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AI crawlers

Concept in AI search and SEO
Volatile, last checked 2026-09-04 This page carries measured figures that move quickly.Reviewed 2026-09-04

AI crawlers are the automated fetchers run by AI companies, and they do four different jobs that site owners often treat as one. Training scrapers collect text for model training, search crawlers build the index an answer engine cites from, assistant fetchers pull a single page live for one user's question, and agents browse on a person's behalf. OpenAI documents the split explicitly: GPTBot for training, OAI-SearchBot for search, ChatGPT-User for live fetches, each controlled independently in robots.txt[1].

Identifying a crawler

A user-agent string is a claim, not proof. OpenAI publishes a separate machine-readable IP range list for each of its crawlers, so an operator can check where a request actually came from[2]. The general test is to match the source IP against the operator's published ranges and, where supported, run forward-confirmed reverse DNS: the PTR hostname must end at the operator's own domain and forward-resolve back to the same IP. Googlebot supports both, with 315 published ranges[3].

Your page One URL, four kinds of fetch Search crawler Assistant Training scraper Agent Reads on a schedule and stores the page Fetches live, mid-answer, for one question Collects text in bulk for a future model Acts for one person: clicks, books, buys Feeds: the index Feeds: this answer Feeds: model weights Feeds: a task Can cite you later Can cite you now Never cites you Not a reader Blocking is a per-class decision, not one switch Refusing the scraper costs nothing in citations, refusing the crawler costs all of them
The four classes fetch the same URL for different reasons, and only two of them can ever send a citation back.

Compliance with robots.txt

Obedience is partial and operator-specific. A study of 130 self-declared bots over 40 days, using controlled robots.txt experiments, found bots comply less as the directive gets stricter, and that whole categories of bot, AI search crawlers among them, rarely check robots.txt at all, so a Disallow line is not a uniform control[4].

Crawl against referral

The ratio of pages taken to visitors returned separates the operators by three orders of magnitude. For the 28 days to 21 July 2026, Cloudflare Radar put Mistral at 3,389 pages crawled per referral, Anthropic's ClaudeBot at 2,237, PerplexityBot at 225, GPTBot at 217, Microsoft Copilot at 35 and Google at 4.6[5]. The figures move fast: the same panel put Anthropic at 56,969 to 1 in January 2026 and 2,363 to 1 in July, as Claude began citing and linking sources[6]. Volume shifted just as sharply over the preceding year, GPTBot rising from 5% to 30% of AI crawler traffic while ClaudeBot fell 46% and Bytespider fell 85%[7].

Blocking and what it costs

On 1 July 2025 Cloudflare changed the default on its network to block AI crawlers unless they pay for the content, inverting the opt-out norm[8]. Blocking is not free. A staggered difference-in-differences study of news publishers found that those who blocked GenAI crawlers lost about 23% of their SimilarWeb traffic (ATT -0.262, 95% CI -0.352 to -0.173)[9]. The pattern is also uneven by publisher type: 60.0% of reputable news sites block at least one AI crawler against 9.1% of misinformation sites, and blocking among reputable sites rose from 23% in September 2023 to nearly 60% by May 2025[10], which skews what models read. See ChatGPT Search and llms.txt.

Data

Anthropic crawl-to-refer ratio, 20260150003000045000600002026-012026-032026-052026-07569692363
Anthropic crawl-to-refer ratio, 2026. Figures in pages crawled per referral.Source: seomator.com
Show the numbers (4)
Pointpages crawled per referral
2026-0156969
2026-0311870
2026-0511934
2026-072363
References (10)
  1. Overview of OpenAI Crawlers - OpenAI developer docs Archive
    Documentation Retrieved 2026-09-04
  2. Overview of OpenAI Crawlers - OpenAI developer docs Archive
    Documentation Retrieved 2026-09-04
  3. Web Crawler & AI Bot Reference - Patrick Stox Archive
    Vendor documentation Published 2026-01-01 Retrieved 2026-09-04 Single-source
  4. Scrapers selectively respect robots.txt directives: evidence from a large-scale empirical study - arXiv / ACM IMC 2025 Archive
    Academic Published 2025-05-27 Retrieved 2026-09-04
  5. GEO Data Report 2026: Which AI Crawlers & LLM Bots Take the Most - SEOmator (citing Cloudflare Radar) Archive
    Vendor documentation Published 2026-07-21 Retrieved 2026-09-04 Single-source Volatile, last checked 2026-09-04
  6. GEO Data Report 2026: Which AI Crawlers & LLM Bots Take the Most - SEOmator (citing Cloudflare Radar) Archive
    Vendor documentation Published 2026-07-21 Retrieved 2026-09-04 Single-source Volatile, last checked 2026-09-04
  7. From Googlebot to GPTBot: Who's crawling your site in 2025 - Cloudflare Blog Archive
    Vendor documentation Published 2025-07-01 Retrieved 2026-09-04 Volatile, last checked 2026-09-04
  8. Content Independence Day: no AI crawl without compensation! - Cloudflare Blog Archive
    Vendor documentation Published 2025-07-01 Retrieved 2026-09-04
  9. Strategic Response of News Publishers to Generative AI - Zhao & Berman, arXiv 2512.24968 Archive
    Academic Published 2025-12-31 Retrieved 2026-09-04 Single-source
  10. Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web - arXiv 2510.10315 Archive
    Academic Published 2025-10-11 Retrieved 2026-09-04

Last updated 2026-09-04. Written and maintained by Baseline Labs.

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