Decision Ledger is an AI decision platform for founders and executive teams. It helps you discuss high-stakes choices with an AI sparring partner that challenges assumptions, structures options, and captures context. Click Save to record the final call, success criteria, and review dates. The platform builds a searchable strategic memory, references past decisions in new conversations, and tracks outcomes over time. Invite collaborators, request reviews and approvals, and keep sensitive thinking private with encrypted, non-trainable data.
At under 5MB, ShipClip is a Mac screen recorder built natively for Apple Silicon. No Electron, no browser engine, just a fast app that respects your machine. Record your screen at 60fps with system audio, mic, and camera. Edit in a multi-track timeline, blur or remove your camera background, annotate, and customize transitions with BΓ©zier curve easing. Share instantly via a link anyone can view without signing up, or export locally to keep everything on your machine. ShipClip offers a powerful, polished screen recorder for Mac users who want low overhead.
TasklyLife combines task management with deep focus in one app. Capture tasks in a frictionless inbox, organize work with custom Kanban boards, and let AI suggest subtasks and plan your day with smart breaks and priority-aware scheduling. Start Pomodoro focus sessions on any task, track sessions, and see your week at a glance with a clean calendar view and Google Calendar sync. Build Workspaces and Projects, customize workflows, and stay on top of priorities across web, desktop, iOS, and Apple Watch.
Stable Commerce is an autonomous e-commerce platform that builds, connects, and optimizes your store from a single prompt. It creates storefronts, links customer systems, sets up analytics and payments, and manages e-commerce operations behind the scenes. An always-on agent monitors performance, analyzes behavior, and adjusts workflows to boost conversions and efficiency. Manage inventory, orders, and customer service in one platform with enterprise-grade security and 24/7 automation.
Integarex is a unified discovery-to-launch platform for life science companies that delivers products to market faster by integrating projects and budgets in a single, secure, AI-powered system. This solution streamlines workflows and improves efficiency for organizations in the life sciences sector.
Counter-Strike 2 now has a lot fewer farmer bots Valve has confirmed that it has completed a new bot ban wave in Counter-Strike 2, banning 960,000 farmer bots. This was due to an internal Valve investigation that utilised data from user reports, highlighting the importance of community engagement. With many Counter-Strike 2 items holding significant [β¦]
The post Valve completes huge farmer bot ban, hitting almost 1 million accounts appeared first on OC3D.
BundleUp gives developers a single, unified API to build and manage integrations across services like Slack, GitHub, Salesforce, and more. Call any third-party API through one edge endpoint with built-in OAuth, token refresh, retries, and rate limits, so you can skip standing up integration servers.
Use its normalized interface to access common resources across providers without per-provider rewrites, and connect agents to existing MCP servers with managed OAuth. Start free and scale with simple pricing.
KeepTabz is a competitive intelligence platform that lets you monitor all competitor activity across news, review sites, social media, website messaging and positioning changes, pricing, terms of service changes, SEO and PPC creative and performance metrics, all in a single app. Our AI agents read your market like a competitive intelligence analyst who never sleeps, looking for critical competitor moves like pricing changes, product and feature launches, changes in customer sentiment, funding, earnings announcements, and more. They send you daily alerts with the most critical updates so you are never blindsided by a competitor move.
Heidi Sturrock, a paid search consultant with 24 years of industry experience, joined me on a recent episode of PPC Live The Podcast. The episode covers a broad match mistake with an unexpected silver lining, and Heidiβs experience testing AI Max across 50+ accounts.
Early in her career, Heidi ran a competitor conquest campaign for a high-spending B2B SaaS client using broad match β without adding negative keywords β and launched it on a Friday with a large daily budget. Over the weekend, the clientβs call centre was flooded with angry calls from the competitorβs customers looking for refunds and tech support.
When Heidi called the client to own up, he surprised her by seeing it as an opportunity β training his sales team to handle the calls as soft pitches, offering switchers a 50% discount on their first month. The campaign was then split into two β one targeting disgruntled competitor customers, one for general competitor prospecting β giving better control over spend and intent.
Two clear lessons emerged from the story. First, never launch significant campaigns or budget changes on a Friday β the algorithm needs monitoring during its learning period and mistakes can compound unnoticed over a weekend. Second, always include all key stakeholders in client meetings.
Having both the entrepreneur and head of sales in the room meant everyone knew who to contact when things went wrong β and the entrepreneurβs visionary thinking turned a crisis into an opportunity.
When something goes wrong, the first step is to stop the bleeding immediately β pause whatever is causing the problem rather than waiting for the algorithm to self-correct. Then call the client directly, own the mistake fully without deflecting blame, explain clearly why it happened, and come prepared with a solution and next steps.
Handling a mistake with honesty and accountability can actually build client trust rather than destroy it.
Two mistakes come up repeatedly in audits. The first is attribution windows that donβt reflect the actual sales cycle β particularly for high-ticket or long-consideration products, where a short window starves the algorithm of conversion data and creates a cycle of frustration between client and agency. The second is fixating on secondary KPIs like CPC or CTR at the expense of the agreed primary goal.
If a campaign is hitting its ROAS target, a rising CPC is not necessarily a problem β the algorithm may simply be entering higher-intent auctions, and ten converting high-CPC clicks are often worth more than hundreds of cheap ones that donβt.
Heidi has tested AI Max across more than 50 accounts, with around two thirds seeing strong results and one third underperforming β typically due to insufficient historical data, conversion volume, or poorly defined targets. Her advice is to run it as an experiment first rather than switching everything over at once, and to treat the setup carefully β giving the algorithm the right first-party data, sensible targets, and constraints like landing page exclusions where needed. A step-by-step guide is coming to her blog soon.
Donβt fight the changes coming to the industry β embrace them. The AI-powered features in Google Ads are genuinely powerful when set up correctly, and the marketers who take the time to master the new rules will be the ones who come out ahead.
Heidi is active on LinkedIn and offers free guides at HeidiSturrock.com, including a free prompt for writing high-performing ad copy with LLMs. Sheβll also be speaking on a panel at SMX Advanced in Boston in June. She will be part of the fully audience-driven Ask the Experts session. No scripts. No preset talking points. Just the conversations that matter most β driven by you.
AMDβs Ryzen 5 5500X3D is now available to pre-order in the UK AMDβs socket AM4 isnβt dead, itβs alive! For the first time, AMDβs Ryzen 5 5500X3D has become available to purchase in the UK. Pre-orders are now open at Β£179.99 on the retailer PC Tec UK, as spotted by Computerbase.de. This six-core Zen 3 [β¦]
The post AMD Ryzen 5 5500X3D CPU listed in the UK β AM4 Lives! appeared first on OC3D.
Intel's Core Ultra 7 270K Plus pushes beyond the 250K Plus with more cores and cache for $300. It costs more, but could be a strong value for high-end productivity workloads.
AIFA is a federation for autonomous AI agents to earn, compete, and build reputation. It operates like a FIFA-style league for autonomous AI agents. It certifies agents with a Blue Badge via a security and reliability Vibe Check, then lets them network and hire each other using the A2A Handshake protocol. In the Pro League, agents compete in real-time logic and parsing matches with uncheatable benchmarks, ELO rankings, and prize pools. Developers monetize through passive micro-tasks, transparent performance reports, and a transfer market to sell top-performing agents.
Lynk is built for coaches and academies who run their business on the move, managing batches, students, attendance, payments, and progress across various tools like WhatsApp messages, spreadsheets, or memory. Lynk brings everything into one place so coaches and businesses can work smoother, be more professional, and grow without chaos. Built for every kind of coach, Lynk works across common coaching and training categories, whether you teach kids, adults, groups, or 1:1.
How good is Intelβs βBig Battlemageβ GPU at gaming? Level1Techs answers Wendell at Level1Techs has tested Intelβs newly released ARC Pro B70 graphics card in gaming workloads, showcasing what Intelβs βBig Battlemageβ silicon can do. While this GPU isnβt a gaming product, it uses the same silicon as Intelβs long-rumoured ARC B770 graphics card. While [β¦]
The post Intel ARC Pro B70 Gaming Tested β Does βBig Battlemageβ Impress? appeared first on OC3D.
BetterPrompt is a marketplace for reusable AI prompts. Discover proven prompts, customize inputs, and get results fast. Coming soon: prompts that work as an Agent Skill.
UNDRSTDY helps you prepare for IT certifications with AI-powered study plans, spaced repetition flashcards, and unlimited practice exams, all based on official exam objectives. Pick your certification, set your exam date, and get a personalized study schedule that targets each domain according to its exam weight. Track your progress, identify weak areas, and go into exam day confident. Built by a multi-cert professional who has passed 6 IT certifications.
OpenHour is a free AI scheduling tool that turns plain English into a full daily plan. Instead of manually setting up your calendar, you describe your deadlines, meals, gym, meetings, and it generates a complete schedule with realistic time blocks automatically. It's built for students and busy professionals who know what they need to do but dislike the friction of planning it.
CapyParse extracts structured data from PDFs, invoices, bank statements, and images, then exports it to CSV, Excel, JSON, or QuickBooks. Its AI reads scanned and photographed documents, recognizes tables and complex layouts, and separates transactions across multiple accounts to deliver clean, reviewable results. Start by uploading files, preview the extracted fields, and download properly formatted outputs in seconds. CapyParse also provides simple visualizations to highlight key figures and patterns, and stores your documents securely. Try it with 10 free pages, no credit card required.
The agent daemon that hides nothing. 8MB. Open Source
Let agents test your code in a real browser
Feedback, reviews, loyalty & referrals for SMB
Performant, real-time data visualization in your terminal
1-click backup for your Sora videos, images & prompts.
AI agent that builds full-stack iOS & Android apps with auth
Keep your home records all together
Your Codex remote control on iOS
WordPress Studio now has an independently installable CLI
The browser built for automation
One-click WCAG & ADA accessibility audits for any webpage
Vibe code AI agents and put them behind a payment wall
Make Gmail easier to read and manage.
Know what changed and what matters across your codebase
Real browser for Claude Code Test, Screenshot, Automate
Give your AI coding agent eyes on your running frontend
Startup legal compliance built on OpenClaw
Slap your MacBook. It screams back. That's it.
New state-of-the-art in open source speech recognition
Mooduna helps you understand emotions by tracking moods and habits, offering optional journaling, gratitude prompts, insights, and mindfulness exercises. It highlights patterns over time so you can see what lifts your mood, boosts energy, or reduces stress. Built as a private, secure PWA, it installs from your browser, works offline, and keeps your data yours. Premium adds more mood options, Mooduna AI, guided meditations, past mood logging, and therapist-ready PDF reports, with safety features like crisis detection and local helpline links.
VOILA lets you build a portable professional reputation through anonymous, invitation-only feedback from colleagues. Reviewers assess your strengths in trust, performance, leadership, teamwork, and adaptability. AI moderates every review and creates shareable summaries. Your profile grows each quarter, stays under your control with flexible privacy settings, and travels with you for job searches, promotions, and references.
CHOMP is a social quiz game built on the Surprisingly Popular algorithm. Answer questions, see what people secretly believe, and find where you fall in the mix. The SP algorithm surfaces honest crowd intelligence by identifying opinions that are more popular than people predict.
Bodega One is a local-first AI desktop app that combines a full IDE with AI chat and an autonomous coding agent that can read, write, and run code in your project. It runs entirely on your machine, keeps data private, and lets you plug and play models from over 10 providers including Ollama, OpenAI, Anthropic, and Mistral. Use Monaco-based editing, tab autocomplete, Git integration, and 18 built-in tools for file operations, shell, and web search. A Context Inspector shows exactly what the model sees, and a Quality Enforcement Layer verifies changes with compile checks and proof gates. Pay once and own it forever. Waitlist is live.
KLIKAN is a civic tech platform that lets citizens report urban and environmental issues like potholes, broken streetlights, illegal dumps, and noise with geolocated photos. Reports are tracked in real-time, community members upvote to prioritize, and local authorities resolve issues with measurable impact. Features include 20+ categories, gamification with badges and a leaderboard, analytics dashboards for municipalities, and a 76% resolution rate. It bridges the gap between citizens and city governments.
Sequency is a macOS conversion tool for image sequences and video. It converts sequences (including EXR) to video, transcodes video to video, and exports frames back to PNG or other formats. A hybrid color engine routes jobs between Apple ColorSync and OpenColorIO for accurate results across sRGB/P3/Rec.709, ACES, and camera logs. It uses AVFoundation, VideoToolbox, and Metal for speed, with features like batch queues, frame range selection, EXR multichannel splitting, and flexible audio and codec options.
Narralytix provides solo founders with a business brain that remembers everything. Every assumption you test, experiment you run, and decision you make is tracked. The AI uses that history to tell you the single most important thing to focus on each morning. Most tools store information; Narralytix uses it. If something failed twice, it stops suggesting the same path. If a risky assumption has been untested for weeks, it flags it. Itβs less like a project manager and more like a cofounder who read everything and came back with a clear recommendation.
IsItDown.page checks whether a website is down for everyone or just you using tests from its own servers, not crowdsourced reports. Browse real-time status for popular services, see response times, and explore categories. Diagnose problems with built-in tools like DNS lookup, SSL checker, speed test, and port checker. Use it to quickly confirm outages and troubleshoot connectivity issues.
Build fast, beautiful, fully customizable websites without subscriptions, lock-in, or cloud-based limitations. Zero One turns Kirby CMS into a powerful self-hosted website builder, giving you the freedom, privacy, and control that SaaS platforms canβt offer. It includes a visual layout builder, form builder, header and footer builder, SEO tools, GDPR features, multilingual support, AI-ready integrations, and a flexible design system. Whether you're a freelancer, agency, or privacy-focused business, Zero One lets you create modern, scalable websites you can host anywhere with no monthly fees and no vendor lock-in.
NoteGPT is an AI learning assistant for students, educators, professionals, and creators. It converts YouTube videos, lectures, meetings, and PDFs into concise notes and summaries, generates flashcards, and lets you chat with models like ChatGPT, Claude, Gemini, and DeepSeek. Use transcription, PDF translation, and writing helpers to research and draft faster. You can create podcasts with text-to-speech and voice cloning, and design or edit images for slides and visuals. It is available on web and Chrome with strong privacy safeguards.
Advertisers can now generate short videos directly inside Google Ads using Veo, Googleβs most advanced generative video model β no video production required.
How it works. Upload up to three static images into Asset Studio and Veo generates videos up to 10 seconds long with natural motion, designed specifically for YouTube formats and audiences. These can then be turned into ready-to-serve ads using customisable templates.
What else it can do. Combined with Nano Banana, advertisers can adapt creatives further β swapping backgrounds, adjusting messaging, and tailoring content to specific audience interests.
The bigger picture. This follows Googleβs earlier rollout of video templates and automatic video creation in Demand Gen campaigns, and represents the next step in Googleβs push to make video creative accessible to advertisers of all sizes without dedicated production resources.
Why we care. Video consistently outperforms static creative on YouTube β but producing it has always required time, budget, and expertise. Veo removes most of that barrier, letting advertisers turn existing product images into polished video ads in minutes. For teams running image-heavy campaigns who have been unable to compete in video placements, this changes the equation significantly.
Early testing. Hop Skip Media founder Ameet Khabra shared some early results of the testing she did showing a video she created on LinkedIn. Her review is:
The bottom line. As Google continues building AI creative tools directly into the ads platform, the gap between advertisers with production budgets and those without narrows. For anyone who struggles to get video production budget approved and have assets with inherent motion logic, now could be the best time to test AI-generated video in Google Ads.
Too many sources, too little time. Brieflet reads everything from your sources β news, blogs, YouTube, Reddit, academic journals β and twice a day gives you a short, personalized brief of what actually matters. You shape what you see by talking to a built-in AI assistant in plain language β no filters to configure. Available on web and iOS."
QuotePro is a quoting, scheduling, and CRM platform for residential and commercial cleaning businesses. It helps you price jobs with 200+ calculators, send branded multi-tier proposals in seconds, and automate follow-ups that sound like you. Use the web or iPhone app to track leads, schedule work, and view revenue metrics in one place. Integrate accepted quotes with Jobber, accept payments via Stripe or Venmo, and quote in multiple languages to win more profitable jobs.
Google may have saved everyone from the RAMpocalypse Finally, we have some good news from the AI space. Google has announced new tech that has sent the stock prices of memory companies lower. Why? Googleβs new βTurboQuantβ tech promises to reduce AIβs memory usage by 6x. This tech could cause the AI industryβs demand for [β¦]
The post Google TurboQuant tech could save us from the RAMpocalypse appeared first on OC3D.
Learn how Google approaches some of today's most pressing security topics, challenges and concerns, straight from Google experts.Gemini Drops is our regular monthly update on how to get the most out of the Gemini app.MLB Scout Insights feature, powered by Gemini and Google Cloud AI, provides baseball commentary.
Google is testing AI-generated summaries in YouTube feeds, replacing video titles with auto-written synopses.
Some YouTube users are seeing video titles replaced by AI-generated summaries in the Android app. Reports on Reddit showed title-less video cards with collapsible summary boxes instead.
The details. Video thumbnails remain, but titles are missing in some cases.
What it looks like. Hereβs a screenshot Reddit user GrimmOConnor shared:
Why we care. This further abstracts creator metadata and reduces control over how your YouTube content appears. Titles remain a critical ranking and click-through signal. Replacing them with AI summaries can impact keyword targeting, brand voice, and intent matching β and increase the risk of inaccuracies that hurt performance.
The context. Google is also testing AI-generated headline rewrites in Search, extending the same approach beyond Discover and now potentially into YouTube.
Reaction. Early feedback suggests a worse browsing experience. Expanding summaries slows discovery and adds friction to content selection, which runs counter to YouTubeβs engagement goals.
Whatβs next. Thereβs no official confirmation from YouTube on a broader rollout. The missing titles may be a bug, but the AI summary feature aligns with Googleβs broader push into generative AI.
First seen. We learned about this test from Android Authority.
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)
Senior Paid Media Manager, Brightly Media Lab (Remote)
Senior Brand Insights Manager, Derflan Inc (Remote)
Marketing Specialist, The Bradford group (Hybrid, The Greater Chicago area)
Paid Search Specialist, Maui Jim Sunglasses (Peoria, IL)
Digital Marketing Manager 10x Health System (Scottsdale, AZ)
Marketing Manager β SEO & GEO, Care.com (Hybrid, Austin Texas)
Digital Marketplace Manager, Venchi (Hybrid, New York, NY)
Advertising Media Manager, Vetoquinol USA (Remote)
Programmatic Advertising Manager, We Are Stellar (Remote)
Marketing Manager, Backstage (Remote)
Note: We update this post weekly. So make sure to bookmark this page and check back.
Weβve all seen the charts going viral on LinkedIn. Theyβre everywhere at this point. Multiple industry studies, even this research from Semrush, confirm that Wikipedia and Reddit are the top-cited domains across major LLM platforms β and CMOs are running with this data.
The response is predictable: Just search for any bottom-of-funnel (BOFU) software query, and youβll find Reddit threads in the top-ranking positions. This is exactly why the market is currently flooded with βReddit SEOβ agencies:
Just stop.
Taking this macro context β or a few isolated, high-ranking SERPs β and pivoting your entire GEO strategy toward Reddit or Wikipedia is a massive strategic error for the majority of B2B brands.
The algorithmic tide is running toward massive community forums and open-source encyclopedias. That shift is real β but how itβs being interpreted isnβt.
The charts driving this executive FOMO are mathematically accurate, but theyβre strategically misguided. Applying them as a universal GEO playbook ignores why that aggregate data exists and why certain pages rank for high-intent queries.
Reddit is the primary target because itβs perceived as easier to influence. While the industry respects Wikipediaβs ironclad editorial guardrails, Reddit is often viewed as an open loophole.
This is a classic case of marketing whiplash, where teams abandon foundational principles to chase the shiny new object.
To understand why Reddit and Wikipedia are a high-effort, low-upside channel for the vast majority of brands, you have to look at the context executives ignore.
These studies add up citations across a randomized database that covers everything from pop culture to generalized consumer advice.
As Alex Birkett points out:Β
By default, theyβll always get the most aggregate LLM citations.
When you see a Reddit thread driving CTR for a specific BOFU software query, itβs tempting to view it as an SEO loophole that can be easily reverse-engineered. This is incorrect.
In reality, this is a scenario where the βvoice of the customerβ largely dictates who gets recommended.
This isnβt an SEO hack or a growth trick. Itβs the culmination of years of actual human peer reviews and real discussion on a topic that has reached a definitive consensus. Your marketing team canβt microwave this historical, multi-year, authentic brand sentiment.
Claiming you need a Reddit or Wikipedia strategy because they are the most-cited domains overall is like claiming spaghetti carbonara is the most-eaten dish in Italy. Yes, itβs ubiquitous and popular, but just because itβs everywhere doesnβt mean you should put it on the menu at a high-end steakhouse.Β
Dig deeper: Rand Fishkin proved AI recommendations are inconsistent β hereβs why and how to fix it
Even if you ignore the macro context and decide to aggressively pursue a Reddit or Wikipedia SEO strategy, youβll quickly realize how LLMs actually process data.Β
Hacking them for AI citations is an illusion built on a fundamental misunderstanding of what LLMs are looking for. When you look at the mechanics of AI citations, two massive roadblocks emerge.
Thirsty SEO agencies will frequently pitch Reddit marketing services, promising to generate hundreds of upvotes and comments to trigger LLM visibility. But the data shows LLMs donβt care about manufactured virality.
Up to 80% of Reddit threads cited by AI have fewer than 20 upvotes, according to Semrush. More importantly, the average age of a cited post is roughly 900 days. LLMs are surfacing historical, established consensus, not yesterdayβs growth hack.Β
The exact same brutal reality applies to Wikipedia. A Princeton University study analyzing AI-generated Wikipedia content revealed exactly what happens when marketers try to βhackβ the encyclopedia with generative tools.Β
Researchers found that when users utilized AI to create self-promotional pages for businesses, the articles were mathematically lower in quality, lacking proper footnotes and internal links.
The result?
Human moderators quickly identified the low-effort content, deleted the pages for βunambiguous advertising,β and actively banned users.
Even if you successfully infiltrate a subreddit or a Wikipedia page without getting banned, you lose control over your product positioning. Benji Hyam notes that Reddit mentions are typically too short and lack the depth necessary for an LLM to associate your product with a specific problem and solution.
The Semrush data also proves this: AI tools donβt quote Reddit word-for-word. They blend and paraphrase discussions (showing a semantic similarity score of just 0.53).Β
Your carefully crafted value proposition will be mashed up with random, anonymous user comments, or stripped down to dry, encyclopedic neutrality, diluting your brand narrative entirely.
Posting on Reddit isnβt an SEO strategy β itβs shouting through a bus window, hoping to join the conversation. At best, itβs a short-term tactic. At worst, it actively damages your brand.
The lack of ROI is only half the problem when it comes to building a Reddit or Wikipedia presence. The much larger issue is the active harm it can inflict on your brandβs image.
Brands that treat these platforms as loopholes for AI citations fundamentally misunderstand their architecture.
As Eli Schwartz points out, trying to replicate decades of genuine human conversation with templated brand messaging isnβt just ineffective β itβs a massive reputational hazard.
Subreddits and wiki pages are policed by passionate human moderators and veteran Wikipedia editors. Theyβve seen every variation of corporate infiltration.Β
A new account dropping a link, manufacturing enthusiasm, or violating Wikipediaβs strict conflict of interest (COI) guidelines is flagged, reverted, and banned almost immediately. Sometimes, this is accompanied by a public callout (featured on subreddits like r/hailcorporate), causing more brand damage than the campaign was ever worth.
This is the most critical and misunderstood risk. Reddit sells its data directly to companies like Google and OpenAI. Wikipediaβs entire edit history is completely open source.
LLMs arenβt just scraping the public-facing websites. Theyβre receiving the entire firehose of data (including deleted posts, reverted wiki edits, and banned accounts). When your agencyβs fake comments or promotional product descriptions get removed by moderators, those AI models still see the manipulation.
Because the AI models have full visibility into the moderation pipeline, links or mentions flagged as inauthentic carry negative weight. By attempting to game the system, youβre essentially training the AI to associate the brand with spam and coordinated manipulation.
Dig deeper: How to build an organic Reddit strategy that drives SEO impact
Once you accept that hacking Reddit or Wikipedia is both ineffective and dangerous, you have to look at where LLMs are actually pulling their answers from when a buyer is ready to make a purchase. When you filter for high-intent, BOFU prompts, the βReddit/Wikipedia is everywhereβ narrative falls apart.
Using AI visibility platforms like Scrunch AI exposes Redditβs and Wikipediaβs true influence on specific target categories. For one B2B client, tracking 300+ custom prompts generated thousands of LLM responses, but just two specific Reddit threads were responsible for the vast majority of citations.
The Wikipedia data was even more revealing.
For high-intent software queries, the encyclopedia barely registered. When AI tools cited Wikipedia, they were almost exclusively scraping broad, top-of-funnel category definitions, or pulling background facts from a specific companyβs history page.
Data from Grow and Convert shows the same thing. For trucking software queries, LLMs consistently cited domains like PCS Software and TruckingOffice.
For project management queries, the AI cited specialized software review sites and niche blogs.
This is a far cry from the overwhelming dominance promoted by SEO/GEO research studies.Β
If youβre chasing platforms simply because they cover massive topical geography, youβre making a painful error. You donβt need to be visible everywhere. You only need to be visible in the specific digital neighborhood that influences your flagship category.
Dig deeper: βSearch everywhereβ doesnβt mean βbe everywhereβ
Winning in AI search requires optimizing for targeted influence rather than aggregate metrics. The most effective GEO strategy abandons massive topical geography and focuses entirely on the pillars you can actually control.
Your website remains your most powerful asset. To be recommended, you must provide the specific, granular depth the AI needs to understand your value. Your key product and solution pages need to explicitly cover:
This depth is exactly what gives you a chance at showing up for the highly specific, long-tail queries a customer types into an AI when evaluating products.
Use AI visibility tools to identify the specific, niche domains that currently influence your flagship categories. Once you know which industry blogs, review sites, and peer publications the LLMs are actually citing for your BOFU queries, execute targeted outreach to earn your place on those exact lists.
Dig deeper: How paid, earned, shared, and owned media shape generative search visibility
Reddit and Wikipedia carry real authority, and earning trust there is valuable independent of AI visibility. If you choose to invest in them, it must be a long-term play, not a marketing hack.
The path to AI visibility runs through your own domain and the highly specific digital neighborhoods your buyers trust. AI engines reflect the authority you already have. If you want the algorithm to recommend your brand, then you have to do the work to actually be recommendable.
PlayStation 5 console prices are rising, and Sony blames the βglobal economic landscapeβ Sony has officially confirmed that its PlayStation 5 consoles are set to receive a price hike. All PlayStation 5 console models are affected, including the PlayStation 5 Pro. Baseline consoles will see their prices increase by $100, while the Pro will see [β¦]
The post Sony announces major PlayStation 5 price hike appeared first on OC3D.
Just six weeks after launching its ad pilot, OpenAI has hit a significant milestone β and the platform is still in its early stages of rollout.
The numbers.
Whatβs coming next.
Why we care. ChatGPTβs ad business has scaled to $100 million in annualized revenue in just six weeks β and thatβs from less than 20% of eligible users seeing ads today, meaning the inventory is about to get significantly larger.
Self-serve access launching in April is the moment this becomes accessible to the broader advertiser market, not just the 600+ brands currently in the managed pilot. Getting in early, before competition drives up costs, is the same playbook that rewarded early movers in search and social advertising.
The quality picture. OpenAI says fewer than 7% of ads are rated by users as βlow relevanceβ β a metric the company says they are actively focused on improving alongside user trust.
The bigger context. Ads are a key part of OpenAIβs path to profitability ahead of an anticipated IPO. Executives have told investors the company expects to generate more than $17 billion from ChatGPT consumers in 2026 β with advertising representing a meaningful slice of revenue from its free user base.
The bottom line. $100 million in annualized revenue from less than 20% of eligible users in six weeks is a strong early signal. When self-serve access opens in April and the eligible audience expands, the numbers could scale quickly β and advertisers who have been waiting on the sidelines may soon find the platform harder to ignore.
OpenAI have been pumping out the ads ads for free-tier ChatGPT users in the US for over a month now, and early testing suggests theyβre more frequent and more targeted than many users might expect.
How often they appear. In a test of 500 questions across the mobile app, roughly one in five questions in a new conversation thread triggered an ad at the bottom of ChatGPTβs response β always as a website link button, always tailored to the topic of the question.
What kind of ads appeared. The range was broad β dog food, hotel bookings, productivity software, cruise vacations, streaming services, corporate credit cards, AI coding tools, and basketball tickets, among others. Travel questions triggered ads most frequently; asking for help planning a trip to Palm Springs surfaced a Booking.com ad that automatically searched for hotels in that location.
The βpoachingβ dynamic. When a question mentioned a brand by name β DoorDash or Netflix, for example β the ad that appeared was sometimes for a direct competitor. Marketing professors describe this as a longtime staple of digital advertising now migrating to AI.
Why we care. ChatGPT ads are appearing roughly once every five questions on the free tier, with targeting based on conversation topic and memory β making it an emerging channel advertisers should monitor, particularly given the βpoachingβ dynamic that allows brands to appear against competitor mentions, a tactic already proven in search advertising.
What OpenAI says.
The irony. OpenAI CEO Sam Altman called ads βa last resortβ in 2024, saying the mix of βads plus AI is sort of uniquely unsettling.β The company is now expanding the rollout to Canada, Australia, and New Zealand after its US pilot.
The big picture. Neither Googleβs Gemini nor Anthropicβs Claude currently features sponsored ad buttons in outputs β though Google has said itβs not ruling it out. OpenAI is essentially pioneering a new ad format, and how it handles the balance between monetisation and user trust will shape whether AI advertising becomes a lasting industry or a cautionary tale.
Spotted. Digital marketer Glenn Gabe, shared on X how the ads are showing on mobile and confirmed it isnβt showing on Plus accounts.
The bottom line. For advertisers, ChatGPTβs ad inventory is becoming real, even though there is still a long way to go to prove ROI. However the platformβs credibility depends entirely on whether users feel the ads are eroding the experience. Thatβs a tension worth watching closely as the rollout scales.
Dig deeper. I Asked ChatGPT 500 Questions. Here Are the Ads I Saw Most Often β Wired (subscription needed).
You know SEO improves traffic, authority, and trust. What we donβt talk about enough is how a strong SEO foundation can help other channels, including PPC.Β
This practical case study will show you how performance marketing scales in a high-consideration B2B medical device market and how getting SEO fundamentals firmly in place enables paid media to deliver at scale.
Marketing a premium pelvic floor chair has little in common with selling SaaS tools or consumer products. This is a high-ticket medical device with a long sales cycle and a strong reliance on medical expertise.
Buyers include doctors, fitness centers, physiotherapists, urologists, and gynecologists. They ask detailed questions and have high expectations around clinical evidence, credibility, and long-term value.
In markets like this, many common performance tactics fail quickly. Increasing bids, expanding keyword coverage, or testing endless landing page variants doesnβt compensate for a lack of credibility and topical authority.
If potential buyers donβt trust the provider behind the product, no amount of optimization will create sustainable results. That was exactly the situation we faced at the outset of this project.
At the end of 2023, we launched our first Google Ads lead generation campaigns. At that stage:
Still, those early campaigns revealed something valuable. We began seeing our first sales coming through paid search. That wasnβt enough to scale, but it confirmed that search demand existed and could convert once the surrounding system improved.
Dig deeper: How to run compliant, effective medical and mental health ads
In mid-2024, we made a deliberate shift, treating SEO as revenue infrastructure instead of a secondary task or a nice-to-have initiative. Rather than focusing on quick ranking wins, the goal became building topical authority in pelvic health and creating the trust layer that paid media depends on, especially in medical markets.
The emphasis was intentionally top-of-funnel. The keyword and content strategy focused on education.Β We:
Our most impactful SEO lever was authority and link building. The brand already worked closely with clinics and medical professionals who used the pelvic floor chair in their practices. Instead of relying on traditional outreach or guest posting, we developed a partner-driven backlink strategy.
We provided clinics using our chair with free, ready-to-use content ranging from performance campaign visuals (B2C lead generation) to educational materials and clinical studies on the effectiveness of the technology. In return, the clinics linked to our website from their dedicated product pages, using the content we supplied and creating natural, relevant references.
These werenβt generic backlinks. They came from trusted medical domains, embedded in highly relevant content, and aligned closely with how Google evaluates expertise and trust in healthcare contexts.
Over time, this resulted in steady growth in referring domains and a significant increase in topical authority. As the network graph from our Semrush backlink analysis shows, our strongest referring pages have high authority scores.
They originate primarily from fitness studios, physiotherapy practices, and medical clinics. These relationships position the brand at the center of a tightly connected backlink network, reinforcing topical relevance and trust within the healthcare and wellness ecosystem.
By late 2024, the impact was clearly visible. The website ranked number one for the most important generic keywords, such as βBeckenbodenstuhlβ (German for pelvic floor chair), and gained visibility across a broad range of related queries.
More importantly, organic visibility began shaping brand perception. Prospects encountered the brand repeatedly during their research phase, often through AI Overviews, long before ever clicking on an ad. SEO has effectively become a trust engine.
Dig deeper: 75% of ChatGPT users rely on βkeywordsβ for local services: New data
This is where paid media behavior started to change. A strong organic presence does more than drive unpaid traffic. It changes how users respond to ads.Β
When people already recognize a brand from their organic research, paid listings feel familiar and credible rather than intrusive. This is especially true with AI Overviews, where we held top rankings for the most important generic keywords related to our product.Β
This effect became especially clear in competitor campaigns. Users searching for alternative pelvic floor solutions clicked on our ads because we were a brand they had already encountered organically, and click-through rates reflected that trust.
With authority finally established, we restructured our Google Ads campaigns by:
This was only possible because landing pages aligned perfectly with user intent and the brand already carried organic credibility.
In several competitor campaigns (competitor names are blurred out), click-through rates reached an astonishing average of 48.29%. In isolation, those numbers might seem unrealistic. In context, they were the natural result of strong organic preconditioning, with AI Overviews playing a major role, and the brand recognition we built through consistent visibility.
Another major improvement came from conversion tracking. We moved away from GA4-imported conversions and implemented GTM-native events designed specifically around meaningful lead actions.
This provided Google Ads with faster, cleaner signals and significantly improved Smart Bidding performance. In high-ticket B2B and medical markets, signal quality matters far more than volume, and optimizing toward the wrong conversion can do more harm than not optimizing at all.
The final step was closing the loop between marketing and sales. By integrating HubSpot CRM, we tracked lead quality beyond form submissions and identified which leads actually converted into revenue.
That information was fed back into Google Ads, allowing the algorithm to optimize toward outcomes that truly mattered, not just surface-level conversions. In long sales cycles, this feedback loop is essential.
Dig deeper: A guide to Google Ads for regulated and sensitive categories
With approximately $12,000 in total ad spend in 2025, the combined SEO and PPC system delivered strong year-over-year growth.Β
The biggest takeaway for us was that SEO shouldnβt be viewed solely as a traffic channel. It has a direct impact on the quality of signals fed into paid media platforms, and those signals ultimately determine how well algorithms can optimize.
Paid search only begins to scale once a foundation of trust is in place. In categories where consideration cycles are long and credibility matters, ads perform much better when users already recognize the brand and perceive it as an authority in the field.
Sustainable, high ROAS is rarely the result of a single optimization. Itβs built through interconnected systems that align SEO, paid media, tracking, and CRM feedback regarding lead quality.
Performance marketing itself doesnβt fail in complex markets. What fails is the assumption that complexity can be solved with simple tactics.
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If your entire Google Ads strategy consists of targeting brand and non-brand keywords, youβre limiting growth. If performance is declining, itβs not the platform β itβs the strategy.
People donβt discover you through non-brand search. They research on Reddit, ChatGPT, Facebook, LinkedIn, and YouTube. They watch demos, read testimonials, and learn about your brand long before they ever search for it.
If you have a complex sales process and a long customer journey, this shift is critical and requires a different approach. Hereβs what you need to know to make this work in B2B.
Google has been developing multi-channel, multi-asset campaigns for years β first with Performance Max, then with Demand Gen. These campaigns reach your audience across the web as they research and evaluate.
Your brand is front and center while your audience builds their shortlist. By the time theyβre ready to pick vendors to take the next step, youβve already built trust. Then theyβll find you by searching for your brand.
A Performance Max campaign with a variety of ad types, like image and video ads, can showcase demos or customer testimonials on YouTube. They can appear across the web via the Display Network. They can follow (retarget) your target audience as they research. Thatβs what drives the branded search that converts later.
These campaigns let you do all of this cost-effectively. In a Performance Max campaign, you can use keywords alongside your own customer data as signals. Youβre not abandoning keywords. Youβre using them smarter.
Dig deeper: Why B2B brands are shifting from keywords to Performance Max
Googleβs search results pages have evolved with AI Overviews and AI Mode. If this experience is changing so dramatically, isnβt it time to rethink your ad strategy as well?
Iβm a fan of the 4S framework: search, scroll, stream, and shop.
Iβd add βaskβ to reflect how people now engage across AI tools. They ask ChatGPT or Gemini, search Google, scroll LinkedIn, stream YouTube videos, and shop across platforms. If your strategy only covers one or two of those behaviors, youβre missing how growth actually happens.
Focusing only on keyword targeting means youβre missing the bigger picture. Yes, brand keywords will convert better than non-brand keywords. But how do people even know to search for your brand in the first place? (The answer is that youβve been showing up in their feed the whole time.)Β
This approach takes time, especially for B2B companies with long sales cycles.
It took us nearly a year to realize the value Performance Max was driving for a life science client. Most of their deals take months to close. Our account manager was about to pause the campaign at one point because the ad platform data didnβt look good.Β
But as we began piping in sales data, things started clicking. Once we got over the sales cycle hump and started seeing revenue data, Performance Max proved its value.
If you can sync data beyond MQLs β like Proposal Sent β that provides more data and signals to Google, and more peace of mind until you can add sales data.
Be patient, feed the system better data, and donβt give up too early. B2B sales cycles are complex.
You might have 100 people at an event that you promoted through a LinkedIn ad strategy. Some of those people caught an email promoting a webinar. Months later, they searched for you on Google and asked for a proposal. Still months later, they became a customer.
Even with the best-recorded data, you wonβt see this happening right away in a long sales cycle.
Dig deeper: How to optimize B2B PPC spend when budgets and confidence are low
If you donβt have a test-and-learn budget, reallocate 5% to 10% to introduce AI-forward campaign types. Test strategically. Donβt go all in, and donβt launch major tests during a busier time of year. Give yourself breathing room while the system learns.
This approach takes time. But it drives sustainable growth if you commit to the process. The advertisers who figure this out are building sustainable growth, while others are still stuck optimizing for a shrinking slice of demand.
A new version of the Google Ads API is out, bringing a handful of targeted updates across video, app campaigns, and audience planning tools.
Key changes in this release.
LoginVideoEnhancement resource that surfaces whether a video ad is Google-generated or advertiser-provided β giving developers clearer visibility into auto-enhanced creativeAppTopCombinationView resource providing read-only insights into top-performing asset combinations in App campaignsHotelSettingInfo.disable_hotel_settingContentCreatorInsightsService and ReachPlanServiceWhat to do. Upgrading to v23.2 requires updating both client libraries and client code β all updated libraries and code examples are already published.
Catch the walkthrough. Google is hosting a live release walkthrough on March 26 at 11am ET on Discord and YouTube Live, with a recorded version to follow for those who canβt attend.
Why we care. The VideoEnhancement gives developers the ability to programmatically identify whether a video ad is Google-generated or advertiser-provided, which has been a notable blind spot in Performance Max reporting. For agencies and teams building custom reporting tools, this is a meaningful step toward greater creative visibility.
The bottom line. A routine but useful release β the VideoEnhancement resource in particular is worth attention for any developer building tools around Performance Max creative reporting.
Refreshing creatives for every seasonal moment just got significantly faster β Google has quietly launched Asset Group Theming inside Performance Max, letting advertisers apply seasonal themes to existing asset groups without rebuilding from scratch.
How it works. Advertisers can clone a high-performing asset group and apply a theme β Google then generates themed image variations and suggests aligned headlines and descriptions, while leaving the original asset group completely untouched for safe testing.
Available themes cover.
Where to find it. Look for the prompt inside Asset Groups ahead of major holidays, or via βApply theme to existing asset groupβ when creating a new one.
Important caveat. This is a starting point, not a finished product. The tool uses existing images as a base and adds themed backgrounds β it does not replace videos, and typically only updates a handful of headlines to match the theme. Everything still needs to be reviewed and sense-checked before going live.
Why we care. Seasonal creative refresh has always been one of the more time-consuming parts of campaign management β requiring design resources, rebuilding asset groups, and risking performance drops on proven setups. This feature removes most of that friction, letting teams adapt their best performers to key moments in minutes rather than days.
The bottom line. Think of it as a creative assistant, not a replacement for a designer β but for advertisers managing multiple seasonal peaks across the year, the time savings alone make it worth exploring.
First spotted. This update was spotted by Google Ads specialist Bia Camargo who shared a screenshot on LinkedIn.
The local SEO community remains locked in a permanent debate over the βhide addressβ toggle for service area businesses (SABs). Most owners view this switch as a simple privacy setting. In reality, itβs a high-stakes decision that dictates how Googleβs algorithm interprets your physical relevance.
These are fundamental and relevant questions of how proximity functions when you choose to go off the grid.
To be clear, the address and the map pin arenβt the same thing. When you enter an address into your Google Business Profile, Google doesnβt simply drop a pin. It runs the address through its geocoding engine to resolve the text string against its internal database.
To understand why a map pin ends up in a highway median or a city center, you must examine Googleβs internal data models:
Google is looking for a match it can trust. When it finds a high-confidence match, it places the pin specifically at the rooftop of your building.
Once you understand how these three work together, you can get some clarity on why Google appears to rank SABs differently in the local map pack.
Make no mistake: this isnβt a bug. Itβs a fundamental breakdown in how Google translates a text string into a physical coordinate.
When this translation fails, your business ends up with a misplaced map pin, which directly misplaces your local proximity authority.
When Google canβt find a high-confidence match at the building level, it doesnβt just leave your pin floating. Instead, it falls back to the most reliable geographic feature it can confidently resolve. In most cases, that fallback is the city centroid (the geographic center of the municipality tied to your address).
Googleβs own Geocoding API documentation outlines this fallback logic, explaining why pins for businesses with perfectly visible, verified addresses sometimes end up dumped in the middle of a city.
Simply put, if your address isnβt recognized by Googleβs internal systems, the geocoding process lacks the confidence to place the pin precisely.
If Google canβt reconcile your GeostoreAddressProto with a high level of certainty, it may not anchor your GeostorePointProto to your buildingβs rooftop.
Dig deeper: The proximity paradox: Beating local SEOβs distance bias
Geocoding loses confidence when a business shares a generic building footprint, lacks a distinct suite number, or is placed in a newly developed zone that Googleβs Street View API hasnβt yet mapped.
A building thatβs newly constructed or recently added to a commercial complex may not yet exist in Googleβs geographic database with enough detail for a rooftop-level match. The street and city exist, but the specific parcel hasnβt accumulated enough mapping data for Google to confidently place a pin.
To understand why, it helps to know how Googleβs geocoding data actually gets populated. Googleβs own developer documentation states that data collection is a periodic process, and new construction data can take time to be reflected in Google Maps.
The address hierarchy Google geocodes against is built from a combination of sources, including satellite imagery updates, municipal records, and USPS address data, none of which updates in real time.
When the API resolves an address, it returns one of four location types: ROOFTOP, RANGE_INTERPOLATED, GEOMETRIC_CENTER, or APPROXIMATE.
Iβve said this to clients more times than I can count. It seems like a minor formatting detail. It isnβt.
When a business enters something like 1234 Main Street, Suite 200, in Address line 1, Googleβs geocoding engine attempts to resolve that entire string as a street address.
Suite numbers are unit identifiers. They exist within buildings. They arenβt street-level geographic data, and Googleβs geocoding process doesnβt use them to identify rooftop locations.
Embedding a suite number in Address line 1 introduces a conflict into the geocoding query that the system canβt cleanly resolve against a physical coordinate.
Instead of anchoring the pin to your building, the geocoding process encounters a string it canβt fully parse at the street level, loses confidence, and falls back, often all the way to the city centroid. This may cause clients to drive to another location or the middle of the highway.
A profile verified at a physical address doesnβt rank based on the visible address.
I recently managed a new listing where a geocoding conflict forced the map pin to the city center of Houston, miles from the actual office. While the text on the profile showed the correct street address, the ranking was anchored entirely to a misplaced coordinate in the downtown centroid.
In this instance, a suite number was embedded directly into the primary address field. When Googleβs system canβt cleanly parse a street number and name, it often defaults to the city centroid as the best available data point. This isnβt an edge case.
Whether itβs a suite number on the wrong line or a new construction site, these formatting errors trigger geocoding failures that are notoriously difficult to unwind.
The clientβs ranking data confirmed the technical reality. For high-competition terms like βwater damage restoration,β the business didnβt rank based on its physical office. It ranked based on where the pin was dropped.
If your pin is in a highway median or a city center due to a formatting error, that is where your proximity authority lives.
If you have a service-area business, the stakes are higher, and the scenarios are more complex.
When Google reprocesses that address, and the geocoding fails to anchor cleanly from the beginning, the business owner has no easy way to know. A storefront owner can open Google Maps, pull up driving directions to their location, and immediately see where the pin landed. An SAB with a hidden address canβt do the same quick check.Β
The address isnβt visible on the profile, and the pin placement isnβt clearly surfaced in the dashboard or on Maps. The business is left with poor ranking reports and no obvious explanation. They may never realize the pin drifted at all.
Their verified address may be a home office or a shared workspace, and if itβs a shared workspace, the geocoding problem gets worse. Regus locations and similar co-working buildings are among the most geocoding-hostile addresses an SAB can use. These are large commercial buildings with dozens or hundreds of unit numbers, multiple tenants, and high address turnover.Β
My hypothesis is that Googleβs geocoding engine assigns lower confidence to these addresses precisely because the unit-level data is so dense and inconsistently mapped. The result is a pin that may never anchor properly to begin with, and an SAB operator who has no easy way to verify where Google actually thinks theyβre located.
Dig deeper: The local SEO gatekeeper: How Google defines your entity
My businessβs GBP functioned as a verified storefront in Farmington Hills for years. Three years ago, I moved the operation to a new office in Pontiac and updated the address accordingly. The listing appeared as a storefront until I triggered a reverification while testing a separate case study.
Because I work primarily from home, and hadnβt invested in signage at the new Pontiac location, Google forced the profile into service area business status.
Even though the dashboard displayed a Pontiac address for several months, the map pin reverted to Farmington Hills as soon as I toggled to hide the address. This fallback exists behind the scenes, effectively anchoring the business to a location it hasnβt occupied in over a thousand days.
This is a ranking disaster for any business owner. I struggle to rank in my city for the βmarketing agencyβ category because Google is calculating my proximity from an old office.
If a business transitions from a storefront to an SAB after changing addresses, editing the existing listing is a risk. I was set up as a storefront at the new address for several months.Β
The most effective path forward is to create a new listing for the business and request a review transfer. This canβt be fixed by Google support.
Google has filed and been granted multiple patents that describe the underlying systems at work. These patents are directly relevant to how geocoding, pin placement, and local ranking interact.
| Patent ID | Title | Impact on Local SEO |
| US8312010B1 | Local Business Ranking Using Mapping Information | Outlines the core pipeline connecting an address to a map pin, establishing that the inputted address and the resolved geocode are two separate entities. |
| US8046371B2 | Scoring Local Search Results Based on Location Prominence | Describes a dual scoring system: documents within a geographic area are scored by location prominence factors (authoritative document score, citation volume, review count, and mention count), while documents outside the area are scored by distance from a defined center point such as a postal code centroid or the midpoint of the active map window. |
| US20090177643 | Geocoding Multi-Feature Addresses | Explains how ambiguous or improperly parsed address components produce lower-confidence geocode outputs, resulting in broader map pin placements rather than rooftop-level matches. |
| US7894984B2 | Digital Mapping System | Describes the geocoding/geomap server that converts a street address into a single latitude/longitude coordinate and overlays it as a location marker on a map image. Establishes the mechanical basis for map pin placement and documents that pin position is derived from the resolved coordinate, not the inputted address. |
A well-geocoded address with a narrow service radius gives Google the most confident, stable picture of where your business operates.
The friction between an address string and Googleβs geocoding confidence isnβt a minor technical glitch. Itβs a fundamental ranking blocker.Β
Google values data stability and confidence over your recent dashboard edits. If youβre struggling with a pin that refuses to anchor, or an SAB that wonβt rank, youβre likely fighting a geocoding pin placement issue that canβt be solved with standard optimizations or Google support, for that matter.
Stop trying to out-content a broken map pin. Itβs the ultimate proximity indicator that Google needs to confidently rank your business. The underlying issue isnβt complicated. Google needs a clean, parseable address string to anchor your pin at the building level.
SyncStudio generates faceless short-form videos from a single topic, scripted by AI, rendered automatically, and published directly to YouTube, TikTok, and Instagram. Pick a topic or let AI suggest one, choose a formatβMotion Graphics, Text Stories, or Quizβand SyncStudio handles the rest: scripting, rendering, metadata, captions, and scheduling across your connected channels. No camera, editing timeline, or export-and-upload loop. It's built for creators, marketers, and agencies who want consistent content without production overhead.
Dadan is an AI-powered video creation platform with screen recording, editing, and interactive video features. It helps teams create engaging product demos, walkthroughs, and training videos by letting them add quizzes, polls, lead forms, and call-to-action buttons directly inside the video. With Dadan AI Assist, your workflow speeds up through automatic video transcription in multiple languages, quick summaries, and smart chapter creation with timestamps.
The Apple Mac Pro is dead, the Mac Studio is now king Apple has officially discontinued its Mac Pro lineup, removing the product from its webstore entirely. The product has not been updated since 2023, and that model has been removed from sale. This version of the Mac Pro had a starting price of $6,999 [β¦]
The post Apple discontinues its Mac Pro lineup with no planned replacement appeared first on OC3D.
Google released the March 2026 core update today, the company announced.
This is Googleβs first core update of 2026. It follows the quick March 2026 spam update from a couple of days ago and the February 2026 Discover update.
What Google is saying.Β GoogleΒ updated its Search Status DashboardΒ to state:
Google added onΒ LinkedIn:
About core updates.Β Core updates roll out several times each year. They introduce broad, significant changes to Googleβs search algorithms and systems, which is why Google announces them.
What to do if you are hit.Β Google didnβt share new guidance specific to the March 2026 core update. However, Google has previously offered advice on what to consider if a core update negatively impacts your site:
In short: write helpful content for people, not for search engines.
For more details on Google core updates, you can readΒ Googleβs documentation.
Previous core updates.Β Hereβs a timeline and our coverage of recent core updates:
Why we care.Β With any core update, you often see significant volatility in Google search results and rankings. These updates may improve visibility for your site or your clientsβ sites, but you may also see fluctuations or declines in rankings and organic traffic. We hope this update rewards your efforts and drives strong traffic and conversions.
RankRecon is a free SEO browser extension that extracts Google search results and analyzes each ranking page across 25+ data points, including content metrics, link profiles, schema, and trust signals. You can generate SERP analysis reports with content targets, archetypes, and checklists, or export raw data to Excel, CSV, JSON, and more.
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Google has started rolling out the March 2026 core update. The rollout may take up to two weeks to complete.
The post Google Begins Rolling Out March 2026 Core Update appeared first on Search Engine Journal.
War Thunder proves that supporting the latest version of DLSS is a tricky proposition Update 2.55.0.35 has arrived for War Thunder, adding support for Nvidia DLSS 4.5. DLSS 4.5 is Nvidiaβs newest AI upscaler, and it boasts improved image quality over all prior versions of DLSS. With this change, Nvidia users should be able to [β¦]
The post Nvidia DLSS 4.5 has arrived in War Thunder, but its use is limited appeared first on OC3D.
Wikipedia's new AI guidelines prohibit editors from using LLMs for writing or rewriting content, with two exceptions.
The post Wikipedia Bans Use Of AI-Generated Content appeared first on Search Engine Journal.
AI Photo Generator lets you create, edit, and refine images with leading models like Stable Diffusion XL, Flux 2 Pro, Gemini Pro Image, and Seedream 4. You can use reference images, stock photos, and community examples to guide results, then iterate in a streamlined workspace with fine control. Generate avatars, headshots, stylized art, and photo restorations, organize favorites into collections, and export social-ready images quickly. Plans start at $29, including credits, unlimited characters, and optional API access for developers.
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Text surveys miss 93% of human meaning. VoiceZero is an anonymous voice mail platform for HR, restaurants, and product teams. Users scan a QR code or use WhatsApp to speak freely. Our AI decodes the raw audio for tone, sentiment, and urgency across 74 languages. Standout features include zero-knowledge architecture (AES-256 and Tor) for total privacy, under 2-minute smart escalation to intercept issues, and AI theme clustering.
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A judge in Texas dismissed the case and ruled that the app had failed to prove its case against the World Federation of Advertisers.
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Updates include new storage management tools, improved ways to transfer history from Android to iOS and artificial intelligence-enabled responses.
Reels trends will be expanding and the Partnership Ads Hub will offer a redesigned layout and additional insights.
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The latest update includes artificial intelligence-powered video generation and improved YouTube Creator Partnerships.
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The board said a crowd-sourced approach, which replaced the companyβs third-party fact-checking in the U.S., may not be safe in other regions.
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The platform is looking to connect creators and brands with its expanding community of users who turn to the app for discovery and purchasing.
The landmark ruling found the social media giant liable for failing to protect children from online predators, according to Reuters.
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ProxAI Logistics connects AI agents to real-world logistics and field services through a fully autonomous API. It handles task discovery, cost estimates, submission, tracking, on-chain USDC payments on Solana or Base, and proof delivery via webhook or API, without client-side human intervention. A human operator reviews each job and provides photo proof. Use it for visual audits, marketplace pickups, auction proxy, L1 IT support, and courier tasks across Greater Montreal.
Frenzy turns market movement into a pulse you can feel and trade. Choose a pulse profileβminimal, arcade, frenzy, or silentβto match your tempo, then enter the market with real-time cues that keep you focused. Start trading instantly or try a demo to get the rhythm before you commit.
The countdown to a summer of unforgettable soccer is officially on! This year, we're helping fans explore the tournament, find inspiration and get closer to the action bβ¦
HushAsk routes anonymous employee questions and feedback directly inside Slack, with no separate app or new login for your team. Messages go to HR privately or to a shared channel, depending on what the sender chooses. The anonymity uses SHA-256 hashing, not just a policy promise.
Seatlr connects travelers heading to the same city in shared chat rooms. Enter your flight to join a city-wide space that covers all airlines, see who's online, and start group or private conversations using nicknames for privacy. Seatlr provides on-device translation in 59 languages, 24-hour auto-delete for all posts and messages, and multi-airline coverage across thousands of destinations to help you meet, chat, and plan activities together.
The Gemini app just made it easier to switch from another AI chat app, without starting from scratch.
Today, Google released Google Search Live globally where AI Mode is available, for these languages and regions. This brings Search Live to more than 200 countries and territories.
Google credits its new audio and voice model,Β Gemini 3.1 Flash Live, which it says βdelivers even more natural and intuitive conversations.β The βnew model is also inherently multilingual, which means that people around the world can now speak with Search in their preferred language,β Google added.
How it works. To use Search Live, open the Google app onΒ AndroidΒ orΒ iOSΒ and tap the Live icon under the Search bar. From there, you can ask your question out loud to get a helpful audio response, then continue the conversation with follow-up questions or dive deeper with helpful web links. If you want to ask about something in front of you, like how to install a new shelving unit, you can enable your camera to add visual context. This way, Search can see what your camera sees and offer helpful suggestions, plus links to more information on the web.
You can also access Search Live if youβre already pointing your camera withΒ Google LensΒ β just tap the Live option at the bottom of the screen to have a real-time, back-and-forth conversation about what you see in the real world.
More. Last September, Google made Search Live with video available in the U.S, prior to that, it was an opt in beta and before that it was talk and listen, without video.
Why we care.Β This is another way users can have conversations with Googleβs AI instead of typing queries. Answers could increasingly bypass traditional clicks, and further erode traffic to websites. The inclusion of links (citations at the bottom) means publishers and brands could still see some benefits, but most searchers likely will have little need or desire to click on those links or dig deeper after getting their answer.
Google is launching new Performance Max controls and reporting: audience exclusions, expanded reporting, and budget forecasting tools.
Whatβs new. Google announced a mix of βsteering updatesβ and βactionable insightsβ for PMax:
Why we care. These updates help address concerns about PMaxβs lack of control and transparency. Exclusions help you avoid wasting spend on existing customers, while improved reporting gives you clearer signals for optimization, budgeting, and brand safety decisions.
Googleβs announcement. New Performance Max steering and reporting updates coming in 2026
We are pushing to get our tools and techniques to the point where we can implement the dark theme in more areas across Windows. No timelines to commit to yet for Regedit. As we make progress in various legacy system panels and dialogs, we will keep improving consistency.
Google expands Search Live to 200+ countries, powered by its new Gemini 3.1 Flash Live model with multilingual voice and camera search in AI Mode.
The post Google Takes Search Live Global With Gemini 3.1 Flash Live appeared first on Search Engine Journal.
PC Patch 1.1 has landed for Death Stranding 2 Death Stranding 2: On the Beach has received PC patch 1.1, which adds new performance optimisations and fixes to the game. This includes a bug that prevented PC gamers from accessing Death Stranding 2βs VR Training Missions, and another that prevented Steam Friends from loading in [β¦]
The post Nixxes releases PC Patch 1.1 for Death Stranding 2: On the Beach appeared first on OC3D.
Get the origin story behind the stunning wallpapers you see on Google TV Streamer, Nest Hub and other Google TV devices.In the latest episode of our Dialogues on Technology and Society series, LL COOL J sits down with James Manyika.
Automated traffic grew 23.5% year over year in 2025 β about eight times faster than human traffic, which rose 3.1%, according to HUMAN Securityβs State of AI Traffic report.
Why we care. Search is increasingly shaped by more than human queries, crawling, and indexing. AI agents now participate in discovery, comparison, and transactions β within Googleβs evolving results and across AI-driven interfaces.
The details. HUMAN groups AI-driven traffic into three broad categories:
AI agents behave more like users. These systems arenβt limited to reading content. They increasingly navigate funnels, log in, and transact. In 2025:
About the data. HUMAN analyzed more than one quadrillion interactions (requests/events) across its customer base in 2025, with aggregated, anonymized data from 2022 to 2025. It classified AI-driven traffic into training crawlers, AI scrapers, and agentic AI using user-agent strings, infrastructure signals, and observed behavior, noting limits in self-declared bot identity, which may undercount or misclassify some AI-driven activity.
Bottom line. Traffic is becoming less purely human, and discovery is no longer confined to search engines. Optimization now means deciding which machines can access, interpret, and act on your content.
The report. The 2026 State of AI Traffic & Cyberthreat Benchmark Report
Google introduced a new user agent, called Google-Agent, that signals when AI agents act on usersβ behalf, marking an early shift toward agent-driven web interactions.
What happened. Google added Google-Agent to its list of user-triggered fetchers on March 20 and has begun a gradual rollout.
How it works. Google-Agent appears in HTTP requests when an AI agent visits a site to complete a user-initiated task.
IP ranges. Google shared the IP ranges for its desktop agent:
Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Google-Agent; +https://developers.google.com/crawling/docs/crawlers-fetchers/google-agent) Chrome/W.X.Y.Z Safari/537.36
And the IP ranges for its mobile agent:
Mozilla/5.0 (Linux; Android 6.0.1; Nexus 5X Build/MMB29P) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/W.X.Y.Z Mobile Safari/537.36 (compatible; Google-Agent; +https://developers.google.com/crawling/docs/crawlers-fetchers/google-agent)
Why we care. This lets you identify agent-driven traffic in server logs. You can now distinguish traditional crawl activity from visits triggered by real users through AI agents. That should help you track agent-assisted conversions, understand emerging user behavior, and prepare for agentic search.
What theyβre saying. According to Googleβs announcement:
What to watch. Early volumes will be low as the rollout continues, but now is the time to establish a baseline. What to do:
Dig deeper. Googleβs releasing Google-Agent: Hereβs what to know
Khleb builds a passive nutrition tracking system using smart plateware that captures calories and macronutrients automatically. Its smartplate and smartglass combine spectroscopy, computer vision, and precise weight sensing to determine what and how much you eat, then sync the data to the Khleb app and connected health platforms.
You just eat as usual with no photos, phones, or manual logging, while clinical-grade sensors deliver high-fidelity dietary insights at home.
ShipSignal helps founders find validated product ideas and reach their first customers. It scans Reddit, Hacker News, Google Trends, Product Hunt, app stores, and YouTube to surface real demand, then scores opportunities with revenue estimates. ShipSignal delivers deep market intelligence, competitor breakdowns, unit economics, and week-by-week build guides. It also generates targeted lead lists and a go-to-market playbook so you can ship faster and start conversations with buyers on day one.
Google introduces Performance Max updates, including audience exclusions, budget projections, and expanded reporting to give advertisers more visibility and control over campaign performance.
The post Google Adds New Performance Max Controls And Reporting Features appeared first on Search Engine Journal.
It looks like Nvidiaβs RTX 60 series doubles down on path tracing A new leak has unveiled alleged specifications for Nvidiaβs RTX 60-series GPUs, along with performance targets. If these rumours are correct, Nvidiaβs next-generation RTX graphics cards will use GR20x βRubinβ series silicon with TSMC 3nm silicon. According to Red Gaming Tech, Nvidiaβs RTX [β¦]
The post Alleged Nvidia RTX 60 series GPU Specifications Leak appeared first on OC3D.
Intel confirms that itβs never going to release its Core Ultra 9 290K PLUS CPU When Intel released its Core Ultra 5 250K PLUS and Core Ultra 7 270K PLUS CPUs (see our review here), a lot of people had a simple question: Whereβs the Core Ultra 9 290K PLUS? The simple answer is that [β¦]
The post Intel confirms that its Core Ultra 9 290K PLUS CPU will not be released appeared first on OC3D.
Google Translateβs Live translate with headphones is officially arriving on iOS! And we're expanding the capability for both iOS and Android users to even more countriesβ¦The winners of the MedGemma Impact Challenge demonstrated the potential of Googleβs open medical models for solving diverse healthcare challenges.Learn more about our latest Demand Gen Drop and ways to maximize campaign performance in Demand Gen campaigns.Gemini 3.1 Flash Live is now available across Google products.Google is launching Gemini 3.1 Flash Live via the Live API in Google AI Studio, for building realtime voice and vision agents.Weβre expanding Search Live globally, to all languages and locations where AI Mode is available.Visibility is no longer just about ranking. It depends on whether your content is discovered, evaluated, and selected in AI-driven search experiences.
Weβre kicking off our new monthly SMX Now webinar series on April 1 at 1 p.m. ET with iPullRankβs Zach Chahalis, Patrick Schofield, and Garrett Sussman on how you must adapt.
The session introduces iPullRankβs Relevance Engineering (r19g) framework for executing Generative Engine Optimization (GEO) through an omnichannel content strategy. Youβll learn how AI search uses query fan-outs to discover and select sources, and how to structure content so itβs retrieved, surfaced, and cited.
It also emphasizes that GEO success isnβt universal. It requires testing, tailored strategies, and a three-tier measurement model spanning discovery, selection, and citation impact.
Search Engine Land is proud to be a media partner for iPullRankβs upcoming SEO Week event.
While initially criticized as a black box, Performance Max has evolved into a fairly critical campaign type. With each passing quarter, Google has introduced more functionality and visibility.
Additional reporting is helpful, but what matters is what you can actually act on. While you canβt control everything in Performance Max, there are specific levers that can have a meaningful impact on performance. Here are the parts of PMax you can control and how to use them effectively.
One of the most exciting updates in the last year to Performance Max has been the ability to add these campaign-level negative keywords.Β
In the past, you could contact Google to add these in. It was somewhat cumbersome and involved filling out an Excel doc, forwarding it to Google, and giving them permission to implement.Β
With the inclusion of the search terms report, weβre now able to select a keyword and quickly add it to the campaign-level negative keyword list, just as we can with a search or shopping campaign.
Another way to optimize PMax is to review and monitor the placements report. Most recently, Google has moved the Performance Max placements report out of the reporting section of the Google Ads account and into the Where ads have shown section at the campaign level. While this makes analysis easier by removing additional steps, we still only have impression-level reporting on placements.Β
We can use this information to decide whether to add these placements as negative placements at the account level. This is found in Tools > Content suitability > Advanced settings > Excluded placements.Β
While this isnβt ideal, thereβs still useful insight we can glean from this report, such as ads appearing in kidsβ programming or driving a high number of impressions from mobile apps.
Also located in the When and where ads showed section is the ad schedule. Even if you hadnβt selected an ad schedule when creating the campaign, Google automatically dayparts performance hourly.Β
Google typically recommends an open ad schedule, but if you have a limited budget, restricting your ad schedule during off-peak or non-converting hours is an excellent way to increase efficiency.Β
You can do this by creating a campaign-level ad schedule within Campaigns > Audiences, keywords, and content > Ad schedule. Make sure your Performance Max campaign is selected in the top left dropdown menu.
Dig deeper: Top Performance Max optimization tips for 2026
Demographic exclusions are a relatively new feature at the campaign settings level for Performance Max. Unfortunately, reports for these campaigns are hard to obtain, limiting informed decisions on demographic exclusions.
This functionality is helpful if youβre aware of specific demographics that arenβt actively in the market for specific products or services. To make adjustments, go to Campaign-level settings > Other settings > Demographic exclusions. From here, you can turn on age or gender exclusions:
While PMax initially didnβt even provide device-level reporting, a new feature lets you opt out of serving on certain devices.
If you opt into all device targeting when launching a PMax campaign, you should periodically review device performance and adjust accordingly. This is best done by segmenting at the campaign or asset group level by device. Device-level data is extremely helpful for determining which device is better suited to reach your goal.Β
Likewise, if you almost always opt out of certain devices when launching a campaign, this data makes it easier to either launch with all device targeting enabled and monitor performance, or add a device you hadnβt initially added to see how it impacts performance. Device-level targeting is also available at the campaign level, under Other settings.
Ad assets play a large role in the display, YouTube, and Discover network performance of a PMax campaign. For many, thereβs still a gap in producing high volumes of quality image and video creative.
While still evolving, AI assets are getting closer to filling these gaps β enabling us to more effectively target these additional networks. As newer iterations of LLMs emerge, this will become a primary way to generate video content and professional-looking images.
Google already offers generative AI image assets from shopping feed products that look relatively impressive. But weβre still a ways out from seeing high-quality AI-generated videos without the well-known glitches we typically see in this type of content.
Dig deeper: How to reduce low-quality leads from Performance Max campaigns
The channel controls report gave more insight into where ads were serving. I have an unpopular opinion on this report. While helpful, thereβs little we can do within the campaign to improve performance. Because of this, the report is frustrating.Β
Weβll likely see channel controls available within Performance Max in the near future β similar to what we already have in Demand Gen campaigns. For now, adjust creative and bids to sway volume within certain networks. To opt out of certain networks completely and focus on shopping, then a feed-only Performance Max campaign will do just that.
Performance Max is evolving from a black box to a critical asset in a marketerβs toolkit. The steady stream of new functionality, from campaign-level negative keywords to detailed placement and ad schedule reports, shows Googleβs commitment to providing greater control.Β
Use these levers β strategic exclusions, device adjustments, and budget-aware scheduling β to move beyond set-it-and-forget-it and run Performance Max campaigns with precision and efficiency.
Dusk AI offers AI companions with real long-term memory so your chats persist and characters remember you over time. Choose from personas across romance, fantasy, and more, and build ongoing relationships that carry details from every conversation. It adapts to your preferences and saves context after dark, letting you roleplay and explore stories that grow with you.
Murlyn is a decision intelligence platform that lets you paste any high-stakes document and simulate how each stakeholder will respond. You can build a panel by role, seniority, deal size, and industry, watch reactions in real time, surface objections and blind spots, and get an AI rewrite that holds up in the room. Teams use it for cold emails, proposals, board decks, job offers, and competitive analysis, with plans for solo users to enterprises.
