AI Search Optimization
insights
Research, guides, and practical playbooks for understanding how brands appear in ChatGPT, Gemini, Claude, and other AI answer engines.
Check whether your brand is in the weights after every major AI update
Test whether AI models recognize and recommend your brand after major updates. Includes a no-search audit, cutoff research and an ROI calculation.
Chrome, Brave and Firefox: 9 AI-agent tasks, 9 completions
The same three tasks completed in actual Chrome, Brave and Firefox with zero action retries. Recorded timings, screenshots and limitations from a small Linux VM experiment.
We asked a ChatGPT agent to use Chrome, Brave and Firefox. Only one was available
An Aiso test found 100% task completion in Chrome with zero retries, but ChatGPT's cloud environment exposed only one of three requested browser families.
What does the new ChatGPT model mean for marketers?
GPT-6 Astra makes 68% fewer visual misses than GPT-5.6 Sol by Aiso's calculation. Why website design, visible trust signals, performance and agent-ready UX now matter for AI visibility.
ChatGPT ads start contextual, not personalized: what marketers need to know
OpenAI's August privacy update says the initial rollout uses the current conversation and limited context, not past chats or memories. Aiso separates the official disclosure from the marketer implications: conversation-level relevance, landing-page alignment, aggregate reporting, and the important unknowns.
The conversation is the real AI search query: evidence from three studies
Three Aiso papers connect the hidden search work inside AI answers, the intent that develops after the opening prompt, and the conversation context that materially changes the final response. A new measurement framework for conversational demand.
Aiso is now available in Claude's connector directory
Connect Claude to your Aiso account through Aiso's official hosted MCP. The directory listing exposes 19 tools for projects, prompts, visibility reports, citations, competitors, and fan-out analysis, with no local installation.
ChatGPT and Yelp: what the licensing deal actually changes for local businesses
Yelp licensed its reviews to OpenAI on 23 July 2026. We checked yelp.com/robots.txt four days later: every AI crawler is still blocked from every business page, so the licensed feed is the only route into ChatGPT. Only 76% of the headline 330.2 million reviews are recommended, and 68% of Yelp's 2025 ad revenue is services, not hospitality. What to do about it, including if you run a hotel, rental, or coworking space.
The prompt is not the query: how request state evolves across AI conversations
Our second arXiv paper measures how a user's request spreads across the turns of an AI conversation. Across 8,133 conversations the final prompt carries a median 36% of the session's user vocabulary, and about half the time a stated need never reaches the final prompt. Why AI-search demand has to be measured at the session, not the query.
How much search is hidden in one AI answer? Introducing search density
Our first arXiv paper measures the query and source work compressed into one conversational answer. The median information-seeking answer packs 11 retrievable facts into 3 facets, and a 6-case web pilot shows one broad query covers 70% of it. What answer-reconstruction search density means for measuring AI demand.
Luxury's AI gap: 82% of top buyers use AI, and it rarely cites the brand
Bain's 2026 luxury study found 82% of top spenders used AI in their last purchase, but 90% of the sources AI cites for luxury queries are third-party. Aiso's analysis of the demand-supply gap, with new ratios and conclusions for luxury marketers.
How GEO became the default name for AI search optimization
We asked four AI systems to name the practice of optimizing for AI answers. Three led with GEO. None led with AEO, even when citing a vendor who prefers it. Here's how one term won—and what it teaches about influencing the machines.
How LinkedIn's Feed Algorithm Gets Posts to Millions of Views
LinkedIn's March 2026 feed-engineering post says the feed ranks millions of posts, refreshes embeddings within minutes, and processes 1,000+ prior interactions. Here is what that means for writing posts that recommendation systems and LLMs can understand.
ChatGPT-User accounted for 47.4% of travel bot requests in a Cloudflare snapshot
How to read a dated Cloudflare travel benchmark without confusing user-action bot requests with people, recommendations or bookings.
AI Search for Hotels: how to get recommended in ChatGPT and Gemini
A practical playbook for hotels that want to appear when travelers ask AI assistants for recommendations by city, occasion, budget, amenity, and trust signal.
AI Search for Car Dealerships: how local dealers get recommended
How car dealerships can make inventory, financing, service, local trust, and model comparisons visible to AI assistants.
AI Search for Vacation Rentals: how property managers win recommendations
A playbook for vacation rental brands and property managers that want to appear in AI answers for destination, amenity, group-size, and trust-led travel prompts.
AI Search for Coworking Spaces: how flexible offices get recommended
How coworking spaces and flexible-office operators can show up when AI assistants recommend workspace by neighborhood, team size, amenity, and work pattern.
AI Search for Skincare Brands: how beauty products get recommended
How skincare brands can earn AI recommendations by making concerns, ingredients, proof, safety boundaries, and product-fit logic explicit.
AI Search for Electronics Brands: how products get recommended
How electronics brands and retailers can appear in AI answers by making specs, comparisons, compatibility, warranties, availability, and review proof easy to retrieve.
Everything you trust is a black box
The most common objection to AI is that nobody can fully explain how it works. True, but name one thing you use every day that you can. On Bergson's intuition vs analysis, tacit knowledge, and how people already let AI pick their next purchase, plus real anonymized ChatGPT conversations where shoppers ask the model to just decide.
How many AI-search prompts to track: cover decisions, not wording variants
Build a prompt set around products, markets and buyer constraints, then budget repeats separately from coverage.
How often to run AI-search prompts: choose precision before cadence
Use repeated answers to estimate variation, without treating one, ten or forty daily runs as a universal rule.
What is Generative Engine Optimization (GEO)?
A plain-English definition of Generative Engine Optimization: getting your brand cited and recommended inside AI answers from ChatGPT, Gemini, Claude, and Perplexity. How generative engines actually choose what to cite, the factors that move the needle, and a practical playbook to start.
GEO vs SEO: what changes when answers replace links
GEO and SEO share a foundation and optimize for opposite outcomes: a ranked list and a click versus a single synthesized answer and a citation. A side-by-side comparison of goals, mechanics, metrics, and tactics, plus what carries over and what doesn't.
Answer Engine Optimization (AEO) strategy
A step-by-step AEO strategy: structure content so answer engines can extract a clean, attributable answer and credit you. Map the questions, structure for extraction, earn trust, and measure the answers you win across ChatGPT, Gemini, Claude, and Perplexity.
The Brave of AI search: why full opt-in conversation data wins
Brave built an independent search index on strictly opt-in, anonymized, k-anonymous browsing data. Aiso applies the same principle to AI search: every conversation in our 5M+ IP panel is voluntarily shared, anonymized, and reported only in aggregate. The analogy, the mechanics, and why consent-first data is also better data.
Fan-out and prompt tracking, benchmarked: Profound vs. Peec vs. Scrunch vs. Ahrefs vs. Semrush
A first-party benchmark of how five AEO tools handle query fan-out and prompt tracking - what each names it, real vs. synthetic, cadence, model coverage, and where the documentation conflicts. With dashboard screenshots from Profound and Peec AI.
Announcing Aiso AI Crawler Analytics: our first WordPress plugin
We shipped a free WordPress plugin that shows exactly which AI assistants - ChatGPT, Claude, Perplexity, Google and more - crawl your site, broken down by assistant, page and intent. We were tired of repurposing security plugins to see it. What it does, who it's for, and how to install it.
Why one ChatGPT query tells you almost nothing about your brand visibility
We ran 19 real consumer prompts through ChatGPT ten times each under identical conditions. Two runs share only 55% of recommended brands on average. 27% are 'ghosts' - mentioned in one run and never again. Only 16% are stable across all ten runs. Why single-screenshot AI visibility audits are statistically indefensible.
Is your portfolio company winning AI search? 4 metrics that matter (and 1 that lies)
A scorecard for investors evaluating portfolio companies' AI search performance - and for the marketing leaders who'll get the question. Commercial-intent mentions, the referral underestimation problem, visibility per dollar, and revenue per dollar, with public benchmarks plus original data from Aiso's panel of millions of real anonymized AI prompts and a live gpt-5.3-chat-latest replay.
Bing just redefined the index: grounding is now the unit of value, not pages
Microsoft Bing's May 2026 post draws a sharp line between traditional search and grounding for AI answers. The five dimensions Bing now uses to measure index quality - and what brands should change.
Customer story: Particle - 5x AI visibility for a US DTC men's brand
How Aiso multiplied Particle's AI search visibility approximately fivefold across hair care, shampoo, dandruff, perfume, and baldness queries. Reported by Mind.eu.
Customer story: Sophia High School - tracking AI recommendations in online education
Full Aiso engagement plus extension: editorial calendar with 18+ topics, live Looker bot tracker, schema markup, and weekly recap mailers for a premium online school.
Customer story: Stay Unique - AI visibility across B2B and B2C properties
Dual crawlability audits, a booking-app technical deep dive, and six schema markup files (landing, FAQ, About, blog, collection, services) for a premium vacation-rental brand.
How to Measure Brand Visibility in ChatGPT: A Complete Guide for 2026
A step-by-step framework to measure how often your brand appears in AI answers, choose representative prompts, use Microsoft Clarity Topic Insights, benchmark competitors, and turn visibility gaps into action.
LLM Ranking Factors: What Actually Determines Whether AI Recommends Your Brand
We analyzed millions of AI answers to uncover the top factors influencing brand recommendations across ChatGPT, Gemini, and Claude.
How to find ChatGPT's fan-out queries
Exact DevTools fields and JSON examples, plus a sourced calculation explaining why a single capture misses the query vocabulary built up across repeat checks.
Query fan-out: how an unbranded question becomes a branded search
Inspect the words an assistant adds before choosing a content task. Public fan-out data shows why a brand-free prompt can still produce vendor comparisons.
Should Marketers Publish YouTube Videos to Teach ChatGPT About Them?
We analyzed how YouTube content influences AI answers - and when it actually helps your brand get mentioned.
How much ChatGPT traffic should a brand expect?
Use a measured baseline and a relevant comparison period, not another company’s growth chart as your traffic forecast.
How we find customer opportunities in AI search
A source-led workflow from observed questions to content tasks, with agent access, human referrals and commercial results kept separate.
Schema Markup vs No Schema: A Real ChatGPT Experiment
Controlled experiment testing schema markup impact on AI information retrieval. Live test sites, detailed analysis, and 30% improvement results.
What ChatGPT Can & Cannot See on Your Site
The technical limitations and capabilities of ChatGPT when accessing your website content - and what to fix first.
How Popular Is Travel in AI Search?
Real ChatGPT conversation data revealing travel intents, products, brands, and the shift from website funnels to conversation funnels.
What an “openai index chatgpt” search query can actually tell you
Interpret URL-like and conversational queries without guessing their source. Use exact fan-out replay to compare results, not to infer a hidden search-provider contract.
When AI should say “I don’t know”: test uncertainty in your brand answers
Use abstention research to test invented prices, product claims and policies. A correct refusal is different from an inaccurate recommendation.
ChatGPT model activity in Q1 2026: what the usage distribution does and does not show
A dated model-activity snapshot with a derived comparison of the two largest categories, and why usage does not isolate deliberate user preference.
The ChatGPT funnel: what you can measure and what you cannot
Separate agent fetches, human referral sessions and conversions. A practical measurement setup without treating bot requests as answer impressions.
How to measure AI bot access without confusing it with customer traffic
Use server logs to diagnose agent access, then evaluate citations and human referrals in separate reports.
Gemini CLI System Prompts: A Marketing and SEO Gold Mine
Since Gemini CLI is open-source, we can read its system prompts to understand exactly how Google's AI ranks content.
Best AI Visibility Tracking Tools: Real Prompts vs Simulated Estimates
Side-by-side review of Aiso, Profound, Bluefish, Peec, and Brandlight - methodology, data quality, pricing.
What Are the Real Sources Used by ChatGPT? A Detective Investigation
We isolated unique phrases and traced them back to Reddit, directories, and training data to reveal AI's real source mix.
Our ChatGPT Sample Demographics: Overview & Limitations
An honest look at the consent-based panel powering Aiso - who's in it, what biases to know, and how we mitigate them.
Founder Interview: Why We Built Aiso
The origin story behind Aiso - why we think AI search needs real prompts, and where the platform is going next.
Testing ChatGPT's Non-Ranking Nature: Espresso Machines
We ran 400 queries to test whether ChatGPT maintains consistent rankings - and found something more nuanced.
ChatGPT’s search market share depends on what you count
Keep web visits, search-like questions and referral clicks separate before comparing ChatGPT with a search engine.
Comparing AI assistants: test the product, not just the model name
Compare ChatGPT, Gemini, Claude, Perplexity and DeepSeek using the same buyer tasks, search settings and scoring rules. Keep product usage separate from model capability.
What Are People Searching for on ChatGPT?
Real data on the most frequent prompts, products, and brands people query inside ChatGPT.
ChatGPT search privacy: distinguish a query from a conversation
Inspect what the search query contains before claiming a prompt leak. Separate documented provider sharing, captured query strings and Search Console evidence.
How AI Question Types Determine Citation Sources
Different prompt types pull from different sources. Here's the mapping for research, comparison, how-to, and purchase queries.
Understanding Search Intent in ChatGPT vs Google
Why AI prompts read more like conversations than keywords - and how to map intents back to the content you publish.
6 Common Mistakes Brands Make in AI Search Optimization
Six common mistakes that keep brands invisible in AI answers, and a concrete fix for each. Covers generic content, old SEO metrics, ignoring user intent, stale content, not measuring AI mentions, and blocking AI crawlers in your robots.txt.
AI chatbot traffic conversion: compare orders, not just engagement
Use a sourced conversion benchmark and a clear break-even calculation without mistaking longer sessions for more sales.
ChatGPT analytics tools: choose by measurement method
Compare answer monitoring, observed conversation data, referral analytics and agent logs before comparing plan allowances.
Optimise ChatGPT referral traffic for the question the visitor asked
Improve landing-page fit, measure a consistent referral cohort and test completed outcomes instead of relying on a universal AI conversion rate.
How to Track Your Brand's Visibility in ChatGPT
Step-by-step setup for monitoring brand mentions across ChatGPT, with prompt-set design and weekly reporting.
10 Ways to Track Brand Visibility in AI-Powered Search
Only 3 of the 10 tracking methods in common use read an AI answer directly. Every approach, ranked by reliability.
How to track AI visibility
A practical 2025 guide to AI visibility tracking - vocabulary, methodology, tooling, and the metrics that matter.
How AI is Reshaping Enterprise Software (Klarna)
Klarna's GPT shift compressed millions in support spend. What enterprises are quietly learning from cases like it.
How We Test and Run Experiments at Aiso
Our scientific commitments - falsificationism, hypothesis-driven design, replication - applied to AI search research.
AI referral traffic is growing, but the sector benchmark matters
A sourced comparison of U.S. travel and retail referral growth, with a calculation that keeps different starting bases separate.
Advertising in ChatGPT: The Next Frontier of Marketing
How OpenAI's monetization roadmap will reshape paid acquisition - and how to prepare your team and content.
AI Search Optimization: A Playbook for Digital Visibility
The end-to-end AI search optimization playbook - from prompt discovery to schema, content, and reporting.
Mastering AI Search Traffic
What changes when AI bots, not Google, are the primary readers of your content - and how to adapt without breaking SEO.
AI search performance metrics: define the denominator before tracking the trend
Measure prompt coverage, mention rate, citations and human referrals without turning a sample of answers into a market-share claim.