Moderate AI visibility with 31 of 48 criteria passing. Biggest gap: speakable schema.
Finance & PaymentsCorporate Finance PlatformsVerdict
Below-average AEO readiness at 57/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and Q&A Content Format. Priority gaps: Speakable Schema, Extraction Friction Score, and Content Publishing Velocity.
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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.
Your content is brilliant. AI can't read it. Sentences averaging 35 words, jargon-packed leads, and hidden content behind toggles create friction that makes AI skip you for a simpler source. Extraction Friction measures how hard AI has to work to pull answers from your pages.
You published a great blog post in January. It's now February and nothing else has appeared. AI engines notice -and they're crawling less often because of it.
AI engines increasingly prioritize content from people who have direct experience with their topic. Generic "top 10 best" listicles written from secondhand research score poorly. Pages with specific actions taken, limitations discovered, and numeric results earned score well. First-Hand Experience Signals measure whether your content shows evidence of real-world involvement.
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