Weak AI visibility with 2 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
vortexify.ai has foundational technical hygiene in place (HTTPS, title/meta description, and a self-referencing HTTPS canonical), but it is not AEO-ready in its current state. The site’s overall score is 15, with major discovery and extractability blockers: `llms.txt`, `robots.txt`, `sitemap.xml`, RSS feed, FAQ surface, and direct-answer content are all missing (404/not found). Raw crawl evidence also shows zero internal links, zero H1 tags, zero question headings, and only one limited `Organization` JSON-LD block, which materially limits AI citation and retrieval potential.
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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.
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.
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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