SEO & AEO

SEO vs AEO: How to Write Content That Ranks in Both Search and AI

19 June 2026  ·  7 min read

Search engine optimisation has had a stable playbook for years: target a keyword, match search intent, build topical depth, earn links. It works. But AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot — don't rank pages. They extract passages. And the signals they respond to are meaningfully different from what traditional SEO rewards.

The good news is that optimising for both is possible in a single draft. This guide shows you where they overlap, where they diverge, and how to structure content that scores well on both dimensions — without writing two different versions.

Where SEO and AEO agree

The fundamentals of good writing are the same for Google's crawlers and for LLM-based answer engines. Both reward content that is:

• Topically accurate — covers the subject matter correctly and completely
• Well-structured — uses headings to signal topic hierarchy
• Concise where it matters — doesn't bury the answer in padding
• Authoritative in tone — makes specific claims rather than vague generalisations

If your content is already doing these things, you have a foundation for both. What AEO adds is a layer of additional structural requirements that traditional SEO doesn't demand.

Where they diverge: the key differences

1. Where the answer lives

SEO rewards depth. A long, comprehensive guide that covers a topic exhaustively tends to rank well for a cluster of related queries. AEO rewards extractability. An AI answer engine looking for a definition, a list, or a direct answer to a question doesn't need your 3,000-word article — it needs the 80-word passage inside it that directly addresses the question.

This means AEO-optimised content front-loads answers. If your heading asks "What is keyword density?", the paragraph that follows should open with a direct answer — not a sentence that says "this is a great question that content marketers often ask".

2. Structured lists vs flowing prose

Traditional editorial writing often avoids bullet points in favour of paragraphs that flow naturally. For SEO, this is fine — prose ranks. For AI extraction, lists are gold. They are the most commonly reproduced format in AI-generated answers, and they are extracted almost verbatim when the content matches the query.

The practical implication: where you have three or more related points, convert them to a bulleted or numbered list rather than embedding them in a sentence.

3. Statistical and factual anchoring

AI answer engines prefer content that makes verifiable claims. A sentence like "Studies show that pages with numbered lists earn featured snippets more often" is stronger for AEO than "lists can improve your chances of appearing in rich results." The specificity signals that the content is based on something real, even when the precise statistic isn't cited inline.

4. FAQ sections

For SEO, FAQ sections add structured data opportunities (FAQ schema) and can capture People Also Ask rankings. For AEO, they do something more direct: they create explicit question-and-answer pairings that map exactly to how AI engines retrieve and present information. An AI given a query like "what is the ideal word count for a blog post?" will preferentially extract a passage that opens with that question.

A practical writing workflow

Here's a repeatable process for drafting content that satisfies both SEO and AEO requirements:

1. Start with the primary keyword and search intent — as you normally would for SEO. Understand whether the user wants information, a comparison, a how-to, or a definition.
2. Map your H2s to questions — not just topics. "Keyword research tools" becomes "What are the best keyword research tools for beginners?" The heading change costs nothing but makes the section directly extractable.
3. Write your intro to answer the title first — put the core answer in your first paragraph, then expand. AI engines read top-down.
4. Convert prose lists to formatted lists — any time you write "first… second… third…" in a sentence, restructure as a numbered list.
5. Add a definition paragraph near the top — for any piece covering a concept, include one sentence that explicitly defines it. "X is Y" or "X refers to Y" maps directly to how AI engines handle definition queries.
6. Include a short summary block — either at the top (for AI extraction) or at the bottom (for readers who skim). Keep it under 100 words and self-contained.
7. Check your AEO score before publishing — use a tool that evaluates all eight AEO signals and flags what's missing.

What not to sacrifice for AEO

AEO optimisation should add to your content, not gut it. There are a few things to watch:

• Don't strip narrative — case studies, examples, and anecdotes make content more readable and more credible. AI engines aren't penalising prose; they just preferentially extract the structured parts.
• Don't stuff questions artificially — a heading like "What is SEO and why is it important and how does it work?" is worse than two separate sections with clear, single-topic headings.
• Don't ignore topical depth — AEO optimisation that leaves out subtopics relevant to the main subject will underperform on AI engines that evaluate comprehensiveness before extracting passages.

The overlap is the opportunity

The writers who will do best over the next few years are those who understand that search engines and AI answer engines are converging on the same preference: direct, structured, factually grounded content. The writers spending time trying to "game" one or the other with keyword stuffing or thin AI-generated filler will find that neither channel rewards it.

Write like you're answering a smart reader who asked a specific question. Structure it so they can scan to the part they need. Include the numbers that back up your claims. That's the content that ranks and that gets cited.