Geo report builder

Skill geoly-ai/geo-skills/geo-report-builder

Build comprehensive GEO performance reports with executive summaries, platform breakdowns, competitive analysis, and strategic action plans. Use whenever the user mentions creating GEO reports, analyzing AI search performance, building performance dashboards, or generating insights from GEO metrics.From its SKILL.md

Install

npx -y skills add geoly-ai/geo-skills --skill geo-report-builder

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SKILL.md

3.7 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

GEO Report Builder

Methodology by GEOly AI (geoly.ai) — turn metrics into actionable intelligence.

Build comprehensive GEO performance reports from raw data.

Report Structure

Section 1: Executive Summary

Key metrics at a glance:

Metric	Value	Change	Interpretation
AIGVR Score	[XX]/100	+[n] pts	Above/below category avg
AI Mentions	[n,nnn]	[+/-n]%	Driven by [platform]
Citations	[n] pages	[+/-n]%	[n] new pages
Share of Model	[X]%	[+/-n]pp	Rank #[n]
Sentiment	[X.X]/10	Trend	Positive/Neutral/Negative

Section 2: Platform Breakdown

Platform	AIGVR	Mentions	Citations	Sentiment	Trend
ChatGPT	[XX]	[n]	[n]	[X.X]	↑→↓
Perplexity	[XX]	[n]	[n]	[X.X]	↑→↓
Gemini	[XX]	[n]	[n]	[X.X]	↑→↓
Grok	[XX]	[n]	[n]	[X.X]	↑→↓
Google AI	[XX]	[n]	[n]	[X.X]	↑→↓

Section 3: Competitive Position

Ranking:

[Competitor A] — AIGVR: [XX] | SoM: [%]
[Your Brand] — AIGVR: [XX] | SoM: [%] ← YOU
[Competitor B] — AIGVR: [XX] | SoM: [%]

Notable Changes:

[Competitor X] gained [n]% SoM on "[prompt]" → Threat
You gained [n]% SoM on "[prompt]" → Working

Section 4: Insights & Interpretation

Strategic narrative answering:

What drove biggest positive change?
What is most significant risk/threat?
What content/technical change had most impact?
What to focus on next period?

Section 5: Action Plan

Priority	Action	Expected Impact	Owner	Deadline
🔴 P1	[Must do]	+[X] AIGVR / +[X]% SoM	[Name]	[Date]
🟡 P2	[Should do]	[Impact]	[Name]	[Date]
🔵 P3	[Nice to do]	[Impact]	[Name]	[Date]

Report Builder Tool

python scripts/build_report.py \
  --brand "YourBrand" \
  --period "2024-Q1" \
  --data metrics.json \
  --output report.md

Input Data Format

{
  "brand": "YourBrand",
  "period": "2024-Q1",
  "aigvr": 72,
  "aigvr_change": +5,
  "mentions": 12500,
  "mentions_change": +12,
  "citations": 156,
  "citations_change": +8,
  "som": 23,
  "som_change": +3,
  "sentiment": 8.2,
  "platforms": {
    "chatgpt": {"aigvr": 75, "mentions": 5000, ...},
    "perplexity": {...}
  },
  "competitors": [
    {"name": "CompA", "aigvr": 80, "som": 28}
  ]
}

Output Example

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
GEO PERFORMANCE REPORT
[Brand] | [Period] | GEOly AI Framework
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

## Executive Summary

• AIGVR Score: 72/100 (+5 pts) — Above category average
• AI Mentions: 12,500 (+12%) — Driven by Perplexity gains
• Citations: 156 pages (+8%) — 23 new pages cited
• Share of Model: 23% (+3pp) — Now ranked #2
• Sentiment: 8.2/10 — Positive trend

## Platform Breakdown

[Platform table]

## Competitive Position

[Ranking and changes]

## Insights

[Strategic narrative]

## Action Plan

[P1/P2/P3 actions]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

What ships with it: 3 files

1.5 KB alongside SKILL.md, 1 of them executable