Weak AI visibility with 12 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
Candoriq.com has a workable technical base for AI discoverability but low answer-engine readiness overall, reflected in a 47/100 AEO score. Core crawlability signals are strong (Clean HTML 9/10, Internal Linking 8/10, Sitemap Completeness 7/10 with 4,163 URLs), yet key AI-specific controls are missing (llms.txt 0/10, AI permissions/licensing 0/10, RSS/Atom 0/10). Content extraction quality is also constrained by weak FAQ and answer formatting (FAQ 2/10, Q&A format 3/10, Direct Answers 4/10) plus poor freshness signaling (2/10 with no datePublished/dateModified or <time> tags). This creates a high-upside improvement path: foundational SEO exists, but AEO intent signals need explicit structuring.
Scoreboard
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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.
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.
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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