SEO & AEO

Why SEO and AEO have converged

A search engine and an AI assistant are both trying to answer the same question — "is this a trustworthy, relevant source for this query" — using largely the same underlying signals: can the page be crawled and understood, does the content directly and factually answer the query, is the site structured so a machine can extract a clean answer rather than guess at one. Treating SEO and AEO as separate disciplines usually means duplicating the technical and content work under two different names, or worse, optimizing for one in a way that actively works against the other — keyword-stuffed copy ranks worse with AI assistants precisely because it reads as written for an algorithm rather than a person.

What's actually different is the endpoint. Classic SEO ends when your page ranks and a person clicks through. AEO ends when an AI assistant lifts a specific, accurate passage from your page and states it as fact — which means the content itself has to be citable: a direct, self-contained answer a model can quote without needing to interpret or stitch together fragments from elsewhere on the page.

What a typical engagement looks like

We start with an audit covering both sides at once — the technical SEO fundamentals (crawlability, indexing, site speed, structured data) and an AI-visibility check (how, or whether, assistants like ChatGPT and Perplexity currently describe the business, and how accurately). That audit becomes the fix list: technical issues first, since nothing else matters if the site isn't indexable, then on-page optimization and schema/structured-data work targeted at both classic rankings and answer-engine citability.

After the initial fix phase, it moves to an ongoing monthly cycle — tracking rankings and AI mentions, adding or refining content and schema based on what's actually moving (or not), and reporting both numbers together rather than as two disconnected dashboards. The two disciplines get one strategy because in practice they respond to the same underlying work.

What we don't do

No keyword stuffing, no link schemes, no fabricated reviews or manufactured "trust" signals, and no guarantees of specific rankings or AI mentions — anyone promising a page-1 guarantee is either overselling or planning to cut corners you'll eventually have to clean up. The fundamentals — genuine content depth, technical health, and accurate structured data — are slower than shortcuts, but they're the version that doesn't get penalized or quietly stop working after an algorithm update.

How we measure it

Classic rankings and organic traffic are tracked the normal way — search console data and analytics, reviewed monthly against the keywords that actually matter to the business rather than vanity terms. AI visibility is checked more directly: we periodically query the assistants your customers are likely to use, with the kind of question a real prospect would ask, and note whether the business gets mentioned at all, and whether what's said about it is accurate. That second check matters on its own — it catches cases where an AI assistant is confidently describing a business incorrectly, which is a trust problem no ranking report would ever surface.