What AEO is
Answer engine optimization is the work of getting your brand into the answers AI assistants write, and into the list of sources under them, across ChatGPT, Claude, Gemini and the AI blocks on search results pages. The goal is the one SEO always had, to be the answer when someone in your category asks the obvious question; the place it happens and the way it is measured are new.
“Generative engine optimization” (GEO) and “LLM SEO” name the same practice. We say AEO because the unit of competition is the answer: whether it comes from Google’s AI Overviews, Perplexity or Claude, you are trying to land in the answer a person reads.
How AEO differs from SEO
SEO targets the ten blue links. Success is a position from 1 to 100 for a keyword, and the click is the goal. AEO targets the written answer above those links. Success is a mention or a citation, measured for each assistant and each question, and some of the value lands in the answer before anyone clicks.
The fundamentals overlap heavily: authoritative content, clear structure, schema markup, internal links and topical depth help both. The weighting and the measurement differ, as the AEO vs SEO entry explains.
How assistants choose what to cite
There are two routes, depending on whether the assistant searches the web before it answers.
- Assistants that search run a search, read the pages it returns and write an answer with citations. Your chances follow SEO fundamentals: rank for the underlying search, have a passage that answers the question cleanly, and sit on a site the assistant trusts.
- Assistants answering from memory rely on what they learned in training. Your chances depend on how often, and how well, your brand was discussed across the web before that training.
Both routes reward the same thing: credible, lasting coverage of your brand on sites other than your own. AEO is more about building the brand on sources assistants trust and less about tuning one page.
Content patterns that get cited
Three patterns show up often in the passages assistants cite:
- A direct answer near the top. Open with the answer in a sentence or two and expand below. A passage that stands on its own is easy to quote, for a reader or a model.
- Comparison tables and definitions. Comparisons and “best of” lists are easy to summarize, and a single row can be quoted without losing its meaning.
- Question and answer sections. Questions phrased the way people ask them, each with a short, direct answer.
The common thread is clear, structured content that answers the question. For its own AI features, Google says no special optimization is needed beyond SEO best practice.
Brand familiarity signals
Citable pages get you into answers from assistants that search; a familiar brand gets you into answers from all of them. The signals that help most:
- An accurate Wikipedia article or, failing that, an accurate Wikidata entry.
- Coverage on sites assistants trust: trade publications, analysts and established review sites.
- One consistent brand name across the web, in the press, on directories and on your own site, so systems can tell it is the same company.
None of these are quick wins. AEO builds over quarters, which is why measurement matters: you need a baseline and a trend to know whether the work is paying off.
How Rank.ai measures AEO
Rank.ai asks ChatGPT, Claude and Gemini your buying questions every day through each engine’s API, with web search on, and you can switch on Perplexity, Grok or DeepSeek for any question. For each answer it records whether your brand was named, every page the answer cited in order, and where your own site first appears in that list.
Because the same question can get different answers from one run to the next, the questions stay fixed and the report shows the trend over time. See LLM visibility for how the numbers are worked out, and our AEO tools comparison for the other software that measures AEO.