30 checks in Content Quality & Entity Semantics. AI-assisted Scored in the Deep Audit's AI analysis pass.
| ID | Check | Passes when |
|---|---|---|
| 3.9.01 | Identify the primary claim or thesis on each key content page | Clear thesis present |
| 3.9.02 | Evaluate whether primary claim contains information not present in top 10 SERP results | Novel information detected |
| 3.9.03 | Detect original data, statistics, or research cited with primary sources | Original data present |
| 3.9.04 | Detect proprietary frameworks, models, or methodologies | Unique IP |
| 3.9.05 | Detect first-hand experience signals (case studies, testimonials, before/after) | Experience evidence |
| 3.9.06 | Detect unique visual content (original images, diagrams, infographics) | Original visuals |
| 3.9.07 | Detect unique video content (not embedded third-party) | Original video |
| 3.9.08 | Evaluate content freshness (updated within 12 months for evergreen, 3 months for dynamic) | Current |
| 3.9.09 | Detect content that merely summarizes competitor content without adding value | Not derivative |
| 3.9.10 | Detect content that provides a unique angle or perspective on common topics | Unique angle |
| 3.9.11 | Detect expert quotes or interviews not available elsewhere | Exclusive insights |
| 3.9.12 | Detect original tools, calculators, or interactive elements | Unique utility |
| 3.9.13 | Evaluate depth of coverage compared to top-ranking competitors | Equal or greater depth |
| 3.9.14 | Detect unique subheadings/sections not covered by competitors | Novel sections |
| 3.9.15 | Detect contradictions or corrections of widely-held misconceptions | Corrective authority |
| 3.9.16 | Evaluate specificity of examples (generic vs industry-specific) | Specific examples |
| 3.9.17 | Detect local/regional data not available in national sources | Local specificity |
| 3.9.18 | Detect temporal analysis (trends, year-over-year comparisons) | Trend data |
| 3.9.19 | Evaluate entity-level novelty (unique entity relationships not in Knowledge Graph) | Novel entities |
| 3.9.20 | Detect pricing data, availability data, or inventory data not widely published | Exclusive data |
| 3.9.21 | Evaluate multi-perspective coverage (pros AND cons, not just sales copy) | Balanced |
| 3.9.22 | Detect user-generated content adding unique perspectives (comments, reviews) | Community value |
| 3.9.23 | Evaluate content for E-E-A-T signals tied to novelty (author credentials + unique insight) | Credentialed novelty |
| 3.9.24 | Detect content updates that add information gain (not just date changes) | Substantive updates |
| 3.9.25 | Evaluate whether page would lose all value if competitors' content existed | Independent value |
| 3.9.26 | Detect schema markup for unique data points (datasets, statistics) | Structured novelty |
| 3.9.27 | Evaluate citation patterns (does content cite sources, or just assert?) | Cited claims |
| 3.9.28 | Detect content that could be auto-generated by AI without loss of value | Human-unique value |
| 3.9.29 | Calculate overall Information Gain delta vs top 5 SERP competitors | Positive delta |
| 3.9.30 | Compute Information Gain & Novelty Score | Finalized |
← 3.8 Query Intent Alignment Suite3.10 AI Agent Readiness →
A Deep Audit scores every check here that applies to your page, then an AI pass of up to 150 checks. Included on Pro and Ultra, or $9 for one audit.
See plansMachine-readable: catalog totals and the full catalog as JSON (IDs, section, weight, status).