Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness assessment
LLMS.txt (v1, 2025-10-21) (llmsummon.com) received an AI-readiness score of 70/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was accessible, and ai.txt was not found. The robots.txt analysis found 0 explicitly allowed and 0 blocked AI crawlers, with 1 declared sitemap. Homepage markup completeness was 0%; no Schema.org types were detected and 0 OpenGraph tags were detected. Results reflect the public site response observed on 2026-08-22T00:46:56.548Z.
llms.txt is accessible and contains 105 tokens. An expanded llms-full.txt is also available with 464 tokens, giving agents more direct context. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.
robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.
The mobile Lighthouse profile adds Performance 100/100, Accessibility 94/100, Best Practices 100/100, SEO 82/100, and experimental Agentic Browsing 33/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
Performance
Accessibility
Best Practices
Technical SEO
Agentic Browsing
The mobile page renders efficiently; its largest visible content block appeared in 0.8 s.
Accessibility scored 94/100, Best Practices 100/100, and technical SEO 82/100. The experimental Agentic Browsing category scored 33/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
Verify unique titles and descriptions, crawlability, canonicals, descriptive link text, and language relationships. This reduces ambiguity for search engines and AI systems selecting a page.
Keep important actions available through named controls, predictable states, and visible confirmation. Agents work more reliably when a task does not depend on hidden gestures or ambiguous UI.
First content
Main content
Layout stability
Blocking time
Visual speed
Machine-readable files, crawler policy, discovery, and homepage markup.
ai.txt file was not found
1 sitemap found
Schema.org markup was not found on the homepage
OpenGraph tags were not found on the homepage
Based on robots.txt analysis
Declared discovery routes for crawlers and agents.
# LLMS.txt (v1, 2025-10-21) Site: https://llmsummon.com/ Canonical sitemap: https://llmsummon.com/sitemap.xml Primary pages - About: (n/a) - Topics hub: (n/a) - Contact: (n/a) Citation & usage - Please attribute the source domain. - Short quotes allowed for summary/context. Do not reproduce full articles. Technical - robots.txt: https://llmsummon.com/robots.txt - AI policy: https://llmsummon.com/ai-crawler.txt