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1fancyMCP SERVER · OFFICIAL PROJECT

Ranki SEO & AEO Audit

Audits a URL for search and answer-engine visibility, and generates the sitemaps that follow.

by 1fancy ↗SEO, Web & Product Analytics✓ Official

LABSCO SUMMARY

Auditing for answer engines is a different job from auditing for search, and treating them as one is the common mistake.

A page can rank well and still be useless to an assistant summarising it — buried claims, no structure, facts that only exist in an image. Checking both criteria in one pass is the right shape now that a growing share of readers arrive through a model rather than a result list. Pairing the tools with a skill file is the other good idea: the tools tell the agent what it can measure, the skill tells it what to do about the answer.

What it is

An SEO server that also covers AEO — answer engine optimisation, meaning how a page fares when an assistant rather than a search engine reads it. Its companion skill is installed separately; install_skill returns the installation commands for ranki-seo-skills.

What you get

  • An audit of any URL across both search and answer-engine criteria
  • Sitemap generation
  • A separately installed companion skill file that hands the agent the working method, not just the tools

Requirements

For local stdio, have Node.js 20 or later and npx on your PATH. Fifteen tools need no Ranki.io account or key. The seven tools that read your Ranki.io account data—called “paid bridge tools” by Ranki.io—require RANKI_API_KEY in your environment, obtained at app.ranki.io/developer.

Setup effort

One command — npx -y @ranki.io/seo-aeo-mcp