geo/aeoplaybooks

anthropic.com at 65/100 — ranks 7th in panel

On 2026-09-15, anthropic.com scored 65/100, ranking 7th among 10 sites.

How this note was made: an LLM drafted it automatically from our own probe logs (the hourly GEO Pulse data), and it was published without line-by-line human editing. Every number comes from those logs; the method is on the methodology page.

GEO & AEO Playbooks anthropic.com at 65/100 — ranks 7th in panel geo/aeo playbooks · independent GEO lab

Anthropic.com scored 65/100 on our 2026-09-15 probe, ranking 7th in a panel of 10 well-known sites. The site shows partial visibility, with AI engines able to reach it, but two crucial signals need improvement to enhance its presence in generated answers.

How did anthropic.com perform in our latest probe?

Our probe on 2026-09-15 revealed that anthropic.com has partial visibility, scoring 65/100. While AI engines can reach the site, two significant areas require attention: the absence of a /llms.txt file and the lack of a JSON-LD schema on the homepage. These elements are essential for AI engines to accurately map and understand the site's content.

What does our probe history show for anthropic.com?

Since 2026-07-16, we have recorded 94 probes for anthropic.com. The observed score range for this domain has fluctuated between 55 and 65 out of 100. Recent readings show a consistent pattern, with scores alternating between 55 and 65, indicating some stability but also highlighting areas for potential improvement.

94probes recorded
55-65observed score range
7 of 10panel rank

How does anthropic.com compare to the panel average?

Within a panel of 10 well-known sites, anthropic.com ranks 7th, with the panel average at 77.3/100 and a median score of 90/100. The domain's performance is below average, particularly in comparison to leading sites like cloudflare.com, stripe.com, and vercel.com, all scoring 100/100. The panel often struggles with AI-crawler reachability and GPTBot/ClaudeBot access, but anthropic.com passes these tests.

What should a typical business site learn from this?

For a business site aiming to improve its visibility in AI-generated answers, addressing the lack of a /llms.txt file and implementing a JSON-LD schema are crucial steps. These elements help AI engines map content more accurately, increasing the likelihood of appearing in relevant answers. For guidance on optimizing AI crawler reachability, refer to the AI crawler playbook . For insights on creating an effective /llms.txt file, see our llms.txt guide .

What can the probe not tell us?

While our probe identifies areas for improvement, it cannot determine the specific reasons behind the absence of a /llms.txt file or JSON-LD schema. These issues require further investigation by the site administrators to understand and rectify the gaps in AI engine visibility. The probe provides a snapshot of current performance, but ongoing monitoring and adjustments are necessary to enhance the site's presence in AI-generated content.

Run the same 5-signal probe on your own domainThis note came out of the hourly GEO Pulse board. The free checker runs the identical probe on any site, and Monitor re-runs it every month.

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