Weak AI visibility with 26 of 48 criteria passing. Biggest gap: llms.txt file.
Finance & PaymentsCorporate Finance PlatformsVerdict
Critical AEO gaps at 44/100 - whatsub.co is largely invisible to AI engines. Key strengths include Semantic HTML5 & Accessibility, RSS/Atom Feed, and Fact & Data Density. Priority gaps: llms.txt File, Comprehensive FAQ Section, and Speakable Schema. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.
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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.
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.
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.
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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