What is generative engine optimization (GEO)?
How AI assistants choose which sources to cite, and what you can change.
Guide
Mentions, citations and share of answers, a monthly test you can run yourself, and what raises the numbers.
AI visibility is how often AI assistants bring up your company when buyers ask them about your market. You measure it by putting a fixed list of buyer questions to ChatGPT, Perplexity and Google AI Overviews, several times each, and counting the answers that name you or link to your site. You raise it with clear pages on your own site and with mentions on the sites these assistants read.
Three counts make up the picture. Track them apart, because each one moves for its own reasons.
We also check accuracy: does the assistant get your prices, services and location right? Being named with last year’s price can cost you more than being left out.
The same question gets a different answer on the next try. In our November 2026 study we asked ChatGPT the same agency questions three times each. The three lists of named agencies shared only 17 % of names on average (Jaccard index). Country matters too. When we asked the same question from other countries, the list overlapped with the US list by only 9 to 21 %.
So one good screenshot is not a result, and one bad answer is not a verdict. You need many answers to the same questions, collected the same way every time.
Take 10 to 30 questions in the words your buyers use. Mix three kinds: category questions without your name (“best payroll software for small teams”), questions with your name (“is [brand] good for agencies”) and comparisons (“[brand] or [rival]”).
The first kind counts most. That is where a buyer who has never heard of you builds a shortlist.
We use ChatGPT with web search, Perplexity and Google AI Overviews. Add Copilot or Gemini if your buyers use them.
Ask from the country, and the city if you sell locally, where your buyers are. Use a clean session with memory off, so your past chats do not tilt the answers toward you.
We do three runs per question in each engine. With fewer runs, the count jumps around by chance.
For each run, write down: named or not, linked or not, which URL, who else was named, which sources were cited, and whether your facts were right.
A spreadsheet is enough to start.
If you change the questions, you lose the comparison. New questions go into a separate group, and the old ones stay.
Google AI Overviews need a slightly different routine. There is no chat: you search the query in Google and note whether an overview appears and whether it links to you. In our study an overview appeared on 146 of 155 results pages, including commercial “best agency” searches. So track Google overviews for sales queries too, not only for “what is” questions.
ChatGPT also rewrites your question into its own searches. In our study it added the current year to 44 % of them. That is why the log keeps the cited sources, not only the final text.
The search engines’ own webmaster tools give part of the picture. Bing Webmaster Tools has an AI Performance report, in public preview, that shows when your site is cited in Copilot and in Bing’s AI summaries. Google Search Console counts appearances in AI Overviews inside its usual Performance report, together with regular results under the Web search type, and does not show them as a separate line. Neither tool covers ChatGPT or Perplexity, so the question set stays the main method.
Track them apart, because each one moves for its own reasons.
| Metric | How we count it | What it tells you |
|---|---|---|
| Named rate | answers that name you ÷ all answers, per engine | how often buyers see your name |
| Linked rate | answers that link to your site ÷ all answers | how often you serve as a source |
| AI Overview coverage | queries with an overview ÷ tracked queries | how much of your demand Google answers with AI |
| Overview links to you | queries where the overview links you ÷ tracked queries | your place among Google’s AI sources |
| Rivals named | how often each competitor appears | who holds the spot you want |
| Top sources | domains cited most often | which outside sites to work on |
| Fact errors | answers with a wrong price, service or place | what to correct on and off your site |
Keep every number per engine. A blended “AI score” hides it when engines move in different directions, as they did on our own site.
More on page layout is in our guide to AI citations and our ChatGPT SEO guide.
Assistants read what other people write about your market, and that often weighs more than your own pages.
We track aoe.kz, our agency site in Almaty, with Russian-language questions. ChatGPT and Perplexity get five “recommend an agency in Almaty” questions, three runs each, through the API with web search on and location set to Kazakhstan.
| What we counted | Oct 6, 2026 | Nov 2, 2026 |
|---|---|---|
| ChatGPT names AOE | 5 of 15 | 12 of 15 |
| Perplexity names AOE | 6 of 15 | 5 of 15 |
In Google, AI Overviews linked to aoe.kz in 0 of 17 tracked queries on September 22, 2 of 20 on October 6, and 2 of 17 collected on November 2.
ChatGPT moved a lot in one month. Perplexity stayed where it was. We edited pages and earned mentions over the same weeks, so we cannot tie the rise to a single change. This is one market and a small set of questions. It shows the method at work, not what will happen in your market.
A blended “AI score” hides it when engines move in different directions, as they did on our own site.
There is no shared benchmark. Every question set gives its own baseline. Compare your numbers with your own last month, and with the rivals named in the same answers.
Several tools run question sets on a schedule. Check how many runs per question they make, which country they ask from, and whether they save the cited sources.
Once a month with the same set suits most companies. After a big change to a key page, an extra check a week or two later shows whether Google has started linking it.
Yes. Our free AI visibility check asks 10 buyer questions once each and sends you a table. The AI visibility audit asks 30 questions in ChatGPT, Perplexity and Google AI Overviews, three runs each, and ends with a ranked list of fixes. Monthly tracking and the fixes themselves are part of our AI search optimization work.
Keep reading
How AI assistants choose which sources to cite, and what you can change.
How answer engines pick a source and what to check on your pages.
How language models learn about your business, and how to check and fix what they say.
Who does the work, who owns the client and how reports and pricing work.