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GEO Competitor Scanner

Analyze competitor GEO (Generative Engine Optimization) strategies by examining their content structure, Schema markup, llms.txt, and AI citation signals. Be...
通过分析竞争对手的内容结构、Schema标记、llms.txt及AI引用信号,深入剖析其GEO(生成式引擎优化)策略。
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概述

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

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-30 01:13 安全 安全

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