Turn your technical SEO report into a punch list your developer can actually execute — filtered to only what's hurting AI visibility.
Anyone who's run RankAhead's SEO analysis, seen the score, and then done nothing with it because it wasn't formatted as work.
Technical SEO reports are comprehensive by design — but "comprehensive" often means unactionable. Not every failing check matters for AI crawlability specifically (schema, robots.txt, llms.txt, page structure) versus generic on-page SEO.
Using the RankAhead MCP for [YOUR DOMAIN]:
1. Call run_seo_analysis (or get_seo_analysis if one already exists).
2. From the results, separate into two buckets:
• AI-crawlability blockers: missing/broken schema, robots.txt or llms.txt issues, JS-rendered content AI crawlers can't parse, missing FAQPage/Article markup
• General on-page SEO: everything else (meta tags, headings, internal links)
3. For the AI-crawlability bucket only, write each as a developer-ready ticket:
Issue | Where it is | Exact fix | Why it matters for AI visibility
4. Order by effort (low to high). Skip anything that's already passing.
AI engines and Google don't parse pages identically. A page can rank fine on Google and still be invisible to an AI crawler because of one schema gap — this isolates that specific class of problem instead of burying it in a 40-point audit.
RankAhead's SEO analysis already flags these checks — this workflow turns the raw report into a ticket-ready fix list in one Claude conversation.