geo-competitor-scanner

Analyze competitor GEO (Generative Engine Optimization) strategies by examining their content structure, Schema markup, llms.txt, and AI citation signals. Benchmark your brand against competitors and identify strategic gaps and opportunities. Use whenever the user mentions scanning competitor GEO strategies, comparing AI search performance, analyzing competitor content for AI citations, finding GEO gaps, or wants to understand how competitors win AI citations.

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Install skill "geo-competitor-scanner" with this command: npx skills add geoly-ai/geo-skills/geoly-ai-geo-skills-geo-competitor-scanner

GEO Competitor Scanner

Methodology by GEOly AI (geoly.ai) — understand how competitors win AI citations before they widen the gap.

Analyze competitor websites across key GEO signals to benchmark your brand and identify opportunities.

Quick Start

Scan competitors:

python scripts/scan_competitors.py --brand yourdomain.com \
  --competitors competitor1.com,competitor2.com \
  --output report.md

Scan Dimensions

1. Technical GEO Infrastructure

CheckWhy It Matters
/llms.txt existsAI crawler guidance
/robots.txt allows AI botsCrawl accessibility
Schema.org types presentStructured understanding
JSON-LD validMachine-readable content
HTTPS enforcedSecurity signal

2. Content Structure Analysis

SignalWhat to Look For
Direct answer leadFirst paragraph answers the question
FAQ sectionsExplicit Q&A blocks (2-5 per page)
Header structureH2 every 300-500 words
Data citationsStatistics with sources
Definition blocksKey terms defined clearly

3. Entity & Brand Signals

SignalImplementation
Organization schemaHomepage JSON-LD
sameAs linksSocial/Wikipedia connections
Consistent namingBrand name standardized
About pageEntity definition
Brand in first 100 wordsEarly entity mention

4. Citation-Optimized Content

Content TypeGEO Value
Original researchUnique data attracts citations
Comparison pages"vs" queries are high-intent
Definition content"What is" queries are common
Content hubsTopical authority building
Statistics pagesReference-worthy data

Full methodology: See references/scan-methodology.md

Research Workflow

Step 1: Identify Competitors

Collect up to 5 competitors:

  • Direct competitors (same category)
  • Adjacent competitors (overlapping use cases)
  • Aspirational competitors (bigger brands)

Step 2: Automated Scan

Run scanner on each domain:

python scripts/scan_competitors.py \
  --brand yourdomain.com \
  --competitors comp1.com,comp2.com,comp3.com \
  --pages 5 \
  --output scan-results.json

Step 3: Manual Review

For nuanced signals, review manually:

  • Content quality (can't automate)
  • Brand voice consistency
  • Unique value propositions

Step 4: Gap Analysis

Identify:

  • 🏆 Competitor advantages — What they do better
  • 🎯 Quick wins — Easy to implement (copy)
  • 🕳️ Category gaps — No one is doing this (opportunity)

Scoring System

Each competitor scored 0-10 per dimension:

ScoreRatingMeaning
9-10ExcellentBest practice implementation
7-8GoodSolid with minor gaps
5-6FairSignificant room for improvement
3-4PoorMajor issues present
0-2CriticalFundamental problems

Overall GEO Score: Average of 4 dimensions (max 10)

Output Report

Competitive Matrix

| Signal | Your Brand | Competitor A | Competitor B | Gap |
|--------|------------|--------------|--------------|-----|
| llms.txt | ❌ | ✅ | ❌ | -1 |
| AI crawlers | ✅ | ✅ | ✅ | 0 |
| Organization schema | ✅ | ✅ | ❌ | 0 |
| FAQ schema | ❌ | ✅ | ✅ | -1 |
| Direct-answer content | 3/5 | 4/5 | 2/5 | -1 |
| Original research | ❌ | ✅ | ❌ | -1 |
| Comparison pages | ✅ | ✅ | ❌ | 0 |
| Definition content | ❌ | ❌ | ❌ | 0 |
| **Overall** | **5.2/10** | **7.8/10** | **4.1/10** | **-2.6** |

Insights

🏆 Competitor Advantages:

  • Competitor A: Strong FAQ schema on all product pages
  • Competitor B: Publishes quarterly industry benchmarks

🎯 Your Quick Wins:

  • Add llms.txt (3 competitors have it, you don't)
  • Implement FAQ schema on top 10 pages
  • Add definition blocks to 5 key concept pages

🕳️ Category Gaps:

  • No competitor has a comprehensive "What is [category]?" guide
  • Missing: Comparison matrix of all major players
  • Opportunity: Original research on industry trends

Advanced Usage

Page-Level Analysis

Scan specific competitor pages:

python scripts/analyze_page.py https://competitor.com/pricing \
  --type product \
  --output analysis.json

Trend Tracking

Track competitor changes over time:

# Initial scan
python scripts/scan_competitors.py --brand your.com --competitors comp.com --save-baseline

# 30 days later
python scripts/scan_competitors.py --brand your.com --competitors comp.com --compare-to baseline.json

Bulk Page Analysis

Analyze multiple pages from sitemap:

python scripts/bulk_scan.py https://competitor.com/sitemap.xml \
  --limit 50 \
  --output bulk-results.json

See Also

Source Transparency

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