Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
voltairlabs.com has a workable technical base for AEO, with HTTPS enabled, valid sitemap XML, and solid schema presence (2 JSON-LD blocks with Organization, LocalBusiness, and Service types). However, core AI-discovery controls are missing: both /llms.txt and /robots.txt return HTTP 404, and no RSS/Atom feed is exposed. Content is also under-optimized for answer engines, with no H1, only 1 question-style heading, no direct Q&A pairs, and weak internal linking (6 internal links), which limits 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.
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.
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 are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
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