Moderate AI visibility with 25 of 48 criteria passing. Biggest gap: llms.txt file.
Developer Tools & InfrastructureAI & ML PlatformsVerdict
Below-average AEO readiness at 55/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Internal Linking Structure, and Sitemap Completeness. Priority gaps: llms.txt File, Speakable Schema, and Query-Answer Alignment. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.
How to Improve
Top Opportunities10
Fix It With AI38
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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.
Voice assistants need to pick which paragraph to read aloud from your page. Without Speakable markup, they guess -and they frequently guess wrong, reading your cookie notice.
You wrote a 3,000-word guide on "customer support automation." But people ask AI "how do I reduce support ticket volume?" If your content doesn't match the actual queries, AI can't connect the dots.
A statistic without a source is a liability. A claim without attribution is invisible. We track evidence packaging across every audit and the pattern is clear - sites that cite their sources get cited by AI. Sites that state facts without attribution get skipped.
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