Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
noxmetals.co has a minimal technical foundation for AI discovery, but its current AEO readiness is low at 22/100. The site does have HTTPS, a valid robots.txt (200), a valid sitemap (200), and one Organization JSON-LD block, which are useful starting signals. However, critical AI-consumption assets are missing, including `llms.txt` (404), `ai.txt`, FAQPage schema, direct-answer formatting, and internal links from the homepage (0). With no freshness markup, no extractable list/table structures, and no expert/fact signals, the site is currently under-positioned for citation by AI engines.
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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.
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.
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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