Step-by-step skill execution referencing cognitive phases:
0 SETUP — Download Resources
Clone or download scripts from `https://github.com/THIAGONOMA/geo-seo-skills`
Place them in `skillschain/resources/geo-seo/`
Install Python dependencies: `pip install -r skillschain/resources/geo-seo/requirements.txt`
Verify scripts are available: `ls skillschain/resources/geo-seo/scripts/`
- Fetch homepage HTML via or WebFetch Extract key pages from sitemap.xml or internal links (max 50 pages)
Read and parse robots.txt for AI crawler directives
Detect business type by analyzing homepage patterns
2 CONTEXTUALIZE — Parallel Analysis
Run resource scripts for data collection:
`python skillschain/resources/geo-seo/scripts/fetch_page.py <url> full`
`python skillschain/resources/geo-seo/scripts/citability_scorer.py <url>`
`python skillschain/resources/geo-seo/scripts/brand_scanner.py "<brand>" <domain>`
`python skillschain/resources/geo-seo/scripts/llmstxt_generator.py <url> validate`
Analyze outputs across 5 tracks: AI Visibility, Platform, Technical, Content, Schema
3 HYPOTHESIZE — Score each content block
Use `citability_scorer.py` output to evaluate passages (134-167 word optimal blocks)
Use `fetch_page.py robots` output to check 14+ AI crawlers
Use `brand_scanner.py` output to map brand presence across 10+ platforms
4 EVALUATE — Composite scoring
Calculate weighted GEO Score (0-100)
Classify all findings by severity and impact
Prioritize by effort-to-impact ratio
5 RECOMMEND — Generate deliverables
Produce structured GEO audit report
Generate missing JSON-LD schemas
Create or improve llms.txt
Build prioritized action plan
Write `GEO-AUDIT-REPORT.md`
Write `llms.txt` if needed
Write JSON-LD snippets for implementation
Optionally generate PDF report with charts
7 REFLECT — Validation and telemetry
Validate generated assets
- Report execution telemetry via Suggest monitoring cadence
SynapticSkills