Definition
Also written: AEO
No agreed definition
Answer engine optimization is structuring content so a direct answer can be lifted cleanly into a featured snippet, a People Also Ask entry, a voice response or an AI summary. It predates the current AI wave — the original concern was voice assistants — and overlaps heavily with both SEO and GEO.
The practical pattern is consistent across independent guides: lead a section with a concise, self-contained answer of roughly 40 to 60 words immediately after a heading that reads like the question, then follow with mechanism, evidence and caveats.
That works for a mechanical reason rather than a stylistic one. Retrieval systems chunk documents before ranking them, frequently at heading boundaries, so the passage — not the page — is the unit being embedded and quoted.
The usual error
Where this goes wrong in practice
Adding FAQ schema and expecting a rich result. Google discontinued the FAQ rich result for nearly all sites from May 2026; the markup is still valid and still helps parsing, but that visible listing is gone.
Related terms
Generative engine optimization (GEO)
Generative engine optimization is the practice of improving how a source is used by AI systems that synthesise answers rather than list links. The term comes from a 2023 academic paper (arXiv:2311.09735, later accepted at KDD 2024) that measured how often a document’s content was reflected in a generated answer.
DefinitionFeatured snippet
A featured snippet is a short extract Google promotes above the standard results to answer a query directly, drawn from a page already ranking for it. Formats include a paragraph, an ordered or unordered list, and a table, and the format Google chooses follows the shape of the query.
DefinitionFAQ schema
FAQ schema (schema.org FAQPage) marks up question-and-answer content so machines can read the pairs. It is still a valid schema type, but Google discontinued the FAQ rich result for nearly all sites starting in May 2026, with phased removal from Search Console tooling through that August.
DefinitionPeople Also Ask (PAA)
People Also Ask is the expandable block of related questions Google shows within results, each opening to a short extracted answer and a source link. The questions are generated from real related queries, which makes the block a usable source of genuine subheadings.
DefinitionAgentic workflow
An agentic workflow is an automation where a language model completes several connected steps toward a goal — researching, classifying, drafting, routing, reporting — deciding the order within defined rules, rather than executing a fixed script. Human approval points are part of the design, not an afterthought.
DefinitionAI Overviews
AI Overviews are Google-generated summaries shown above traditional results for some queries, assembled from pages in the ordinary search index and shown with links to the sources used. Eligibility requires that a page is already indexable and snippet-eligible in normal Search.
DefinitionLLMO, AISO and GSO
LLMO, AISO and GSO are vendor terms for largely the same work as GEO and AEO: making content that AI systems can read, trust and reference accurately. No academic or platform-official definition separates them, and industry sources contradict each other on where the boundaries fall.
Definitionllms.txt
llms.txt is a proposed convention: a Markdown file at a site’s root listing its important pages for AI systems. Adoption has grown quickly, but current measurement shows AI crawlers largely ignore it and fetch HTML directly instead.
DefinitionPrompt injection
Prompt injection is an attack where instructions hidden in content an AI system reads — a web page, an email, a document, a form submission — are treated by the model as commands rather than data. It is the main security concern for any agent that ingests untrusted input.
DefinitionRetrieval-augmented generation (RAG)
Retrieval-augmented generation is an architecture where a language model answers using documents fetched at query time rather than relying only on training data. The system splits sources into chunks, embeds and ranks them, places the best matches into the model’s context, and generates an answer from those.
Definition