What is AEO? (Answer Engine Optimization)
How to surface inside the direct answers produced by ChatGPT, Claude, Gemini and Perplexity — and why AEO complements SEO rather than replacing it.
How AEO differs from SEO
SEO aims to rank a page in a list of results. AEO aims to place your brand *inside* the answer. Where a classic search engine returns ten blue links, an answer engine (ChatGPT, Claude, Gemini, Perplexity) returns only three or four — and often no links at all. Optimizing for this format demands a different approach: you no longer climb a SERP, you get *selected* as a source by the model.
The three levers
- Cited sources — recognized press articles, industry dossiers, independent comparisons that establish your brand's presence.
- Structured schemas —
Article,FAQPage,Organization,Product: JSON-LD that helps the model bind your entity to your content. - Named entities — a name, a Wikipedia page, a consistent LinkedIn profile: what models use to disambiguate two same-named brands.
A structured-data block, ready to paste
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is AEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "AEO, or Answer Engine Optimization, is the set of techniques that make a brand eligible to appear inside the direct answer formulated by a conversational engine."
}
}
]
}The diagram

Three inputs, one output: the answer box the model writes. If any one of these three inputs is weak, your brand falls out of contention — even if the others are excellent.
What Plavra measures for you
Every week, Plavra checks whether your three levers are paying off: who cites your brand, which structured schemas are valid on your domain, and what place your entity holds in the models' memory. You walk away with a precise action list — not a generic report.