---
title: "AI Crawler Management: GPTBot, ClaudeBot &amp; PerplexityBot (2026)"
description: "Practical guide to AI crawler management in 2026. Identify GPTBot, ClaudeBot, PerplexityBot, Google-Extended; configure robots.txt; decide allow vs block; monitor traffic per agent."
lang: en
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                "text": "Likely yes for new content. ClaudeBot is Anthropic's primary crawler, and blocking it means Claude has no current source for your pages. Anthropic also runs the anthropic-ai and claude-web user agents — match your rule across all three for consistency. Note that older content may already be in Claude's training corpus."
              }
            },
            {
              "@type": "Question",
              "name": "How do I block CCBot, and why does it matter?",
              "acceptedAnswer": {
                "@type": "Answer",
                "text": "Add a User-agent: CCBot block with Disallow: / to your robots.txt. CCBot crawls for Common Crawl, a public web corpus that is widely used as training data by many LLM providers. Blocking CCBot is the single highest-leverage way to limit downstream training inclusion across many models at once, since one block affects every model trained on Common Crawl."
              }
            },
            {
              "@type": "Question",
              "name": "Does robots.txt actually stop AI crawlers, or is it just a request?",
              "acceptedAnswer": {
                "@type": "Answer",
                "text": "robots.txt is honored on a voluntary basis. The major providers — OpenAI, Anthropic, Google, Perplexity — state publicly that their bots respect it. For hard enforcement against bots that ignore robots.txt, use server-side rules, WAF policies, or a bot management service like Cloudflare's AI bot controls. Most enterprises layer both: robots.txt for intent, edge rules for enforcement."
              }
            },
            {
              "@type": "Question",
              "name": "What is the difference between robots.txt and llms.txt?",
              "acceptedAnswer": {
                "@type": "Answer",
                "text": "robots.txt is access control — it tells crawlers what they may read. llms.txt is curation — a markdown file at your root that lists high-value pages with descriptions, intended as a positive signal to LLM crawlers. They coexist and serve different jobs. You should publish both, and you should make sure the bots you allow in robots.txt are not the same ones blocked from reading llms.txt."
              }
            },
            {
              "@type": "Question",
              "name": "How do I monitor which AI bots are actually crawling my site?",
              "acceptedAnswer": {
                "@type": "Answer",
                "text": "Filter your server logs by user-agent string. The agents to watch are GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, anthropic-ai, claude-web, PerplexityBot, Perplexity-User, Google-Extended, and CCBot. Track volume, top paths fetched, and HTTP status codes per agent. GA4 alone does not capture bot traffic — server logs or your CDN's bot dashboard are the source of truth."
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AI Crawler Management: A 2026 Guide to GPTBot, ClaudeBot & PerplexityBot 

AI Search & LLMO Deep Dive Recent Last reviewed: 15 May 2026 · 102d ago 

# AI Crawler Management: A 2026 Guide to GPTBot, ClaudeBot & PerplexityBot

## TL;DR

Quick Answer 

Cited by AI 

> AI crawler management means controlling and monitoring bots like GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, and Google-Extended through robots.txt directives and server log analysis. Most enterprises in 2026 allow major search-time bots for citation visibility while selectively blocking training-only crawlers such as CCBot.

Every major AI provider now ships a documented user agent. This deepdive explains who is crawling, the strategic question of allow vs block, robots.txt syntax with real code, and how to monitor crawler traffic in your own logs.

AI crawler management is the discipline of identifying, controlling, and monitoring the user agents that AI providers (OpenAI, Anthropic, Google, Perplexity, Common Crawl, Microsoft) use to fetch web content for training, retrieval, and on-demand search. It combines robots.txt directives, server-side rules, and log analysis to give site owners explicit control over which bots may access which paths.

![Linus Ingemarsson - Author at Alice Labs](/images/linus-ingemarsson.png)

Written by

[Linus Ingemarsson ](https://www.linkedin.com/in/linus-ingemarsson/)

![Eric Lundberg - Reviewer at Alice Labs](/images/eric-lundberg.png)

Reviewed by

[Eric Lundberg ](https://www.linkedin.com/in/eric-lundberg-3530451bb/)

Published May 6, 2026 · Updated May 15, 2026 

13 min read

GPTBot, ClaudeBot, PerplexityBot

Three major AI crawlers every site should know in 2026

[OpenAI, Anthropic, Perplexity public docs](https://platform.openai.com/docs/bots)

Sep 2023

Google-Extended introduced — separates AI training from search

[Google Search Central](https://developers.google.com/search/docs/crawling-indexing/google-extended)

Up to 40%

Visibility lift from citation-rich content in generative engines

[Aggarwal et al. 2024 (GEO paper)](https://arxiv.org/abs/2311.09735)

What you'll learn(6 points) 

-   Which AI crawlers exist in 2026 and what each one is for 
-   The strategic question of allow vs block, and how most enterprises decide 
-   Exact robots.txt syntax for blocking, allowing, and selectively gating AI bots 
-   The relationship between robots.txt (gatekeeper) and llms.txt (positive signal) 
-   What bot management services like Cloudflare add on top of robots.txt 
-   How to monitor crawler traffic with server logs and GA4 user-agent filters 

## Key Takeaways

-   Every major AI provider ships a documented user agent — GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, anthropic-ai, claude-web, PerplexityBot, Perplexity-User, Google-Extended, CCBot. 
-   Google-Extended (introduced September 2023) controls AI training inclusion separately from Googlebot — blocking it does not affect search ranking. 
-   Most enterprises in 2026 allow search-time bots (OAI-SearchBot, PerplexityBot, ClaudeBot) for citation visibility and selectively block training-only bots like CCBot. 
-   robots.txt is the primary gatekeeper. It is honored on a voluntary basis — for hard enforcement use server-side rules or a bot management service. 
-   llms.txt is a positive signal (curated index of high-value pages); robots.txt is access control. They coexist and serve different purposes. 
-   Always pair robots.txt rules with monitoring — server logs filtered by user agent are the only way to verify bots are honoring your directives. 

### Contents

13 min left 

-   [01 Why AI Crawler Management Matters Now ](#why-ai-crawler-management-matters)
-   [02 The Major AI Crawlers in 2026 ](#the-major-ai-crawlers)
-   [03 The Strategic Question: Allow vs Block ](#allow-vs-block)
-   [04 robots.txt Syntax for AI Crawlers (with Real Code) ](#robots-txt-syntax)
-   [05 llms.txt as a Positive Signal (vs robots.txt as Gatekeeper) ](#llms-txt-as-positive-signal)
-   [06 Cloudflare and Bot Management Services ](#cloudflare-and-bot-management)
-   [07 Monitoring Crawler Traffic in Server Logs and GA4 ](#monitoring-crawler-traffic)

Part of

[AI Search Optimization Guide](/en/insights/ai-search-optimization-guide)

01 / 07 Chapter 

## Why AI Crawler Management Matters Now

AI crawlers became a board-level topic in 2024-2026 because LLMs increasingly pull live data from the open web, and because providers now publish documented user agents that respect robots.txt. Decisions made in robots.txt today directly shape whether a brand is cited in ChatGPT, Claude, Perplexity, and Google AI Overviews tomorrow. 

Until 2023, "the crawler" mostly meant Googlebot. Site owners wrote one set of robots.txt rules and moved on.

That model broke when generative AI went mainstream. OpenAI shipped GPTBot in August 2023. Google split AI training out of Googlebot with Google-Extended in September 2023.

Today every major AI provider ships at least one documented user agent. Each one has a different purpose: training, retrieval, on-demand search, or live browsing for a single user query.

Three things changed at the same time:

-   **Citations now matter.** Tools like Perplexity and ChatGPT Search return cited sources. Whether your site appears depends on whether their bots could read it.
-   **Training vs retrieval split.** The same provider may run two bots — one for training corpora, one for live answers — and you can allow or block them independently.
-   **Legal scrutiny rose.** Public disputes (including the New York Times litigation) made training-data sourcing a boardroom topic, not just an SEO one.

The result: robots.txt is now a strategic file. The defaults you inherited five years ago no longer reflect the choices you should be making in 2026 — which is why crawler policy is one of the first audits an [AI search optimization consultant](/en/ai-search) runs before touching content.

Voluntary compliance, not enforcement

robots.txt is a convention. Major providers (OpenAI, Anthropic, Google, Perplexity) state publicly that their bots honor it. For hard enforcement use server-side rules, WAF policies, or a bot management service.

platform.openai.com/docs/bots

02 / 07 Chapter 

## The Major AI Crawlers in 2026

In short

The crawlers you should know are GPTBot, ChatGPT-User, and OAI-SearchBot (OpenAI); ClaudeBot, anthropic-ai, and claude-web (Anthropic); Google-Extended (Google AI training); PerplexityBot and Perplexity-User (Perplexity); CCBot (Common Crawl, used by many LLMs); plus Bingbot for Microsoft Copilot grounding. Each has a documented purpose.

Each AI provider ships its own user agent (or several). Knowing which bot does what is the foundation of every robots.txt decision.

**OpenAI.** Three documented user agents.

-   **GPTBot** — crawls content used to train OpenAI models. Documented at platform.openai.com/docs/bots.
-   **ChatGPT-User** — fetches a page on demand when a user inside ChatGPT asks for it. Not a training bot.
-   **OAI-SearchBot** — powers ChatGPT Search, which launched October 31, 2024. Used for retrieval and citation.

**Anthropic.** Three documented user agents.

-   **ClaudeBot** — Anthropic's primary crawler.
-   **anthropic-ai** — secondary user agent string observed in logs.
-   **claude-web** — used for ClaudeBot variations and on-demand retrieval.

**Google.** Two relevant user agents.

-   **Googlebot** — the standard search crawler. Required for Google Search ranking.
-   **Google-Extended** — introduced September 2023. Controls inclusion in Gemini and Vertex AI training. Blocking it does _not_ affect Google Search ranking.

**Perplexity.** Two documented user agents.

-   **PerplexityBot** — crawls and indexes for the Perplexity AI search engine.
-   **Perplexity-User** — fetches pages on demand for a specific user query.

**Common Crawl (CCBot).** Common Crawl produces a public crawl of the web that is widely used as training data by many LLM providers — often as a bulk corpus. Blocking CCBot is the single highest-leverage way to limit downstream training inclusion across many models at once.

**Microsoft / Bing.** Bingbot remains the main Bing crawler and grounds Microsoft Copilot's web answers. The legacy msnbot string still appears in some logs.

Distinguish training bots from search-time bots

OpenAI, Anthropic, and Perplexity each separate training crawlers from on-demand / search-time fetchers. Allowing the search-time bots while blocking the training crawlers is a legitimate, documented configuration.

AI crawlers reference table — major user agents in 2026, purpose, and a recommended starting posture

Platform 

User-agent 

Purpose 

Recommended action (default) 

OpenAI

GPTBot

Training crawl for OpenAI models

Allow if visibility-focused; block if training opt-out is policy

OpenAI

ChatGPT-User

On-demand fetch when a ChatGPT user asks

Allow — needed for in-product citations

OpenAI

OAI-SearchBot

Powers ChatGPT Search (since Oct 31, 2024)

Allow — required to be cited in ChatGPT Search

Anthropic

ClaudeBot

Anthropic's primary crawler

Allow for citation visibility

Anthropic

anthropic-ai

Secondary user-agent string

Match your ClaudeBot rule for consistency

Anthropic

claude-web

ClaudeBot variation / on-demand

Allow for citation visibility

Google

Googlebot

Standard Google Search crawler

Allow — never block on a public site

Google

Google-Extended

Controls Gemini / Vertex AI training inclusion

Allow if visibility-focused; block to opt out of AI training without losing Search

Perplexity

PerplexityBot

Crawls and indexes for Perplexity

Allow — required to be cited by Perplexity

Perplexity

Perplexity-User

On-demand fetch for a Perplexity user query

Allow — needed for live citations

Common Crawl

CCBot

Public crawl used by many LLMs as training corpus

Block if training opt-out is policy — high leverage across many models

Microsoft

Bingbot

Bing search + Microsoft Copilot grounding

Allow — required for Bing visibility and Copilot citations

Source: Compiled by Alice Labs from OpenAI, Anthropic, Google, Perplexity, and Common Crawl public documentation (verified May 2026) 

03 / 07 Chapter 

## The Strategic Question: Allow vs Block

In short

Blocking all AI crawlers reduces LLM citation potential — most enterprises in 2024-2026 allow major search-time bots for visibility. Selective blocking is common: allow GPTBot/ClaudeBot/PerplexityBot, block training-only crawlers like CCBot. The right answer depends on whether your priority is brand visibility or training-data control.

There is no universally correct setting. The decision flows from two axes: visibility priority and training-data policy.

**Three common postures.**

-   **Open by default.** Allow all major AI bots. Maximum citation surface in ChatGPT, Claude, Perplexity, and Google AI Overviews. Common for B2B SaaS, media, and consultancies whose business depends on being found.
-   **Selective.** Allow search-time bots (OAI-SearchBot, ClaudeBot, PerplexityBot, Bingbot, Googlebot). Block training-only crawlers (CCBot, optionally GPTBot, optionally Google-Extended). Common for enterprises that want the visibility but not the training inclusion.
-   **Closed.** Block all AI bots. Common for paywalled publishers, regulated industries, and rights-sensitive sites. Reduces or eliminates LLM citation potential.

**Reality check on visibility.** If you block the search-time bots, you remove yourself from generative answers. That is a real cost — and one that is hard to recover later because LLMs cache.

**Reality check on training.** Even if you block every named training bot, your content may already be in earlier training corpora. Blocking now is forward-looking, not retroactive.

Public disputes — including the New York Times litigation against OpenAI — have made training-data sourcing a legal and reputational question. Decide deliberately, document the decision, and revisit quarterly.

Blocking is hard to reverse

If you block ClaudeBot or OAI-SearchBot for six months and then unblock, your site does not immediately reappear in citations. Recovery depends on re-crawl frequency and whether competing pages have already won the citation slot.

04 / 07 Chapter 

## robots.txt Syntax for AI Crawlers (with Real Code)

In short

robots.txt uses User-agent and Disallow / Allow directives. Specify each AI bot by exact name and pair with rules. You can block a bot site-wide, allow it everywhere, or selectively gate paths. The file lives at https://yourdomain.com/robots.txt.

robots.txt is plain text served at your domain root. Each block starts with one or more `User-agent:` lines and is followed by `Disallow:` and / or `Allow:` rules.

**Block a single AI bot site-wide.**

```
User-agent: GPTBot
Disallow: /
```

**Allow an AI bot everywhere (default if no rule exists).**

```
User-agent: ClaudeBot
Allow: /
```

**Selective access — allow blog, block private paths.**

```
User-agent: GPTBot
Allow: /blog/
Allow: /docs/
Disallow: /private/
Disallow: /admin/
Disallow: /checkout/
```

**Block all training crawlers, allow search-time bots (the "selective" posture).**

```
# Block training crawlers
User-agent: CCBot
Disallow: /

User-agent: GPTBot
Disallow: /

User-agent: Google-Extended
Disallow: /

# Allow search-time / on-demand bots
User-agent: OAI-SearchBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: anthropic-ai
Allow: /

User-agent: claude-web
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Perplexity-User
Allow: /

# Standard search engines
User-agent: Googlebot
Allow: /

User-agent: Bingbot
Allow: /

# Default (everything else)
User-agent: *
Allow: /

Sitemap: https://yourdomain.com/sitemap.xml
```

**Block every named AI crawler (the "closed" posture).**

```
User-agent: GPTBot
User-agent: ChatGPT-User
User-agent: OAI-SearchBot
User-agent: ClaudeBot
User-agent: anthropic-ai
User-agent: claude-web
User-agent: PerplexityBot
User-agent: Perplexity-User
User-agent: Google-Extended
User-agent: CCBot
Disallow: /
```

**Three rules to verify after editing robots.txt.**

1.  The file is reachable at `https://yourdomain.com/robots.txt` with a 200 response.
2.  User-agent names match the official documented strings exactly (case-insensitive, but spell them right).
3.  You have not accidentally blocked Googlebot or Bingbot — a one-line mistake can de-index a site.

Test before deploying

A typo in robots.txt (Disallow: / under User-agent: \*) can remove your site from Google overnight. Test changes on a staging domain or use Google Search Console's robots.txt Tester before pushing to production.

![Linus Ingemarsson](/images/linus-ingemarsson.png)![Eric Lundberg](/images/eric-lundberg.png)![Alice Holmgren](/images/alice-holmgren.png)

Alice Labs practitioner team 

## Want a hand auditing your AI crawler posture?

Alice Labs runs a robots.txt + llms.txt audit across ChatGPT, Perplexity, Claude, and Google AI Overviews — including per-agent log analysis — across 100+ Nordic enterprise implementations.

[Request an LLMO audit](#contact)

05 / 07 Chapter 

## llms.txt as a Positive Signal (vs robots.txt as Gatekeeper)

In short

robots.txt controls access — it is a gatekeeper. llms.txt is a curated markdown index of high-value pages — it is a positive signal. They coexist. robots.txt says what bots may read; llms.txt says what is worth reading.

llms.txt was proposed by Jeremy Howard at Answer.AI on September 3, 2024. The full spec lives at llmstxt.org.

Where robots.txt is access control, llms.txt is curation. The two files do different jobs and should both exist on a serious site.

**How they differ.**

-   **robots.txt** — plain text, served at `/robots.txt`. Tells crawlers what they may access. Universally supported since the 1990s.
-   **sitemap.xml** — XML, served at `/sitemap.xml`. Lists every URL on the site for search engines.
-   **llms.txt** — markdown, served at `/llms.txt`. Curates the high-signal subset and describes it in plain language for LLM crawlers.

**The audit failure mode.** Publishing llms.txt while blocking ClaudeBot or OAI-SearchBot in robots.txt makes the file invisible. Always reconcile the two files before shipping.

**The full LLMO stack.** robots.txt + llms.txt + Schema.org structured data + clean fast HTML + citation-rich, entity-clear writing. Aggarwal et al. (2024) found that citation-rich content saw up to 40% improved visibility in generative engines.

Zero-click context

SparkToro's 2024 zero-click study found roughly 60% of searches end without a click to the open web. Citation surface in generative engines and AI Overviews has become the new visibility metric — and that surface depends on bots being able to crawl you.

SparkToro 2024 zero-click study

06 / 07 Chapter 

## Cloudflare and Bot Management Services

In short

robots.txt is honored voluntarily. Bot management services like Cloudflare add server-side enforcement: identifying bots by behavior and IP rather than user-agent string, and blocking or rate-limiting them at the edge. They are the practical answer for hard enforcement.

robots.txt is a polite request. A misbehaving crawler can ignore it. Bot management services close that gap by enforcing policy at the network edge.

**What bot management services add.**

-   **Behavioral identification.** Bots are detected by fingerprint and traffic pattern, not just by the user-agent string they send.
-   **Edge-level enforcement.** Blocked traffic is dropped before it reaches your origin, saving compute and bandwidth.
-   **Curated bot lists.** Cloudflare and similar providers maintain categorized lists of AI crawlers and let you toggle them on or off as a group.
-   **Logging and analytics.** Per-bot dashboards show who is crawling, how often, and which paths they hit.

Cloudflare publicly offers AI bot management as a service, including a one-click "Block AI Bots" feature that covers the major user agents discussed in this guide.

**When to use a service vs robots.txt alone.**

-   **robots.txt is enough** for most sites that simply want to express a preference and trust major providers to honor it.
-   **A bot management service is needed** when policy is mandatory (paywalled content, regulated industries, IP-sensitive material) or when you see traffic from bots that ignore robots.txt.

Layer your controls

robots.txt expresses intent. Bot management enforces it. Most enterprises run both in parallel — robots.txt for the polite majority, edge rules for the rest.

### Want to discuss how this applies to your organization?

Book a free 30-minute strategy call with our AI team.

[Book a call](/en/ai-consulting-services#contact-form)

07 / 07 Chapter 

## Monitoring Crawler Traffic in Server Logs and GA4

In short

Monitor AI crawler traffic with server logs (filter by user-agent string) and GA4 (filter custom reports by user-agent or referral domain). Track GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended, and CCBot at minimum. Without monitoring you cannot verify that your robots.txt rules are being honored.

A robots.txt rule you do not verify is a hope, not a control. The only way to confirm bots are behaving is to watch your logs.

**Server logs (the source of truth).** Most web servers (Nginx, Apache, IIS, edge CDNs) log every request with its user-agent string. Filter by the strings below.

```
# Example — count requests per AI user agent (Nginx)
grep -E "GPTBot|ChatGPT-User|OAI-SearchBot|ClaudeBot|anthropic-ai|claude-web|PerplexityBot|Perplexity-User|Google-Extended|CCBot" \
  /var/log/nginx/access.log \
  | awk -F'"' '{print $6}' \
  | sort | uniq -c | sort -rn
```

**What to look for in logs.**

-   **Volume per agent.** Are major bots crawling at all, or are they absent because of a robots.txt mistake?
-   **Top paths.** Which pages are AI bots fetching most? These are the ones most likely to be cited.
-   **Status codes.** Lots of 403 / 404 / 5xx for AI bots is a self-inflicted visibility problem.
-   **Hits to /llms.txt and /robots.txt.** Confirm the files are actually being requested.

**GA4 (the secondary view).** GA4 does not track bots by default, but you can use custom reports filtered by user-agent (via Measurement Protocol or server-side tagging) and you can track referral traffic from chatgpt.com, perplexity.ai, and claude.ai to measure the downstream citation impact.

**Build a quarterly review loop.**

1.  Pull server logs for the last 90 days, filtered by AI user agent.
2.  Compare crawl volume against your robots.txt policy — are allowed bots actually showing up?
3.  Cross-reference with referral analytics — are crawl visits translating into citation traffic?
4.  Adjust robots.txt or llms.txt as needed and re-validate.

Pair logs with citation tracking

Server logs tell you who is crawling. Citation tracking tools (Otterly.ai, Profound, prompt audits) tell you who is citing. Together they close the loop on AI-search measurement.

## About the Authors & Reviewers

Published May 6, 2026 · Updated May 15, 2026 

Written by 

![Linus Ingemarsson - Co-Founder, Alice Labs at Alice Labs](/images/linus-ingemarsson.png)

[Linus Ingemarsson](https://www.linkedin.com/in/linus-ingemarsson/)

Co-Founder, Alice Labs

Co-Founder at Alice Labs. Author of 7 research reports on AI adoption, governance and labor markets cited across EU, OECD and US benchmarks.

-   8+ years in AI strategy & implementation 
-   Top-5 AI Speaker, Sweden (Mindley 2025) 
-   100+ enterprise AI engagements 

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[](https://www.linkedin.com/in/linus-ingemarsson/)[](mailto:linus@alicelabs.ai)

Reviewed by May 15, 2026

![Eric Lundberg - Co-Founder, Alice Labs at Alice Labs](/images/eric-lundberg.png)

[Eric Lundberg](https://www.linkedin.com/in/eric-lundberg-3530451bb/)

Co-Founder, Alice Labs

Co-Founder at Alice Labs. Builds AI automation, agent workflows and integration systems that hold up in real business operations.

-   AI automation & agent systems lead 
-   Workflow design across 100+ deployments 
-   Specialist in RAG, integrations & APIs 

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[](https://www.linkedin.com/in/eric-lundberg-3530451bb/)[](mailto:eric@alicelabs.ai)

Published May 6, 2026 · Updated May 15, 2026 

Reviewed for technical accuracy, methodology and source integrity. · All claims trace to public sources cited in-line. 

## Frequently Asked Questions

### What is the difference between GPTBot, ChatGPT-User, and OAI-SearchBot?

All three are documented OpenAI user agents but serve different purposes. GPTBot crawls content for training OpenAI models. ChatGPT-User fetches a page on demand when a ChatGPT user asks for it. OAI-SearchBot powers ChatGPT Search, which launched October 31, 2024, and handles retrieval and citation. They are documented at platform.openai.com/docs/bots and can be controlled independently in robots.txt.

### Should I block GPTBot or allow it?

It depends on your priority. Blocking GPTBot opts your content out of OpenAI training data going forward but does not affect ChatGPT Search citations (which use OAI-SearchBot). Most enterprises focused on visibility allow GPTBot; most rights-sensitive publishers block it. Blocking is forward-looking only — content already in earlier training corpora is not retroactively removed.

### Does Google-Extended affect Google Search ranking?

No. Google-Extended was introduced in September 2023 specifically to let site owners opt out of Gemini and Vertex AI training without affecting Google Search visibility. Googlebot remains the user agent for Search, and it is unaffected by your Google-Extended directive. This is documented at developers.google.com/search/docs/crawling-indexing/google-extended.

### Will blocking ClaudeBot stop Anthropic from citing my site?

Likely yes for new content. ClaudeBot is Anthropic's primary crawler, and blocking it means Claude has no current source for your pages. Anthropic also runs the anthropic-ai and claude-web user agents — match your rule across all three for consistency. Note that older content may already be in Claude's training corpus.

### How do I block CCBot, and why does it matter?

Add a User-agent: CCBot block with Disallow: / to your robots.txt. CCBot crawls for Common Crawl, a public web corpus that is widely used as training data by many LLM providers. Blocking CCBot is the single highest-leverage way to limit downstream training inclusion across many models at once, since one block affects every model trained on Common Crawl.

### Does robots.txt actually stop AI crawlers, or is it just a request?

robots.txt is honored on a voluntary basis. The major providers — OpenAI, Anthropic, Google, Perplexity — state publicly that their bots respect it. For hard enforcement against bots that ignore robots.txt, use server-side rules, WAF policies, or a bot management service like Cloudflare's AI bot controls. Most enterprises layer both: robots.txt for intent, edge rules for enforcement.

### What is the difference between robots.txt and llms.txt?

robots.txt is access control — it tells crawlers what they may read. llms.txt is curation — a markdown file at your root that lists high-value pages with descriptions, intended as a positive signal to LLM crawlers. They coexist and serve different jobs. You should publish both, and you should make sure the bots you allow in robots.txt are not the same ones blocked from reading llms.txt.

### How do I monitor which AI bots are actually crawling my site?

Filter your server logs by user-agent string. The agents to watch are GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, anthropic-ai, claude-web, PerplexityBot, Perplexity-User, Google-Extended, and CCBot. Track volume, top paths fetched, and HTTP status codes per agent. GA4 alone does not capture bot traffic — server logs or your CDN's bot dashboard are the source of truth.

[Previous in AI Search & LLMO 

### FAQ Schema for AI Search: Complete 2026 Guide (with JSON-LD)

](/en/insights/faq-schema-for-ai-search)[Next in AI Search & LLMO 

### GEO Audit Checklist: Is Your Site AI-Search Ready? (12 Categories)

](/en/insights/geo-audit-checklist)

## Further reading

-   [OpenAI — GPTBot, ChatGPT-User, and OAI-SearchBot documentation](https://platform.openai.com/docs/bots)· platform.openai.com 
-   [Anthropic — public information on ClaudeBot](https://www.anthropic.com)· anthropic.com 
-   [Google — Google-Extended documentation](https://developers.google.com/search/docs/crawling-indexing/google-extended)· developers.google.com 
-   [llms.txt — Official spec, examples, and validators](https://llmstxt.org)· llmstxt.org 

## Related reading

[howto 

### llms.txt Guide (2026): How to Create and Optimize the File

Step-by-step llms.txt setup — the positive-signal counterpart to AI crawler access control.

12 min](/en/insights/llms-txt-guide-2026) [pillar 

### AI Search Optimization: Complete Guide for 2026

Full LLMO playbook covering ChatGPT, Perplexity, Claude, and Google AI Overviews.

14 min](/en/insights/ai-search-optimization-guide) [deepdive 

### Schema.org for AI: Structured Data That LLMs Read

Structured data is what allowed crawlers extract — pair it with a clean robots.txt posture.

11 min ](/en/insights/schema-org-for-ai)

## Sources

1.  [OpenAI — GPTBot, ChatGPT-User, and OAI-SearchBot bot documentation](https://platform.openai.com/docs/bots)(accessed 2026-05-06) 
2.  [Google — Google-Extended user agent (introduced September 2023)](https://developers.google.com/search/docs/crawling-indexing/google-extended)(accessed 2026-05-06) 
3.  [Anthropic — anthropic.com (publicly documented ClaudeBot user agent)](https://www.anthropic.com)(accessed 2026-05-06) 
4.  [Common Crawl — CCBot documentation](https://commoncrawl.org/ccbot)(accessed 2026-05-06) 
5.  [llms.txt — Official specification, Jeremy Howard / Answer.AI (proposed September 3, 2024)](https://llmstxt.org)(accessed 2026-05-06) 
6.  [Aggarwal et al. — GEO: Generative Engine Optimization (arXiv:2311.09735, 2024)](https://arxiv.org/abs/2311.09735)(accessed 2026-05-06) 

Next scheduled review: 2026-08-13

![Linus Ingemarsson](/images/linus-ingemarsson.png)![Eric Lundberg](/images/eric-lundberg.png)![Alice Holmgren](/images/alice-holmgren.png)

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