Moderate AI visibility with 13 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
overlord.app has a mid-tier AEO foundation with an overall score of 50/100: core technical hygiene is present, but AI-discovery readiness is incomplete. Strengths include Schema.org implementation (10/10), canonical strategy (10/10), and definition-pattern signaling (9/10), which support machine interpretation. The biggest drag is discoverability governance and extractable answer architecture: llms.txt is missing (0/10), RSS/Atom is missing (0/10), table/list extractability is missing (0/10), and question-answer formatting remains weak (1/10). With focused fixes to crawler directives, answer formatting, freshness cadence, and expert attribution, the site can move from baseline eligibility to consistently quotable AI visibility.
Scoreboard
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Improve Your Score
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 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.
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We build citation-ready content that AI engines choose as the answer.