AI Search Optimization
insights
Research, guides, and practical playbooks for understanding how brands appear in ChatGPT, Gemini, Claude, and other AI answer engines.
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 Traffic Is Already Half of AI Bot Visits to Travel Sites: A Free Benchmark from Cloudflare
Cloudflare Radar's free AI Insights dashboard shows ChatGPT-User, the agent that fires when a real person asks ChatGPT about your brand, at 47.4% of user-triggered AI bot traffic on travel sites. Here is what the data shows and how to use it as a benchmark.
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 prompts should you track in AI search?
A benchmark from across our AI-visibility projects: track 10 prompts for a first look, 100 for ongoing monitoring, and around 1,000 for a full content-and-tracking setup. Includes a typical working set broken down by funnel stage and intent, and how to pick your own number.
How often should you run your AI search prompts?
AI answers are noisy, so each run is a sample, not a fact. A benchmark on run frequency: a category leader needs as little as 1 run a day to be representative, an established mid-size brand around 10, and a long-tail challenger around 40, set by how variable its mention rate is. The sampling logic, with charts.
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 Hidden Fan-Out Queries
Discover the exact follow-up questions AI asks behind the scenes - and how to use them to gain more visibility.
ChatGPT and Gemini Query Fan-Out: A Comparative Analysis
We compare how leading AI models expand user queries - and what that means for your content strategy.
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 Brands Expect?
Benchmarks from 500+ brands across industries on AI referral traffic, conversions, and growth potential.
How We Get Customers From ChatGPT and Gemini Every Month
The exact step-by-step playbook for getting customers from ChatGPT and Gemini - absolutely free.
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.
How Google's Tokenization Turns Prompts Into Searchable Queries
Understanding how Google's tokenization breaks down content - and how it shows up inside ChatGPT prompts in Search Console.
Why AI Can't Say 'I Don't Know' (And What This Means for Your Marketing)
New research reveals that reasoning models struggle with uncertainty. Learn how to protect your brand from AI hallucinations.
Most Popular ChatGPT Models: Real Data Analysis
Discover which ChatGPT models users actually prefer based on real query data - and what that means for your optimization roadmap.
The ChatGPT Funnel: Impressions, Clicks, and Conversions
Server-log methodology to track real ChatGPT traffic with OAI-SearchBot detection. No estimates, just accurate metrics.
How to Measure Your Success on ChatGPT and Other AI Bots
A complete analytics playbook for tracking AI bot visits, prompt influence, and downstream conversion impact.
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 Search Market Share
Google's global search market share fell below 90% for the first time in a decade. Real-world clickstream data on how ChatGPT is reshaping where users go for answers, and what the shift means for brands.
Comparing Major LLMs in 2025
A side-by-side breakdown of how the top LLMs differ on retrieval, citations, and brand recommendation behavior.
What Are People Searching for on ChatGPT?
Real data on the most frequent prompts, products, and brands people query inside ChatGPT.
ChatGPT Scrapes Google and Leaks Prompts
An investigation into how ChatGPT scrapes Google Search and leaks user prompts into Google Search Console.
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.
5 Common Mistakes Brands Make in AI Search Optimization
Five 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, and not measuring AI mentions.
AI Chatbot Conversion Study
Conversion data from AI-referred traffic across e-commerce, SaaS, and travel sites.
Best ChatGPT Analytics Tools 2025
Track AI traffic, attribution, and visibility - comparison of the best ChatGPT analytics tools and what they actually measure.
ChatGPT Referral Traffic: Track and Optimize Conversions
How to identify ChatGPT-referred sessions in GA4 and turn them into a conversion funnel you can optimize.
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
From simple prompt rotation to consent-based panel data - every measurement approach, ranked by reliability.
Complete Guide to AI Visibility Tracking in 2025
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.
Brands See AI Traffic Surge
The brands quietly winning AI referral traffic in 2026, and the tactics they share in common.
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: What to Track and How
The four metrics that actually predict AI visibility outcomes — mention rate, sentiment, context accuracy, and click-through — plus a framework for benchmarking over time.