Weak AI visibility with 4 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
proliferate.com has a solid technical base for crawlability, with HTTPS enabled, substantial indexable text (18,359 characters), semantic structure (main/nav/header/footer/section), and complete image alt coverage (20/20). However, AEO readiness is currently low (overall score: 25) because foundational machine-readable signals are missing: no llms.txt (404), robots.txt (404), sitemap.xml (404), canonical tags, or JSON-LD blocks (schema_block_count: 0). Content is also under-optimized for answer engines, with only 1 question heading, no dedicated FAQ page (/faq returns 404), no direct Q&A pairs, and no extractable tables or ordered lists. In short, discoverability exists for traditional crawling, but citation readiness for AI engines is still largely unbuilt.
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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.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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