Example output: examples/seo-geo-notion-share-pages-20260514/GEO.md

Page-Level GEO (Generative Engine Optimization)

For one URL, surface its AI-search citation footprint and recommend the page-level changes that would improve citability across AI Overview, Perplexity, ChatGPT, and other LLM-powered search engines. Different from the domain-level brand-vs-brand share-of-voice — this is page-level diagnosis.

Prerequisites

SE Ranking MCP server connected.
Claude's WebFetch tool available.
User provides: a target URL. Optional: target country (default us), specific keywords to focus on (defaults: the URL's top-5 traffic-weighted keywords from SE Ranking).

Process

Validate target & preflight. See skills/seo-firecrawl/references/preflight.md for the canonical 3-stage preflight (credit balance, Firecrawl availability, Google APIs). Skill-specific notes:
- Confirm URL is fetchable before continuing.
- Estimated SE Ranking cost for this skill: ~10–20 credits typical (URL keyword footprint, AIO presence + leaderboard for top 5 keywords).
- Firecrawl: optional, ~3 Firecrawl credits if available. When available, the JSON-LD parse in step 7 and the AI-protocol-files step 8 use it. Without it, those steps emit (skipped — Firecrawl not installed; install via extensions/firecrawl/install.sh) notes in GEO.md rather than failing the run. Pass --no-firecrawl to skip Firecrawl even when available (saves credits).
- Google APIs: not used.