How to Show Up in AI Search (ChatGPT, Gemini, AI Overviews)

How AI search decides what to cite

Most AI search features work by retrieving relevant web content and then summarizing it — a technique often called retrieval-augmented generation, or grounding. Google describes exactly this for its AI features and adds that AI Overviews and AI Mode may use a "query fan-out" approach, issuing several related searches across subtopics before composing an answer. That means your content can surface for questions you never targeted directly, as long as it's the best match for one of those sub-searches.

The key consequence: to be cited, you first have to be retrievable. If a page isn't crawlable, indexed, and reasonably ranked for the underlying query, it can't become a source. This is why "showing up in AI search" starts with the same fundamentals as showing up in regular search.

The fundamentals that actually move the needle

Google's guidance on its generative AI features is refreshingly blunt: optimizing for AI search is optimizing for the search experience, and thus still SEO. It points to the usual foundation — make sure your pages are indexable and crawlable, meet technical requirements, load well, and avoid duplicate content — and stresses creating content that is genuinely unique, useful, and non-commodity rather than a rehash of what's already out there.

Notably, Google explicitly says several popular "AI optimization" tactics are unnecessary for its features: you don't need an llms.txt file, special AI-only schema, content "chunking," or AI-specific rewrites. For a local or service business, it recommends practical, verifiable steps like maintaining a Google Business Profile and, for products, Merchant Center. In short, the boring fundamentals are the strategy.

Write in a way models can quote

Beyond the fundamentals, there's a real difference between content a model can cite cleanly and content it can't. Pages that answer a specific question directly, near the top, in plain language — and back claims with credible sources or concrete detail — give a summarizing model something safe to lift. The original academic GEO research found that adding relevant statistics, citations, and authoritative quotes measurably improved a source's visibility inside a generative engine in controlled tests.

Treat that as a helpful direction, not a magic formula. These are essentially the habits of good, trustworthy writing: be specific, be accurate, be the clearest available answer. What you're avoiding is thin, vague, keyword-stuffed content that a model has no reason to trust or quote.

Measure it instead of guessing

Because AI answers vary between engines, change frequently, and can't be guaranteed, the sane approach is to measure rather than assume. Periodically ask the major engines the questions a customer would ask in your category and location, and note whether you appear and whether the details are correct. It's common to find you're missing entirely, or that an engine states something outdated about you.

Our AI visibility checker gives you that snapshot quickly — how AI assistants currently describe your business, so you can fix inaccuracies and see where you're absent. From there, keep expectations grounded: you're improving your odds and correcting errors, not buying placement. Anyone promising guaranteed AI-search rankings is selling certainty these systems don't provide.

Frequently asked questions

Sources

• Google Search Central — “Optimizing your website for generative AI features on Google Search”
• Aggarwal et al., “GEO: Generative Engine Optimization” (arXiv 2311.09735, KDD 2024)
• Search Engine Journal — “Google’s New AI Search Guide Calls AEO And GEO ‘Still SEO’”