the question is no longer if they need an AI search strategy — it’s whether they’re already late.
First spotted. CMO of Adthena, Ashley Fletcher shared his team spotting the ads on LinkedIn.
Reddit is piloting a new AI-powered shopping experience that transforms its famously trusted community recommendations into shoppable product carousels — a move that could reshape how the platform monetizes its search traffic.
What’s happening. A small group of U.S.-based users are seeing interactive product carousels appear in search results when their queries signal purchase intent — think “best noise-canceling headphones” or “top budget laptops.”

How it works. The AI identifies purchase-intent queries, scans relevant Reddit conversations for product mentions, and assembles them into structured, shoppable cards. Users can tap a card to get more details and link out to retailers.
Why we care. Reddit’s shopping carousels give advertisers a rare opportunity to reach consumers at peak purchase intent — at the exact moment they’re seeking peer validation for a buying decision. Unlike traditional display ads, products surfaced here benefit from the implicit trust of Reddit’s community context, making them feel less like ads and more like recommendations.
For brands already running Dynamic Product Ads on Reddit, this is a direct pipeline from community buzz to conversion.
Between the lines. Reddit is doing something its competitors haven’t quite cracked — using organic, peer-driven content as the foundation of a commerce experience rather than pure ad targeting.
That’s a meaningful distinction. Consumers increasingly distrust sponsored recommendations, and Reddit’s entire value proposition is built on authentic community voice. Formalizing that into a shopping layer could give it a credibility edge over traditional retail media networks.
The big picture. Retail media is a fast-growing business, and platforms with high-intent audiences are racing to claim their share. Reddit’s search traffic has grown significantly since its Google search partnership, making this a natural next frontier.
The bottom line. Reddit is experimenting with turning intent-driven search into commerce, aiming to make it easier for users to move from recommendation to transaction — without leaving the community context that drives trust.
Dig deeper. In Case You Saw It: We are Testing a New Shopping Product Experience in Search
AMD’s Zen 6 “Olympic Ridge” Zen 6 desktop CPUs will have between six and twenty-four CPU cores Core counts for AMD’s next-generation Zen 6 “Olympic Ridge” CPU lineup have leaked, confirming significant increases in core counts for AMD’s next-generation Ryzen processors. HXL (via WCCFTECH) has unveiled seven CPU core configurations, with four using a single […]
The post Next-gen AMD Ryzen “Olympic Ridge” Zen 6 desktop CPU core counts leak appeared first on OC3D.



UniBee is an open-source billing platform designed for SaaS, fintech, and AI companies. It manages the full subscription lifecycle, including trials, renewals, and complex usage-based metering for API calls or tokens. You can automate global invoicing, handle multiple currencies, and use smart dunning to recover failed payments. Since it’s open-source, you can self-host to avoid vendor lock-in or choose our managed cloud. It connects to your existing payment gateways and provides real-time insights into MRR, churn, and customer lifetime value from one dashboard.
Google launched an AI Professional Certificate with seven self-paced modules and three months of AI Pro access. Eligible U.S. small businesses can enroll free.
The post Google Offers AI Certificate Free For Eligible U.S. Small Businesses appeared first on Search Engine Journal.
A new GPU overclocking world record has been set by AMD, using its budget Radeon RX 9060 XT GPU. Splave and AMD Collaborate to Break GPU Frequency World Record at AMD's Office; Overclock Radeon RX 9060 XT to 4.769 GHz There is only a single official 4.0+ GHz dGPU overclocking record ever registered, and that's by Splave on the GeForce RTX 4090. SkatterBencher also previously pushed the GPU frequency to 4.25 GHz, but it was on the integrated graphics on the Arrow Lake processor. These are the only two GPU OC world records to have ever crossed the 4.0 GHz […]
Read full article at https://wccftech.com/amd-breaks-gpu-frequency-overclocking-world-record-by-pushing-radeon-rx-9060-xt-to-4-769-ghz/

Eternal Darkness and Legacy of Kain creator Denis Dyack shared a lot of interesting thoughts in a two-hour-long interview with KiwiTalkz, in which he addressed the lack of optimization of many Unreal Engine 5 games. You might remember that his upcoming game, Deadhaus Sonata, was powered by the Amazon Lumberyard engine when we last talked to him a few years ago. Well, Dyack's studio went through several engine changes before eventually landing on Epic's technology after patching things up with the company following their previous dispute over Too Human. Now a user of the leading game-making tool, Dyack pointed the […]
Read full article at https://wccftech.com/denis-dyack-defends-ue5-decries-state-of-the-industry/

No matter what you do, the notorious 16-pin power connector won't be safe. This user was another victim of connector melting, but he tried to mitigate it beforehand. User Reports Burnt 16-pin Power Connector on GIGABYTE RTX 5090 Despite Restricting it to Consume No More Than 500W The amount of effort users have to put in just to keep their GPUs safe from connector melting now feel unsettling. It was never like this with the regular 6-pin or 8-pin PCIe connectors, but the notorious 16-pin connector cannot just run without running into issues, despite numerous mitigation attempts by some manufacturers […]
Read full article at https://wccftech.com/nvidia-rtx-5090-gets-its-top-connector-row-cooked-despite-a-500w-max-power-ceiling-by-the-user/

Owners of NVIDIA's GeForce RTX GPUs & DGX Spark systems can enjoy OpenClaw AI Agent on their system for free with boosted performance. Planning To Run OpenClaw On Your RTX System? NVIDIA Dishes Out A Full Guide That Enables Users To Run Local AI Agents On RTX GPUs & DGX Spark Recently, AI Agents such as Clawbot, Motlbot, and OpenClaw have become very popular. These agents act as your personalized AI assistants and run on virtually any machine with persistent memory support and the ability for users to give access to the entire system. Openclaw has also been gaining popularity due to its "local-first" […]
Read full article at https://wccftech.com/nvidia-geforce-rtx-gpu-dgx-spark-owners-can-run-openclaw-boosted-ai-performance/

The Ubisoft Toronto team is at the helm of what is arguably one of Ubisoft's most significant projects, the long-awaited Splinter Cell Remake, and they're also the most recent team to get hit by the mass layoffs that Ubisoft has been conducting as part of its recently revealed "major reset." This is Ubisoft's fourth layoff announcement in 2026. First reported by MobileSyrup, Ubisoft confirmed the layoffs to Wccftech in a statement that marked this layoff as part of a "final phase" of the company's global cost-saving efforts. The company also confirmed that development of the Splinter Cell Remake continues at […]
Read full article at https://wccftech.com/splinter-cell-remake-team-ubisoft-toronto-layoffs/

Google Analytics is adding AI-powered Generated insights to the Home page and rolling out cross-channel budgeting (beta), moves designed to help marketers spot performance shifts faster and manage paid spend more strategically.
What’s happening. Generated insights now appear directly on the Google Analytics Home screen, summarizing the top three changes since a user’s last visit. That includes notable configuration updates, anomalies in performance and emerging seasonality trends — all without digging into detailed reports.
The feature is built for speed. Instead of manually scanning dashboards, marketers get a quick snapshot of what changed and why it may matter.
Cross-channel budgeting (Beta). Google is also introducing cross-channel budgeting in beta. The feature helps advertisers track performance across paid channels and optimize investments based on results.
Access is currently limited, with broader availability expected over time.
Why we care. These updates make it faster to spot performance shifts and easier to connect insights to budget decisions. Generated insights surface key changes automatically, reducing the time spent digging through reports, while cross-channel budgeting helps marketers allocate spend more strategically across paid channels.
Together, they streamline analysis and improve how quickly teams can
Bottom line. Together, Generated insights and cross-channel budgeting aim to reduce reporting friction and improve decision-making — giving marketers faster answers and more control over how they allocate budget across channels.
Linux compiler work unveils new mobile Radeon graphics architecture New Linux efforts for AMD’s Radeon software stack have unveiled a new graphics architecture, one that sits between RDNA 3.5 and RDNA 4 in terms of functionality. Right now, Phoronix, which uncovered these changes, calls this new architecture RDNA 4m, as this GPU is likely to […]
The post AMD “RDNA 4m” GPU spotted for future mobile CPUs appeared first on OC3D.

RepoClip turns your GitHub repository into a polished demo video in minutes. Paste a public or private repo URL and its AI analyzes your code, writes a clear script, generates matching visuals, and adds professional narration. You can export videos in 720p to 4K and customize the tone, style, voice, and focus. Use it to announce features, pitch investors, promote open source projects, or create social content without manual editing, with private access secured via GitHub connection.
In what is a testament to Apple's penchant for optimizing its products to the umpteenth extent, the iPhone 17 models show the least performance variation between the early review units and their mass production counterparts, with many Chinese OEMs predictably faring quite poorly against Apple's benchmark consistency. Apple's iPhone 17 production models show admirable performance consistency against early review units As per a recent test that compared various flagships based on the performance of early review units with their production-ready counterparts, Apple's iPhone 17 lineup showed the lowest variance overall, with the iPhone 17 Pro and Pro Max going so […]
Read full article at https://wccftech.com/another-reason-to-go-with-apple-iphone-17-lineup-shows-the-lowest-performance-variation-between-early-review-units-and-production-models/

Last week, we reported that the popular sci-fi action RPG looter-shooter Warframe would make its worldwide debut on Android devices on February 18, 2026, after arriving first in Canada. That was, of course, true at the time. But a last-minute, one-day delay pushed the release back by, well, a day. So as of today, February 19, 2026, developer Digital Extreme's game is now officially out on Android mobile devices across the globe, and it still has another platform to hit, as it'll be coming to the Nintendo Switch 2 "soon." This new version of Warframe almost rounds out the full […]
Read full article at https://wccftech.com/warframe-out-now-android-devices-globally-nintendo-switch-2-edition-coming-soon/

For a good while now, the gaming industry has been grappling with the controversial integration of generative Artificial Intelligence in game development, with more and more studios and publishers implementing it in a variety of ways. Other studios, however, are still keeping an eye on the technology, only using it as a tool to enhance the human touch that makes games special, such as Bethesda Game Studios with its cautious, hands-off approach. In a recent appearance on the Kinda Funny Gamescast, Bethesda’s studio head Todd Howard addressed again the hot topic of AI usage in video game development. While many […]
Read full article at https://wccftech.com/its-certainly-not-a-fad-bethesda-todd-howard-ai-generate/

When you start your journey in ARC Raiders, certain ARCs, like Rocketeers and Bastion's, can send a chill down the spine of any new Raider. You'll eventually learn how to take these machines down, but there's always something bigger waiting in the wings, and in this new extraction shooter, that 'something bigger' is the Matriarchs. They're the closest thing ARC Raiders has to a boss encounter. You can't take them down yourself (not without some serious luck and know-how), and they're arguably the most deadly machines you'll face as far as the game's PvE elements are concerned. But that hasn't […]
Read full article at https://wccftech.com/embark-gave-arc-raiders-players-too-effective-abilities-take-down-matriarchs/

Search is no longer a blue-links game. Discovery increasingly happens inside AI-generated answers – in Google AI Overviews, ChatGPT, Perplexity, and other LLM-driven interfaces. Visibility isn’t determined solely by rankings, and influence doesn’t always produce a click.
Traditional SEO KPIs like rankings, impressions, and CTR don’t capture this shift. As search becomes recommendation-driven and attribution grows more opaque, SEO needs a new measurement layer.
LLM consistency and recommendation share (LCRS) fills that gap. It measures how reliably and competitively a brand appears in AI-generated responses – serving a role similar to keyword tracking in traditional SEO, but for the LLM era.
Traditional SEO metrics are well-suited to a model where visibility is directly tied to ranking position and user interaction largely depends on clicks.
In LLM-mediated search experiences, that relationship weakens. Rankings no longer guarantee that a brand appears in the answer itself.
A page can rank at the top of a search engine results page yet never appear in an AI-generated response. At the same time, LLMs may cite or mention another source with lower traditional visibility instead.
This exposes a limitation in conventional traffic attribution. When users receive synthesized answers through AI-generated responses, brand influence can occur without a measurable website visit. The impact still exists, but it isn’t reflected in traditional analytics.
At the core of this change is something SEO KPIs weren’t designed to capture:
Traditional SEO analytics largely stop at indexing and ranking. In LLM-driven search, the competitive advantage increasingly lies in recommendation – a dimension existing KPIs fail to quantify.
This gap between influence and measurement is where a new performance metric emerges.
The SEO toolkit you know, plus the AI visibility data you need.
LLM consistency and recommendation share is a performance metric designed to measure how reliably a brand, product, or page is surfaced and recommended by LLMs across search and discovery experiences.
At its core, LCRS answers a question traditional SEO metrics can’t: When users ask LLMs for guidance, how often and how consistently does a brand appear in the answer?
This metric evaluates visibility across three dimensions:
LCRS isn’t about isolated citations, anecdotal screenshots, or other vanity metrics. Instead, it focuses on building a repeatable, comparative presence. That makes it possible to benchmark performance against competitors and track directional change over time.
LCRS isn’t intended to replace established SEO KPIs. Rankings, impressions, and traffic still matter where clicks occur. LCRS complements them by covering the growing layer of zero-click search – where recommendation increasingly determines visibility.
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LCRS has two main components: LLM consistency and recommendation share.
In the context of LCRS, consistency refers to how reliably a brand or page appears across similar LLM responses. Because LLM outputs are probabilistic rather than deterministic, a single mention isn’t a reliable signal. What matters is repeatability across variations that mirror real user behavior.
Prompt variability is the first dimension. Users rarely phrase the same question in exactly the same way. High LLM consistency means a brand surfaces across multiple, semantically similar prompts, not just one phrasing that happens to perform well.
For example, a brand may appear in response to “best project management tools for startups” but disappear when the prompt changes to “top alternatives to Asana for small teams.”
Temporal variability reflects how stable those recommendations are over time. An LLM may recommend a brand one week and omit it the next due to model updates, refreshed training data, or shifts in confidence weighting.
Consistency here means repeated queries over days or weeks produce comparable recommendations. That indicates durable relevance rather than momentary exposure.
Platform variability accounts for differences between LLM-driven interfaces. The same query may yield different recommendations depending on whether a conversational assistant, an AI-powered search engine, or an integrated search experience responds.
A brand demonstrating strong LLM consistency appears across multiple platforms, not just within a single ecosystem.
Consider a B2B SaaS brand that different LLMs consistently recommend when users ask for “CRM tools for small businesses,” “CRM software for sales teams,” and “HubSpot alternatives.” That repeatable presence indicates a level of semantic relevance and authority LLMs repeatedly recognize.
While consistency measures repeatability, recommendation share measures competitive presence. It captures how frequently LLMs recommend a brand relative to other brands in the same category.
Not every appearance in an AI-generated response qualifies as a recommendation:
When LLMs repeatedly answer category-level questions such as comparisons, alternatives, or “best for” queries, they consistently surface some brands as primary responses while others appear sporadically or not at all. Recommendation share captures the relative frequency of those appearances.
Recommendation share isn’t binary. Appearing among five options carries less weight than being positioned first or framed as the default choice.
In many LLM interfaces, response ordering and emphasis implicitly rank recommendations, even when no explicit ranking exists. A brand that consistently appears first or includes a more detailed description holds a stronger recommendation position than one that appears later or with minimal context.
Recommendation share reflects how much of the recommendation space a brand occupies. Combined with LLM consistency, it provides a clearer picture of competitive visibility in LLM-driven search.
To be useful in practice, this framework must be measured in a consistent and scalable way.
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Measuring LCRS demands a structured approach, but it doesn’t require proprietary tooling. The goal is to replace anecdotal observations with repeatable sampling that reflects how users actually interact with LLM-driven search experiences.
The first step is prompt selection. Rather than relying on a single query, build a prompt set that represents a category or use case. This typically includes a mix of:
Phrase each prompt in multiple ways to account for natural language variation.
Next, decide between brand-level and category-level tracking. Brand prompts help assess direct brand demand, while category prompts are more useful for understanding competitive recommendation share. In most cases, LCRS is more informative at the category level, where LLMs must actively choose which brands to surface.
Tracking LCRS quickly becomes a data management problem. Even modest experiments involving a few dozen prompts across multiple days and platforms can generate hundreds of observations. That makes spreadsheet-based logging impractical.
As a result, LCRS measurement typically relies on programmatically executing predefined prompts and collecting the responses.
To do this, define a fixed prompt set and run those prompts repeatedly across selected LLM interfaces. Then parse the outputs to identify which brands are recommended and how prominently they appear.
You can automate execution and collection, but human review remains essential for interpreting results and accounting for nuances such as partial mentions, contextual recommendations, or ambiguous phrasing.
Early-stage analysis may involve small prompt sets to validate your methodology. Sustainable tracking, however, requires an automated approach focused on a brand’s most commercially important queries.
As data volume increases, automation becomes less of a convenience and more of a prerequisite for maintaining consistency and identifying meaningful trends over time.
Track LCRS over time rather than as a one-off snapshot because LLM outputs can change. Weekly checks can surface short-term volatility, while monthly aggregation provides a more stable directional signal. The objective is to detect trends and identify whether a brand’s recommendation presence is strengthening or eroding across LLM-driven search experiences.
With a way to track LCRS over time, the next question is where this metric provides the most practical value.
LCRS is most valuable in search environments where synthesized answers increasingly shape user decisions.
Marketplaces and SaaS platforms benefit significantly from LCRS because LLMs often act as intermediaries in tool discovery. When users ask for “best tools,” “alternatives,” or “recommended platforms,” visibility depends on whether LLMs consistently surface a brand as a trusted option. Here, LCRS helps teams understand competitive recommendation dynamics.
In “your money or your life” (YMYL) industries like finance, health, or legal services, LLMs tend to be more selective and conservative in what they recommend. Appearing consistently in these responses signals a higher level of perceived authority and trustworthiness.
LCRS can act as an early indicator of brand credibility in environments where misinformation risk is high and recommendation thresholds are stricter.
LCRS is also particularly relevant for comparison-driven and early-stage consideration searches. LLMs often summarize and narrow choices when users explore options or seek guidance before forming brand preferences.
Repeated recommendations at this stage influence downstream demand, even if no immediate click occurs. In these cases, LCRS ties directly to business impact by capturing influence at the earliest stages of decision-making.
While these use cases highlight where LCRS can be most valuable, it also comes with important limitations.
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LCRS is designed to provide directional insight, not absolute certainty. LLMs are inherently nondeterministic, meaning identical prompts can produce different outputs depending on context, model updates, or subtle changes in phrasing.
As a result, you should expect short-term fluctuations in recommendations and avoid overinterpreting them.
LLM-driven search experiences are also subject to ongoing volatility. Models are frequently updated, training data evolves, and interfaces change. A shift in recommendation patterns may reflect platform-level changes rather than a meaningful change in brand relevance.
That’s why you should evaluate LCRS over time and across multiple prompts rather than as a single snapshot.
Another limitation is that programmatic or API-based outputs may not perfectly mirror responses generated in live user interactions. Differences in context, personalization, and interface design can influence what individual users see.
However, API-based sampling provides a practical, repeatable reference point because direct access to real user prompt data and responses isn’t possible. When you use this method consistently, it allows you to measure relative change and directional movement, even if it can’t capture every nuance of user experience.
Most importantly, LCRS isn’t a replacement for traditional SEO analytics. Rankings, traffic, conversions, and revenue remain essential for understanding performance where clicks and user journeys are measurable. LCRS complements these metrics by addressing areas of influence that currently lack direct attribution.
Its value lies in identifying trends, gaps, and competitive signals, not in delivering precise scores or deterministic outcomes. Viewed in that context, LCRS also offers insight into how SEO itself is evolving.
Track, optimize, and win in Google and AI search from one platform.
The introduction of LCRS reflects a broader shift in how search visibility is earned and evaluated. As LLMs increasingly mediate discovery, SEO is evolving beyond page-level optimization toward search presence engineering.
The objective is no longer ranking individual URLs. Instead, it’s ensuring a brand is consistently retrievable, understandable, and trustworthy across AI-driven systems.
In this environment, brand authority increasingly outweighs page authority. LLMs synthesize information based on perceived reliability, consistency, and topical alignment.
Brands that communicate clearly, demonstrate expertise across multiple touchpoints, and maintain coherent messaging are more likely to be recommended than those relying solely on isolated, high-performing pages.
This shift places greater emphasis on optimization for retrievability, clarity, and trust. LCRS doesn’t attempt to predict where search is headed. It measures the early signals already shaping LLM-driven discovery and helps SEOs align performance evaluation with this new reality.
The practical question for SEOs is how to respond to these changes today.
As LLM-driven search continues to reshape how users discover information, SEO teams need to expand how they think about visibility. Rankings and traffic remain important, but they no longer capture the full picture of influence in search experiences where answers are generated rather than clicked.
The key shift is moving from optimizing only for ranking positions to optimizing for presence and recommendation. LCRS offers a practical way to explore that gap and understand how brands surface across LLM-driven search.
The next step for SEOs is to experiment thoughtfully by sampling prompts, tracking patterns over time, and using those insights to complement existing performance metrics.
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