What is answer engine optimization (AEO)?
How answer engines pick a source and what to check on your pages.
Guide
How AI assistants choose which sources to cite, and what you can change.
Generative engine optimization (GEO) means getting a business into the replies that AI assistants write: ChatGPT, Perplexity, Gemini, Google’s AI Overviews. A search results page offers ten links to choose from. An assistant offers one composed reply, and a brand either appears in it or does not. GEO is about appearing in it, as a named option or as a quoted source.
The name was coined in a 2023 paper, GEO: Generative Engine Optimization, written by a team from Princeton University, IIT Delhi and two independent authors. They rewrote source texts in controlled ways and measured how visible each source became in AI-written replies. Three edits helped most: pointing to sources, adding quotes, adding numbers. The paper reports up to 40% higher source visibility in their tests.
With web search switched on, a reply usually goes through three stages:
That gives a business two routes in. Either one of its own pages becomes a source, or it is named on the pages the assistant opens.
We watched the second route at work on October 19, 2026. Through a ChatGPT scraping service (web search on, US location) we asked which GEO agencies suit small and mid-size companies. The reply named six agencies and leaned on four “best agencies 2026” round-ups plus the agencies’ own sites. Two agencies appeared with a starting price, and one of the four round-ups had been published by an agency that ranked itself first. A single question proves nothing on its own, yet the lesson is practical: round-up articles carried a lot of weight, and so did a plain service page with a price on it.
| Classic search results | AI-written reply | |
|---|---|---|
| What the user sees | ten links in order | a paragraph or a short list |
| What a business wants | a high spot | a mention or a quote |
| What helps | relevance, links, page quality | the same, plus being named by sources the assistant trusts |
| What to count | rank, clicks, impressions | how often you are named across a fixed list of questions |
| How much it moves | little from day to day | the same question can produce a different reply each time |
There is a lot of common ground. A quick, clear page that already ranks well is often among those the assistant opens. GEO adds two layers on top: work on other people’s sites and a different way of counting results.
Page layout, such as putting the answer first and using tables, is covered in our AEO checklist. For GEO, check three more things:
Your company name, what you sell, your city and founding year should read the same on your site, in directories and on your social profiles.
Mixed versions make it harder for an assistant to tie the mentions together.
Schema.org data for the organization, its services, articles and breadcrumbs gives search engines a clean outline of each page.
Make sure robots.txt lets in OAI-SearchBot, PerplexityBot and Googlebot, the crawlers that feed search-based replies.
GPTBot, ClaudeBot and Google-Extended relate to model training and some assistant features; whether to allow them is your call. Shutting out Google-Extended will not take you out of AI Overviews, because those come from Googlebot.
Either one of its own pages becomes a source, or it is named on the pages the assistant opens.
Since replies are built from pages you do not own, part of the job happens off your site:
One check means little, because the same question can get a different reply an hour later. A method that holds up:
We tried this on our own website, using Russian-language queries in Almaty, Kazakhstan. On September 22, 2026, Google’s AI Overviews (desktop results) linked to our site for 0 of 17 tracked queries; on October 6 it was 2 of 20 (three queries had been added). The two links on October 6 were for “mobile videographer” and “what is a mobile videographer”. For “what is a mobile videographer” and “local SEO” the link showed up at the next weekly check, 1 and 7 days after we rewrote the page so its opening paragraph answered the question. For “mobile videographer” it took 8 days. By October 6 the “local SEO” link was gone again, a reminder of how unstable these citations are. There was no control group, so we read this as a pattern on one site, not as proof.
Over the same two weeks we saw no growth in mentions by ChatGPT and Perplexity. In September we ran each question once and from October 6 three times, so those counts do not line up exactly.
Look up the “best X for Y” pieces that appear for your buyers’ questions and invite their authors to look at your company.
People mix the terms freely. AEO, answer engine optimization, tends to mean shaping a page so a short answer can be lifted from it. LLM SEO adds what a model knows from training. GEO reaches further: it covers mentions on other sites and tracking what assistants say over time.
No. Many assistants find pages through a search index, so a page nobody can find in search rarely becomes a source. Think of GEO as a layer that sits on a sound SEO base.
In our own test, AI Overviews started linking to rewritten pages after 1 to 8 days, and one of those links had disappeared a week later. Being named by ChatGPT or Perplexity depends more on other sites, and we have no measured timeline for that yet.
Yes. The counting method above needs a spreadsheet and some hours each month. Outside help makes sense when you want it done monthly across many questions and assistants, together with the off-site work. See our AI search optimization service, or our white label offer if you run an agency.
Keep reading
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.
A practical split of SEO work between your team and an outside agency.