What problem does it solve? Published content often underperforms in search because of weak E-E-A-T signals, keyword stuffing, cannibalized pages, and copy that AI Overviews and LLMs cannot cite. This Skill audits existing content against 2026 SEO quality standards so you can fix what is already live. ## Core Features & Use Cases - E-E-A-T Scoring: Evaluates Experience, Expertise, Authoritativeness, and Trustworthiness signals such as author credentials, first-hand evidence, and transparent ownership. - Local Keyword Analysis: Runs scripts/analyze-keywords.ts for density, n-grams, a 0-100 stuffing score, heading coverage, and per-location contextual mentions without any API key. - Anti-Cannibalization & Metadata Rules: Enforces one primary keyword and intent per URL, meta title under 60 characters, meta description under 150 characters, and proper H1/H2 keyword distribution. - Citation-Eligible Copywriting Checks: Verifies answer capsules under every H2, hyperlinked statistics every 150-200 words, and named entities instead of pronouns. - Use Case: Audit a local service page to confirm the primary keyword appears 5-8 times, city and region modifiers rotate naturally, and every H2 opens with a quotable 40-60 word answer. ## Quick Start Analyze the content at my-page.html for the primary keyword "plumber lyon" and report E-E-A-T gaps, stuffing risk, and heading coverage.
