Weak AI visibility with 6 of 22 criteria passing. Biggest gap: schema.org structured data.
Verdict
host.milaconcierge.com is currently at an early AEO maturity level with an overall score of 26/100, indicating limited readiness for AI answer engines despite solid technical foundations. The site performs well on llms.txt and canonical strategy (both 10/10), and has a valid sitemap (7/10), but critical machine-understandable signals are missing: Schema.org Structured Data (0/10), Schema Coverage Depth (0/10), FAQ (0/10), and Direct Answer Paragraphs (0/10). Content extraction is further constrained by weak information architecture, including only 4 internal links, no H1, no question headings, and no structured fact blocks. In short, the site is crawlable but not yet sufficiently structured or evidence-rich to be consistently cited in AI-generated answers.
Scoreboard
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Guides for the criteria with the most room for improvement
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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.
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We build citation-ready content that AI engines choose as the answer.