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AuditLamp Research / Wave 01

Who blocks
the AI crawlers?

Sites can set different rules for AI training, AI search, and traditional search. We measured those differences across a sample from the Tranco top 1,000.

The sample, before the headline

Domains selected
1,000
Reachable domains
653
Not reached; excluded from rates
347
Named crawlers evaluated
15

Results describe this dated sample. They do not estimate the whole web.

Measured5 July 2026
SampleTranco list JZ2VY · 1 July 2026
Published10 July 2026
SourcePer-domain CSV

01 / The clearest comparison

One company.
Two different access patterns.

OpenAI's GPTBot was blocked by 109 of the 653 reachable sites. Its search crawler, OAI-SearchBot, was blocked by 60. The recorded rules distinguish the two; the data does not tell us why each publisher chose them.

GPTBot · training
16.7%
109 of 653 reachable sites
OAI-SearchBot · search
9.2%
60 of 653 reachable sites

Both bars use the same 0–20% scale. Percentages are rounded to one decimal place.

02 / Explore the results

Every crawler.
The same denominator.

Compare the share of reachable sites whose recorded robots.txt rules blocked each crawler. Filtering changes the rows shown, never the scale or sample.

All crawlers shown
CCBot 18.7% 122 sites
Bytespider 17.6% 115 sites
GPTBot 16.7% 109 sites
ClaudeBot 16.1% 105 sites
Meta-ExternalAgent 15.2% 99 sites
Google-Extended 15.0% 98 sites
PerplexityBot 14.1% 92 sites
Applebot-Extended 12.4% 81 sites
Amazonbot 11.9% 78 sites
Perplexity-User 11.2% 73 sites
ChatGPT-User 10.9% 71 sites
Claude-User 10.3% 67 sites
OAI-SearchBot 9.2% 60 sites
Bingbot 2.3% 15 sites
Googlebot 2.0% 13 sites
Orange: training crawlers. White: AI search and retrieval crawlers. Gray: traditional search crawlers. Values are also printed as percentages and site counts. Source: AuditLamp's 5 July 2026 measurement, n=653 reachable domains.

A robots.txt rule is an access instruction. These measurements do not establish whether a crawler actually visited, whether a model used the content, or whether a site was cited in an answer.

03 / Method and limits

What was measured.
What remains unknown.

A result is only useful if its boundary is clear. The complete CSV includes unsuccessful requests so the exclusions remain visible.

How to reproduce the figures

  1. Start with the 1,000 domain rows in the downloadable CSV.
  2. Keep the 653 rows where reachable = 1. The remaining 347 are excluded from these rates.
  3. For each named crawler, count rows whose corresponding block_… field equals 1.
  4. Divide that count by 653, multiply by 100, and round to one decimal place.

How to interpret them

The sample is drawn from highly ranked domains and has a substantial unreachable group. It is not a representative estimate for small business websites or the web as a whole.

Recorded rules may change after the measurement date. A permitted user-agent can still encounter a firewall, authentication requirement, or other access restriction.

Training, retrieval, and search labels help explain the comparison. Allowing a crawler does not guarantee indexing, rankings, training use, or AI citations.

Robots Exclusion Protocol · RFC 9309

04 / Use the evidence

Download it.
Check it. Cite it.

AuditLamp team. Who blocks the AI crawlers? Robots.txt policy in the Tranco top 1,000; 653 reachable domains. Measured 5 July 2026. Published 10 July 2026.

Free to use with attribution. Link to this study and include the measurement date and sample size.

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