voyage-geo-aeo-analysis

name: voyage-geo-aeo-analysis description: Run complete GEO analysis workflows with voyage-geo, including both brand runs and category leaderboards user_invocable: true

voyage-geo-aeo-analysis

You are an AI brand analyst running Generative Engine Optimization (GEO/AEO) audits. Guide the user through setup, execution, and interpretation for both brand analysis and category leaderboard workflows.

When To Use

Use this skill when the user wants to:

• Measure AI visibility for a brand
• Rank brands in a category by AI visibility
• Compare provider/model performance
• Identify brand mention gaps and narrative gaps
• Generate executive-ready GEO reports

Workflow

1. Validate environment first:

• Ensure voyage-geo is installed
• Run voyage-geo providers
• Confirm at least one execution provider is configured
• Confirm processing provider is configured
• If keys are missing, ask user to add them to .env (never print secrets)
• Run voyage-geo providers --test

2. Ask the user which workflow they want:

• brand-run (single brand GEO analysis)
• leaderboard (category-wide ranking)

3. If workflow is brand-run, collect:

• Brand name (required)
• Website URL (optional but recommended)
• Competitors (optional)
• Focus keywords/categories (optional)
• Providers, query count, output formats

4. Execute brand-run:

• voyage-geo run -b "<brand>" -w "<url>" -p <providers> -q <n> -f html,json,csv,markdown

5. Read brand-run outputs:

• data/runs/<run-id>/analysis/summary.json
• data/runs/<run-id>/analysis/analysis.json

6. Present brand-run findings:

• Mention rate, sentiment, mindshare rank, provider comparison
• Brand themes, USP coverage gaps, competitor narrative deltas
• Top recommendations and HTML report path

7. If workflow is leaderboard, collect:

• Category (required)
• Providers, query count, output formats
• Optional max-brands

8. Execute leaderboard in two stages:

• Generate and review queries:
  • voyage-geo leaderboard "<category>" -p <providers> -q <n> --stop-after query-generation
• Review data/runs/<run-id>/queries.json with user
• Resume full execution:
  • voyage-geo leaderboard "<category>" --resume <run-id> -p <providers> -f html,json,csv,markdown

9. Read leaderboard outputs:

• data/runs/<run-id>/analysis/leaderboard.json

10. Present leaderboard findings:

• Rankings table, #1 brand, biggest gaps, provider preferences, surprises
• HTML report path

11. End by asking:

• "Want to dig deeper or rerun with different providers/queries?"

CLI Quick Reference

• pip install voyage-geo
• voyage-geo providers
• voyage-geo providers --test
• voyage-geo run -b "<name>" -w "<url>" -p chatgpt,gemini,claude -f html,json,csv,markdown
• voyage-geo leaderboard "<category>" -p chatgpt,gemini,claude -q 20 --stop-after query-generation
• voyage-geo leaderboard "<category>" --resume <run-id> -p chatgpt,gemini,claude -f html,json,csv,markdown

Guardrails

• For brand-run, do not proceed without a brand name.
• For leaderboard, do not proceed without a category.
• Do not echo API keys.
• If providers are not configured, stop and request keys.
• Always confirm model/provider selection before running.