AI Search SEO
Structures content so AI-powered search experiences can discover, understand, and cite it in generated answers without requiring a click.
If you have treated AI search as a separate channel instead of an extension of technical and semantic SEO, you are already losing citation opportunities.
Key points
- Build on traditional SEO fundamentals, including ai search optimisation techniques, before layering AI-specific signals.
- Write answer-first content with clear headings and semantic structure.
- Use schema markup and entity-rich language to improve machine understanding.
- Unique insights, proprietary data, and expert analysis help content stand out.
- Monitor citations and referral visibility, not just rankings and clicks.
A recipe site that lost clicks but gained citations
A recipe site with strong technical SEO, entity seo, and clear headings saw its step-by-step instructions cited in Google AI Overviews for 'how to bake sourdough'. Clicks dropped 30% because users got the answer inline, but brand mentions in AI-generated answers rose 150% over three months. The site had no unique data or expert analysis, so it was cited but not linked as a primary source. Adding original baking science and author credentials later improved its link-inclusion rate.
Three ways it goes wrong
- Generic content Publishing surface-level content that offers no information gain over competing pages makes it easy for AI systems to cite a better source instead.
- Buried answers Using unclear headings or long, buried answers that are hard for AI systems to extract reduces the chance your content is used in generated responses.
- Ignoring trust signals Skipping schema, authorship, and external mentions weakens credibility signals that help AI systems decide whether to cite your page.
What to check before acting
- Indexability first Your pages must still be indexable and eligible in normal search to be shown as supporting links in Google AI experiences.
- Natural language Write in conversational phrasing and natural language because AI systems interpret user intent rather than only matching keywords, so your content must read like a human answer.
- Authority signals Credible authorship, reviews, mentions, and consistent facts across the web support inclusion in AI answers, so build external trust signals through citations and expert profiles.
Common questions
What is SEO for AI called?
It is called AI search SEO, AI SEO, generative engine optimisation (GEO), or answer engine optimisation (AEO). No single term is universal.
How to rank in AI search?
Focus on technical SEO, helpful content, semantic structure, schema markup, and unique insights. There is no direct ranking system for AI answers.
GEO vs SEO vs AEO — what is the difference?
SEO covers all search optimisation. GEO and AEO are subsets focused on AI-generated answers. They overlap heavily and build on the same fundamentals.
Sources
- Google Search Central Official documentation on AI Overviews and search eligibility.
- Search Engine Land Guide explaining AI SEO practices and industry terminology.
- Schema.org Vocabulary for structured data that improves machine understanding.