Weak AI visibility with 1 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
villagelabs.com is currently not AEO-ready, with an overall score of 9 and multiple foundational discovery signals missing. The site does have HTTPS enabled and includes substantial on-page text plus 76 quantitative data points, but critical machine-readable infrastructure is absent: no JSON-LD schema, no llms.txt (404), no robots.txt (404), no canonical tags, and no valid sitemap entries. Structural extractability is also weak, with 0 H1 tags, 0 internal links, no semantic landmark elements detected, and no direct Q&A formatting. In its current state, AI engines can crawl very little context with confidence, limiting citation and retrieval potential.
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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.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
AI crawlers follow internal links to discover and contextualize content. A page with zero inbound links is a page AI will never find. Hub pages linking to 20+ related articles signal topical authority that both engines reward.
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