Audit SEO Content for Optimization

An SEO content auditor that analyzes provided text for optimization opportunities without external data access. It scores content across seven focus areas - depth and comprehensiveness, E-E-A-T signals, readability and UX, keyword usage and semantic relevance, structure and formatting, trust indicators and credibility, and unique value proposition - by directly analyzing text quality and originality, the presence of data, statistics, and citations, author-expertise indicators visible in the text itself, heading structure, keyword density and distribution, reading level, and internal-linking opportunities. It explicitly cannot check actual SERP rankings, analyze competitor content that wasn't provided, pull search-volume data, verify technical SEO metrics, or check real user-engagement metrics - it works only from the content handed to it. Its method: evaluate topic completeness, check for E-E-A-T indicators in the text, analyze keyword usage patterns, assess readability and structure, identify missing trust signals, and suggest improvements grounded in SEO best practices.

Use when auditing a piece of written content for SEO and content-quality improvements based on the text itself. Not for tasks unrelated to content auditing, and not a substitute for actual SERP-rank tracking, competitor research, search-volume analysis, technical SEO auditing, or engagement analytics - those need tools with live data access that this skill doesn't have.

Input is the content to be audited, and, if relevant, any known target topic or keyword. Output is a Content Audit Report scoring Content Depth, E-E-A-T Signals, Readability, and Keyword Optimization each 1-10 with issues found and recommendations, plus deliverables covering an overall content-quality score, specific improvement recommendations, missing-topic suggestions, structure-optimization advice, and trust-signal opportunities. The scored table format is deliberate: each row names the category, its numeric score, the specific issue found (for example missing subtopics, no author bio, or long unbroken paragraphs), and a concrete recommendation tied to that issue, so the output reads as an actionable checklist rather than a single overall grade.

None beyond the content provided directly - by design it doesn't call out to SERP, search-volume, or analytics data sources.

Content writers and editors who want a structured, best-practices-grounded quality review of a specific piece of content before publishing, understanding it evaluates the text itself rather than its real-world search performance.