How do you get cited in Google AI Overviews?

Build pages with clear answer blocks, original evidence, named authors, schema markup, strong internal links, and sections that directly satisfy the query. AI Overviews tend to reward pages that are useful to humans and easy for systems to parse.

Topic hub

AI Search Optimization: get cited in Google AI Overviews.

Q: What is AI search optimization?

AI search optimization is the practice of making pages easy for search engines and answer engines to understand, verify, summarise, and cite. It combines classic SEO, structured data, E-E-A-T signals, clear definitions, and original proof.

A central hub for the way I think about AI search: answer-shaped pages, schema that matches visible content, original proof, internal links, and author signals that make a page safe to cite.

Get the AI search checklist → Read the AIO guide → Get the SEO playbook →

What this category owns

AI search optimization is not a separate replacement for SEO. It is the layer where your page becomes easy to quote, summarise, verify, and connect to related entities.

Answer structure: definitions, steps, comparisons, and checklists that can be lifted cleanly.
Machine-readable context: Article, BreadcrumbList, FAQPage, HowTo, Organization, and Person schema where the visible page supports it.
Trust: visible author, date, first-hand examples, case studies, screenshots, and links to related work.
Topic depth: one hub connected to tactical posts, not twelve isolated articles.

Cluster map

Start here, then go deeper

Core guides

Trust layer

Action assets

FAQ

What is AI search optimization?

AI search optimization is the practice of making a page easy for search and answer systems to understand, verify, summarise, and cite.

Is this different from normal SEO?

The fundamentals are the same: useful content, crawlability, internal links, and authority. The difference is the emphasis. AI search rewards answer clarity, entity context, original proof, and clean structured data.