$npx -y skills add zubair-trabzada/geo-seo-claude --skill geo-contentContent quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure
| 1 | # GEO Content Quality & E-E-A-T Assessment |
| 2 | |
| 3 | ## Purpose |
| 4 | |
| 5 | AI search platforms do not just find content — they evaluate whether content deserves to be cited. The primary framework for this evaluation is **E-E-A-T** (Experience, Expertise, Authoritativeness, Trustworthiness), which per Google's December 2025 Quality Rater Guidelines update now applies to **ALL competitive queries**, not just YMYL (Your Money Your Life) topics. Content that scores high on E-E-A-T is dramatically more likely to be cited by AI platforms. |
| 6 | |
| 7 | This skill evaluates content through two lenses: |
| 8 | 1. **E-E-A-T signals** — does the content demonstrate real expertise and trust? |
| 9 | 2. **AI citability** — is the content structured so AI platforms can extract and cite specific claims? |
| 10 | |
| 11 | ## How to Use This Skill |
| 12 | |
| 13 | 1. Fetch the target page(s) — homepage, key blog posts, service/product pages |
| 14 | 2. Evaluate E-E-A-T across the 4 dimensions (25% each) |
| 15 | 3. Assess content quality metrics (structure, readability, depth) |
| 16 | 4. Check for AI content quality signals |
| 17 | 5. Evaluate topical authority across the site |
| 18 | 6. Score and generate GEO-CONTENT-ANALYSIS.md |
| 19 | |
| 20 | --- |
| 21 | |
| 22 | ## E-E-A-T Framework (100 points total) |
| 23 | |
| 24 | ### Experience — 25 points |
| 25 | First-hand knowledge and direct involvement with the topic. AI platforms increasingly distinguish between content that reports on a topic and content from someone who has DONE it. |
| 26 | |
| 27 | **Signals to evaluate:** |
| 28 | |
| 29 | | Signal | Points | How to Score | |
| 30 | |---|---|---| |
| 31 | | First-person accounts ("I tested...", "We implemented...") | 5 | 5 if present and specific, 3 if generic, 0 if absent | |
| 32 | | Original research or data not available elsewhere | 5 | 5 if original data, 3 if references original work, 0 if none | |
| 33 | | Case studies with specific results | 4 | 4 if detailed with numbers, 2 if general, 0 if none | |
| 34 | | Screenshots, photos, or evidence of direct use | 3 | 3 if authentic evidence, 1 if stock/generic, 0 if none | |
| 35 | | Specific examples from personal experience | 4 | 4 if specific and unique, 2 if somewhat specific, 0 if generic | |
| 36 | | Demonstrations of process (not just outcome) | 4 | 4 if step-by-step from experience, 2 if partial, 0 if none | |
| 37 | |
| 38 | **What to flag as weak Experience:** |
| 39 | - Content that only summarizes what other sources say without adding new perspective |
| 40 | - Generic advice that could apply to any situation ("It depends on your needs") |
| 41 | - No mention of actual usage, testing, or direct involvement |
| 42 | - Hedging language that suggests lack of direct knowledge ("reportedly", "supposedly", "some say") |
| 43 | |
| 44 | ### Expertise — 25 points |
| 45 | Demonstrated knowledge depth and professional competence in the subject matter. |
| 46 | |
| 47 | **Signals to evaluate:** |
| 48 | |
| 49 | | Signal | Points | How to Score | |
| 50 | |---|---|---| |
| 51 | | Author credentials visible (bio, degrees, certifications) | 5 | 5 if full credentials, 3 if basic bio, 0 if no author | |
| 52 | | Technical depth appropriate to topic | 5 | 5 if thorough technical treatment, 3 if adequate, 0 if superficial | |
| 53 | | Methodology explanation (how conclusions were reached) | 4 | 4 if clear methodology, 2 if some explanation, 0 if none | |
| 54 | | Data-backed claims (statistics, research citations) | 4 | 4 if well-sourced, 2 if some data, 0 if unsupported claims | |
| 55 | | Industry-specific terminology used correctly | 3 | 3 if accurate specialized language, 1 if basic, 0 if errors | |
| 56 | | Author page with detailed professional background | 4 | 4 if dedicated author page, 2 if brief bio, 0 if none | |
| 57 | |
| 58 | **What to flag as weak Expertise:** |
| 59 | - Claims without supporting evidence or sources |
| 60 | - Surface-level coverage of complex topics |
| 61 | - Misuse of technical terminology |
| 62 | - No visible author or author without relevant credentials |
| 63 | - Content that is broad and generic rather than deep and specific |
| 64 | |
| 65 | ### Authoritativeness — 25 points |
| 66 | Recognition by others as a credible source on the topic. |
| 67 | |
| 68 | **Signals to evaluate:** |
| 69 | |
| 70 | | Signal | Points | How to Score | |
| 71 | |---|---|---| |
| 72 | | Inbound citations from authoritative sources | 5 | 5 if cited by major sources, 3 if some citations, 0 if none | |
| 73 | | Author quoted or cited in press/media | 4 | 4 if media mentions, 2 if industry mentions, 0 if none | |
| 74 | | Industry awards or recognition mentioned | 3 | 3 if relevant awards, 1 if tangential, 0 if none | |
| 75 | | Speaker credentials (conferences, events) | 3 | 3 if listed, 0 if none | |
| 76 | | Published in peer-reviewed or respected outlets | 4 | 4 if tier-1 publications, 2 if industry outlets, 0 if none | |
| 77 | | Comprehensive topic coverage (topical authority) | 3 | 3 if site covers topic thoroughly, 1 if some coverage, 0 if isolated | |
| 78 | | Brand mentioned on Wikipedia or authoritative references | 3 | 3 if Wikipedia, 2 if other encyclopedic refs, 0 if none | |
| 79 | |
| 80 | **What to flag as weak Authoritativeness:** |
| 81 | - |