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

| Check | Why It Matters | |-------|----------------| | /llms.txt exists | AI crawler guidance | | /robots.txt allows AI bots | Crawl accessibility | | Schema.org types present | Structured understanding | | JSON-LD valid | Machine-readable content | | HTTPS enforced | Security signal |

2. Content Structure Analysis

| Signal | What to Look For | |--------|------------------| | Direct answer lead | First paragraph answers the question | | FAQ sections | Explicit Q&A blocks (2-5 per page) | | Header structure | H2 every 300-500 words | | Data citations | Statistics with sources | | Definition blocks | Key terms defined clearly |

3. Entity & Brand Signals

| Signal | Implementation | |--------|----------------| | Organization schema | Homepage JSON-LD | | sameAs links | Social/Wikipedia connections | | Consistent naming | Brand name standardized | | About page | Entity definition | | Brand in first 100 words | Early entity mention |

4. Citation-Optimized Content

| Content Type | GEO Value | |--------------|-----------| | Original research | Unique data attracts citations | | Comparison pages | "vs" queries are high-intent | | Definition content | "What is" queries are common | | Content hubs | Topical authority building | | Statistics pages | Reference-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:

| Score | Rating | Meaning | |-------|--------|---------| | 9-10 | Excellent | Best practice implementation | | 7-8 | Good | Solid with minor gaps | | 5-6 | Fair | Significant room for improvement | | 3-4 | Poor | Major issues present | | 0-2 | Critical | Fundamental 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

• Scan methodology: references/scan-methodology.md
• Scoring rubric: references/scoring-rubric.md
• Analysis examples: references/examples.md