Should I Block AI Crawlers? How to Decide for Your Site

Deciding if you should block AI crawlers comes down to whether a specific bot sends you referral traffic or merely harvests your text for model training. If a bot only gathers data to train foundation models without citing sources or sending visitors, blocking it protects your copyright and server bandwidth without hurting your standard search visibility. For most commercial sites, the sensible default is to allow crawlers that retrieve and cite live content while blocking bots that only train offline models.

How AI crawlers differ from standard search engine bots

Traditional search bots like Googlebot and Bingbot crawl pages to populate search indexes. When a user runs a query, the search engine presents links directly to your pages. Traffic flows from the index back to your website.

AI bots operate across two distinct categories: retrieval bots and training bots.

• Training crawlers vacuum up large archives of text to train future models. Crawlers such as GPTBot (for base model training) or Common Crawl ingest your writing to teach models syntax, facts, and structure. These bots rarely attribute quotes directly and do not send referral visitors back to the origin page.
• Retrieval crawlers fetch live web pages in response to a prompt. When a user asks an AI assistant for recommendations or real-time news, the model uses bots like OAI-SearchBot or PerplexityBot to fetch current data and link back to sources in its generated response.

Some providers use the same user-agent string for both functions, while others separate them. For example, Google lets you block training on your text through Google-Extended without affecting Googlebot, which continues indexing your site for Google Search. If you want to check your current setup or build custom rules for both categories, you can use the AI Crawler Control Generator to create the right declarations.

When blocking AI scrapers makes sense

There are specific situations where disallowing AI crawlers is the right call for your website.

First, proprietary data and paywalled content need protection. If your business depends on original reporting, technical documentation, paid research, or creative writing, letting training scrapers extract your content means your hard work can be reproduced elsewhere without a subscription or citation.

Second, server resource limits can justify a block. Aggressive bots run thousands of requests across deep archives, consuming CPU and bandwidth. Sites hosted on shared hosting or unmetered bandwidth plans with strict concurrency caps can suffer slow response times when multiple AI spiders hit simultaneously.

Third, regulatory or licensing agreements may require you to restrict data collection. If you host user-generated content, photography, or client assets, your terms of service might prevent third parties from using that data for machine learning.

When allowing AI bots benefits your site

Blocking every automated crawler wholesale can cut your site off from emerging search and discovery channels. When users look for software recommendations, local services, or comparisons inside AI search engines, those engines rely on retrieval bots to find answers.

If you run an e-commerce store, a local business, or a B2B service, citation in an AI response functions much like a standard search result. The user asks a question, the model reads your pricing or product specifications, and it provides a direct citation link to your page. If you block the retrieval crawler responsible for that lookup, the engine either skips your brand entirely or cites a competitor who left their doors open.

You can verify how open your site currently is using the AI Crawler Robots Checker, which breaks down which automated agents can access your content.

How to block bots using robots.txt

The standard way to manage bot access is your robots.txt file, located at the root of your domain. You can allow search engines while blocking specific automated agents by targeting their declared user-agent tokens.

To block OpenAI from using your pages for offline model training, you target GPTBot:

User-agent: GPTBot
Disallow: /

To prevent Anthropic from training Claude on your site, you target ClaudeBot:

User-agent: ClaudeBot
Disallow: /

To tell Google that you do not want your content used to train its Gemini models or Vertex AI services, you disallow Google-Extended:

User-agent: Google-Extended
Disallow: /

Official documentation at Google confirms that disallowing Google-Extended has no effect on Googlebot indexing your site for core Google Search. The two bots operate under independent tokens.

If you want a complete, step-by-step breakdown on handling OpenAI bots specifically, read our guide on how to block GPTBot using robots.txt and firewalls.

A worked example: setting up granular crawler rules

Suppose you run an agency website at example.com. You publish educational guides, case studies, and proprietary client resources. You want traditional search traffic from Google and Bing, you want citations in conversational AI queries, but you want to stop offline foundation models from swallowing your archive.

Here is what the robots.txt file would look like:

User-agent: *
Allow: /

# Allow AI retrieval bots that provide citations
User-agent: PerplexityBot
Allow: /

User-agent: OAI-SearchBot
Allow: /

# Block AI bots that only train models
User-agent: GPTBot
Disallow: /

User-agent: ClaudeBot
Disallow: /

User-agent: Google-Extended
Disallow: /

User-agent: CCBot
Disallow: /

Remember that parsers evaluate rules by the most specific matching user-agent group. A bot that matches its own named block does not inherit the directives listed under User-agent: *. If you specify User-agent: GPTBot, the crawler only follows the rules inside that specific block.

You can also restrict bots from specific directories rather than the whole site. If you want GPTBot to read public articles but stay out of premium downloads, use path rules:

User-agent: GPTBot
Disallow: /downloads/
Disallow: /client-portal/
Allow: /

Before deploying these rules, run your proposed file through our Robots.txt Tester to ensure specific bots are stopped without accidentally blocking legitimate crawlers.

Robots.txt rules vs meta robots tags

Website owners often wonder whether they need page-level tags alongside server-level file blocks. These tools perform two completely different functions.

A rule in robots.txt tells a spider whether it is allowed to download the page at all. If you put Disallow: / for a bot, that bot never requests the page from your server. Because it never fetches the HTML, it never reads any meta tags in your <head> section.

Page-level meta tags, such as <meta name="robots" content="noindex"> or snippet control directives, tell a crawler how to handle text after downloading it. These directives only apply to bots you permit past your robots.txt file. If you disallow a crawler at the server level, your meta directives are completely ignored.

When you are ready to configure these rules for your domain, use our free AI Crawler Control Generator. The tool lets you choose a clear policy, customize rules bot by bot, and produce clean directives ready to copy into your root file.

The trade-offs of blocking AI crawlers

Action	Advantages	Disadvantages
Block all AI crawlers	Saves server bandwidth; prevents third parties from training models on your intellectual property.	Zero visibility in conversational answer engines; removes potential citation traffic.
Allow all AI crawlers	Maximum reach in AI search engines and research summaries.	Donates content freely to LLM training without guaranteed back-links or compensation.
Selective blocking (The sensible middle)	Retains search and citation visibility while blocking bulk training scrapers.	Requires maintaining user-agent lists in robots.txt as new crawlers launch.

If you manage a business site, the selective approach provides the best balance. You keep routes open for visitors while closing off free bulk data harvesting.

Frequently Asked Questions

Should you block AI crawlers on every page?

No. Blocking every AI bot prevents retrieval engines from discovering your pages when generating answers for users. Unless you run a private community or a purely subscription-based archive, blocking everything limits your exposure in conversational search. A selective approach works best.

Will blocking AI crawlers hurt my Google rankings?

Not if you block only the AI tokens. Google-Extended is separate from Googlebot and disallowing it has no effect on Search. The damage happens when a copied block includes Googlebot or bingbot, which is why standard search engines should never be added to an AI blocking list.

How to block bots that ignore robots.txt?

Robots.txt is a voluntary standard. Reputable providers like OpenAI, Anthropic, and Google respect it, but aggressive scraping tools ignore it entirely. To stop bad bots that ignore directives, block their IP ranges or user agents at your web server level (via Nginx or Apache) or through a web application firewall like Cloudflare.

Do I need both robots.txt rules and meta tags?

They do different jobs. robots.txt decides whether the page is fetched at all. The meta directives decide what may be displayed once it has been fetched, which means they only take effect on crawlers you let in. If you block a bot in robots.txt it never reads your meta tags.

Where does the AI block go in robots.txt?

In the same robots.txt file at the root of your domain, placed after your existing groups. Order does not matter to the parser because groups are matched by user-agent string rather than position. However, keeping AI rules grouped together with clear comments makes them easier to manage during future site updates.