Weak AI visibility with 23 of 48 criteria passing. Biggest gap: llms.txt file.
Verdict
Critical AEO gaps at 41/100 - kindor.co is largely invisible to AI engines. Key strengths include Fact & Data Density, Canonical URL Strategy, and Duplicate Content Blocks. Priority gaps: llms.txt File, Speakable Schema, and Content Depth. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.
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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.
A 300-word page cannot compete with a 3,000-word deep dive for an AI citation. Content Depth measures the substance on your pages - word counts, heading structure, and the ratio of deep pages to thin ones across your site.
AI engines give your page about 300 words to prove it has the answer. Sites that open with "In today's rapidly evolving landscape..." waste that window. Sites that open with the answer win the citation. We track this across every audit - and the gap is brutal.
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