Weak AI visibility with 4 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
Mercoa’s AEO readiness is currently low, with an overall score of 26/100 and multiple foundational gaps that prevent reliable AI extraction and attribution. Core machine-readable assets are missing, including llms.txt (0/10), schema.org structured data (0/10), canonical tags (0/10), FAQ coverage (0/10), and schema depth (0/10). The site does show solid technical crawlability in places, with strong scores for clean HTML (9/10), internal linking (8/10), semantic HTML/accessibility (8/10), and sitemap completeness (8/10). In short, Mercoa has a workable technical base but lacks the structured content and policy signals AI systems use to trust, cite, and surface answers.
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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