GEO
35 articles
How a UK Trades Platform Grew AI Search Visibility 40% in Four Weeks
Visibility up roughly 40% relative in four weeks, mentions from 1,285 to 2,265, in a category that started carrying paid AI search placements for the first time.
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How a B2B Entity Resolution Platform Grew AI Search Visibility 5.4x in Nine Weeks
Visibility up 5.4x, mentions from 147 to 666, average position from 4.3 to 2.4. The single biggest fix was technical: the platform's best content sat behind a login wall no AI crawler could read.
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London Hospitality's AI Ad Window Is Still Wide Open
Only 11 of 585 tracked answers in London hospitality carried an ad, and just one restaurant is bidding for any of it. Meanwhile organic citation is the most concentrated thing we track: Time Out alone builds about 64% of London's ChatGPT dining answers.
Read →Team Collaboration's AI Ads: 18 Advertisers, and Almost None of Them Sell Chat Software
326 ad bearing answers, 18 distinct advertisers, and almost none of them sell a team chat product. Compliance app builders, VoIP platforms and project management lead generation are harvesting team chat intent and redirecting it elsewhere.
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Finance Automation's AI Ad Auction Is Being Won by Lead Generation, Not Software
Finance automation carries real buyer intent and almost no advertisers to meet it. Expert Market, a lead generation aggregator, took more ad slots than every genuine software competitor combined, and just two category vendors bid at all.
Read →Entity Resolution's AI Ad Problem: 73% Coverage and Every Ad-Bearing Prompt Is Unbranded
We tracked 73.0% ad coverage in entity resolution, one of the most heavily monetised categories we measure, and every single ad-bearing prompt was unbranded. Buyers are not waiting for someone to type a brand name. They are buying the research question itself.
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Waste and Hauling Software Is the Most Monetised Category We Track: Nearly Four in Five ChatGPT Answers Carry an Ad
In our tracking, 77.8% of waste and hauling software AI answers carry an ad, the highest coverage of any category we measure. Jobber dominates the inventory and runs explicit 'Jobber vs. ServiceTitan' conquest creative, including on prompts asking for a ServiceTitan alternative.
Read →The UK Trades Software Category Had No ChatGPT Ads for Two Weeks. Then It Had Almost Half a Month's Worth in Three Days
Zero ads for two weeks, then a step change: the final three days of our tracking window carried 29 of the month's 60 ad-bearing answers. Powered Now, Tradify, Commusoft, Joblogic and Jobber are the names actually bidding on UK trades queries.
Read →Which Categories Does ChatGPT Actually Monetise? A 40x Ad Coverage Spread
Sponsored placements now appear inside ChatGPT's own answers, and we measured how unevenly that inventory gets bought. A 40x spread separates the most and least monetised categories we tracked, and the gap follows the value of a click, not the size of the market.
Read →The New York Dining AI Visibility Study (2026): A 15% Ceiling and the Sources That Build the Answer
We tracked 24 of New York's most famous restaurants across 830 AI answers. Even the most visible name, Gramercy Tavern, tops out at 15.1%. Here's the concentrated source list that builds the city's AI dining answer, and the Carbone paradox hiding inside it.
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The Berlin Restaurant AI Visibility Index (2026): A Tourism Board Runs the Answer
No one has published a German AI-visibility dataset before. Ours is the first: 22 Berlin restaurants, 823 scored answers, and the most-cited source isn't a magazine, it's the city's own tourism board.
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Which Sources ChatGPT Cites for London Dining (Real Data)
If you want to be named by AI, you need to be in the sources it reads. We measured exactly which ones, for London dining, across two weeks. Time Out dominates, Reddit is quoted hardest, and there's a difference between being retrieved and being cited.
Read →The UK Restaurant AI Visibility Index (2026): Who AI Actually Names
Every restaurant-invisibility study so far has been US data. This is the first UK read: 28 London groups, real diner questions, run daily across the major AI engines. The leader appears in one in eight answers. Here's the leaderboard and the sources AI cites.
Read →Where AI Sends Diners in Berlin: How ChatGPT Builds Its Answers
Ask ChatGPT where to eat in Kreuzberg and it names three to five places. Those names come from a handful of Berlin sources, and almost none of them is your own site. Here's which sources feed the answer, and how to get in. Fully in German.
Read →Wine Bars in Germany: Making Drinks-Led Venues Visible on ChatGPT
Berlin's natural wine scene is thriving in the room and invisible in AI answers. Drinks-led venues sit in a blind spot food-first advice ignores, and the German market adds gates. Here's the fix, fully in German.
Read →How to Make a Restaurant Group Visible on ChatGPT in Germany
A single restaurant has one entity to get right. A German group has one brand across many venues, in a market where AI Overviews only reaches signed-in adults. Here's why groups vanish from AI answers in Germany, and the fix.
Read →Reddit and Local Forums: The Hidden Source Behind Restaurant AI Answers
The best-of shortlist an AI engine gives a diner is built as much from community consensus as from your own site. Reddit and local forums are a hidden source behind restaurant AI answers, and you cannot buy your way in. Here's how they work.
Read →Why Your Local SEO Tools Miss Your Restaurant's AI Visibility
Rankings strong, reviews clean, citations tidy, and still no bookings from AI. Local SEO tools and Search Console were built for a world of blue links, and they cannot see whether ChatGPT names your restaurant. Here's the blind spot.
Read →Private Dining in London: Why AI Never Suggests Your Room
Someone types private dining room in London for 20 into ChatGPT. It is one of the most valuable queries in hospitality, and one of the hardest for an engine to answer, because your private-dining details are locked where no model can read them. Here's the fix.
Read →GEO vs AEO vs SEO for Restaurants: What Each One Does
Three acronyms, one dinner booking. SEO ranks your pages, AEO and GEO get your restaurant named inside the AI answer. Here's the difference for a restaurant specifically, and why the work is not either-or.
Read →Opening in a New City? Your Restaurant Starts Invisible on AI
Brand equity is a human thing. When you open in a new city, an AI engine sees a venue it cannot yet place, with no local proof, and it keeps recommending the incumbents. Here's how to close the AI cold start on a new opening.
Read →Restaurant AI Visibility Statistics (2026): The Numbers, Sourced
Every headline number on restaurants and AI search, in one place, with its source, date and market attached. Built to be cited, and honest about what is US data and what is UK.
Read →GEO for Wine Bars: Why Drinks-Led Venues Vanish From AI Search
Almost every GEO guide is written for restaurants that serve food first. Wine bars, cocktail bars and drinks-led venues have a different, harder problem, and no one is writing about it. Here's why you vanish from AI answers and how to show up.
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OpenAI and Anthropic Don't Need a Word for GEO. You Do. (2026)
A widely shared post argued that OpenAI and Anthropic don't care about GEO or AEO, so the whole category must be marketing. We sell GEO for a living, and we half agree. The acronyms are marketing. The work, and the way you now measure it, is not. And the job posting used as proof says so.
Read →Why Your Restaurant Group's Venues Cannibalise Each Other on ChatGPT
A single independent has one entity to get right. A group has one brand smeared across many venues, and AI engines routinely name the wrong branch, or none. Here's the multi-venue problem no one is writing about, and how to fix it.
Read →The Star Rating Trap: Why Your 5-Star Restaurant Is Still Invisible on ChatGPT
Restaurants rated 4.8 stars and above were hidden from Google's AI answers more often than solidly good ones. Stars are not the signal you think they are. Here's what the data shows and what actually earns the mention.
Read →Why Your Restaurant Is Invisible on ChatGPT (and Google Won't Warn You)
UK diners are already asking AI where to eat, and Google can soon book the table for them. Here's why most restaurants never get mentioned, and five fixes that close the gap.
Read →Why Your Website Never Shows Up in ChatGPT (and How to Build One That Does)
Ranking on Google no longer means an AI assistant will ever recommend you. Here is why most business websites are invisible to ChatGPT and Perplexity, and what an AI-search-ready page actually looks like.
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7 Gushwork Alternatives for AI Search Growth in 2026
Gushwork is a credible, well-funded AI search partner for US SMBs. These seven verified alternatives cover done-for-you delivery, senior strategy, in-house tooling and pure measurement, with July 2026 pricing.
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AEO vs GEO vs SEO: The Difference, and Which One You Need in 2026
SEO ranks links in classic search. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) optimise to be cited inside the AI-generated answer in ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot. AEO and GEO are near-synonyms for the same goal; SEO is a separate, still-necessary discipline that feeds the retrieval pool. The practical answer in 2026 is that you do all three, but you measure AEO/GEO on citation share, not blue-link position, and the winning levers (off-site footprint, entity authority, content shape, freshness) sit mostly off your own site.
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AI Search Tool vs Agency vs Agent: Which Do You Actually Need in 2026?
There are three ways to improve your AI search visibility, and they're layers of the same stack, not rivals: a tool (Peec, Profound) measures where you stand; an agency executes the optimisation work with people; an agent — an AI-search agent — does the recurring volume under human review. A tool changes your understanding, not the answer. An agency changes the answer but costs the most and moves at human speed. An agent does the volume at mid-market cost with humans owning quality and strategy. In 2026 most teams keep a tool and add one execution layer — the real decision is which one.
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How to Build AI Agents on the Peec AI MCP for AEO and GEO (2026)
In late 2025 Peec AI shipped an official MCP server, which makes its entire AI-search measurement layer — projects, prompts, per-engine brand visibility, full AI answer transcripts, the source/citation graph and scored Actions — directly callable by an LLM agent. That means you can wire a Claude or GPT agent straight to the ground truth of how ChatGPT, Perplexity, Gemini and AI Overviews answer your category, and have it reason over the data and draft the work to close the gaps. The defensible build pattern is a read-only, five-stage loop with a human ship gate: the agent triages and drafts; a person verifies and ships.
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From Peec or Profound Data to AI Citations: A 5-Step Playbook (2026)
Your Peec or Profound dashboard tells you where you're invisible in AI answers, but a visibility score is an outcome, not an instruction. Turning the data into citations is a five-step job: read the gap reports rather than the vanity metric, turn the cited sources into a third-party target list, fix the pages that are retrieved but not cited, build the off-site footprint the data points to, then re-measure the delta on a cadence. The highest-leverage move is the source/domain gap report — the third-party sites citing your competitors but not you. Most of the work lands off your own domain and has to recur, which is the gap between owning a dashboard and moving its numbers.
Read →You're Tracking AI Search Visibility. Who's Actually Fixing It?
AI search visibility tools tell you where your brand is missing from AI answers. They don't fix it. Here's why the number doesn't move when you only buy the dashboard — and what closing the gap actually takes in 2026.
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Best AI Search Agencies for B2B Companies: GEO Audit, Content, and Agentic Execution
The best AI search agency for a B2B company is not just a content shop or a dashboard reseller. It should measure prompt-level visibility, explain why AI engines recommend competitors, and turn the source gaps into shipped work.
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