Chetmail delivers a daily email digest of updates from across the web. You can add websites, blogs, or RSS feeds and filter by keywords to include or exclude what matters. Set your delivery time, view rich previews, and receive search notifications to ensure you never miss mentions or competitor moves. Chetmail respects your privacy by processing sources and deleting data after sending.
On December 2, 2025, we reported that Epic Games had decided to ban the controversial game HORSES at the last minute before its planned launch. They had previously approved a pre-release build, whereas Valve had banned it from Steam the previous week. Needless to say, this was a huge blow for HORSES developer Santa Ragione, a small Italian development studio that suddenly found itself cut off from the two biggest PC game stores. Now, the controversy has reignited. In a recent interview with Game File that was mainly about the Epic Games Store's 2025 growth figures, Epic Games Store General [β¦]
Read full article at https://wccftech.com/epic-games-have-ghosted-us-says-santa-ragione-horses-ban/
Learn With Meko creates personalized learning paths and detailed lessons tailored to your goals. In seconds, its AI generates complete syllabi and schedules semester-length courses with progressive modules, study sessions, and milestone projects. You can track progress, learn at your own pace, and move from beginner to expert across subjects from Python to guitar.
Well, everyone is concerned about what tech giants are doing when it comes to AI spending, but apparently, the NVIDIA CEO doesn't feel the investments are something 'surprising'. NVIDIA's Jensen Huang Calls the AI CapEX Bumps 'Sustainable', Rejecting the Overspending Claims The AI frenzy is evolving with aggressive momentum heading into 2026, as we have seen the first indication that the technology is approaching an 'inflection' point, following quarterly earnings from Amazon, Google, and Meta. It appears Big Tech is in a race to spend more on AI, which is why CapEx figures have grown to levels no one would've [β¦]
Read full article at https://wccftech.com/nvidias-ceo-isnt-worried-about-big-tech-splurging-660-billion-on-the-ai/
Verity Workspace is a dedicated writing tool for fiction authors who need more than just a word processor. It combines manuscript editing with deep world-building tools, allowing you to track characters, locations, factions, magic systems, and timelines all in one place.
Whether you're drafting a standalone novel or managing a multi-book series, Verity keeps your story bible organized and your creative vision consistent. Focus Mode strips away distractions, while features like the Continuity Tracker and Relationship Network ensure nothing slips through the cracks as your world grows.
Google has rolled out version 50.0.23 of the Play Store, continuing its steady cadence of under-the-hood updates. As usual, this release focuses on stability and performance rather than flashy new features. You can check your current version under Settings > About in the Play Store app, and if you're behind, you can download the latest build right here.
Commissioned offers fine-tuning as a service, allowing you to turn your conversations, documents, or codebases into high-performing LLMs. Upload your data and it handles cleaning, formatting, and deduplication, then trains and deploys to providers like OpenAI, Gemini, or open source in minutes. A free tier lets you start without infrastructure or ML expertise, reducing integration work and avoiding vendor-specific data formats.
If you want to risk frying your GPU, you may try the newly leaked 1000 Watt BIOS, specifically designed for the MSI RTX 5090 Lightning Z. RTX 5090 Lightning Z 1000W BIOS Uploaded on Techpowerup Database, Allowing Users to Flash it on Different RTX 5090 Models from Non-MSI Vendors If the 800W leaked BIOS wasn't enough, users can now download the 1000W BIOS file from TechPowerUp for their GeForce RTX 5090 GPU. NVIDIA RTX 5090, which is usually capped at 600W, can now pull significantly higher power using the latest BIOSes, which are specifically made for the latest MSI GeForce [β¦]
Read full article at https://wccftech.com/msi-rtx-5090-lightning-z-800-and-1000-watt-bioses-leaked/
That Apple is able to leverage its heft and the resulting economies of scale to negotiate a fairly reasonable price point for the iPhone batteries won't give anyone a pause in this day and age. However, Apple's phenomenal margins on battery replacements likely will. A 5,088mAh battery that powers the iPhone 17 Pro Max reportedly costs Apple just $12 In an X post discussing the de-merits of silicon-carbon batteries, the tipster SchrΓΆdinger has shared a valuable nugget of information: the 5,088mAh battery that powers the iPhone 17 Pro Max costs Apple $12, while a 6,000mAh silicon-carbon battery typically costs $18, [β¦]
Read full article at https://wccftech.com/the-battery-within-the-iphone-17-pro-max-costs-just-12-yet-apple-charges-119-to-replace-it/
Connect4Patients helps patients and caregivers stay informed, connected, and confident in every decision by making health information simpler, smarter, and easier to access.
OneScan lets you scan any product barcode and instantly compare prices across Amazon, Walmart, Best Buy, eBay, and Kroger. You receive real-time price updates, deal alerts, and curated daily deals so you always buy at the best price. Track your scan history and price trends, then jump to the cheapest retailer with a tap to save time and money on every purchase.
OpenAI is chomping at the proverbial bit to bring its first consumer AI device, bearing the internal codename Sweetpea, to the market by the second half of 2026. However, the device is now expected to chronically underdeliver on its promised potential, if the latest tidbit from a source pans out. OpenAI's Sweetpea, which will reportedly go on sale under the consumer name Dime, is already falling victim to the ongoing memory crisis While speaking at the Axios House Davos event of this year's World Economic Forum, OpenAI's Lehane chose to disclose that the startup's first consumer AI device constituted one [β¦]
Read full article at https://wccftech.com/openais-sweetpea-earbuds-to-be-sold-under-the-consumer-name-dime-now-expected-to-chronically-underdeliver-on-the-hype/
Three SKUs from the Refresh lineup will have their reviews published officially next month, while the whereabouts of one SKU remain unknown. Intel Core Ultra 7 270K Plus and Core Ultra 5 250K/KF SKUs Review Embargo Reportedly Lifts on March 23; Core Ultra 9 290K Plus Reportedly Gets Cancelled Intel has yet to announce Arrow Lake Refresh CPUs, and despite seeing numerous leaks, we don't have a specific date from the company when we can expect these chips in the market. However, given that some motherboard vendors have started preparing their new BIOS updates to support Arrow Lake Refresh, including [β¦]
Read full article at https://wccftech.com/intel-arrow-lake-refresh-cpu-reviews-reportedly-goes-live-on-march-23/
Appleβs low-cost iPhone launch strategy lived on with the arrival of the iPhone 16e, with the company quickly moving to unveil the iPhone 17e, its immediate successor, in the coming weeks. Naturally, to save up on production costs as much as possible and in light of the DRAM shortage, there isnβt expected to be much of a cosmetic difference, but you might be interested in whatβs underneath the hood. Hereβs everything you need to know about the iPhone 17eβs launch, features, and specifications. Design and display A transition to the Dynamic Island instead of a notch is about the only [β¦]
Read full article at https://wccftech.com/roundup/apple-iphone-17e-launch-price-features-specifications-roundup/
WeryAI is a free all-in-one platform for generating videos, images, and music. It aggregates leading models like Kling, Google Veo, Sora, FLUX, and Wan AI in one dashboard, letting you switch styles and get high-quality results quickly. You can use text-to-video, image-to-video, and text-to-image, then refine your content with tools like face swap, lip sync, background removal, subtitle eraser, and 4K upscaler. Creators, marketers, and developers can animate photos, transfer motion, and export in HD or 4K without complex editing.
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mnf.ai is an AI screenwriting platform for writers and filmmakers to draft, refine, and pitch scripts. It co-writes with you while preserving your voice, formats to industry standards, and offers alternate takes, character notes, genre awareness, mood matching, conflict builders, and inline edits. Collaborate in real time with teams, translate scripts for global festivals, and auto-generate pitch decks. Protect authorship with blockchain-backed attribution and monetize finished work through its creators marketplace.
hybrED.ai is an AI-powered tutoring platform that transforms how students use artificial intelligence. Instead of providing answers like ChatGPT, hybrED uses the Socratic Method to guide students through problems step by step, promoting real understanding instead of digital dependence. It supports K-12 students across all subjects with features such as homework camera scanning, gamified learning, and multi-LLM intelligence. Parents stay informed with built-in safety monitoring and progress alerts, while educators receive a tool that reinforces classroom teachings.
On episode 340 of PPC Live The Podcast, I speak toΒ Amanda Farley, CMO of Aimclear and a multi-award-winning marketing leader, brings a mix of honesty and expertise to the PPC Live conversation. A self-described T-shaped marketer, she combines deep PPC knowledge with broad experience across social, programmatic, PR, and integrated strategy. Her journey β from owning an gallery and tattoo studio to leading award-winning global campaigns β reflects a career built on curiosity, resilience, and continuous learning.
Amanda once ran an gallery and tattoo parlor while believing she wasnβt an artist herself. Surrounded by creatives, she eventually realized her only barrier was a limiting belief. After embracing painting, she created hundreds of artworks and discovered a powerful outlet for expression.
This mindset shift mirrors marketing growth. Success isnβt just technical β itβs mental. By challenging internal doubts, marketers can unlock new skills and opportunities.
Amanda recalls a global campaign where tracking infrastructure failed across every channel mid-flight. Pixels broke, data vanished, and campaigns were running blind. Multiple siloed teams and a third-party vendor slowed resolution while budgets continued to spend.
Instead of assigning blame, Amanda focused on collaboration. Her team helped rebuild tracking and uncovered deeper data architecture issues. The crisis led to stronger onboarding processes, earlier validation checks, and clearer expectations around data hygiene. In modern PPC, clean infrastructure is essential for machine learning success.
Many account audits reveal the same problem: neglected fundamentals. Basic settings errors and poorly maintained audience data often hurt performance before strategy even begins.
Outdated lists and disconnected data systems weaken automation. In an machine-learning environment, strong data hygiene ensures campaigns have the quality signals they need to perform.
Amandaβs background in psychology and SEO shaped her integrated approach. PPC touches landing pages, user experience, and sales processes. When conversions drop, the issue may lie outside the ad account.
Understanding the full customer journey allows marketers to diagnose problems holistically. For Amanda, integration is a practical necessity, not a buzzword.
While AI dominates industry conversations, Amanda stresses balance. Some tools are promising, but not all are ready for full deployment. Testing is essential, but human oversight remains critical.
Machines optimize patterns, but humans judge emotion, messaging, and brand fit. Marketers who study changing customer journeys can also find new opportunities to intercept audiences across channels.
Amanda believes leaders act as emotional barometers. Calm investigation beats reactive blame when issues arise. Many PPC problems stem from external changes, not individual failure.
By acknowledging stress and focusing on solutions, leaders create psychological safety. This environment encourages experimentation and turns mistakes into learning opportunities.
Marketing is entering another experimental era with no clear rulebook. Amanda encourages teams to dedicate budget to testing and lean on professional communities for insight.
Not every experiment will succeed, but each provides data that informs smarter future decisions.
Amanda describes her career as If the Tasmanian Devil Could Do Yoga β a blend of fast-paced chaos and intentional calm. It reflects modern marketing: demanding, unpredictable, and balanced by thoughtful leadership.
WorkPage delivers real-time alignment monitoring for product teams and AI agents. It surfaces miscommunication and spec mismatches, alerts you before rework, and shows who needs to sync to keep delivery moving. Connect Figma, Jira, Slack, Confluence, GitHub, Notion, and Linear to gain operational intelligence across your lifecycle. Track multi-project alignment, enforce specification compliance, and analyze ROI trends while reducing meetings and context switching.
Lifestylo is an AI-powered life journal that turns your notes, activities, and vital signs into a coherent story. It chats with you, tracks your mood and routines, and surfaces patterns that shape your wellbeing. Use Oracle, its adaptive companion, to set goals, build habits, and get tailored advice. Reflect on past entries, make sense of the present, and act on insights to create a happier, more balanced life.
Apple compromised on its principles by partnering with Taboola, a veritable fount of scammy and untrustworthy ads, and Apple's consumers are now having to contend with the result: a deluge of shoddy advertisements on Apple News. Apple News ads appear to be deteriorating by the day in terms of quality The veteran tech journalist, Kirk McElhearn, has just penned an interesting post, titled "I Now Assume that All Ads on Apple News Are Scams." For the benefit of those who might not be aware, Apple struck a deal with Taboola, one of the largest ad-tech companies in the world, back [β¦]
Read full article at https://wccftech.com/apples-partnership-with-taboola-is-resulting-in-atrociously-scammy-ads-on-apple-news/
Investors Email helps founders book investor meetings through managed cold email outreach that protects your domain reputation. It provides pre-warmed sending domains, an AI-matched database of over 200,000 verified VCs and angels, and personalized messages at scale. The platform handles warmup, scheduling, deliverability, and bounce filtering, then forwards real investor replies to your inbox so you can continue from your own domain, with analytics on opens, clicks, and replies.
Apple continues to keep us in suspense as the M5 Pro and M5 Max launches remain in limbo, with the only concrete details available to us being that these chipsets will arrive in the first half of 2026. Recently, evidence of only the M5 Max and M5 Ultra was referenced in iOS 26.3 Beta, with the M5 Pro strangely missing. This led us to believe that Apple may add it later in the code, but one YouTuber had an βEurekaβ moment when he said that the βmiddle of the packβ SoC is just another rebranded M5 Max that utilizes the [β¦]
Read full article at https://wccftech.com/m5-pro-is-a-rebranded-m5-max-thanks-to-tsmc-2-5d-chip-design-says-youtuber/
Google shares an update on its work and suggestions for how policymakers can help everyone be more secure in the Quantum Era.
Google updated its "Get on Discover" docs, adding page experience guidance and naming clickbait and sensationalism, alongside the February Discover update.
The post Google Revises Discover Guidelines Alongside Core Update appeared first on Search Engine Journal.
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)
PPC Specialist, BrixxMedia (Remote)
Performance Marketing Manager, Mailgun, Sinch (Remote)
Paid Search Director, Grey Matter Recruitment (Remote)
SEO and AI Search Optimization Manager, Big Think Capital (New York)
Senior Copywriter, Viking (Hybrid, Los Angeles Metropolitan Area)
Digital Marketing Manager, DEPLOY (Hybrid, Tuscaloosa, AL)
Paid Search Marketing Manager, LawnStarter (Remote)
Senior Manager, SEO, Turo (Hybrid, San Francisco, CA)
SEM (Search Engine Marketing) Manager, Tribute Technology (Remote)
Search Engine Optimization Manager, Robert Half (Hybrid, Boston MA)
Search Engine Op imization Manager, NoGood (Remote)
Senior Content Manager, TrustedTech (Irvine, CA)
Note: We update this post weekly. So make sure to bookmark this page and check back.
Google is rolling out a beta feature that lets advertisers run structured A/B tests on creative assets within a single Performance Max asset group. Advertisers can split traffic between two asset sets and measure performance in a controlled experiment.
Why we care. Creative testing inside Performance Max has mostly relied on guesswork. Googleβs new native A/B asset experiments bring controlled testing directly into PMax β without spinning up separate campaigns.
How it works. Advertisers choose one Performance Max campaign and asset group, then define a control asset set (existing creatives) and a treatment set (new alternatives). Shared assets can run across both versions. After setting a traffic split β such as 50/50 β the experiment runs for several weeks before advertisers apply the winning assets.
Why this helps. Running tests inside the same asset group isolates creative impact and reduces noise from structural campaign changes. The controlled split gives clearer reporting and helps teams make rollout decisions based on performance data rather than assumptions.
Early lessons. Initial testing suggests short experiments β especially under three weeks β often produce unstable results, particularly in lower-volume accounts. Longer runs and avoiding simultaneous campaign changes improve reliability.
Bottom line. Performance Max is becoming more testable. Advertisers can now validate creative decisions with built-in experiments instead of relying on trial and error.
First seen. Google Ads expert spotted the update and shared his view on LinkedIn.
Rufus remains one of the easiest and most reliable ways to create bootable USB drives. The tool now does a better job cleaning up partitions before formatting, improves SSD detection with long IDs, and includes several important bug fixes. Longtime users continue to praise Rufus for being fast and lightweight.
AffordWhere helps you plan an international move with real numbers. Enter your salary to see take-home pay after taxes, neighborhood-level rents from real listings, and a full cost-of-living breakdown. You can explore visa requirements, healthcare systems, first-month costs, cultural insights, and job market data across 85+ cities in 32 countries. It is free to use with no sign-up requiredβcalculations run on-device and data updates monthly.
Linkflare helps you save, enrich, and organize anything you find online. It makes bookmarks into living entries with metadata for articles, recipes, movies, products, places, and more and offers distraction-free and offline reading. You can import existing bookmarks, subscribe to RSS feeds, share collections, and automate organization with tags, rules, and saved searches. Your data stays private in EU hosting, with an exportable Vault that preserves copies if sources disappear.
Isabela Merced, who you'll recognize as Dina from HBO's The Last of Us and Hawkgirl in James Gunn's recent Superman film, has been chosen to star in SEGA's upcoming film adaptation of its classic zombie franchise, The House of the Dead. Confirmed in a report from Deadline, Merced will lead the adaptation, which is set to be written and directed by Paul W.S. Anderson, who is right at home in a gore-filled zombie world, as he's arguably most known for directing the Resident Evil films that star Milla Jovovich (who also happens to be his wife). The report adds that [β¦]
Read full article at https://wccftech.com/isabela-merced-star-sega-the-house-of-the-dead-film-adaptation/
The Galaxy Ring has remained a subject of consternation for Samsung ever since a user's device swelled up on his finger just before he boarded a flight. Now, another Galaxy Ring has swelled up over a period of time, but here the South Korean behemoth does not appear to be at fault. A Galaxy Ring owner complains of the device's battery swelling up discreetly months after it became defunct A Redditor who goes by the username u/MaybeNotThrowing recently detailed his harrowing Galaxy Ring experience, one that could have resulted in an injury. Basically, our protagonist purchased the Galaxy Ring as [β¦]
Read full article at https://wccftech.com/a-samsung-galaxy-rings-long-dead-battery-swells-up-discreetly-and-turns-into-a-ticking-time-bomb/
At $599, no other computer matches the performance and value offered by the M4 Mac mini, which is why this compact, but exceptionally powerful computer has quickly become a favorite for customers who want to run localized AI agents to simplify their daily tasks. Unfortunately, a surge in orders has created a shortage of this hardware, which will be disappointing given its price hasnβt been affected by the DRAM crisis. The M4 Mac miniβs biggest strength is its architecture, with its tight integration allowing you to run the AI chatbot Maltbot, whereas on other machines, performance bottlenecks would exist We [β¦]
Read full article at https://wccftech.com/m4-mac-mini-shortage-due-to-installing-ai-agent/
In what might appear counterintuitive to most people, Apple TV does not actually let you own the movies that you've bought, with most purchases remaining locked to a given region, as illustrated by a Redditor's recent plight. Apple TV's content licensing policies leave much to be desired A Redditor who goes by the username u/AlpacAKEK recently penned an interesting post, explaining the pitfalls associated with purchasing movies from Apple TV. The user maintained a "small movie library" populated with titles purchased from the Apple TV. However, the Redditor lost access to all but three movies upon changing his Apple ID [β¦]
Read full article at https://wccftech.com/apple-tv-just-gave-a-redditor-the-shock-of-his-life-after-he-changed-his-apple-id-region/
Google Ads rolled out a new data source diagnostics feature in Data Manager that lets advertisers track the health of their data connections. The tool flags problems with offline conversions, CRM imports, and tagging mismatches.
How it works. A centralized dashboard assigns clear connection status labels β Excellent, Good, Needs attention, or Urgent β and surfaces actionable alerts. Advertisers can spot issues like refused credentials, formatting errors, and failed imports, alongside a run history that shows recent sync attempts and error counts.
Why we care. When conversion data breaks, campaign optimization breaks with it. Even small connection failures can quietly skew conversion tracking and weaken automated bidding. This diagnostic tool helps teams catch and fix issues early, protecting performance and reporting accuracy. If you rely on CRM imports or offline conversions, this provides a much-needed safety net.
Who benefits most. The feature is especially useful for advertisers running complex conversion pipelines, including Salesforce integrations and offline attribution setups, where small disruptions can quickly cascade into bidding and reporting issues.
The bigger picture. As automated bidding leans more heavily on accurate first-party data, visibility into data pipelines is becoming just as critical as campaign settings themselves.
Bottom line. Google Ads is giving advertisers an early warning system for data failures, helping teams fix broken connections before performance takes a hit.
First seen. The update was first spotted by digital marketer Georgi Zayakov, who shared the new option on LinkedIn.
Performance Max has come a long way since its rocky launch. Many advertisers once dismissed it as a half-baked product, but Google has spent the past 18 months fixing real issues around transparency and control. If you wrote Performance Max off before, itβs time to take another look.
Mike Ryan, head of ecommerce insights at Smarter Ecommerce, explained why at the latest SMX Next.
Performance Max traces its roots to Smart Shopping campaigns, which Google rolled out with red carpet fanfare at Google Marketing Live in 2019.
Even then, industry experts warned that transparency and control would become serious issues. They were right β and only now has Google begun to address those concerns openly.
Smart Shopping marked the low point of black-box advertising in Google Ads, at least for ecommerce. It stripped away nearly every control advertisers relied on in Standard Shopping:
Over the past 18 months, Performance Max has brought most of that functionality back, either partially or in full.
Search terms are a core signal for understanding the traffic youβre actually buying. In Performance Max, most spend typically flows to the search network, which makes search term reporting essential for meaningful optimization.
Google even introduced a Performance Max match type β something few of us ever expected to see. Thatβs a big deal. It delivers properly reportable data that works with the API, should be scriptable, and finally includes cost and time dimensions that were completely missing before.
Googleβs first move to crack open the black box was search term insights. These insights group queries into search categories β essentially prebuilt n-grams β that roll up data at a mid-level and automatically account for typos, misspellings, and variants.
The problem? The metrics are thin. Thereβs no cost data, which means no CPC, no ROAS, and no real way to evaluate performance.
The real breakthrough is the new campaign-level search term view, now available in both the API and the UI.
Historically, search term reporting lived at the ad group level. Since Performance Max doesnβt use ad groups, that data had nowhere to go.
Google fixed this by anchoring search terms at the campaign level instead. The result is access to far more segments and metrics β and, finally, proper reporting we can actually use.
The main limitation: this data is available only at the search network level, without separating search from shopping. That means a single search term may reflect blended performance from both formats, rather than a clean view of how each one performed.
Search themes act as a form of positive targeting in Performance Max. You can evaluate how theyβre performing through the search term insights report, which includes a Source column showing whether traffic came from your URLs, your assets, or the search themes you provided.
By totaling conversion value and conversions, you can see whether your search themes are actually driving results β or just sitting idle.
Thereβs more good news ahead. Google appears to be working on bringing Dynamic Search Ads and AI Max reports into Performance Max. That would unlock visibility into headlines, landing pages, and the search terms triggering ads.
Negative keywords are now fully supported in Performance Max. At launch, Google capped campaigns at 100 negatives, offered no API access, and blocked negative keyword listsβclearly positioning the feature for brand safety, not performance.
Thatβs changed. Negative keywords now work with the API, support shared lists, and give advertisers real control over performance.
These negatives apply across the entire search network, including both search and shopping. Brand exclusions are the exception β you can choose to apply those only to search campaigns if needed.
Performance Max doesnβt separate brand from generic traffic, and it often favors brand queries because theyβre high intent and tend to perform well. Brand exclusions exist, but they can be leaky, with some brand traffic still slipping through. If you need strict control, negative keywords are the more reliable option.
Also, Performance Max β and AI Max β may aggressively bid on competitor terms. That makes brand and competitor exclusions important tools for protecting spend and shaping intent.
Hereβs a simple heuristic for spotting search terms that need attention:
Those terms have had a fair chance to perform and didnβt. Theyβre strong candidates for negative keywords.
That said, donβt overcorrect.
Long-tail dynamics mean a search term that doesnβt convert this month may matter next month. Youβre also working with a finite set of negative keywords, so use them deliberately and prioritize the highest-impact exclusions.
Itβs not 2018 anymore β you shouldnβt spend hours manually reviewing search terms. Automate the work instead.
Use the API for high-volume accounts, scripts for medium volume, and automated reports from the Report Editor for smaller accounts (though it still doesnβt support Performance Max).
Layer in AI for semantic review to flag irrelevant terms based on meaning and intent, then step in only for final approval. Search term reporting can be tedious, but with Googleβs prebuilt n-grams and modern AI tools, thereβs a smarter way to handle it.
The channel performance report β not just for Performance Max β breaks performance out by network, including Discover, Display, Gmail, and more. Itβs useful for channel visibility and understanding view-through versus click-through conversions, as well as how feed-based delivery compares to asset-driven performance.
The report includes a Sankey diagram, but it isnβt especially intuitive. The labeling is confusing and takes some decoding:
Google also announced that Search Partner Network data is coming, which should add another layer of useful performance visibility.
Unlike Demand Gen, where you can choose exactly which channels to run on, Performance Max doesnβt give you that control. You can try to influence the channel mix through your ROAS target and budget, but itβs a blunt instrument β and a slippery one at best.
The strongest control you have is excluding specific placements. Placement data is now available through the API β limited to impressions and date segments β and can also be reviewed in the Report Editor. Use this data alongside the content suitability view to spot questionable domains and spammy placements.
For YouTube, pay close attention to political and childrenβs content. If a placement feels irrelevant or unsafe for your brand, thereβs a good chance it isnβt driving meaningful performance either.
If you run into YouTube videos in languages you donβt speak, use Google Sheetsβ built-in GOOGLETRANSLATE function. Itβs faster and more reliable than AI for quick translation.
You can also use AI-powered formulas in Sheets to do semantic triage on placements, not just search terms. These tools are just formulas, which means this kind of analysis is accessible to anyone.
Unfortunately, thereβs no way to opt out of the Search Partner Network in Performance Max. You can exclude individual search partners, but there are limits.
Prioritize exclusions based on how questionable the placement looks and how much volume itβs receiving. Also note that Google-owned properties like YouTube and Gmail canβt be excluded.
Based on Standard Shopping data, the Search Partner Network consistently performs meaningfully worse than the Google Search Network. Excluding poor performers is recommended.
Creating a device report is easy β just add device as a segment in the βwhen and where ads showedβ view. The tricky part is making decisions.
For deeper insight, dig into item-level performance in the Report Editor. Add device as a segment alongside item ID and product titles to see how individual products behave across devices. Also, compare competitor performance by device β you may spot meaningful differences that inform your strategy.
For example, you may perform far better on desktop than on mobile compared to competitors like Amazon, signaling either an opportunity or a risk.
Device targeting is available in Performance Max and is easy to use, much like channel targeting in Demand Gen. But when you split campaigns by device, you also split your conversion data and volumeβand that can hurt results.
Before you separate campaigns by device, consider:
Performance Max performs best with more data. Campaigns with low monthly conversion volume often miss their targets and rarely stay on pace. As more data flows through a campaign, Performance Max gets better at hitting goals and less likely to fall short.
Any gains from splitting by device can disappear if the algorithm doesnβt have enough data to learn. Only split when both resulting campaigns have enough volume to support effective machine learning.
Performance Max has changed dramatically since launch. With search term reporting, negative keywords, channel visibility, placement controls, and device targeting now available, advertisers have far more transparency and control than ever before.
Itβs still not perfect β channel targeting limits and data fragmentation remain β but Performance Max is fundamentally different and far more manageable.
Success comes down to knowing what data you have, how to access it efficiently using modern tools like AI and automation, and when to apply controls based on performance insights and data volume needs.
MindsEye was the worst game of 2025 by Metacritic's standards. While developer Build a Rocket Boy has made significant strides to work on and improve the game, including a major update that was released earlier this week, the studio's co-chief executive officer, Mark Gerhard, reportedly believes the game's issues stem from more than just Build a Rocket Boy (BaRB) failing to deliver a solid product. In a new report from Insider-Gaming, the studio claims to have obtained evidence of a "coordinated campaign to purposefully and maliciously damage Build a Rocket Boy's reputation and undermine confidence in MindsEye. We are working [β¦]
Read full article at https://wccftech.com/mindseye-developer-claims-it-has-evidence-of-a-1-1m-coordinated-campaign-to-sabotage-its-reputation/
Clair Obscur: Expedition 33 is a role-playing game that has already become legendary, less than one year after its release. Sweeping multiple Game of the Year awards in recognition of its narrative and gameplay achievements, the game developed by French development studio Sandfall Interactive is set to have a lasting influence on the RPG genre as a whole, and it's safe to bet the first Clair Obscur-like game won't take too long to see the light of day. These awards, however, may be nothing compared to the high cultural honor Sandfall Interactive has now received. As reported on the game's [β¦]
Read full article at https://wccftech.com/an-exceptional-decoration-for-an-exceptional-success-clair-obscur-expedition-33-devs-receive-frances-highest-cultural-honor/
Nioh 3 is officially out, and it only took the game three hours (one for every Nioh game) for it to become the most-played Nioh game on Steam ever. After going live at 05:00 UTC, with 22K+ jumping in right away, per SteamDB, it had already surpassed its predecessors' concurrent player counts just three hours later. The first Nioh game peaked on Steam at 10,649 concurrent players, meaning that Nioh 3 had more than doubled the first game's peak concurrent player count right from the start. Nioh 2's peak concurrent player count currently sits at 41,325 players, which Nioh 3 [β¦]
Read full article at https://wccftech.com/nioh-3-is-here-and-in-just-3-hours-it-became-the-most-played-nioh-game-on-steam/
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The most powerful GeForce RTX 5090 ever produced will cost over $5000, and users have to particitipate into lottery to win the chance to "purchase" the card. MSI Announces One-Day Lottery Event for GeForce RTX 5090 32G Lightning Z, The Enthusiast-Grade RTX 5090 Rated At Up To 2500W Since the unveiling of the card at CES, we have been wondering how much it costs. The answer is out, and as expected, it costs more than what we expected. The MSI GeForce RTX 5090 32G Lightning Z is probably the most insane RTX 5090 ever produced, and with a max TDP [β¦]
Read full article at https://wccftech.com/msi-taiwan-confirms-5200-price-tag-for-geforce-rtx-5090-lightning-z-in-a-lottery-event/
It might be difficult to imagine that increased sales of Nintendo's latest hybrid console, the Nintendo Switch 2, in any region, let alone its home base of Japan, would actually hurt the console's profitability. But that's exactly what's happening, according to Nintendo president Shuntaro Furukawa. In the company's official translation of its Q&A section from its third-quarter financial report, Furukawa confirmed that the "better-than-projected" sales of the Nintendo Switch 2 in Japan will negatively impact the Switch 2's operating and gross profit. How is that the case? Because the parts Nintendo uses to manufacture the Nintendo Switch 2 are purchased [β¦]
Read full article at https://wccftech.com/nintendo-switch-2-profitability-hurt-by-better-than-projected-switch-2-japan-sales/
Remember when renowned game writer and designer Chris Avellone stood on the stage of Xbox's E3 2018 showcase to unveil Dying Light 2 and its choice and consequence system? That was the main way developer Techland signaled the shift from the first game's action-adventure genre to an action RPG. Avellone is famous for having written and/or designed some of the best Western RPGs, including Fallout 2, Planescape: Torment, Icewind Dale, Star Wars: Knights of the Old Republic II, Neverwinter Nights 2, Fallout: New Vegas, Pillars of Eternity, Tyranny, and Torment: Tides of Numenera. The goal was to create a narrative [β¦]
Read full article at https://wccftech.com/dying-light-2-didnt-feature-my-designs-i-wouldnt-work-with-techland-again-chris-avellone/
This is perhaps one of the wildest damage we have seen so far on the RTX 40 series GPUs, but the user is unsure whether MSI will honor the warranty Redditor Reports a Massive Power Short in the VRM Section that Left the RTX 4080 Super With a Hole in the PCB We've all seen a horrible 16-pin power connector burn on GPUs, and even a capacitor pop on GPUs, but this failure seems so insane that it literally blew a hole in the PCB. Redditor u/TwistedCollossus reports that his RTX 4080 Super card died due to a short circuit. [β¦]
Read full article at https://wccftech.com/short-circuit-so-severe-that-it-burned-a-hole-through-geforce-rtx-4080-s-pcb/
Ori developer Moon Studios took a big swing with No Rest for the Wicked, choosing to make something outside of its 2D platforming comfort zone and instead direct its talents into making an action RPG. After its initial early access launch in May 2024, it was clear that the game had a lot of unrealized potential, and the time to realize that potential as an early access game. Now, over a year and a half later, during which the game has seen more than a few significant updates, the most recent being a co-op update that went live last month, [β¦]
Read full article at https://wccftech.com/moon-studios-arpg-no-rest-for-the-wicked-hits-1-5m-copies-sold-two-weeks-after-hitting-1m/
With just around two weeks until Samsung officially unveils its Galaxy S26 series, we are now getting extremely detailed renders of the Galaxy S26 Ultra, those too in the stunning cobalt violet color. Samsung's Galaxy S26 Ultra looks stunning in the cobalt violet color The famous tipster, Evan Blass, first leaked these renders earlier today. However, Samsung soon forced him to take down those images. Fortunately for us, Android Headlines was still able to publish these stunning renders of the Galaxy S26 Ultra. As we noted recently in a dedicated post, the Galaxy S26 Ultra is expected to sport a [β¦]
Read full article at https://wccftech.com/behold-the-stunning-cobalt-violet-samsung-galaxy-s26-ultra/
Traditional ranking performance no longer guarantees that content can be surfaced or reused by AI systems. A page can rank well, satisfy search intent, and follow established SEO best practices, yet still fail to appear in AI-generated answers or citations.Β
In most cases, the issue isnβt content quality. Itβs that the information canβt reliably be extracted once itβs parsed, segmented, and embedded by AI retrieval systems.
This is an increasingly common challenge in AI search. Search engines evaluate pages as complete documents and can compensate for structural ambiguity through link context, historical performance, and other ranking signals.Β
AI systems donβt.Β
They operate on raw HTML, convert sections of content into embeddings, and retrieve meaning at the fragment level rather than the page level.
When key information is buried, inconsistently structured, or dependent on rendering or inference, it may rank successfully while producing weak or incomplete embeddings.Β
At that point, visibility in search and visibility in AI diverges. The page exists in the index, but its meaning doesnβt survive retrieval.
Traditional search operates on a ranking system that selects pages. Google can evaluate a URL using a broad set of signals β content quality, E-E-A-T proxies, link authority, historical performance, and query satisfaction β and reward that page even when its underlying structure is imperfect.
AI systems often operate on a different representation of the same content. Before information can be reused in a generated response, itβs extracted from the page, segmented, and converted into embeddings. Retrieval doesnβt select pages β it selects fragments of meaning that appear relevant and reliable in vector space.
This difference is where the visibility gap forms.Β
A page may perform well in rankings while the embedded representation of its content is incomplete, noisy, or semantically weak due to structure, rendering, or unclear entity definition.
Retrieval should be treated as a separate visibility layer. Itβs not a ranking factor, and it doesnβt replace SEO. But it increasingly determines whether content can be surfaced, summarized, or cited once AI systems sit between users and traditional search results.
Dig deeper: What is GEO (generative engine optimization)?
One of the most common AI retrieval failures happens before content is ever evaluated for meaning. Many AI crawlers parse raw HTML only. They donβt execute JavaScript, wait for hydration, or render client-side content after the initial response.
This creates a structural blind spot for modern websites built around JavaScript-heavy frameworks. Core content can be visible to users and even indexable by Google, while remaining invisible to AI systems that rely on the initial HTML payload to generate embeddings.
In these cases, ranking performance becomes irrelevant. If content never embeds, it canβt be retrieved.
The simplest way to test whether content is available to AI crawlers is to inspect the initial HTML response, not the rendered page in a browser.
Using a basic curl request allows you to see exactly what a crawler receives at fetch time. If the primary content doesnβt appear in the response body, it wonβt be embedded by systems that donβt execute JavaScript.
To do this, open your CMD (or Command Prompt) and enter the following prompt:Β
Running a request with an AI user agent (like βGPTBotβ) often exposes this gap. Pages that appear fully populated to users can return nearly empty HTML when fetched directly.
From a retrieval standpoint, content that doesnβt appear in the initial response effectively doesnβt exist.
This can also be validated at scale using tools like Screaming Frog. Crawling with JavaScript rendering disabled surfaces the raw HTML delivered by the server.
If primary content only appears when JavaScript rendering is enabled, it may be indexable by Google while remaining invisible to AI retrieval systems.
Visibility issues donβt stop at βIs the content returned?β Even when content is technically present in the initial HTML, excessive markup, scripts, and framework noise can interfere with extraction.
AI crawlers donβt parse pages the way browsers do. They skim quickly, segment aggressively, and may truncate or deprioritize content buried deep within bloated HTML. The more code surrounding meaningful text, the harder it is for retrieval systems to isolate and embed that meaning cleanly.
This is why cleaner HTML matters. The clearer the signal-to-noise ratio, the stronger and more reliable the resulting embeddings. Heavy code does not just slow performance. It dilutes meaning.
The most reliable way to address rendering-related retrieval failures is to ensure that core content is delivered as fully rendered HTML at fetch time.Β
In practice, this can usually be achieved in one of two ways:Β
Pre-rendered HTML
Pre-rendering is the process of generating a fully rendered HTML version of a page ahead of time, so that when AI crawlers arrive, the content is already present in the initial response. No JavaScript execution is required, and no client-side hydration is needed for core content to be visible.
This ensures that primary information β value propositions, services, product details, and supporting context β is immediately accessible for extraction and embedding.
AI systems donβt wait for content to load, and they donβt resolve delays caused by script execution. If meaning isnβt present at fetch time, itβs skipped.
The most effective way to deliver pre-rendered HTML is at the edge layer. The edge is a globally distributed network that sits between the requester and the origin server. Every request reaches the edge first, making it the fastest and most reliable point to serve pre-rendered content.
When pre-rendered HTML is delivered from the edge, AI crawlers receive a complete, readable version of the page instantly. Human users can still be served the fully dynamic experience intended for interaction and conversion.Β
This approach doesnβt require sacrificing UX in favor of AI visibility. It simply delivers the appropriate version of content based on how itβs being accessed.
From a retrieval standpoint, this tactic removes guesswork, delays, and structural risk. The crawler sees real content immediately, and embeddings are generated from a clean, complete representation of meaning.
Clean initial content delivery
Pre-rendering isnβt always feasible, particularly for complex applications or legacy architectures. In those cases, the priority shifts to ensuring that essential content is available in the initial HTML response and delivered as cleanly as possible.
Even when content technically exists at fetch time, excessive markup, script-heavy scaffolding, and deeply nested DOM structures can interfere with extraction. AI systems segment content aggressively and may truncate or deprioritize text buried within bloated HTML.Β
Reducing noise around primary content improves signal isolation and results in stronger, more reliable embeddings.
From a visibility standpoint, the impact is asymmetric. As rendering complexity increases, SEO may lose efficiency. Retrieval loses existence altogether.Β
These approaches donβt replace SEO fundamentals, but they restore the baseline requirement for AI visibility: content that can be seen, extracted, and embedded in the first place.
Many pages fail AI retrieval not because content is missing, but because meaning is underspecified. Traditional SEO has long relied on keywords as proxies for relevance.
While that approach can support rankings, it doesnβt guarantee that content will embed clearly or consistently.
AI systems donβt retrieve keywords. They retrieve entities and the relationships between them.
When language is vague, overgeneralized, or loosely defined, the resulting embeddings lack the specificity needed for confident reuse. T
he content may rank for a query, but its meaning remains ambiguous at the vector level.
This issue commonly appears in pages that rely on broad claims, generic descriptors, or assumed context.
Statements that perform well in search can still fail retrieval when they donβt clearly establish who or whatβs being discussed, where it applies, or why it matters.
Without explicit definition, entity signals weaken and associations fragment.
AI systems donβt consume content as complete pages.
Once extracted, sections are evaluated independently, often without the surrounding context that makes them coherent to a human reader. When structure is weak, meaning degrades quickly.
Strong content can underperform in AI retrieval, not because it lacks substance, but because its architecture doesnβt preserve meaning once the page is separated into parts.
Headers do more than organize content visually. They signal what a section represents. When heading hierarchy is inconsistent, vague, or driven by clever phrasing rather than clarity, sections lose definition once theyβre isolated from the page.
Entity-rich, descriptive headers provide immediate context. They establish what the section is about before the body text is evaluated, reducing ambiguity during extraction. Weak headers produce weak signals, even when the underlying content is solid.
Dig deeper: The most important HTML tags to use for SEO success
Sections that try to do too much embed poorly. Mixing multiple ideas, intents, or audiences into a single block of content blurs semantic boundaries and makes it harder for AI systems to determine what the section actually represents.
Clear sections with a single, well-defined purpose are more resilient. When meaning is explicit and contained, it survives separation. When it depends on what came before or after, it often doesnβt.
Even when content is visible, well-defined, and structurally sound, conflicting signals can still undermine AI retrieval. This typically appears as embedding noise β situations where multiple, slightly different representations of the same information compete during extraction.
Common sources include:
When multiple URLs expose highly similar content with inconsistent or competing canonical signals, AI systems may encounter and embed more than one version. Unlike Google, which reconciles canonicals at the index level, retrieval systems may not consolidate meaning across versions.Β
The result is semantic dilution, where meaning is spread across multiple weaker embeddings instead of reinforced in one.
Variations in titles, descriptions, or contextual signals across similar pages introduce ambiguity about what the content represents. These meta tag inconsistencies can lead to multiple, slightly different embeddings for the same topic, reducing confidence during retrieval and making the content less likely to be selected or cited.
Reused content blocks, even when only slightly modified, fragment meaning across pages or sections. Instead of reinforcing a single, strong representation, repeated content competes with itself, producing multiple partial embeddings that weaken overall retrieval strength.
Google is designed to reconcile these inconsistencies over time. AI retrieval systems arenβt. When signals conflict, meaning is averaged rather than resolved, resulting in diluted embeddings, lower confidence, and reduced reuse in AI-generated responses.
SEO has always been about visibility, but visibility is no longer a single condition.
Ranking determines whether content can be surfaced in search results. Retrieval determines whether that content can be extracted, interpreted, and reused or cited by AI systems. Both matter.
Optimizing for one without the other creates blind spots that traditional SEO metrics donβt reveal.
The visibility gap occurs when content ranks and performs well yet fails to appear in AI-generated answers because it canβt be accessed, parsed, or understood with sufficient confidence to be reused. In those cases, the issue is rarely relevance or authority. Itβs structural.
Complete visibility now requires more than competitive rankings. Content must be reachable, explicit, and durable once itβs separated from the page and evaluated on its own terms. When meaning survives that process, retrieval follows.
Visibility today isnβt a choice between ranking or retrieval. It requires both β and structure is what makes that possible.
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Memory suppliers have dramatically changed the way DRAM contracts traditionally operate, according to a new report, with newer spot prices now being reflected in an 'interesting' way. DRAM Manufacturers Have Narrowed Agreement Timelines, Limiting It To Just a Few Weeks Well, across the industry,Β memory shortagesΒ have been discussed from the consumer perspective, but when it comes to players in the supply chain, the dynamics are quite different. It appears that in the era of a DRAM supply crunch, memory suppliers like Samsung, SK hynix, and Micron are all focused on one thing: maximizing profitability from their production lines. A report by [β¦]
Read full article at https://wccftech.com/memory-suppliers-are-taking-zero-chances-on-losing-in-a-dram-contract/
Despite numerous CPU failures, the Ryzen 7 9800X3D RMA rate is roughly on par with other Ryzen 9000 CPUs. Out of 40,000 Units Shipped on Mindfactory, Only 0.71% Ryzen 7 9800X3D Boxed CPUs Were RMA'd; Intel Core i9 14900K is Still One of the Most Failed CPUs AMD Ryzen 7 9800X3D failure reports have definitely caused some panic in the community, as we see users reporting dead CPUs very frequently. While AMD and its motherboard board partners have claimed that they have been investigating the failure issues, the 9800X3D isn't the only one that suffers from such failures. In fact, [β¦]
Read full article at https://wccftech.com/amd-ryzen-7-9800x3d-has-reportedly-one-of-the-lowest-rma-rates-in-ryzen-9000-7000-series/
PR measurement often breaks down in practice.
Limited budgets, no dedicated analytics staff, siloed teams, and competing priorities make it difficult to connect media outreach to real outcomes.
Thatβs where collaboration with SEO, PPC, and digital marketing teams becomes essential.
Working together, these teams can help PR do three things that are hard to accomplish alone:
This article lays out a practical way to do exactly that, without an enterprise budget or a data science team.
One of the biggest reasons PR measurement breaks down is the lingering assumption that communication follows a straight line: message β media β coverage β impact.
In reality, modern digital communication behaves more like a loop. Audiences discover content through search, social, AI-generated answers, and media coverage β often in unpredictable sequences. They move back and forth between channels before taking action, if they take action at all.
Thatβs why measurement must start by defining the response sought, not by counting outputs.
SEO and PPC professionals are already fluent in this way of thinking. Their work is judged not by impressions alone, but by what users do after exposure: search, click, subscribe, download, convert.
PR measurement becomes dramatically more actionable when it adopts the same mindset.
PR teams are often asked a frustrating question by executives: βThatβs great coverage β but what did it actually do?β
The answer usually exists in the data. Itβs just spread across systems owned by different teams.
SEO and paid media teams already track:
By integrating PR activity into this measurement ecosystem, teams can connect earned media to downstream behavior.
Practical examples
Tools like Google Analytics 4, Adobe Analytics, and Piwik PRO make this feasible β even for small teams β by allowing PR touchpoints to be analyzed alongside SEO and PPC data.
This reframes PR from a cost center to a demand-creation channel.
Matt Bailey, a digital marketing author, professor, and instructor, said:
Dig deeper: SEO vs. PPC vs. AI: The visibility dilemma
Most communications professionals now accept that SEO matters.Β
Whatβs less widely understood is how it should be measured in a PR context β and how that measurement is changing.
Traditional PR metrics focus on:
SEO-informed PR adds new outcome-level indicators:
These metrics answer a more strategic question: βDid this coverage improve our long-term discoverability?β
Enter GEO. As audiences shift from blue-link search results to conversational AI platforms, measurement must evolve again.
Generative engine optimization (also called answer engine optimization) focuses on whether your content becomes a source for AI-generated answers β not just a ranked result.
For PR and communications teams, this is a natural extension of credibility building:
Tools like Profound, the Semrush AI Visibility Toolkit, and Conductorβs AI Visibility Snapshot now provide early visibility into this emerging layer of search measurement.
The implication is clear: PR measurement is no longer just about visibility β itβs about influence over machine-mediated narratives.
David Meerman Scott, the best-selling author of βThe New Rules of Marketing and PR,β shared:
Dig deeper: A 90-day SEO playbook for AI-driven search visibility
One reason measurement feels overwhelming is tool overload. The solution isnβt more software β itβs better alignment between goals and tools.
A useful framework is to work backward from the action you want audiences to take.
If the response sought is awareness or understanding:
If the response sought is engagement or behavior:
If the response sought is long-term influence:
The key is resisting the temptation to measure everything. Measure what aligns with strategy β and ignore the rest.
Katie Delahaye Paine, the CEO of Paine Publishing, publisher of The Measurement Advisor, and βQueen of Measurement,β said:Β
Dig deeper: 7 hard truths about measuring AI visibility and GEO performance
PR teams donβt need to become SEO experts overnight. And SEO teams donβt need to master media relations.
Whatβs required is shared ownership of outcomes.
When these groups collaborate:
This reduces duplication, saves budget, and produces insights that no single team could generate alone.
Nearly 20 years ago, Avinash Kaushik proposed the 10/90 rule: spend 10% of your analytics budget on tools and 90% on people.
Today, tools are cheaper β or free β but the rule still holds.
The most valuable asset isnβt software. Itβs professionals who can:
Teams that begin experimenting now β especially with SEO-driven PR measurement and GEO β will have a measurable advantage.
Those who wait for βperfectβ frameworks or universal standards may find they need to explain why theyβre making a βcareer transitionβ or βexploring new opportunities.βΒ
Iβd rather learn how to effectively measure, evaluate, and report on my communications results than try to learn euphemisms for being a victim of rightsizing, restructuring, or a reduction in force.
Dig deeper: Why 2026 is the year the SEO silo breaks and cross-channel execution starts
The purpose of PR measurement isnβt to justify budgets after the fact. Itβs to make smarter decisions before the next campaign launches.
By integrating SEO and GEO into PR measurement programs, communications professionals can finally close the loop between media outreach and real-world impact β without abandoning the principles they already know.
The theory hasnβt changed.
The opportunity to measure what matters is finally catching up.
Thereβs a dangerous misconception in B2B marketing that video is just a βbrand awarenessβ play. We tend to bucket video into two extremes:
This binary thinking is breaking your pipeline.
In my role at LinkedIn, I have access to a unique view of the B2B buying ecosystem. What the data shows is that the most successful companies donβt treat video as a tactic for one stage of the funnel. They treat it as a multiplier.
When you integrate video strategy across the entire buying journey β connecting brand to demand β effectiveness multiplies, driving as many as 1.4x more leads.
Hereβs the strategic framework for building that system, backed by new data on how B2B buyers actually make decisions.
The window to influence a deal closes much earlier than most marketers realize.
LinkedInβs B2B Institute calls this the βfirst impression rose.β Like the reality TV show βThe Bachelor,β if you donβt get a rose in the first ceremony, youβre unlikely to make it to the finale.
Research from LinkedIn and Bain & Company found 86% of buyers already have their choices predetermined on βDay 1β of a buying cycle. Even more critically, 81% ultimately purchase from a vendor on that Day 1 list.
If your video strategy waits until the buyer is βin-marketβ or βready to buyβ to show up, youβre fighting over the remaining 19% of the market. To win, you need to be on the shortlist before the RFP is even written.
That requires a three-play strategy.
Most video strategies target the βchampion,β the person who uses the tool or service. But in B2B, the champion rarely holds the checkbook.
Consider this scenario. Youβve spent months courting the VP of marketing. They love your solution. Theyβre ready to sign.Β
But when they bring the contract to the procurement meeting, the CFO looks up and asks: βWho are they? Why havenβt I heard of them?β
In that moment, the deal stalls. Youβre suddenly competing on price because you have zero brand equity with the person controlling the budget.
Our data shows youβre more than 20 times more likely to be bought when the entire buying group β not just the user β knows you on Day 1.
To reach that broader group, you canβt just be present. You have to be memorable. You need reach and recall, both.
LinkedIn data reveals exactly what βcut-through creativeβ looks like in the feed:
Dig deeper: 5 tips to make your B2B content more human
This is where most B2B content fails. We focus on selling capability (features, specs, speeds, feeds) and rarely focus on buyability (how safe it is to buy us).
When a B2B buyer is shortlisting vendors, theyβre navigating career risk.Β
Our research with Bain & Company found the top five βemotional jobsβ a buyer needs to fulfill. Only two were about product capability.
The No. 1 emotional job (at 34%) was simply, βI felt I could defend the decision if it went wrong.β
To drive consideration, your video content shouldnβt be a feature dump. It should be a safety net. What does that actually look like?
Momentum is safety (the βbuzzβ effect)
Buyers want to bet on a winner. Our data shows brands generate 10% more leads when they build momentum through βbuzz.β
You can manufacture this buzz through cultural coding. When brands reference pop culture, we see a 41% lift in engagement.Β
When they leverage memes (yes, even in B2B), engagement can jump by 111%. It signals youβre relevant, human, and part of the current conversation.
Authority builds trust (the βexpertβ effect)
If momentum catches their eye, expertise wins their trust. But how you present that expertise matters.
Video ads featuring executive experts see 53% higher engagement.
When those experts are filmed on a conference stage, engagement lifts by 70%.
Why? The setting implies authority. It signals, βThis person is smart enough that other people paid to listen to them.β
Consistency is credibility
You canβt βburstβ your way to trust. Brands that maintain an always-on presence see 10% more conversions than those that stop and start. Trust is a cumulative metric.
Dig deeper: The future of B2B authority building in the AI search era
By this stage, the buyer knows you (Play 1) and trusts you (Play 2).Β
Donβt use your bottom-funnel video to βhard sellβ them. Use it to remove the friction of the next step.
Buyers at this stage feel three specific types of risk:
Thatβs why recommendations, relationships, and being relatable help close deals.
Your creative should directly answer those anxieties.
Scale social proof β kill execution risk
90% of buyers say social proof is influential information. But donβt just post a logo.Β
Use video to show the peer. When a buyer sees someone with their exact job title succeeding, decision risk evaporates.
Activate your employees β kill decision risk
People trust people more than logos. Startups that activate their employees see massive returns because it humanizes the brand.
The stat that surprises most leaders. Just 3% of employees posting regularly can drive 20% more leads, per LinkedIn data.Β
Show the humans whoβll answer the phone when things break.
The conversion combo β kill effort risk
Donβt leave them hanging with a generic βLearn Moreβ button.
We see 3x higher lead gen open rates when video ads are combined directly with lead gen forms.Β
The video explains the value, the form captures the intent instantly.
Dig deeper: LinkedInβs new playbook taps creators as the future of B2B marketing
If this strategy is so effective, why isnβt everyone doing it? The problem isnβt usually budget or talent. Itβs structure.
In most organizations, βbrandβ teams and βdemandβ teams operate in silos.Β
They fight over budget and rarely coordinate creative.
This fragmentation kills the multiplier effect.
When you break down those silos and run these plays as a single system, the data changes.
Our modeling shows an integrated strategy drives 1.4x more leads than running brand and demand in isolation.
It creates a flywheel:
The brands that balance the funnel β investing in memory and action β are the ones that make the βDay 1β list.
And the ones on that list are the ones that win the revenue.
Nevar is a GEO (Generative Engine Optimization) and verification platform that helps brands measure, verify, and improve their visibility in AI-generated answers from systems like ChatGPT and Perplexity. It tracks mentions and citations, surfaces high-value questions, and updates a strategy model weekly to raise inclusion rates.
Nevar integrates with WordPress to autoβoptimize content using MCP brand templates, manages AI crawler access, and supports multimodal brand validation. Teams use it to increase trustworthy AI references while reducing hallucinations
Late last year, it seemed like Half-Life 3, the third entry in the Valve series, was about to be announced. EveryΒ available indication, whether updates to the Source 2 engine or rumors from reliable insiders about a trailer in preparation, seemed to point to an imminent reveal before the end of 2025. However,Β 2025 has endedΒ without any confirmation of what the HLX project is, and the complete lack of information from the usual sources plunged the community intoΒ doom and gloom, with many starting to doubt the game really exists, or believing it was ultimately cancelled. While we still don't know if HLX [β¦]
Read full article at https://wccftech.com/stop-giving-us-hopium-that-turns-into-dispairium-rumored-half-life-3-development-continues-stoking-the-communitys-hopes-and-fears/
The 2nm GAA process was recently reported to have achieved yields of 50 percent, indicating that while there is room for improvement, Samsung can reach a stage where it can be in the same conversation as TSMC. As the latter faces production problems, the opportunity for the Korean foundry is ripe for the taking, as the latest report states that Samsung is eyeing a 130 percent bump in 2nm GAA orders. Tesla is already a notable customer for this technology, with the EV manufacturer previously said to have signed a $16.5 billion deal. Analysts predict that Samsungβs precise 130 percent [β¦]
Read full article at https://wccftech.com/samsung-eyeing-130-percent-growth-in-2nm-gaa-orders/
According to the French website Origami, Ubisoft has canceled a secret Assassin's Creed co-op game codenamed AC League. Origami, which has a solid track record, claims to have verified the information with six current Ubisoft employees before publishing the story. First and foremost, it should be clarified that this is not Assassin's Creed Invictus, the arcade Fall Guys-inspired PvP multiplayer game that was previously leaked to be in development. AC League was originally meant to be the rumored Assassin's Creed Shadows co-op mode, which later morphed into a standalone title. It was in development at Ubisoft Annecy, the studio that [β¦]
Read full article at https://wccftech.com/ac-league-co-op-assassins-creed-game-canceled/
In Dragon Quest VII Reimagined, your character level is only half the battle. To truly unlock the potential of your party, you need to master Vocations. While the game streamlines many aspects of the classic experience, it still doesn't explicitly list the precise Proficiency Points required to reach the next rank, leaving players to guess based on the progress bars in the menu. If youβre looking to master any Vocation as quickly as possible without turning the game into a tedious grind, Iβve conducted extensive testing to find the most time-efficient loops. Here is the best way to power up [β¦]
Read full article at https://wccftech.com/how-to/master-of-alltrades-how-to-farm-vocation-proficiency-quickly-in-dragon-quest-vii-reimagined/
Representatives from both the Google Search and Bing Search teams are recommending against creating separate markdown (.md) pages for LLM purposes. The purpose is to serve one piece of content to the LLM and another piece of content to your users, which technically may be considered a form of cloaking and against Googleβs policies.
The question. Lily Ray asked on Bluesky:
Googleβs response. John Mueller from Google responded saying:
Recently, John Mueller also called the idea stupid, saying:
I did collect a lot of John Muellerβs comments on this topic, over here.
Bingβs response. Fabrice Canel from Microsoft Bing responded saying:
Why we care. Some of us like to look for shortcuts to perform well on search engines and now the new AI search engines and LLMs. Generally, shortcuts, if they work, only work for a limited time. Plus, these shortcuts can have an unexpected negative effect.
As Lily Ray wrote on LinkedIn:
One of the biggest attractions of the upcoming Apple iPhone 17e was supposed to center around its adoption of the Dynamic Island. However, a new report now wants you to perish that thought, and abandon any similar design change hopes for the base iPad as well. Apple won't bring any design-related changes to the iPhone 17e and the base iPad According to a new report from MacOtakara, Apple will retain the existing design language for the iPhone 17e and the base iPad. Specifically, the report notes that Apple won't bring the Dynamic Island to the iPhone 17e, opting to retain [β¦]
Read full article at https://wccftech.com/abandon-your-hopes-of-a-design-change-for-the-apple-iphone-17e-and-the-base-ipad-claims-a-contrary-report/
In Dragon Quest VII Reimagined, the hunt for Metal Slimes remains the fastest way to grind experience points, but taking them down is no easy feat, as you can only hit them for 1 point of damage (when they don't dodge your attacks) and are as quick to run away from battle as ever before. While there are skills such as the Warrior's Metal Slash, which can deal more damage to Metal Slimes, these are not enough to guarantee their defeat every time you encounter one in battle. However, there is a secret in the AI logic of the Pirate [β¦]
Read full article at https://wccftech.com/how-to/master-of-alltrades-defeat-every-metal-slime-in-dragon-quest-vii-reimagined-easily-with-this-trick/
Dragon Quest VII Reimagined is the third version of the seventh entry in the series, which established Japanese role-playing games following the original PlayStation release and the first Nintendo 3DS remake. While the game roughly follows the same story beats, Dragon Quest VII Reimagined introduces many gameplay tweaks meant to make the experience more welcoming for all sorts of players while retaining most of the features that define a Dragon Quest experience. In this Complete Walkthrough and Guides Hub, you will find everything you need to make your journey to restore the world much more enjoyable. Overview Dragon Quest VII [β¦]
Read full article at https://wccftech.com/how-to/dragon-quest-vii-reimagined-complete-walkthrough-and-guides-hub/
Deadline reports that a Baldur's Gate 3 HBO series is now underway, withΒ Craig MazinΒ attached asΒ creator, writer, showrunner, and executive producer. Mazin is primarily known for his acclaimed work on the TV shows Chernobyl and The Last of Us, the latter of which is particularly relevant because it's also an adaptation of a game. Previously in his career, he also co-wrote the screenplays for movies like Scary Movie 3 and 4, The Hangover Part II and III, and The Huntsman: Winter's War. The big difference compared to the adaptation of Naughty Dog's The Last of Us is that the Baldur's Gate [β¦]
Read full article at https://wccftech.com/baldurs-gate-3-hbo-series-announced-craig-mazin-creating/
PitchMode helps founders train to craft and deliver a 60-second elevator pitch that hooks investors. It builds clarity and confidence so you can explain your product quickly and keep attention in investor meetings. Start for free and practice until your message sticks.
llmboost tracks how your brand appears across AI platforms like ChatGPT, Claude, Perplexity, and Gemini. It delivers visibility scores, sentiment and context analysis, and competitor benchmarks. The platform monitors mentions, flags risky or incorrect responses, and generates export-ready dashboards and automated reports.
Agencies and resellers can white-label the platform to manage multiple clients, set pricing, and control access from a single hub, while direct clients benefit from fast onboarding and clear plans.
Apple was previously reported to be making the iPhone 18 Pro Max thicker and heavier than any of its predecessors, but that would be out of sheer necessity because the latest rumor has shared the battery sizes for both the eSIM and non-eSIM versions of the flagship. In short, if you have any intentions of purchasing the iPhone 17 Pro Max, you might want to hold off on your upgrade and wait for the successor. Up to a 3.67 percent larger battery is rumored to be found on the iPhone 18 Pro Max, with Appleβs efficient A20 Pro SoC and [β¦]
Read full article at https://wccftech.com/iphone-18-pro-max-battery-capacity-for-esim-and-non-esim-versions-shared-by-tipster/
The AI frenzy is now coming for CPUs, as a new Reuters report says both Intel and AMD are struggling to meet enterprise demand, which has driven up prices. Server CPUs Are Now Under Immense Demand From Hyperscalers, Potentially Forcing Intel/AMD to Shift Away From Client Products The broader tech supply chain is currently under significant pressure, courtesy of the infrastructure buildout, as we have seen over the past few quarters, DRAM, NAND, and semiconductors are experiencing massive shortages. This has ultimately created an adverse impact not just on consumers alone, but also on manufacturers like Intel and AMD, as [β¦]
Read full article at https://wccftech.com/intel-and-amd-cpu-shortages-continue-to-worsen/
AI that runs your 1:1 onboarding calls
Capture twice the context in half the steps
Claude Code for GTM
Replace your marketing team with AI
Operate AI coworkers on a single enterprise platform
Open source, intelligent sidebar for MacOS
We Bombed 7 times, you shouldn't
Find customers who are literally asking for your product
Your AI assistant for federal higher education data
Allow clients to visually provide feedback without a login
Block ads and trackers in your Apple TV's streaming apps
Postman Alternative. Open source, git-native, zero login
The court of law for AI agents
Search every screenshot, text, and detail privately
Expanding Codex to the full spectrum of computer work
OpenAI agents that understand your business and boundaries
Consult a council of multiple frontier models at once
The fastest way to upload and share files from S3.
A million-pixel beach for AI agents β claim & animate pixels
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From deep analysis to premium slides, agentized
Give AI agents identity, secrets vault & analytics
Get paid when AI agents need someone in the real world.
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Π‘ollects your tasks from everywhere and keeps you focused
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WisprFlow for vibe coders w/ voice shortcuts
Turning Idle GPUs Into Enterprise AI Velocity
Claudeβs most advanced model for agentic tasks
Full bug context across all your tools for better debugging
DLSS 4.5 Dynamic Frame Generation will be released in βSpringβ At a recent event, an Nvidia representative reportedly stated that its DLSS Dynamic Frame Generation technology would be released in βAprilβ. Since then, Nvidia has stated that this was a βmisunderstandingβ, reconfirming that DLSS Dynamic Frame Generation would be released this βSpringβ. At the event, [β¦]
The post Nvidia confirms βSpringβ release for DLSS Dynamic Frame Generation appeared first on OC3D.
Notki helps freelancers, consultants, and agencies capture project updates and turn them into client-ready reports in seconds. Type or dictate notes and let AI transcribe, summarize, and organize everything into clear timelines. Share polished reports with granular permissions, track opens, and keep every client aligned. Use smart search, project timelines, and team controls to manage work across clients without chaos.
MarkInMinutes is an AI-powered grading assistant for professors and teachers. Upload assignments and rubrics, submit student work in DOCX, PDF, PPTX, XLSX, or code, and receive structured, evidence-cited feedback aligned to your criteria. You can batch process entire classes, review AI analyses, adjust scores, and export final grades while retaining full control over decisions. The platform reduces grading time, improves documentation, and ensures consistent, fair evaluations across courses.
SponsorRadar is a database and outreach platform for YouTube sponsorships. It tracks over 414,000 sponsorships across more than 31,000 brands and over 21,000 channels, updated daily, so you can see who sponsors your competitors and how to reach them. Connect your channel to get brand matches with contact info and estimated deal ranges, then generate a professional media kit with real analytics. Send personalized pitches from Gmail and track responses. Brands, agencies, and managers use it to research competitors, spot trends, and discover creators.
AMD's high-performance CPU journey continues on the desktop platform with the arrival of the Zen 5 core architecture. The new architecture has several fundamental changes that allow huge performance uplifts in single-core and multi-core applications. These can be attributed to the 16 percent IPC improvement that the new architecture has on offer. Replacing the AMD Ryzen 7000 "Zen 4" CPUs, the Ryzen 9000 "Zen 5" CPUs do not change the core configurations but enhance them in certain ways. The architectural upgrades allow Zen 5 chips to run cooler, consume lower power, and support the latest features on existing and upcoming [β¦]
Read full article at https://wccftech.com/review/amd-ryzen-7-9850x3d-5-6-ghz-3d-v-cache-cpu-review-the-best-gaming-cpu-now-even-better/
AI will compose a note, then humans will be able to refine it.
Reddit continues to enhance its market appeal.
JobHustler automates your job search across LinkedIn, ZipRecruiter, Indeed, Glassdoor, and Monster without browser extensions or platform credentials. It scans listings, filters for quality matches with a 70% fit score, and helps you act faster. Use built-in AI to tailor resumes and generate cover letters for each application, and get started on a free tier that never stops.
Nexafin automatically detects your recurring bills and shows what's due this week, what's overdue, and what's coming up. You can connect bank, credit, and investment accounts across 12,000+ institutions or import CSV/PDF statements if you prefer not to link. Enjoy a 30-day free trial.
Nvidiaβs RTX 60 series may have been pushed back to 2028 According to The Information (paywalled article), Nvidia has delayed its βKickerβ (RTX 50 SUPER) GPU lineup, citing memory shortages. As a knock-on effect, this change delays the next-generation of Nvidia GPUs, the RTX 60 series, until at least 2028. In December, Nvidia reportedly delayed [β¦]
The post Nvidia delays next-gen RTX 60 series GPUs to 2028, report claims appeared first on OC3D.
Parano.ai delivers AI-assisted competitive intelligence that tracks competitorsβ marketing, product updates, pricing, reviews, hires, funding, and website changes in real time. It sends executive summaries, change-detection comparisons, and tailored alerts to your inbox, Slack, or Microsoft Teams.
Set your competitors, fine-tune signals with granular filters, and receive daily or weekly digests for faster decisions. Pricing is per competitor with unlimited seats.
Google's John Mueller offered a simple solution to the question of whether a passage is indexed and is ready to rank.
The post Google Shows How To Check Passage Indexing appeared first on Search Engine Journal.
It has been only a few days since Apple's new AirTag 2 hit the store shelves. Yet, iFixIt is now out with a teardown of the device, revealing interesting insights about the coin-like tracker. iFixIt: Apple AirTag 2 still does not sport "tamper proof" speakers iFixIt's teardown of the AirTag 2 has revealed a few interesting aspects about the new device: For the benefit of those who might not be aware, the new AirTag's key specs include: The new AirTag is available at the same $29 price point. You can also buy a bundle of 4 for $99.
Read full article at https://wccftech.com/apple-airtag-2-speakers-still-not-tamper-proof-as-per-an-ifixit-teardown/
AT&Tβs subpar service and customer service were quickly in the negative spotlight when a customer on Reddit explained his horrible experience with the U.S. carrier concerning an iPhone 17 ProΒ that was supposed to arrive brand new at the designated address. Unfortunately, not only was the box shipped with a broken factory seal, but the device also had a smudged display, clearly indicating it had been opened before. Naturally, the first instinct would have been to return the product, which would have been a simple process, right? Wrong, and after the customer endured the excruciating after-sales support, he was charged triple [β¦]
Read full article at https://wccftech.com/customer-says-att-iphone-17-pro-had-broken-seal-was-charged-triple/
Resolut streamlines accounts receivable so you get paid on time and protect cash flow. Connect QuickBooks, orchestrate email, SMS, and phone reminders, and escalate with legal voice when needed, all without harming client relationships. The platform offers a dynamic billing portal with multiple payment options, automatic cash application, and AI-driven credit risk assessment. Use autopilot or co-pilot modes to balance automation with control, cut DSO, and eliminate administrative burdens across the full AR cycle.
Right now, there's a big air of mystery around MachineGames, and what its next project will be. The developer is mostly known for its take on the Wolfenstein series; its last game, Indiana Jones and the Great Circle, meant it took several years off from the Wolfenstein franchise to make a different kind of excellent Nazi-punching adventure. But now that its treasure-hunting adventure is out, with its own DLC, and will soon be available on the Nintendo Switch 2, the question once again becomes: what's next for MachineGames? Presumably, what's next is Wolfenstein 3, and in a recent interview with [β¦]
Read full article at https://wccftech.com/it-can-be-now-it-can-be-later-but-were-not-done-with-it-machinegames-will-make-wolfenstein-3-eventually/
Tesla's CEO is highly optimistic about the prospect of computing in space, as Musk believes Earth's energy constraints hinder the advancement of AI. Tesla's CEO Claims Energy Is a Problem On Earth, But in Outer Space, Chips Will Be the Next Constraint As the world of AI infrastructure advances, many experts argue that the 'dot-com' moment for this buildout will come when hyperscalers realize there isn't enough energy on the grid to sustain datacenter development, which would ultimately lead to a compute glut. Energy is a massive constraint that the AI bandwagon currently witnesses, given that it is argued that [β¦]
Read full article at https://wccftech.com/elon-musk-says-the-current-pace-of-ai-expansion-will-force-the-need-for-orbital-data-centers/
One mechanic that Embark Studios uses to keep players engaged in ARC Raiders is the game's Expeditions, which are essentially a big reset for your Raider. Things like your Workshop, player level, skill points, blueprints, coins, quests, and stash upgrade progress all get reset, letting you start again with new rewards and buffs to make your next round of Topside visits all the more intriguing. What makes Expeditions interesting to complete (and what helps keep players logging onto ARC Raiders each day) is that you have a limited amount of time to prepare for them, with Expeditions running on a [β¦]
Read full article at https://wccftech.com/arc-raiders-players-can-prepare-for-the-second-expedition-with-a-new-catch-up-mechanic-and-lowered-stash-value-requirements/
Sports is the most discussed topic on X, which makes it a key focus for Threads as well.
The chatbot, called "Kai", will be able to help you find info within the group chat stream.Β
TikTok's updated its Co-Funded promotion option to help drive more sales.
The request stems from claims that Meta failed to act on teen safety advice.
For many local businesses, performance looks healthier than it is.
Rank trackers still show top-three positions. Visibility reports appear steady. Yet calls and website visits from Google Business Profiles are falling β sometimes fast.
This gap is becoming a defining feature of local search today.
Rankings are holding. Visibility and performance arenβt.
The alligator has arrived in local SEO.
Across multiple U.S. industries, traditional local 3-packs are being replaced β or at least supplemented β by AI-powered local packs. These layouts behave differently from the map results weβve optimized in the past.
Analysis from Sterling Sky, based on 179 Google Business Profiles, reveals a pattern thatβs hard to ignore. Clicks-to-call are dropping sharply for Jepto-managed law firms.
When AI-powered packs replace traditional listings, the landscape shifts in four critical ways:
A fifth issue compounds the problem:
AI local packs surfaced only 32% as many unique businesses as traditional map packs in 2026, according to Sterling Sky. In 88% of the 322 markets analyzed, the total number of visible businesses declined.
At the same time, paid ads continue to take over space once reserved for organic results, signaling a clear shift toward a pay-to-play local landscape.
The same pattern appears, especially in the U.S., where Google is aggressively testing new local formats, according to GMBapi.com data. Traditional local 3-pack impressions are increasingly displaced by:
Impression trends still fluctuate due to seasonality, market differences, and occasional API anomalies. But a much clearer signal emerges when you look at GBP actions rather than impressions.
Mentions inside AI-generated results are still counted as impressions β even when they no longer drive calls, clicks, or visits.
Some fluctuations are driven by external factors. For example, the June drop ties back to a known Google API issue. Mobile Maps impressions also appear heavily influenced by large advertisers ramping up Google Ads later in the year.
Thereβs no way to segment these impressions by Google Ads, organic results, or AI Mode.
Even there, however, user behaviour is changing. Interaction rates are declining, with fewer direct actions taken from local listings.
Year-on-year comparisons in the US suggest that while impression losses remain moderate and partially seasonal, GBP actions are disproportionately impacted.
As a counterfactual, data from the Dutch market β where SERP experimentation remains limited β shows far more stable action trends.
The pattern is clear. AI-driven SERP changes, expanding Google Ads, and the removal of call and website buttons from the Map Pack are shrinking organic real estate. Even when visibility looks intact, businesses have fewer chances to earn real user actions.
Historically, local optimization centered on familiar ranking factors: proximity, relevance, prominence, reviews, citations, and engagement.
Today, another layer sits above all of them: eligibility.
Many businesses fail to appear in AI-powered local results not because they lack authority, but because Googleβs systems decide they arenβt an appropriate match for the specific query context. Research from Yext and insights from practitioners like Claudia Tomina highlight the importance of alignment across three core signals:
When these fundamentals are misaligned, businesses can be excluded from entire result types β no matter how well optimized the Google Business Profile itself may be.
Surviving todayβs zero-click reality means moving beyond reliance on a single, perfectly optimized Google Business Profile. Hereβs your new local SEO playbook.
Failure to appear in local packs is now driven more by perceived relevance and classification than by links or review volume.
AI systems cross-reference Reddit, social platforms, forums, and local directories to judge whether a business is legitimate and active. Inconsistent signals across these ecosystems quietly erode visibility.
High-quality, frequently updated photos, and increasingly video, are no longer optional. Googleβs AI analyzes visual content to infer services, intent, and categorization.
Itβs a hard truth, but Google Ads β especially Local Services Ads β are now critical to retaining prominent call buttons that organic listings are losing. A hybrid strategy that blends local SEO with paid search isnβt optional. Itβs the baseline.
Local SEO is no longer a static directory exercise. Google Business Profiles still anchor local discoverability, but they now operate inside a much broader ecosystem shaped by AI validation, constant SERP experimentation, and Googleβs accelerating push to monetize local search.
Discovery no longer hinges on where your GBP ranks against nearby competitors. Search systems β including Googleβs AI-driven SERP features and large language models like ChatGPT and Gemini β are increasingly trying to understand what a business actually does, not just where itβs listed.
Success is no longer about being the most βoptimizedβ profile. Itβs about being widely verified, consistently active, and contextually relevant across the AI-visible ecosystem.
Our observations show little correlation between businesses that rank well in the traditional Map Pack and those favored by Googleβs AI-generated local answers that are beginning to replace it. That gap creates a real opportunity for businesses willing to adapt.
In practice, this means pairing local input with central oversight.
Authentic engagement across multiple platforms, locally differentiated content, and real community signals must coexist with brand governance, data consistency, and operational scale. For single-location businesses with deep community roots, this is an advantage. Being genuinely discussed, recommended, and referenced in your local area β online and offline β gets you halfway there.
For agencies and multi-location brands, the challenge is to balance control with local nuance and ensure trusted signals extend beyond Google (e.g., Apple Maps, Tripadvisor, Yelp, Reddit, and other relevant review ecosystems). The real test is producing locally relevant content and citations at scale without losing authenticity.
Rankings may look stable. But performance increasingly lives somewhere else.
The full data. Local SEO in 2026: Why Your Rankings are Steady but Your Calls are Vanishing
Convly is a solution that allows users to manage Microsoft Teams messages directly from Slack. It lets them stay in Slack while handling Teams direct messages, group chats, and meeting conversations. Convly supports formatted text, message edits and deletions, replies, images, and file sharing. It is useful for companies that use Slack while working with clients or partners on Teams, for organizations where different departments rely on different collaboration tools, and in M&A contexts where multiple platforms coexist. By bridging Slack and Microsoft Teams, Convly provides a practical way to maintain consistent communication across two widely used collaboration platforms.
Google has started a Discover core update. The rollout may take up to two weeks, with expansion to more countries and languages later.
The post Google Releases Core Update Targeting Discover Feed appeared first on Search Engine Journal.
Today, The Verge's Tom Warren has published some updates on the Xbox schedule for this year. In 2026, the Xbox brand celebrates its 25th anniversary, and Microsoft is trying to launch games in four of its biggest franchises: Forza Horizon, Halo, Gears, and Fable. We already know the date of Playground's Forza Horizon 6, which will be released on May 19, 2026, as announced during the recent Xbox Developer Direct 2026. Warren adds that his sources indicate Halo Studios (formerly known as 343 Industries) is targeting a Summer release for Halo Campaign Evolved, the single-player remake of the 2001 game [β¦]
Read full article at https://wccftech.com/xbox-2026-schedule-halo-summer-kiln-april-new-controller/
Google wowed tech enthusiasts back in late 2025 when it made the Quick Share function for Pixel 10 devices compatible with Apple's AirDrop, allowing seamless file transfers between Android and iOS ecosystems. Now, as per the comments from a Google bigwig, that seamless interplay is coming to a lot more devices in 2026. Google is bringing the seamless interplay between Quick Share and Apple's AirDrop to a lot more Android devices this year We noted back in November 2025 that Google reverse-engineered AirDrop without any apparent input from Apple, essentially finding a workaround for seamless file transfers between Pixel 10 [β¦]
Read full article at https://wccftech.com/google-confirms-compatibility-with-apples-airdrop-coming-to-android-phones-other-than-pixels/
Last week, as part of a flurry of showcases Blizzard Entertainment announced to start 2026, the studio hosted a World of Warcraft: State of Azeroth showcase, which dug into the roadmap the company has for the long-running MMORPG in 2026. Following that showcase, in an interview with The Game Business, game director Ion Hazzikostas and executive producer and vice president Holly Longdale went further into what they envision for the future of World of Warcraft, and the "bigger vision" they have for the franchise. It's clear that Blizzard has a lot coming for World of Warcraft. The game's next major [β¦]
Read full article at https://wccftech.com/we-firmly-believe-our-best-years-are-ahead-of-us-blizzard-has-a-bigger-vision-for-world-of-warcraft/
Learn how Google's NAI framework uses AI to make technology more adaptive, inclusive and helpful for everyone.X is offering a $1 prize for the winning entry.Β
Google has released the February 2026 Discover core update, which focuses specifically on how content is surfaced in Google Discover.
Google said the update is rolling out first to English-language users in the U.S. and will expand to all countries and languages in the coming months. The rollout may take up to two weeks to complete, Google added.
What is expected. Google said the Discover core update will improve the βexperience in a few key ways,β including:
Because the update prioritizes locally relevant content, it may reduce traffic for non-U.S. websites that publish news for a U.S. audience. That impact may lessen or disappear as the update expands globally.
More details. Google added that many sites demonstrate deep knowledge across a wide range of subjects, and its systems are built to identify expertise on a topic-by-topic basis. As a result, any site can appear in Discover, whether it covers multiple areas or focuses deeply on a single topic. Google shared an example:
Google said it will continue to βshow content thatβs personalized based on peopleβs creator and source preferences.β
During testing, Google found that βpeople find the Discover experience more useful and worthwhile with this update.β
Expect fluctuations. With this Discover core update, expect fluctuations in traffic from Google Discover.
Rollout. Google said it is βreleasing this update to English language users in the US, and will expand it to all countries and languages in the months ahead.Β β
Why we care. If you get traffic from Google Discover, you may notice changes in that traffic in the coming days. Google recommends that if you need guidance, Google has βgeneral guidance aboutΒ core updatesΒ applies, as does ourΒ Get on Discover help pageβ in those help documents.
ASROCK implements βcomprehensive internal reviewsβ in response to reports of CPU failures ASROCK has released an official statement in response to recent reports of AMD Ryzen 9000 CPU failures on their AM5 motherboards. The company claims that they have started a βcomprehensive internal reviews and rigorous verification processesβ. Additionally, they have been working in βseamless [β¦]
The post ASROCK issues official statement on recent AMD Ryzen 9000 CPU failures appeared first on OC3D.
CapFrameX is a free Windows tool for capturing and analyzing PC gaming performance, with an emphasis on frame times, FPS behavior, and smoothness metrics like 1% and 0.1% lows.
As NVIDIA's cloud service GeForce NOW celebrates its sixth anniversary, with a new batch of games set to join the service, a new batch of games are also getting support for NVIDIA's DLSS 4 with Multi-Frame Generation, including the critically acclaimed Masocore from Team Ninja that will arrive on PC and PS5 tomorrow, Nioh 3. While the full game won't be available until tomorrow, February 6, 2026, if you haven't already, you can download the Nioh 3 demo to get yourself prepared for the full release. The demo and the full game both support NVIDIA DLSS 4 with Multi-Frame Generation. [β¦]
Read full article at https://wccftech.com/nioh-3-sea-of-remnants-and-vampires-bloodlord-rising-add-support-for-nvidia-dlss-4-with-multi-frame-generation/
Today, Guerrilla Games has finally unveiled its upcoming online co-op action game: Horizon Hunters Gathering. Announced over four years ago, the game indeed features theΒ stylized, slightly cartoonish lookΒ players got a glimpse of in early 2023 with the footage leak.Β It's undoubtedly a big departure from the main series' trademark highly realistic visuals, and it remains to be seen whether it will resonate with fans. Visually, at least, the MMORPG Horizon Steel Frontiers, in development at NCSoft, certainly looks more similar to the main games. Anyway, first and foremost, Guerrilla's Game Director Arjan Bak reassured fans that they're not going to stop [β¦]
Read full article at https://wccftech.com/horizon-hunters-gathering-guerrilla-cartoonish-coop-game/
If the report is true, then we will have to wait a few more months before seeing the next-gen gaming handhelds powered by newer Intel chips. Intel Reportedly Delays Panther Lake for Gaming Handhelds to Q2 2026; Two SKUs with 12 and 10 Xe3 Cores Supposedly in the Making Not long ago, Intel's VP and GM, Robert Hallock, confirmed that dedicated Panther Lake SoCs for gaming handhelds will be released this year. While Robert didn't share any details on the launch, the prominent leaker "Golden Pig Upgrade" suggested the launch at the end of Q1 2026. The leaker said in [β¦]
Read full article at https://wccftech.com/intel-gaming-handheld-specific-panther-lake-chips-rumoredly-delayed-to-second-quarter-2026/
Apple might release the iPhone 17e in a matter of days, if the latest rumors from the Cupertino giant's labyrinthine supply chain are anything to go by. Apple iPhone 17e reportedly launching on February 19 According to the rumors circulating within Apple's case and accessory manufacturing circles, the Cupertino giant might launch the iPhone 17e via a press release on Thursday, February 19. Do note that Apple typically launches new products on Mondays or Tuesdays, with Wednesdays also seeing occasional launches. As such, a Thursday launch is quite aberrant for Apple. It is for this reason that we would urge [β¦]
Read full article at https://wccftech.com/supply-chain-rumors-suggest-apple-iphone-17e-might-launch-on-february-19/
Samsungβs Heat Pass Block (HPB) is currently applied to the Exynos 2600Β and is an excellent implementation to help lower temperatures and improve thermal resistance by 16 percent. With reports doing the rounds that other chipset makers will also adopt this technology to their SoCs, the latest rumor now claims that Qualcomm will be implementing it in its Snapdragon 8 Elite Gen 6 Pro and Snapdragon 8 Elite Gen 6Β later this year. Looking at the high clock speeds achieved by the Snapdragon 8 Elite Gen 5, the thermal limitations of passive coolers like vapor chambers are already being reached, requiring more [β¦]
Read full article at https://wccftech.com/qualcomm-to-use-samsung-heat-pass-block-technology-for-snapdragon-8-elite-gen-6/
Today's Nintendo Direct Partner Showcase event had a lot of announcements that were exciting for players who don't have any other console or device to play games on besides a Nintendo Switch 2, because most of the biggest announcements were about games already available elsewhere coming to the Switch 2. Three of those bigger ports all came from Bethesda, as Bethesda Game Studios boss Todd Howard appeared to reveal that Indiana Jones and the Great Circle, The Elder Scrolls IV: Oblivion Remastered, and Fallout 4: Anniversary Edition are all coming to Nintendo Switch 2 in 2026. Two out of three [β¦]
Read full article at https://wccftech.com/a-trio-of-bethesda-ports-are-coming-to-nintendo-switch-2-in-2026-fallout-4-indiana-jones-and-oblivion-remastered/
Google Cloud built an industry-first AI tool to help U.S. Ski and Snowboard athletes.Most PPC teams still build campaigns the same way: pull a keyword list, set match types, and organize ad groups around search terms. Itβs muscle memory.
But Googleβs auction no longer works that way.
Search now behaves more like a conversation than a lookup. In AI Mode, users ask follow-up questions and refine what theyβre trying to solve. AI Overviews reason through an answer first, then determine which ads support that answer.
In Google Ads, the auction isnβt triggered by a keyword anymore β itβs triggered by inferred intent.
If youβre still structuring campaigns around exact and phrase match, youβre planning for a system that no longer exists. The new foundation is intent: not the words people type, but the goals behind them.
An intent-first approach gives you a more durable way to design campaigns, creative, and measurement as Google introduces new AI-driven formats.
Keywords arenβt dead, but theyβre no longer the blueprint.
Hereβs whatβs actually happening when someone searches now.
Googleβs AI uses a technique called βquery fan out,β splitting a complex question into subtopics and running multiple concurrent searches to build a comprehensive response.
The auction happens before the user even finishes typing.
And crucially, the AI infers commercial intent from purely informational queries.
For instance, someone asks, βWhy is my pool green?β Theyβre not shopping. Theyβre troubleshooting.
But Googleβs reasoning layer detects a problem that products can solve and serves ads for pool-cleaning supplies alongside the explanation. While the user didnβt search for a product, the AI knew they would need one.
This auction logic is fundamentally different from what weβre accustomed to. Itβs not matching your keyword to the query. Itβs matching your offering to the userβs inferred need state, based on conversational context.Β
If your campaign structure still assumes people search in isolated, transactional moments, youβre missing the journey entirely.
Dig deeper: How to build a modern Google Ads targeting strategy like a pro
An intent-first strategy doesnβt mean you stop doing keyword research. It means you stop treating keywords as the organizing principle.
Instead, you map campaigns to the why behind the search.
The same intent can surface through dozens of different queries, and the same query can reflect multiple intents depending on context.
βBest CRMβ could mean either βI need feature comparisonsβ or βIβm ready to buy and want validation.β Googleβs AI now reads that difference, and your campaign structure should, too.
This is more of a mental model shift than a tactical one.
Youβre still building keyword lists, but youβre grouping them by intent state rather than match type.
Youβre still writing ad copy, but youβre speaking to user goals instead of echoing search terms back at them.
Once campaigns are organized around intent instead of keywords, the downstream implications show up quickly β in eligibility, landing pages, and how the system learns.
If you want to show up inside AI Overviews or AI Mode, you need broad match keywords, Performance Max, or the newer AI Max for Search campaigns.
Exact and phrase match still work for brand defense and high-visibility placements above the AI summaries, but they wonβt get you into the conversational layer where exploration happens.
Itβs not enough to list product features anymore. If your page explains why and how someone should use your product (not just what it is), youβre more likely to win the auction.
Googleβs reasoning layer rewards contextual alignment. If the AI built an answer about solving a problem, and your page directly addresses that problem, youβre in.
The algorithm prioritizes rich metadata, multiple high-quality images, and optimized shopping feeds with every relevant attribute filled in.
Using Customer Match lists to feed the system first-party data teaches the AI which user segments represent the highest value.
That training affects how aggressively it bids for similar users.
Dig deeper: In Google Ads automation, everything is a signal in 2026
Even as intent-first campaigns unlock new reach, there are still blind spots in reporting, budget constraints, and performance expectations you need to plan around.
Google doesnβt provide visibility into how ads perform specifically in AI Mode versus traditional search.
Youβre monitoring overall cost-per-conversion and hoping high-funnel clicks convert downstream, but you canβt isolate which placements are actually driving results.
AI-powered campaigns like Performance Max and AI Max need meaningful conversion volume to scale effectively, often 30 conversions in 30 days at a minimum.
Smaller advertisers with limited budgets or longer sales cycles face what some call a βscissors gap,β in which they lack the data needed to train algorithms and compete in automated auctions.
AI Mode attracts exploratory, high-funnel behavior. Conversion rates wonβt match bottom-of-the-funnel branded searches. Thatβs expected if youβre planning for it.
It becomes a problem when youβre chasing immediate ROAS without adjusting how you define success for these placements.
Dig deeper: Outsmarting Google Ads: Insider strategies to navigate changes like a pro
You donβt need to rebuild everything overnight.
Pick one campaign where you suspect intent is more complex than the keywords suggest. Map it to user goal states instead of search term buckets.
Test broad match in a limited way. Rewrite one landing page to answer the βwhyβ instead of just listing specs.
The shift to intent-first is not a tactic β itβs a lens. And itβs the most durable way to plan as Google keeps introducing new AI-driven formats.
Google Search is entering an βexpansionary moment,β fueled by longer queries, more follow-up questions, and rising use of voice and images. Thatβs according to Alphabetβs executives who spoke on last nightβs Q4 earnings call.
Why we care. AI in Google Search is no longer an experiment. Itβs a structural shift thatβs changing how people search and reshaping discovery, visibility, and traffic across the web.
By the numbers. Alphabetβs Q4 advertising revenue totaled $82.284 billion, up 13.5% from $72.461 billion 2024:
Alphabetβs 2025 fiscal year advertising revenue totaled $294.691 billion, up 11.4% from $264.590 billion in 2024:
AI Overviews and AI Mode are now core to Search. Alphabet CEO Sundar Pichai said Google pushed aggressively on AI-powered search features in Q4, highlighting how central theyβve become to the product.
This includes Google upgrading AI Overviews to its Gemini 3 model. He said the company has tightly linked AI Overviews with conversational search.
AI is driving more Google Search usage. Executives repeatedly described AI-driven search as additive, saying it boosts overall usage rather than replacing traditional queries.
Engagement rises once users interact with AI-powered features, Google said.
Changing search behavior. Google shared new data points showing how AI Mode is changing search behavior β making queries longer, more conversational, and increasingly multimodal.
Sessions are also becoming more conversational.
AI Mode is also expanding beyond text.
Google highlighted continued distribution of visual search capabilities, noting that:
Gemini isnβt cannibalizing Search. As the Gemini app continues to grow, Google says it hasnβt seen signs that users are abandoning Search.
Instead, Google said users move fluidly between Search, AI Overviews, AI Mode, and the Gemini app.
AI is no longer an experimental layer in search. Itβs actively mediating how customers discover, evaluate, and choose local businesses, increasingly without a traditional search interaction.Β
The real risk is data stagnation. As AI systems act on local data for users, brands that fail to adapt risk declining visibility, data inconsistencies, and loss of control over how locations are represented across AI surfaces.
Learn how AI is changing local search and what you can do to stay visible in this new landscape.Β
We are experiencing a platform shift where machine inference, not database retrieval, drives decisions. At the same time, AI is moving beyond screens into real-world execution.
AI now powers navigation systems, in-car assistants, logistics platforms, and autonomous decision-making.
In this environment, incorrect or fragmented location data does not just degrade search.
It leads to missed turns, failed deliveries, inaccurate recommendations, and lost revenue. Brands donβt simply lose visibility. They get bypassed.
Local search has become an AI-first, zero-click decision layer.
Multi-location brands now win or lose based on whether AI systems can confidently recommend a location as the safest, most relevant answer.
That confidence is driven by structured data quality, Google Business Profile excellence, reviews, engagement, and real-world signals such as availability and proximity.
For 2026, the enterprise risk is not experimentation. Itβs inertia.
Brands that fail to industrialize and centralize local data, content, and reputation operations will see declining AI visibility, fragmented brand representation, and lost conversion opportunities without knowing why.
Here are four key ways the growth in AI search is changing the local journey:
Businesses that donβt grasp these changes quickly wonβt fall behind quietly. Theyβll be algorithmically bypassed.
Dig deeper: The enterprise blueprint for winning visibility in AI search
AI systems build memory through entity and context graphs. Brands with clean, connected location, service, and review data become default answers.
Local queries increasingly fall into two intent categories: objective and subjective.Β
This distinction matters because AI systems treat risk differently depending on intent.
ForΒ objective queries, AI models prioritize first-party sources and structured data to reduce hallucination risk. These answers often drive direct actions like calls, visits, and bookings without a traditional website visit ever occurring.
ForΒ subjective queries, AI relies more heavily on reviews, third-party commentary, and editorial consensus. This data normally comes from various other channels, such as UGC sites.Β Β
Dig deeper: How to deploy advanced schema at scale
Industry research has shown that for objective local queries, brand websites and location-level pages act as primary βtruth anchors.β
When an AI system needs to confirm hours, services, amenities, or availability, it prioritizes explicit, structured core data over inferred mentions.
Consider a simple example. If a user asks,Β βFind a coffee shop near me that serves oat milk and is open until 9,βΒ the AI must reason across location, inventory, and hours simultaneously.
If those facts are not clearly linked and machine-readable, the brand cannot be confidently recommended.
This is why freshness, relevance, and machine clarity, powered by entity-rich structured data, help AI systems interpret the right response.Β
Ensure your data is fresh, relevant, and clear with these tips:
Dig deeper: From search to answer engines: How to optimize for the next era of discovery
Historically, local search was managed as a collection of disconnected tactics: listings accuracy, review monitoring, and periodic updates to location pages.
That operating model is increasingly misaligned with how local discovery now works.
Local discovery has evolved into an end-to-end enterprise journey β one that spans data integrity, experience delivery, governance, and measurement across AI-driven surfaces.
Listings, location pages, structured data, reviews, and operational workflows now work together to determine whether a brand is trusted, cited, and repeatedly surfaced by AI systems.
Local 4.0 is a practical operating model for AI-first local discovery at an enterprise scale. The focus of this framework is to ensure your brand is callable, verifiable, and safe for AI systems to recommend.Β
To understand why this matters, it helps to look at how local has evolved:
Local 4.0 is a new operating model for AI-first local discovery at enterprise scale. The focus is on understanding, verifying, and recommending based on consumer intent.Β Β
In an AI-mediated environment, brands are no longer merely present. They are selected, reused, or ignored β often without a click. This is the core transformation enterprise leaders must internalize as they plan for 2026.
Dig deeper: AI and local search: The new rules of visibility and ROI
Discovery in an AI-driven environment is fundamentally about trust. When data is inconsistent or noisy, AI systems treat it as a risk signal and deprioritize it.
Core elements include:
Why βlegacyβ sources still matter
Listings act as verification infrastructure. Interestingly, research suggests that LLMs often cross-reference data against highly structured legacy directories (such as MapQuest or the Yellow Pages).
While human traffic to these sites has waned, AI systems utilize them as βtruth anchorsβ because their data is rigidly structured and verified.
If your hours are wrong on MapQuest, an AI agent may downgrade its confidence in your Google Business Profile, viewing the discrepancy as a risk.
Discovery is no longer about being crawled. Itβs about being trusted and reused. Governance matters because ownership, workflows, and data quality now directly affect brand risk.
Dig deeper: 4 pillars of an effective enterprise AI strategyΒ
AI systems increasingly reward data that is current, efficiently crawled, and easy to validate.
Stale content is no longer neutral. When an AI system encounters outdated information β such as incorrect hours, closed locations, or unavailable services β it may deprioritize or avoid that entity in future recommendations.
For enterprises, freshness must be operationalized, not managed manually. This requires tightly connecting the CMS with protocols like IndexNow, so updates are discovered and reflected by AI systems in near real time.
Beyond updates, enterprises must deliberately design for local-level engagement and signal velocity. Fresh, locally relevant content β such as events, offers, service updates, and community activity β should be surfaced on location pages, structured with schema, and distributed across platforms.
In an AI-first environment, freshness is trust, and trust determines whether a location is surfaced, reused, or skipped entirely.
Unlocking βtrappedβ data
A major challenge for enterprise brands is βtrappedβ data, which is vital information, often locked behind PDFs, menu images, or static event calendars.
For example, a restaurant group may upload a PDF of their monthly live music schedule. To a human, this is visible. To a search crawler, itβs often opaque. In an AI-first era, this data must be extracted and structured.
If an agent cannot read the text inside the PDF, it cannot answer the query:Β βFind a bar with live jazz tonight.β
Key focus areas include:
At enterprise scale, manual workflows break. Freshness is no longer tactical. Itβs a competitive requirement.
Dig deeper: Chunk, cite, clarify, build: A content framework for AI search
AI does not select the best brand. It selects the location that best resolves intent.
Generic brand messaging consistently loses out to locally curated content. AI retrieval is context-driven and prioritizes specific attributes such as parking availability, accessibility, accepted insurance, or local services.
This exposes a structural problem for many enterprises: information is fragmented across systems and teams.
Solving AI-driven relevance requires organizing data as aΒ context graph. This means connecting services, attributes, FAQs, policies, and location details into a coherent, machine-readable system that maps to customer intent rather than departmental ownership.
Enterprises should also consider omnichannel marketing approaches to achieve consistency.Β Β Β
Dig deeper: Integrating SEO into omnichannel marketing for seamless engagement
As AI-driven and zero-click journeys increase, traditional SEO metrics lose relevance. Attribution becomes fragmented across search, maps, AI interfaces, and third-party platforms.
Precision tracking gives way toΒ directional confidence.
Executive-level KPIs should focus on:
The goal is not perfect attribution. Itβs confidence that local discovery is working and revenue risk is being mitigated.
Dig deeper: 7 focus areas as AI transforms search and the customer journey in 2026
Fragmentation is a material revenue risk. When local data is inconsistent or disconnected, AI systems have lower confidence in it and are less likely to reuse or recommend those locations.
Treating local data as a living, governed asset and establishing a single, authoritative source of truth early prevents incorrect information from propagating across AI-driven ecosystems and avoids the costly remediation required to fix issues after they scale.
AI-mediated discovery is now the default β and local 4.0 gives enterprises control, confidence, and competitiveness by aligning data, experience, and governance into the AI discovery flywheel.
This isnβt about chasing trends; itβs about ensuring your brand is accurately represented and confidently chosen wherever customers discover you next.
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AI-mediated discovery is becoming the default interface between customers and local brands.
Local 4.0 provides a framework for control, confidence, and competitiveness in that environment. It aligns data, experience, and governance around how AI systems actually operate through reasoning, verification, and reuse.
This is not about chasing AI trends. Itβs about ensuring your brand is correctly represented and confidently recommended wherever customers discover you next.
Nvidia reportedly makes a 30% cut to its planned GPU supply in China A report on Board Channels has claimed that Nvidia is reducing its supply of GPUs by 30% in China. Currently, it is unknown how Nvidiaβs GPU supply is impacted in other regions. If this report is true, Nvidiaβs supply of GPUs may [β¦]
The post Nvidia makes heavy cuts to GPU supply in China β Report appeared first on OC3D.
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