Moderate AI visibility with 39 of 48 criteria passing. Biggest gap: speakable schema.
Developer Tools & InfrastructureAI & ML PlatformsVerdict
Moderate AEO readiness at 67/100 with significant gaps to address. Key strengths include llms.txt File, Schema.org Structured Data, and Q&A Content Format. Priority gaps: Speakable Schema, Image Context for AI, and Methodology Transparency.
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Guides for the criteria with the most room for improvement
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.
AI can't see your images. It reads the markup around them. A product photo with alt="image1.jpg" tells AI nothing. A figure with a descriptive figcaption and 8-word alt text tells AI exactly what it's looking at - and that context feeds directly into citation decisions.
AI engines distrust content that makes claims without explaining how those claims were derived. "Our product is rated #1" means nothing without methodology. "We tested 12 platforms over 6 weeks using 4 criteria" means everything. Methodology Transparency measures whether your content shows the process behind its conclusions.
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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