Weak AI visibility with 10 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
vulcan-tech.com has a usable technical base for AEO, with strong structured data (4 JSON-LD blocks across 5 schema types), valid sitemaps, RSS feed support, and clean HTTPS/canonical setup. However, core AI-discovery controls are missing: there is no valid /llms.txt, no /ai.txt, and no explicit AI crawler directives in robots.txt despite a 200 response. Extractable answer formatting is also weak, with only 1 question heading, no clear Q&A pairs, no lists/tables, and zero detected internal links on the homepage. In short, the site is indexable and schema-aware, but not yet packaged for high-confidence AI citation.
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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 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.
Your sitemap says 500 pages exist. Our crawl finds 700. Those 200 missing URLs? AI crawlers will never know they exist.
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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