Start with what does not change
It is worth saying clearly, because a lot of commentary implies otherwise: the foundations are the same. A page that cannot be fetched, a site with no clear subject, a business with no trace anywhere but its own homepage — those are problems for search engines and answer engines alike.
So the boring disciplines carry straight over. Pages that load and can be crawled. Content written by somebody who knows the subject. Internal links that make the structure obvious. Accurate, consistent business details. A reason for anyone else on the web to mention you. If you have neglected all of that, "doing AEO" is not a separate project; it is the same project with a wider purpose.
This matters commercially, because the framing you are sold affects what you buy. If an agency proposes replacing your search work with an entirely new discipline, ask which of the foundations above they consider obsolete. Usually the honest answer is none of them, and the real proposal is a change of emphasis plus a different way of reporting results.
What genuinely changes
The differences are real, and they are mostly about what counts as winning.
- The unit of success: a ranked position among many links, versus inclusion in a short answer that names only a few businesses.
- The outcome: a click to your site, versus a mention that may resolve the buyer’s question without any visit at all.
- The shape of content: pages built to hold attention, versus passages built to be lifted out and stand alone.
- What authority looks like: links as a signal of reputation, versus corroboration — several independent sources saying compatible things about you.
- Stability: rankings that move gradually and can be checked on demand, versus answers that vary between runs, platforms and users.
- Measurement: a reported position from tooling fed by the engines, versus sampling many prompts repeatedly because no platform publishes your inclusion rate.
- The technical layer: classic crawl and index hygiene, plus a deliberate decision about which AI crawlers and retrieval agents you permit.
The measurement gap is the biggest practical difference
In search, you can ask a tool where you rank and get a number, and your analytics will tell you what that position delivered. In AI answers, neither end of that chain is available in the same way. There is no authoritative inclusion report, and a mention that does not produce a click is largely invisible in your analytics.
That changes how you manage the work. Instead of one reliable figure you track a distribution: a fixed set of buyer questions, asked repeatedly across platforms, recorded for whether you appeared, how you were described, whether you were recommended or merely listed, and who else was named. The method is set out in our article on measuring AI visibility.
It also changes how you talk about results internally. "We moved from position six to three" has no equivalent. "We were named in roughly half the sampled answers for this question set, up from almost none, and the description is now accurate" is the honest form of the same progress report.
Where the two disciplines reinforce each other
Several AI surfaces retrieve from a conventional search index before generating an answer, which means ordinary indexability remains a prerequisite rather than a legacy concern. A page that ranks respectably for a question is at least eligible to be retrieved when an assistant goes looking for a source on that question.
The reverse also holds. Rewriting a page so it answers the question in the first two sentences — the core AEO habit — tends to help human readers and traditional snippets too. You rarely have to choose between the two; you have to stop assuming the old scoreboard is the only one.
The factual hygiene works both ways as well. Consistent business details across your site and third-party listings have long helped local search results, and they are also what allows a generative system to be confident about which business you are. One piece of tedious work serves both ends, which is a good argument for doing it first.
What changes in how you allocate effort
Three shifts are usually worth making, and none of them requires abandoning existing search work.
- Spend more on facts and less on volume. A smaller number of unambiguous, well-structured pages beats a large library of near-duplicates, because extraction rewards clarity rather than coverage.
- Treat consistency as a deliverable. Conflicting service areas, trading names or descriptions across your site and third-party listings actively harm the answer you get.
- Budget for corroboration as well as content. Being the only source that says you are a specialist in something is a weak position when the system is looking for agreement between independent sources.
What not to conclude
Do not conclude that search is over. Link-based results are still used heavily, particularly for navigational and transactional queries where people want to get to a specific site, and the infrastructure behind them feeds several AI surfaces. The comparison in our article on AI search versus Google search goes into where each is actually used.
Equally, do not conclude that AEO is a one-off technical job. It is an editorial habit applied to the pages that matter commercially, maintained as your services change. If you want the tactical sequence, see our guide to appearing in AI search; if you want to know what to fix first once you have a baseline, see how to improve your AI visibility.
Finally, do not conclude that either discipline comes with guarantees. Search rankings were never promised, and inclusion in a generated answer is less predictable still, because the output varies between runs by design. The difference in certainty is worth stating out loud before anyone sets a target that cannot be hit reliably.
Last reviewed 21 July 2026. AI Says is not affiliated with or endorsed by OpenAI, Google, Anthropic, Perplexity or other AI and search providers; platform names are used descriptively.