Weak AI visibility with 8 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
goveagle.com currently has limited AEO readiness with an overall score of 33/100, driven by multiple foundational gaps in machine-readable guidance and structured markup. Core discovery signals are missing, including llms.txt (0/10), Schema.org structured data (0/10), FAQ coverage (0/10), and schema depth (0/10), while freshness and publishing signals are weak (2/10 each). The site does show usable technical footing with clean crawlable HTML (7/10), strong internal linking (8/10), and high fact density (8/10), which creates a practical base for rapid gains. Priority should be adding AI-facing directives, answer-oriented content architecture, and entity/author schema to convert existing content strength into AI retrievability.
Scoreboard
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Top Opportunities
Improve Your Score
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.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
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.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
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