AI Hub · Foundations

AEO vs SEO: what is different and what is not

By the FlyRank team, Manchester · Published 15 October 2026

TL;DR: AEO and SEO share the same foundation: crawlable, helpful, well-organised pages. SEO aims to rank pages and win clicks. AEO aims to have your content extracted and quoted inside composed answers. For most businesses the right move is not to choose between them but to add answer-first writing and entity clarity on top of sound SEO. Neither can guarantee a result.

What is the difference between AEO and SEO?

SEO optimises pages to rank in search results and earn clicks, while AEO optimises passages and brand signals so that answer engines can extract, trust and quote them. The first targets a position in a list. The second targets a place inside a written answer.

The unit of work differs. In SEO, the page is usually the unit: its title, links, content and technical health. In AEO, the passage is the unit, because answer engines often retrieve a section rather than a whole page.

The success measure also differs. SEO reports rankings, impressions and clicks. AEO adds mentions and citations in AI answers, which are harder to track and vary between users. We cover practical methods in measuring AI search visibility.

If you need the definition first, start with what is answer engine optimisation.

How do the two compare side by side?

AEO and SEO differ mainly in goal, unit of optimisation, content style and measurement. The table below summarises the differences in practical terms.

Treat this as a guide to emphasis, not a set of separate disciplines. A well-written FAQ can win a featured snippet, an AI citation and a customer, all from the same paragraph.

Key takeaway: SEO optimises for position and clicks. AEO optimises for extraction and quotation. The best pages do both.

What do AEO and SEO have in common?

They share the same base: pages that search engines can crawl and index, content that is accurate and useful, clear internal links, and a trustworthy site. Without that base, neither SEO nor AEO is likely to work.

Google’s guidance for its AI features makes the overlap explicit. It says a page must be indexed and eligible to appear in Search with a snippet, and that no additional technical requirements apply. It also says standard SEO fundamentals still matter, such as allowing crawling, strong internal links and good page experience (Google Search Central).

That means the usual SEO work remains valuable:

• Crawlable, indexable pages with a sensible site structure.
• Helpful content written for people, with original information.
• Internal links that show how topics relate.
• Fast, accessible pages with text a machine can read.
• Credible signals such as author details, sources and reviews.

In practice this is why teams with strong SEO often have a head start in AEO. Pages already ranking for relevant queries are more likely to be seen by systems that search the web before answering. If you are weighing options for Manchester and the North West, an SEO agency in Manchester can cover the shared base while the AEO layer is added.

Does AEO replace SEO?

No. AEO builds on SEO and depends on it, and Google remains the main way most people reach websites. AEO is an additional layer that changes how you write and structure content, not a substitute for search fundamentals.

Answer engines still need sources. Many of them search the web or use an index, so a page that cannot be crawled or understood has little chance of being used. OpenAI’s documentation, for example, says that allowing its OAI-SearchBot crawler helps a site appear in ChatGPT search results (OpenAI crawler documentation). Access is a basic technical requirement, much like allowing Googlebot.

It also helps to be sceptical of strong claims in either direction. Some voices say AEO is entirely new; others say it is only SEO under a new name. The accurate position sits between them. The shared base is large, but there are genuinely different habits: writing a direct answer in the first sentence, making paragraphs stand alone, and building a consistent brand identity across the web.

Be careful with shortcuts. Google states that you do not need AI-specific machine-readable files or special schema.org markup for its AI features. Other systems may behave differently, so it is sensible to test rather than assume. Our llms.txt guide and schema markup guide set out what the available evidence supports.

Which should a business prioritise?

Prioritise SEO fundamentals first if your site has crawling, content or authority gaps, and add AEO practices as soon as your core pages are sound. Most businesses end up doing both in a single content workflow.

A simple order of work looks like this.

1. Fix the foundations

   Resolve indexing problems, thin pages and broken internal links. Check that important pages are reachable and fast.

2. Rewrite key pages answer-first

   Lead each section with a one or two sentence answer, then support it. This helps featured snippets as well as AI answers.

3. Build topic coverage

   Cover the connected questions in your subject, not just one keyword. See topical authority explained.

4. Clarify your entity

   Keep the name, description and details of your business consistent. See entity SEO for UK businesses.

5. Track and adjust

   Monitor both rankings and AI mentions, and keep notes on which pages are cited.

If your priority is being named in AI answers for commercial questions, our answer engine optimisation services focus on that layer while using the same site foundations your SEO relies on.

Key takeaway: do not pick one. Keep SEO sound, then write and structure content so a machine can quote it.