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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.
Passed 15 of 22 test cases with the skill, and 8 of 22 without it.
and 10 more in the full report
8 fixed7 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write the citable key finding summary paragraph to go directly above our visual on remote work productivity gains (Source: Workplace Institute 2024, N=2,500 employees). Make sure it meets strict GEO passage retrieval standards.
| Checked | Without skill | With skill |
|---|---|---|
| The summary paragraph is 60 words or fewer. | Missed | Passed |
| The summary paragraph contains at least one numerical value. | Passed | Passed |
The instructions your model reads when the skill loads.
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.
Ask the user for:
If the user provides raw data, use it directly. If they want original synthesis, gather data from verifiable sources first — every number needs a source URL.
Match chart type to data and GEO intent:
| Data Pattern | Chart Type | GEO Value |
|---|---|---|
| X vs Y vs Z performance | Comparison bar chart | Very High — answers "which is better" queries |
| Rankings or scores | Horizontal bar chart | Very High — AI extracts ranked lists |
| Changes over time | Line chart | High — answers "how has X changed" queries |
| Part-of-whole | Donut/pie chart (max 5 segments) | Medium — keep segments few and labeled |
| Multi-criteria evaluation | Radar/spider chart | Medium — pair with a comparison table |
| Process or decision | Flowchart / decision tree | High — answers "how does X work" queries |
| Feature comparison | Matrix/checklist table | Very High — direct extraction by AI |
Prefer comparison charts, benchmark tables, and step-by-step flow diagrams — these are the most-cited visual formats by AI engines.
Generate the visualization using one of these approaches:
test cases passed, vs 8 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.