Weak AI visibility with 4 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
getcobblestone.com is early-stage for AEO readiness with an overall score of 21/100, driven by major discoverability and extractability gaps. While technical hygiene has bright spots (Canonical URL Strategy: 10/10, Sitemap Completeness: 8/10, and Clean Crawlable HTML: 7/10), core AI-facing assets are largely absent, including llms.txt (0/10), FAQ coverage (0/10), and content licensing/AI permissions (0/10). The site also lacks answer-first formatting signals (Q&A content format: 0/10, Direct Answer Paragraphs: 2/10) and entity trust signals (Entity Authority/NAP: 1/10, Author/Expert Schema: 0/10). Immediate structural and schema upgrades can materially improve AI visibility without a full rebuild.
Scoreboard
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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.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
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.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
Want us to improve your score?
We build citation-ready content that AI engines choose as the answer.