Weak AI visibility with 4 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
iliad.ai is currently at an early AEO maturity stage, with an overall score of 21/100 and multiple zero-score fundamentals missing. The site shows one solid foundation signal (Schema.org at 7/10 with Organization JSON-LD), but critical machine-consumption assets are absent, including llms.txt (404), canonical tags, FAQ/FAQPage markup, and direct-answer content patterns. Crawl and freshness signals are also weak: robots.txt has no AI-specific directives, sitemap coverage is limited to 5 URLs with no lastmod dates, and no publish/modify date metadata is present. In its current state, AI systems can identify the brand entity but lack enough structured, answer-ready, and up-to-date context to confidently surface iliad.ai in answer experiences.
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.
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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We build citation-ready content that AI engines choose as the answer.