Weak AI visibility with 5 of 10 criteria passing. Biggest gap: llms.txt file.
Verdict
eldercareadvocacy.com is crawlable and has baseline SEO foundations (HTTPS, XML sitemap, server-rendered pages, and Yoast JSON-LD), but it is not yet optimized for AI engine discovery patterns. The site is missing `llms.txt`, lacks FAQ endpoints and FAQ schema, and does not provide explicit AI crawler rules in `robots.txt`. Stronger entity schema, dedicated Q&A content, and original data assets would materially improve AEO performance.
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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.
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 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.
Most sites run default platform robots.txt with zero AI-specific rules. That's not a strategy -it's an accident. Explicit Allow rules for GPTBot, ClaudeBot, and PerplexityBot signal that your content is open for citation.
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