Individual skill
create-geo-charts
Creates data visualizations (charts, graphs, tables) optimized for AI engine parsing and citation. Produces inline SVG/HTML with text summaries, data tables, and JSON-LD so AI engines can quote the data.
create-geo-charts/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Oct 11, 2026
- License
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- aeo Repository topic
- ai-optimization Repository topic
- claude-code Repository topic
- geo Repository topic
- llms-txt Repository topic
- seo Repository topic
- structured-data Repository topic
- data Derived category
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Browse files
README.mddoc · 2,218 bytesSKILL.mdcore · 17,409 bytesSKILL.mdcore · 17,409 bytesSKILL.mdcore · 17,409 bytesexamples/ai-referral-traffic-share-v2.htmlasset · 7,167 bytesexamples/ai-referral-traffic-share.csvasset · 268 bytesexamples/ai-referral-traffic-share.htmlasset · 8,692 bytesexamples/ai-toy-brand-comparison.htmlasset · 10,833 bytesexamples/ai-toy-market-growth.htmlasset · 7,347 bytesexamples/ai-toy-parent-concerns.htmlasset · 7,055 bytesexamples/content-freshness-citations-preview.pngasset · 389,511 bytesexamples/content-freshness-citations-v2.htmlasset · 7,522 bytesexamples/content-freshness-citations.csvasset · 151 bytesexamples/content-freshness-citations.htmlasset · 10,047 bytesexamples/geo-strategy-impact-v2.htmlasset · 8,268 bytesexamples/geo-strategy-impact.csvasset · 291 bytesexamples/geo-strategy-impact.htmlasset · 10,455 bytesexamples/scooter-brand-market-share.htmlasset · 7,542 bytesexamples/scooter-market-growth.htmlasset · 8,801 bytesexamples/scooter-specs-comparison.htmlasset · 10,846 bytes
Read excerpt
# Create GEO/SEO Charts & Data Visualizations
You are an expert at creating data visualizations optimized for Generative Engine Optimization (GEO) and SEO. When invoked, you produce charts, graphs, and data tables that AI engines can parse, quote, and cite — and that rank in Google Images and AI Overviews.
Core insight: AI engines cite text, not pixels. Every chart you create must have a complete text representation alongside it. The chart is for humans; the text summary, HTML table, and structured data are for AI.
## Workflow
### Step 1: Understand the Data
Ask the user for:
1. **Data source** — raw data, research findings, or a synthesis request
2. **Chart purpose** — what point should the chart make?
3. **Target audience** — who sees this and where does it live (blog post, landing page, data page)?