AI Search Crawlers: What to Check on Your Website
Check which bots serve search, training, or user requests. Use a clear plan to test public-page access without assuming a citation will follow.
Start with what you want a bot to do. Do you want your public pages found in search? Do you want them used to train a model? Those are different choices. Check the bot and its role before you change a rule. A bot reaching a page does not ensure that an AI answer will cite it.
This guide checks three providers: OpenAI, Perplexity, and Google. It uses their official docs as read on October 21, 2026. They are examples, not a list of every AI tool. Use this as a TTGC check plan. Keep a record of the pages you test and the choices you make.
What happens after a bot visits?
Keep four things apart. A crawl fetches a page. An index stores pages for search. Training may use content to help build a model. A citation links to a source in an answer. These are not four steps that must all happen in order. A log of a bot visit does not prove your page was indexed, trained on, or cited.
Which OpenAI bot does each job?
OpenAI says OAI-SearchBot is for ChatGPT search. Check that bot when search is your goal. Letting it fetch a page is not a promise that the page will be cited.
GPTBot may collect text for model training. Its robots.txt setting is separate from the search bot setting. You can choose search access while opting out of this training crawl.
ChatGPT-User can visit pages for user requests. It is not the bot that controls search inclusion. OpenAI says robots.txt rules may not apply to these user-led visits.
For a log entry, check the bot name and current IP details in the official docs. An IP address is a network address. Do not trust the name alone.
Which Perplexity bot does each job?
Perplexity says PerplexityBot finds and links pages for search. It says this bot does not crawl for foundation-model training. Check this role before choosing which access to allow.
Its user fetcher is called Perplexity-User. It may visit a page for a user request. The provider says it generally ignores robots.txt and is not a training or web crawl bot.
Check the bot name and current published IP ranges together. Perplexity gives this advice for a web firewall. Keep the scope narrow when reviewing a rule with your site team.
A page that can be fetched is not sure to be cited. These docs do not set a citation deadline or prove that schema raises your odds. Track what you can observe.
How does Google handle search access?
Google uses Googlebot crawl controls for Search, including AI Overviews and AI Mode. To be eligible as a supporting link, a page must be indexed and able to show a Search snippet. That is not a promise it will appear. Google says no special AI markup is needed.
Check your chosen public pages against Googlebot rules. Check your host and content delivery network too. A rule in one place does not tell you what the other layers allow.
Keep key facts in readable text. If you add structured data, make it match the visible page. Google does not call for a special AI file or schema for its AI features.
Use Google search checks to review indexing and snippet eligibility. Keep separate guidance on other training uses apart from Search controls. Do not treat one rule as an opt-out from all AI use.
Check what a bot is for before you change its access. Being able to fetch a page is not a promise to cite it.
What should your site team check?
First, agree which public pages you want found and which uses you permit. Write down the current rules and the reason for each planned change. Keep private pages out of this test.
Next, check robots.txt and the page response. Note errors, access blocks, and the text returned. A response that succeeds is evidence of access, not proof of search inclusion.
Then compare the key text in the response with what a reader sees. If facts are missing, fix that specific fault. Keep the access controls your private content needs.
Finally, record verified bot visits and test the chosen search tool. Save the date, question, and source links you saw. A single answer is one observation, not proof of a trend.
For the broader topic, read what is AEO. For related content guidance, see how to optimize content for AI-generated answers. For a scoped visibility check, read how to check competitor visibility in AI search. These related guides do not prove any crawler will cite your page.
Sources
- Overview of OpenAI Crawlers. OpenAI official documentation. Search, model-training and user-requested access have distinct roles.
- AI features and your website. Google Search Central. Search eligibility and access guidance; no guaranteed AI inclusion.
- Perplexity Crawlers. Perplexity official documentation. Search crawler and user fetcher roles, access and verification.
Which access should you allow or block?
Choose search access and training use as separate tasks where the provider offers those controls. Check the purpose of each rule with the site owner. For private pages, use proper access controls. Do not rely on robots.txt to keep secrets safe. Agree the scope of any audit before you change live rules.
How soon will a page be cited?
A rule taking effect is not the same as a page being indexed or cited. The providers do not give one deadline for all three. Record when you changed a page and when you next saw a verified bot fetch. Check the result in the tool you care about. Do not set a citation date from a crawl log.
How should you check your page text?
Give people clear headings, short sections, and lists where they help. Then inspect the text the server sends and what the browser shows. Test the key facts, not just the page title. Use this to find missing text. It does not prove how an AI tool will parse or cite the page.
Want a technical AEO audit for your site? It can cover crawler access, schema setup, and page speed. Book a free Brand and Tech Assessment. A full technical review can then be run for you.
Book a free Brand and Tech Assessment to see exactly how this work can grow your organic visibility.
Work With the Team Behind the Work
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