Plain definitions

What is answer engine optimization (AEO)?

Answer engine optimization (AEO) is the work of getting your product named, quoted, or linked when someone asks ChatGPT, Perplexity, Claude, Copilot, or Google’s AI features a question. It is a marketing label, not a standard. No AI company publishes an AEO spec. What they do publish is how their search features find pages, and that is the part worth reading.

What the term means

An answer engine is a product that replies with an answer instead of a list of ten links. ChatGPT search, Perplexity, Claude with web search, Microsoft Copilot, and Google’s AI Overviews and AI Mode all work this way. Most of them show the pages they used as citations or source links.

AEO is the effort to be one of those pages, or to be the product the answer names. The term came out of the search marketing industry. It has no owner and no official definition. Two people selling AEO can mean different things by it, so ask what they will actually change.

Google has a view on the label. Its guide to generative AI features in Search mentions answer engine optimization and generative engine optimization by name, and says that optimizing for generative AI search is still SEO. It suggests you check third-party AEO advice against Google’s own documentation. That is a fair test for any vendor’s product, not only Google’s.

How an answer engine finds a page

The common pattern is retrieval. The system runs one or more searches, reads some of the pages that come back, and writes an answer from them. Google calls this retrieval-augmented generation, or grounding, and says its AI features can also use query fan-out: several related searches issued at once to gather a wider set of pages. If your page is not in the index those searches hit, it cannot be a source.

Each company documents its own version of that pipeline:

What each company says about being a source. Every row is from that company’s own documentation.
Company What it documents
Google A page can be a supporting link in AI Overviews or AI Mode if it is indexed and eligible to show in Search with a snippet. The AI features page says there are no additional requirements and no special optimizations necessary.
OpenAI The publisher FAQ says any public website can appear in ChatGPT search, and that to be included in summaries and snippets you should not block OAI-SearchBot. The search help article says ChatGPT sometimes uses other search providers and that placement is not guaranteed.
Perplexity The crawler docs say PerplexityBot is what surfaces and links sites in Perplexity search results, and recommend allowing it and Perplexity’s IP ranges. The help center says each response includes citations and links to original sources.
Anthropic The crawler article lists Claude-SearchBot, which crawls to improve search result quality. Blocking it stops your content from being indexed for search, which Anthropic says may reduce visibility and accuracy in search responses. Claude’s web search article says every response that uses search includes citations.
Microsoft Microsoft’s Copilot web search page says Copilot turns a prompt into a short search query, sends it to Bing, and uses what comes back to write the response. Bing Webmaster Tools has an AI Performance report that counts citations in Copilot, AI-generated summaries in Bing, and some partner integrations.

Read together, these say one thing clearly. The first job is to be findable by the search system each product uses. None of them publishes a list of signals that decides which findable page gets quoted.

What AEO work looks like

Most of what gets sold as AEO falls into five buckets. The label after each one says whether a vendor documents it or whether it is practice people have observed.

  1. Crawl access

    Documented. Allow the search crawlers you want to appear in: Googlebot, OAI-SearchBot, PerplexityBot, and Claude-SearchBot. Copilot searches through Bing, so Bing has to be able to index you too. Check your host or firewall too. Perplexity documents allow rules for Cloudflare and AWS WAF because a firewall can block a crawler that robots.txt allows. The crawler guide has each token and what it controls.

  2. Pages a system can quote

    Partly documented. Google says important content should be in text, and that you do not need to chop pages into small chunks or write in a special style for AI. Microsoft’s Bing team says clear headings, tables, and FAQ sections help surface key information. Beyond that, the habit of writing one plain sentence that answers the question near the top of the page is observed practice. It is what a reader wants anyway.

  3. Plain category words

    Observed practice. If a buyer asks for “a form tool that takes payment” and your homepage says “the future of data capture,” a retrieval system has little to match. Google says its systems understand synonyms, so you do not need every variant of a phrase. You still need to say what the product is.

  4. Other people’s pages

    Partly documented. Google’s optimization guide says its AI features can reflect what is said about products across the web, including blogs, videos, and forum discussions. It also says chasing inauthentic mentions is less helpful than it might seem, because ranking and spam systems still apply. The competitor guide covers how a roundup you are missing from can decide an answer.

  5. Measurement

    Documented, in pieces. Google Search Console has a Generative AI performance report for impressions in AI Overviews and AI Mode. Bing Webmaster Tools has its AI Performance report. OpenAI says ChatGPT adds utm_source=chatgpt.com to referral links. Nobody gives you one dashboard across every engine, and none of these reports shows the exact sentence an answer used.

Claims to check before you pay for them

  • A citation rate or a share of voice number with no method. None of the five companies above publishes how often a given page type gets cited. Ask for the prompts, the engines, the dates, and the country.
  • “We will rank you first in ChatGPT.” OpenAI says placement is not guaranteed. There is no fixed first position in a generated answer.
  • Special files or markup required for AI. Google says Search does not use llms.txt and that no special schema.org markup is needed for its AI features. Structured data is still useful for rich results, and it has to match the visible page.
  • A tool that reads Google’s internal scores. Google’s optimization guide says no third-party tool has access to its internal ranking or AI systems.
  • Mass-produced pages aimed at prompts. Google says creating many pages mainly to manipulate rankings breaks its scaled content abuse policy. That applies to pages written for AI answers too.

A first week of AEO for a small site

  1. Write five buyer questions that do not contain your product name. Run them by hand using the manual check. Write down who was named and which pages were cited.
  2. Open robots.txt and confirm the search crawlers named above are allowed. Ask your host whether bot protection challenges them.
  3. In Google Search Console, check that the Search generative AI setting is include. Google’s AI Overviews guide explains it.
  4. Read your homepage and pricing page as a stranger. Does a sentence near the top say what the product is, who it is for, and what it costs? If not, add one.
  5. Open the pages that were cited for your questions. If they are roundups that leave you out, that is a real gap. Writing to the author with accurate information is fair. Paying for a placement you do not disclose is not.
  6. Run the same questions again in a month. Compare the wording, not a score.

What AEO cannot promise

Answers change between runs, between accounts, and between countries. A page that was cited on Tuesday can be gone on Friday with nothing changed on your side. AEO done honestly is a set of checks that make your pages findable and clear. It cannot make a model choose you. Any guarantee that it will is a sales line.

Related: check if ChatGPT recommends your product, and which crawler token does what.

Sources