AI never gives thesame answer twice.
AI visibility, measured like science.Improved with evidence.
Your next customer just asked AI. Did it name you?
Watch it now
ChatGPT
Claude
Gemini
Perplexity
AI Mode
AI OverviewsSame question. Different answer. Try it below.
Ask ChatGPT the same question in a new chat and the top three changes. Your brand can be first in one chat and missing from the next.
Illustrative demo · not real AI results
Nike was named in 1 of 1 chats
In statistics, this is called variance. Most tools ask once and report whatever comes back as your score.
You win the question, but lose the conversation.
Real buyers don't ask once. They follow up: cheaper? wider fit? better for marathons? A tool that only checks the first question never sees this.
Three questions. Three different outcomes. One score would have told you none of it. So we measure the whole conversation, not just the first question.
One run is an anecdote.
Multiple runs make a measurement.
A tool that asks once shows you one of these dots and calls it your score. We ask the same question multiple ways: new wording, different buyers, every major AI, again and again. Then we count.
The result is a number that holds still, one you can confidently present to your CXO, board or clients.
Now you know your real number.
The next question: how do you improve it?
We tell you what to fix, and prove it worked. Try it below.
Because our number holds still, we can tell which fixes really work, and which one to do first.
Built on science.
Not guesswork.
Four steps behind every number we show you.
1Prompt volumesWe find the real questions your buyers ask AI
We map what people actually ask AI in your category, weighted by real prompt volumes, so you track the questions that drive demand. Not the ten you think they ask.
2Stress test & measureWe stress test every question
Each question is reworded, asked as different buyer personas, and run again and again across every major AI engine. Every number comes from designed experiments, repeated trials and confidence intervals, so it holds still.
3What to improveWe show you exactly what to improve
Content gaps, the sources AI cites instead of you, what AI gets wrong about your brand, and technical GEO: whether AI crawlers can reach your pages, read your structured data and trust your site. Every fix is ranked by impact, backed by data, not opinions.
4Prove the upliftWe measure again after you act
After every change we re-run the same questions, the same way, and compare the result against the noise. So you can prove the uplift is real, not luck.
Nine numbers. Every one you can rely on.
Prompt volume
How often people actually ask AI each question, so you track what matters.
Industry coverage
How much of your category's real AI demand your tracked questions cover.
Real visibility share
How often you're named, across the questions buyers really ask.
Trend & volatility
Not just where you rank, but how steady you are.
Competitive benchmark
Your competitors, measured the exact same way.
Platform mix
Which AI engine mentions you most, and which one is dropping you.
Sentiment & framing
Positive, neutral or negative: how AI talks about you, not just whether it mentions you.
Source & citation graph
The pages AI leans on when it talks about your category.
Brand fact check
Where AI gets your pricing, policies or facts wrong.
Questions teams ask before they measure properly.
Why do AI answers change every time I ask the same question?
The same prompt can give you a different answer every time you run it. The answer also shifts with how you phrase it, your location, your conversation history and which model version you hit. That is why asking a question once is not a measurement. It is an anecdote.
What is GEO (Generative Engine Optimization)?
GEO (also called AEO, or Answer Engine Optimization) is the practice of measuring and improving how AI answer engines like ChatGPT, Gemini, Perplexity, Claude and Copilot describe and recommend your brand. SEO used to optimize your rank in a list of links. GEO optimizes your place inside a single generated answer.
How is Relevant different from other AI visibility tools?
Relevant is built as a statistical measurement system, not a dashboard. We work out which questions matter instead of asking you for a list, and we ask the same question dozens of ways, across phrasings, personas, engines and conversation turns. Every metric comes with a score you can trust, and every recommended fix is ranked by how much it actually moved the needle.
Why does my brand's score differ across GEO tools?
Most tools track a small prompt list you hand them and read each prompt once. Different lists and one-off readings give different numbers, and none of them tell you how sure to be. Relevant works out which questions matter most in your category and asks each one many times, so the score is stable, comparable, and a score you can trust.
What does a confidence interval on a visibility score, like 62% ± 6, mean?
It tells you how sure to be. A score of 62%, plus or minus 6, means your real visibility is probably somewhere between 56% and 68%. If a weekly change falls inside that range, it is just noise, not a real drop, and we say so instead of alarming you over nothing.
Does Relevant tell us how to improve, or just report?
Both. Every report comes with ranked, specific recommendations tied to the source, engine and prompts they affect. We re-measure after you act, so each fix comes with a real, measured result instead of generic advice.
Which AI engines does Relevant track?
ChatGPT, Google Gemini and AI Overviews, Perplexity, Claude and Microsoft Copilot, including default and reasoning tiers where they answer differently.
How many prompts do you track, and who chooses them?
We do. Instead of asking for your prompt list, we work out which questions matter most in your category and recommend a set weighted toward what people actually ask. For example, 50 prompts might cover roughly 41% of the questions people ask in your category, and we tell you exactly which prompts to add to cover more.
How fast do recommendations show results?
It varies by fix and engine. Because we ask the same questions the same way every time, you see movement as soon as the engines pick up the change, usually within days to a few weeks. And you see it with a clear sense of how sure we are, so you know whether the move is real.
Do you track by country and language?
Yes. We track answers by city and language wherever you compete, because visibility in one market tells you nothing about visibility in another. That includes deep coverage of markets like India, with local phrasings such as Hinglish, alongside global English tracking.
AI's answer will keep changing. Your numbers shouldn't.