Answer Engine Optimization (AEO)

What actually gets you cited

Answer engines do not rank ten blue links and let you pick. They synthesise one answer and cite a handful of sources. These are the signals that decide whether you are one of them.

• Answer-first chunking. a clear claim stated up front in a self-contained passage an LLM can lift without reading the rest of the page or guessing at context.
• Entity legibility. the model can tell who you are, what you do, and how you connect to the topic, because your organisation and people are described consistently across the site and the web.
• Author identity and E-E-A-T. named authors with real credentials, unified across every byline and profile, so the experience and expertise behind a claim are visible to the model.
• Structured data that agrees with itself. JSON-LD that reconciles to one clean version per page, so the machine reading you is not handed three conflicting stories about the same entity.
• Source trust. the corroboration, citations, and consistency that make a model treat your page as safe to repeat rather than a claim it cannot verify.
• Answer present at fetch time. the actual answer sitting in the response an AI crawler receives, in plain text, not assembled later by a script the bot never runs.

What an AEO engagement delivers

The same diagnostic instinct as a technical audit, pointed at AI search. Diagnosis first, then the fixes that move citation eligibility most, then a record of whether it worked. Where the work is structured data or topic coverage, AEO writes the spec and the sibling engagement delivers it.

• AI-crawler readability audit. a read of what GPTBot, ClaudeBot, PerplexityBot, and the Google AI crawlers actually receive from your pages, and where the answer goes missing.
• Citation-eligibility restructure. content reshaped into extractable, answer-first chunks with the claim, the support, and the context a model needs in one place.
• Citation signal spec. a precise spec for what your structured data and entity must say for an answer engine to attribute you, handed to the schema work that implements it (see Schema and structured data).
• Author and entity legibility check. a read on whether your author and organisation are legible enough for an LLM to attribute a claim, with the unification work itself owned by the schema engagement.
• AI-search visibility tracking. a setup that monitors whether the answer engines cite you for your target questions, so this stops being a channel you cannot see.

When AEO is the right call

AEO fits content brands, B2B service companies, and SaaS where buyers genuinely ask AI tools for recommendations, comparisons, and how-to answers, and where you have real expertise worth citing. It pairs naturally with an SEO engagement because most of the plumbing is shared: the structured data and content structure that help Google are what let an answer engine read and trust you. Fix it once, both channels benefit.

It is the wrong call if nobody is asking answer engines about your category yet, or if the underlying content does not actually answer the questions buyers ask. Chasing citations on thin or absent content is wasted money. In that case I will say so, and we start with the content and the technical foundation first. AEO is a multiplier on substance, not a substitute for it.

Common questions

How is AEO different from SEO?

SEO works to rank your page in a list of links a person chooses from. AEO works to be the source an AI answer engine extracts and names inside a single synthesised answer. They share most of the technical plumbing, but the target is different: a citation in the answer, not a position in the list.

Can you guarantee ChatGPT or Perplexity will cite us?

No, and anyone who guarantees it is selling something. Answer engines are non-deterministic and change often. What I can do is fix the signals they demonstrably use to choose sources, then track citations for your target questions so you can see the trend rather than guess. Honest probability, measured, beats a promise.

Do we need to track AI search separately from Google Analytics?

Yes. Analytics shows clicks that already happened. AI-search visibility tracking shows whether the engines name you when someone asks your target questions, which often produces no click at all. Without that monitoring, AEO is a channel you are working on blind, so the tracking setup is part of the engagement.