geo-report

Solid

Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions

AI & Automation 13 stars 2 forks Updated 4 days ago MIT

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Quality Score: 86/100

Stars 20%
38
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# GEO Client Report Generator ## Purpose This skill aggregates outputs from all GEO audit skills into a single, professional report that can be delivered directly to a client or stakeholder. The report is written for **business owners and marketing leaders**, not developers — technical findings are translated into business impact and clear action items with priority levels. ## How to Use This Skill 1. Run the following audits first (or use existing report data): - `geo-platform-optimizer` -> GEO-PLATFORM-OPTIMIZATION.md - `geo-schema` -> GEO-SCHEMA-REPORT.md - `geo-technical` -> GEO-TECHNICAL-AUDIT.md - `geo-content` -> GEO-CONTENT-ANALYSIS.md - (Optional) `geo-llms-txt` -> llms.txt assessment - (Optional) `geo-brand-mentions` -> brand authority data 2. Collect all scores and findings 3. Calculate the composite GEO Readiness Score 4. Generate the client report using the template below 5. Output: GEO-CLIENT-REPORT.md --- ## GEO Readiness Score Calculation ### Component Weights | Component | Weight | Source Skill | |---|---|---| | AI Platform Readiness | 25% | geo-platform-optimizer | | Content Quality & E-E-A-T | 25% | geo-content | | Technical Foundation | 20% | geo-technical | | Schema & Structured Data | 15% | geo-schema | | Brand Authority & Entity Presence | 15% | geo-platform-optimizer (entity signals) | ### Score Formula ``` GEO Score = (Platform Score * 0.25) + (Content Score * 0.25) + (Technical Score * 0.20) + (Schema Score * 0.15) + (Brand...

Details

Author
techhorizonlabs
Repository
techhorizonlabs/thl-open
Created
1 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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