How to Get Your Site Cited in AI Overviews and ChatGPT

In short: what drives citations

Google AI Overviews, ChatGPT search, Yandex's Alice and similar assistants follow a similar logic: the system finds relevant pages through a search index or its own crawler, extracts fragments and assembles an answer with links. To get cited you need three things:

1. Access — the bot can fetch and read the page.
2. Extractability — the page contains a short, self-contained answer.
3. Trust — the site and brand look like a reliable source on the topic.

Classic SEO remains the foundation: pages that index poorly in regular search rarely end up in AI answers.

Step 1. Open your site to AI crawlers

Check robots.txt and your CDN or firewall settings: bot protection sometimes blocks useful crawlers too. Major providers use separate user agents for search and for model training, and you can allow them differently.

# Allow AI search bots
User-agent: OAI-SearchBot
Allow: /

User-agent: PerplexityBot
Allow: /

# Training can be blocked separately
User-agent: GPTBot
Disallow: /

Keep in mind:

• AI Overviews are built on Google's regular Googlebot index. Blocking Googlebot removes you from both search and AI answers.
• Alice and Yandex answers rely on the Yandex index, so healthy indexing in Yandex Webmaster matters.
• Bot names change; check each provider's official documentation.
• Important text should be in the HTML, not only appear after JavaScript runs: not every crawler renders scripts.

Step 2. Put the answer first

An AI system cites a fragment, not a whole page. Help it find that fragment:

• Phrase H2 headings as user questions.
• The first 1–3 sentences after a heading are a direct answer that makes sense on its own.
• Then come details, steps and exceptions.
• One section, one idea. Break up long mixed blocks.
• Use lists and tables for steps and comparisons: they are easier to parse and restate.

Step 3. Clear entities

Models work with entities: a company, product, city, technology. The more unambiguous your naming, the easier it is to connect your text to a query.

• Use the full product or service name, not "our solution".
• Give context: country, city, industry, who it is for.
• Keep company name, address and contacts identical on the site, in maps and in directories.
• Add Schema.org markup (Organization, Article, Product, FAQPage where appropriate) — it helps machines understand who you are and what the page covers.
• Create "About" and author pages with real information.

Step 4. Verifiability and sources

AI answers lean on text that can be checked:

• Specifics instead of generic phrases: conditions, limits, steps, definitions.
• Links to primary sources — official documentation, laws, standards.
• A named author and an update date.
• Your own data, if you genuinely have it: test results, process descriptions, examples. Invented numbers hurt trust rather than help.

Step 5. Freshness

For topics that change (prices, regulations, software versions), systems prefer current pages. Review key content, update the facts, change the date only for real updates and reflect it in the sitemap via lastmod.

Step 6. Brand mentions beyond your site

Models learn about a brand from more than your website. What helps:

• profiles in maps and industry directories;
• articles and interviews in industry media;
• reviews on independent platforms;
• answers from your experts in topical forums and communities.

The brand should be mentioned alongside the topic you want to be a source for.

How to measure

There is no single metric yet. A practical approach: list 20–30 real customer questions, ask them regularly in different AI assistants and record whether you are cited. Also watch referrals from AI service domains in your web analytics.