AI Search Engine Optimization Best Practices for 2026

AI search optimization is SEO plus a few habits that make your pages easy to retrieve, verify and cite. Here are the ten practices that matter, what Google itself says about each, and what we would do first.

The ten practices below apply to AI search engine optimization however you label it: AEO, GEO, AI SEO or simply SEO. This guide updates the 2025 advice that is still widely repeated, using Google's guide to generative AI features in Search and the studies that Advanced Web Ranking collected in its evidence review of AI search tactics. For each practice you will see what is documented, what studies suggest, and our call on where to start.

What is AI search optimization?

AI search optimization is the work of earning a place inside answers written by AI systems: ChatGPT, Gemini, Perplexity, Claude and Google's AI Overviews and AI Mode. Those systems look up pages, read the relevant passages and write a reply, often with links. Your job is to be one of the pages they retrieve, understand and trust enough to cite.

AEO and GEO are the same idea with different emphasis. If you want the vocabulary straight, our posts on answer engine optimization and generative engine optimization explain where each term came from.

A quick example shows how the practices combine. Suppose you run a payroll tool for small teams and want to be named for “best payroll software for a 10-person company”. You would make sure the comparison page is indexed and open to search bots, begin its first section with a plain answer (“For most 10-person teams, a flat-fee tool with automatic tax filing is enough”), add a table with real prices and a named author, list the product on the review sites that answer cites, and run the prompt weekly to see what changes.

The 10 AI search optimization best practices

1. Keep the SEO foundation strong

A page has to be crawlable, indexed and eligible to show as a snippet before an AI feature can use it. Google says this directly for its own AI features. Rankings still help, though they do not decide everything: the studies that AWR lists show AI answers citing pages from well outside the top ten, and the overlap with top-ranking pages differs between studies and engines. Treat a good ranking as a strong start and not as the whole plan.

This week: check your key pages in the URL Inspection tool in Search Console and fix anything that is not indexed.

2. Let the right crawlers in

AI products use different bots for search and for model training, and they are controlled separately. A firewall or CDN rule can block a bot before your robots.txt is even read. Our AI crawler access guide lists the bots and a safe starting file.

This week: confirm the search bots you want can reach your pages.

3. Lead each section with the answer

Put a direct answer first, then explain. Studies of cited text, such as the ChatGPT analysis summarized by AWR, find a lean toward passages near the top of a page, and readers benefit as well. You will see exact word counts quoted for the perfect answer length (40 to 60 words is common). AWR's review found that no AI provider publishes such a number, so we write the answer in as many words as it takes, usually one or two plain sentences.

This week: rewrite the first two sentences under each H2 on your top five pages.

4. Write passages that stand on their own

An AI system may lift one paragraph out of your page. If that paragraph says “as mentioned above” or “this approach”, it loses meaning. Name the subject in each paragraph, keep one idea per paragraph, and avoid pronouns that point to earlier sections. Google notes that you do not need to rewrite pages differently for AI. This is good writing for any reader who arrives in the middle.

5. Add original numbers, quotes and named sources

The 2024 GEO research paper reported that adding citations, statistics and quotations raised how often passages were used in generated answers, with results that varied by topic. Whatever the exact lift in your niche, specific claims are easier to quote than vague ones. “Plans start at $49 per month” can be cited. “Affordable plans” cannot.

6. Use structured data that matches the page

Add Article, Organization, Person and FAQ markup where it fits the visible content, and validate it. Google says structured data is not required for its AI features, and a controlled test AWR cites found small and mixed effects. The reason to do it is cheap clarity: it tells machines who wrote the page, who publishes it and what it covers. Mark up facts that readers can see, and nothing else.

7. Show real authors and first-hand experience

Give each article a named author, a short bio and a profile page that links to the places where that person publishes. Google asks for unique, first-hand content that goes beyond what is already everywhere. A founder describing what they tried and what happened is more useful to a reader, and to a model, than a summary of other summaries.

8. Earn mentions where your buyers read

AI answers about products draw on review sites, directories, community threads and press as well as company websites. AWR's summary of Ahrefs data shows brand mentions across the web correlating more strongly with AI visibility than backlinks do; it is a correlation, but it fits what the tools say they look at. Start with the places that already rank for your category: review platforms, “best of” lists, relevant newsletters and the communities where your buyers ask questions. First Page Sage groups sources into tiers, from big reference sites to industry-specific directories, which makes a useful checklist for the first pass.

Join those places as yourself and add real value. Google specifically calls out manufactured mentions as something to avoid.

9. Refresh pages with new substance

Fresh information matters most on fast-moving topics. Update a page when something has actually changed: a new feature, a new price, a new study. Changing only the date adds nothing, and both Google and the studies AWR cites point the same way.

10. Measure with Search Console and a fixed prompt set

Search Console is the one source of first-party data from Google, so start there. Then keep a list of 20 buyer questions, run them each week in the engines your customers use, and record whether you are mentioned, linked and described correctly. Individual answers change from run to run, so read trends across many prompts instead of one result. Our tracking guide has the method.

Where should your time go instead of llms.txt and rewriting for AI?

Several tactics get a lot of attention online: a special llms.txt file, splitting pages into tiny “chunks”, rewriting pages in a different style for AI, and stacking many schema types. Google's guide says none of them is needed for its AI features, and the large site study AWR cites found that most sites with an llms.txt file received no requests for it in the period measured. If you enjoy these, they cost little. But the hours are better spent on the ten practices above, where the sources agree.

Do ChatGPT, Gemini, Perplexity and Claude need different tactics?

They behave differently. They cite different sources, replace cited pages at different rates, and show brand lists that change from one run to the next. That is a reason to track each engine separately. It is not a reason to write a different page for each. One clear, well-sourced page with a named author serves all of them, and it serves Google too.

How long does AI search optimization take to show results?

Indexing changes can show in days or a few weeks. Citations and mentions usually follow over a few months, and depend on how strong your category's existing sources are. Your first sign is usually your own pages being retrieved for the questions you target, which you can see in a prompt log before you see any traffic.

If you want a first pass on your own site, our free audit checks the practices above across your key pages. And for the foundation underneath them, read our SEO best practices checklist.