Use when analyzing fan-out coverage, sub-query coverage, topic coverage gaps, or keyword-only SERP fan-out without a domain. Simulates AI query fan-out and optional domain coverage checks for a keyword.
Use when creating or reviewing an agent skill, adapting an external skill for public release, reviewing SKILL.md quality, or choosing handoff JSON and verify scripts. Right-sized packaging with predictable process; regression gates only when needed.
Use when auditing keyword cannibalization, same-domain page overlap, or hub-vs-hub conflicts before consolidation. Use for accidental hub vs intended hub, blog post outranking a landing page, or internal competition diluting rankings on one domain.
Use when auditing robots.txt, AI crawler permissions, GEO crawl policy, cornerstone path crawlability, or blocking/allowing GPTBot, PerplexityBot, OAI-SearchBot, and Google-Extended. Audits selective crawler rules per bot (training vs indexing crawl), validates Sitemap directives, and drafts policy-aligned robots.txt.
Use when recovering hub-and-spoke content architecture on a messy site — accidental hubs, hidden gems, legacy bloat, or onboarding a client without a designed pillar map. Use for organic architecture discovery, de facto pillar audit, GSC and GA4 triangulation, or bottom-up cornerstone recovery. Triggers: "hub and spoke audit", "discover my real pillars", "accidental cornerstone", "hidden gem pages", "performance matrix content audit", "triangulate GSC and GA4 with keyword data".
Use when running a cornerstone content audit, pillar content review, or content architecture audit. End-to-end: discover pages, identify cornerstones, health audit, cannibalization check, and enhancement plan.
Use when triaging landing pages with Google Analytics (GA4) and Google Search Console exports — query intent and landing-page discovery, optional conversion quadrants, accidental hubs, or prune review before hub-and-spoke recovery. Ask whether the audit should be discovery-only or discovery-plus-conversions. Works in GA4-only or GSC-only partial mode when one source is missing. Domain-agnostic; CSV or API-shaped tables.
Use when evaluating information gain, content uniqueness, SERP differentiation, or what makes a page worth citing. Scores unique value vs what already ranks for the same keyword.