Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
markittrade.com is currently not AEO-ready, with an overall score of 4 and major foundational gaps across discoverability, structure, and extractability. The site is reachable over HTTPS and has a robots.txt (HTTP 200), title tag, and meta description, but critical machine-readable assets are missing: /llms.txt returns 404, /sitemap.xml returns 404, /faq returns 404, and no JSON-LD schema is present. The homepage has very low crawlable text (51 characters), no H1, no internal links, and no semantic landmarks like <main>, <nav>, or <footer>, which limits AI systems' ability to interpret and cite content. Without schema, FAQs, factual content blocks, or freshness signals, the site has low citation potential in AI-generated answers.
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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.
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.
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.
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