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Technical & AEO · 3 min read

AEO and SEO: What Actually Changes

Answer engine optimisation is an emphasis inside SEO rather than a separate discipline. What genuinely differs, and an honest note on measurement.

The short answer

AEO is a shift of emphasis within SEO rather than a replacement for it. The same crawlable, fast, authoritative site is the foundation. What moves up the priority list is content structure, because models extract passages rather than pages, along with entity consistency and accurate schema. What moves down, somewhat, is raw link volume. If you are doing SEO properly you are most of the way there already.

The one difference that matters most

Classical SEO rewarded whole pages, while answer engines extract individual passages. That single change explains nearly every tactical difference between the two.

It means a page that buries its answer seven hundred words down loses to a competitor who put the same answer in the first paragraph, even if the first page is better overall. Answering directly and early is the highest-leverage change most sites can make, and it improves the experience for human readers at the same time.

What carries more weight now

  • Structure, meaning question-shaped headings and a direct answer near the top
  • Specificity, because a concrete claim with a number is quotable and a generality is not
  • Entity consistency, so a model can be confident which organisation you are
  • Valid schema, which removes ambiguity about what your content means
  • Freshness, since models favour current, dated, maintained sources

What carries less

Link volume still signals authority and still matters. It is simply not the dominant factor it is in classical ranking, because a model selecting a source is weighing whether the passage answers the question cleanly as much as whether the domain is well linked.

Keyword density, which was already a poor guide, matters even less. A model reading for meaning does not count occurrences.

The honest part about measurement

Attribution here is immature and anyone claiming otherwise is overselling. There is no equivalent of Search Console for AI citations.

What works in practice is a fixed set of questions a customer would ask, tested across the major assistants on a schedule, recording whether you were cited. Alongside that, watch referral traffic from AI platforms and branded search volume. It is imprecise and it is better than nothing.

Where the shift matters least

Local and transactional queries are affected far less, because someone searching for a dentist near them still has to choose and contact one. If your traffic is mostly local intent, keep investing in Business Profile and local SEO.

Categories built on explanation are losing the most traffic, and they are where this work is most urgent.

Key takeaways

  • Answer first, near the top, in language a model can lift cleanly
  • Entity consistency and schema matter more than they used to
  • Measurement is immature, so test citations manually against a fixed question set
FAQ

Questions that follow this one

  • Partly, and some of what is sold as AEO is repackaged SEO. The genuinely different parts are optimising for passage extraction, entity consistency and structure. The overlap is large but not total.

  • Only with a specific reason, such as licensed content. Blocking removes any chance of being cited, which is the opposite of what most businesses want.

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