Weak AI visibility with 11 of 22 criteria passing. Biggest gap: llms.txt file.
Developer Tools & InfrastructureAI & ML PlatformsVerdict
librarlabs.com scores 45/100 on AEO readiness — a site with solid content foundations undercut by near-total absence of machine-readable metadata. The homepage demonstrates strong Q&A formatting (8/10), clean crawlable HTML (9/10), and rich fact density (8/10), yet zero JSON-LD structured data, no llms.txt file, and no content freshness signals (2/10) mean AI engines have little structured context to work with. The gap between content quality and technical discoverability represents a significant missed opportunity: the narrative is there, but the machine layer that would let LLMs confidently cite it is not.
Top Opportunities10
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Guides for the criteria with the most room for improvement
Tidio has a 251-line llms.txt. Crisp has zero. The score gap: +29 points. This single file tells AI assistants exactly what your site does -and without it, they're guessing.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
AI engines don't read your article top to bottom. They scan headings, grab the first 1-2 sentences underneath, and move on. If those sentences are throat-clearing preamble instead of a direct answer - you just lost a citation to someone who leads with the point.
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