AEO — Answer Engine Optimization
Passage-level structured content, retrievable and citable: every answer becomes a chunk AI engines can extract and attribute directly to you.
What is AEO (Answer Engine Optimization)?
AEO is the practice of structuring content at the passage level so that an answer engine can extract a self-contained fragment and cite it directly.
The operational difference from GEO: AEO deals with the form of the content (a question followed by a short, complete answer with no dependence on context), while GEO deals with whether you are chosen as a source. In practice they overlap, and many practitioners use them as synonyms — we separate them because they call for different work, not because the industry has an official definition.
What's included
Passage-level content
We structure every page into self-contained, extractable passages — exactly the form RAG cites.
E-E-A-T
Experience, expertise, authority, trust: author markup, expertise signals, and sources — verifiable trust signals that anyone can check.
FAQ & structured answers
Real question-and-answer pairs, visible on the page and marked up with schema (FAQPage), for structural clarity.
Citability
We optimize phrasing so your text can be cited directly, with attribution, instead of being paraphrased with no source.
Why it matters
AEO is the new layer most people don't cover. Technical SEO is the foundation; AEO is what actually gets you cited.
E-E-A-T for AI isn't a slogan — they're concrete signals we implement and measure.
What an AEO engagement looks like in practice
We start from the pages that matter commercially and read them like an engine looking for an answer: we find the page's implicit question, check whether the answer appears in the first sentences and whether a passage lifted out of context still makes sense on its own. The most common problems are the answer buried after an introduction, paragraphs that depend on context from elsewhere, and headings that don't say what the section is about.
Then we rewrite the key passages as direct answers (one or two sentences, followed by context), rephrase headings as clear questions or statements, and add real, visible FAQs to the page.
What role schema markup plays
Schema clarifies a page's structure and entities, but it is not a proven citation lever: Google says there is no special markup to add for AI features, and an Ahrefs study of 1,885 pages found no measurable citation advantage after adding JSON-LD. We implement it as technical hygiene — Article with author and date, FAQPage where real questions exist — provided it mirrors the visible text exactly. The details, with sources, are on the Schema.org page.
E-E-A-T: what we do and what we cannot claim
E-E-A-T is the framework in Google's rater guidelines, not a documented filter of AI engines. We treat it as a set of verifiable signals: an identifiable author, experience shown through cases and experiments, cited sources, and consistent information across the site and external profiles. Anyone — person or system — can verify these things, so they are worth building without promising any specific effect on citations.
How we check whether it works
We run the same set of questions before and after changes, in clean sessions and across several engines, and compare: does the brand appear, is it cited with a link, which passage was picked up. Because answers vary from run to run, a single test proves nothing; we repeat and report trends, not snapshots. We do not guarantee citations; we guarantee the agreed deliverables, delivered in full and on time.
About AEO — Answer Engine Optimization
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