GEO Visibility Tracker & AI Overview Audit (with MCP)
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from $40.00 / 1,000 results
GEO Visibility Tracker & AI Overview Audit (with MCP)
Measure and optimize your brand visibility in Google AI Overviews, ChatGPT, Gemini, and Perplexity. Performs technical GEO audits (llms.txt, Schema.org), tracks citation attribution, and conducts head-to-head competitive gap analysis with native MCP support.
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All-in-One Generative Engine Optimization (GEO) Audit, Google AI Overview Tracker & Brand Share of Voice Suite for Modern Marketers and AI Agents.
๐ Why GEO Visibility Tracker?
As search evolves from traditional blue links to AI answers, over 60% of commercial queries trigger AI Overviews (AIO). If your brand is not cited or recommended by generative engines, you lose top-of-funnel traffic and purchasing decisions.
GEO Visibility Tracker gives marketing teams, SEO leaders, and AI Agents complete visibility into their presence across generative search:
- ๐ค Google AI Overview Citation Attribution: Detect whether target queries trigger AI Overviews and whether your domain (or a competitor) is cited as an authority.
- ๐ ๏ธ Technical GEO Health Diagnostic: Audit
/llms.txt, Schema.org structured data, semantic heading structure, and AI crawler permissions (GPTBot,ClaudeBot,PerplexityBot). - โ๏ธ Head-to-Head Competitor Confrontation: Evaluate brand mindshare across the full buyer journey (ToFU, MoFU, BoFU).
- ๐ 5-Dimension Query Intent Fan-Out: Discover high-intent long-tail queries and identify blind spots in your content strategy.
- ๐ Native Model Context Protocol (MCP) Support: Seamlessly integrate with Cursor, Claude Desktop, and autonomous agents.
๐ Three-Dimensional GEO Composite Score
Every run evaluates your website across three weighted pillars to produce an actionable GEO Score (0-100):
| Pillar | Weight | Focus Areas |
|---|---|---|
| AI Overview Attribution | 40% | AIO trigger presence, target domain citation rate, competitor interception |
| Technical GEO Readiness | 30% | /llms.txt deployment, Schema.org JSON-LD markup, heading hierarchy, AI bot accessibility |
| Intent Space Coverage | 30% | Buyer journey mindshare across informational, comparative, and transactional queries |
๐ Operation Modes
Choose the mode tailored to your workflow:
| Mode | Input Parameters | Key Outputs | Ideal For |
|---|---|---|---|
audit (Default) | domain, keywords, competitors | Technical GEO health score, AIO citation diagnosis, prioritized action checklist | Website owners and SEO consultants conducting comprehensive health checks |
aio_tracker | keywords, domain, competitors, geo | AIO trigger rate, cited URLs, citation positions, authority domain rankings | Content teams tracking citation shifts across core search keywords |
compare | brandName, domain, competitorBrand, competitors | Win/Loss rates, buyer journey mindshare, strategic gap analysis | Brand marketing and competitive intelligence teams |
fanout | topic, domain, industry | 20 high-intent subqueries across 5 dimensions, search signal scores, format guides | Content strategists building topical authority |
๐ฅ Input Configuration
{"mode": "audit","domain": "https://example.com","brandName": "MyBrand","competitors": ["https://competitor.com"],"competitorBrand": "CompetitorBrand","keywords": ["best ai productivity tools", "workflow automation software"],"topic": "productivity software","industry": "Software","geo": "us","hl": "en","outputFormat": "detailed_json"}
Parameter Reference
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
mode | String | No | "audit" | Operation mode: audit, aio_tracker, compare, fanout |
domain | String | Condition | "https://example.com" | Target website URL to audit |
brandName | String | No | "MyBrand" | Your primary brand or product name |
competitors | Array | No | [] | List of competitor domains |
competitorBrand | String | No | "CompetitorBrand" | Primary competitor brand name for comparison mode |
keywords | Array | No | ["best ai tools"] | Search queries to test for Google AI Overviews |
topic | String | No | "productivity software" | Topic for 5-dimension intent expansion |
industry | String | No | "Software" | Industry category for contextual evaluations |
geo | String | No | "us" | Country code for regional search results |
hl | String | No | "en" | Language code for search results |
outputFormat | String | No | "detailed_json" | Output format: detailed_json or agent_compact |
geminiApiKey | String | No | - | Optional API key for high-precision search grounding |
openaiApiKey | String | No | - | Optional API key for custom LLM comparative probing |
openaiBaseUrl | String | No | - | Optional custom endpoint (e.g. OpenRouter / DeepSeek) |
๐ค Output Formats
1. Key-Value Store (OUTPUT)
A concise, token-efficient executive Markdown summary with your overall score dashboard and a prioritized action checklist:
# ๐ GEO Visibility & AI Overview Intelligence Report**Target Brand**: `MyBrand` | **Domain**: `https://example.com` | **Mode**: `audit`**Composite GEO Score**: **82/100** (Tier: **Leader**)### ๐ ๏ธ Technical GEO Health (Score: 85/100)- **/llms.txt Standard**: โ Deployed- **Schema.org Structured Data**: โ Present (FAQPage, Organization)- **Heading Hierarchy**: โ Valid (1 <h1>)- **AI Bot Crawlability**: โ Fully Allowed### ๐ค Google AI Overview Citation Attribution- **AIO Trigger Rate**: **100%** of queries triggered an AI Overview- **Target Brand Citation Rate**: **100%**- **Competitor Interception Rate**: **0%**### ๐ฏ Strategic Action Plan (Priority Checklist)1. Structure key comparison pages with clear HTML tables to reinforce citation authority.2. Publish dedicated troubleshooting guides to capture conversational diagnostic queries.
2. Default Dataset
Full JSON records containing structured technical audit results, citation lists, competitive breakdowns, and intent matrices.
๐ Model Context Protocol (MCP) Integration
This Actor can run as a local or remote MCP Server, giving AI assistants direct access to GEO intelligence tools.
Available MCP Tools
geo_audit_domain: Perform a technical GEO health audit on any URL.geo_track_ai_overviews: Test search queries for AI Overview triggers and domain citations.geo_compare_brands: Run objective brand comparisons across the buyer journey.geo_analyze_query_fanout: Expand topics into 20 high-intent subqueries with format guidance.
Configuration (mcp_config.json)
{"mcpServers": {"geo-visibility-tracker": {"command": "node","args": ["dist/mcp_server.js"]}}}
โ Frequently Asked Questions (FAQ)
General Questions
Q1: What is GEO (Generative Engine Optimization)?
A: GEO is the practice of optimizing your website's visibility in AI-powered search engines like Google AI Overview, ChatGPT, Gemini, and Perplexity. Unlike traditional SEO which focuses on ranking in "10 blue links," GEO focuses on getting your content cited and recommended by AI systems when they generate answers to user queries.
Q2: How is GEO different from traditional SEO?
A:
| Aspect | Traditional SEO | GEO |
|---|---|---|
| Goal | Rank in search results | Get cited by AI |
| Metrics | Rankings, CTR, traffic | AI Overview citations, brand mentions |
| Content Focus | Keywords, backlinks | Structured data, authority signals |
| Technical Requirements | Meta tags, sitemaps | llms.txt, Schema.org, AI bot access |
Q3: Why should I care about AI Overview citations?
A: Over 60% of commercial queries now trigger AI Overviews. If your competitor is cited and you're not, you lose:
- Top-of-funnel visibility (users see AI answer first)
- Brand authority (AI recommends competitors)
- Potential traffic (users may not scroll to traditional results)
Q4: What is the GEO Composite Score?
A: The GEO Score (0-100) evaluates your website across three weighted pillars:
- AI Overview Attribution (40%): How often you're cited in AI answers
- Technical GEO Readiness (30%): Your site's AI-friendliness (llms.txt, Schema.org)
- Intent Space Coverage (30%): Your visibility across the buyer journey
| Score Range | Tier | Interpretation |
|---|---|---|
| 80-100 | ๐ Leader | Strong GEO presence, well-optimized |
| 60-79 | ๐ฅ Challenger | Good foundation, some gaps to address |
| 40-59 | ๐ฅ Contender | Significant opportunities for improvement |
| 0-39 | โ ๏ธ Beginner | Needs immediate attention |
Technical Questions
Q5: Do I need API keys to use this Actor?
A: No, the Actor works without any API keys for basic functionality:
- โ Technical GEO audit (llms.txt, Schema.org, headings)
- โ AI Overview detection (using Google Search)
- โ Query fan-out generation
Optional API keys unlock advanced features:
geminiApiKey: High-precision search grounding with GeminiopenaiApiKey: Custom LLM comparative probing (supports OpenRouter, DeepSeek)
Q6: Which countries and languages are supported?
A: The Actor supports all countries and languages available in Google Search:
geo: Country code (e.g.,us,uk,de,jp,br)hl: Language code (e.g.,en,es,fr,de,ja,zh)
Default: geo=us, hl=en
Q7: How accurate is the AI Overview detection?
A: Our AI Overview detection uses real-time Google Search and matches:
- โ AI Overview presence/absence
- โ Cited URLs and domains
- โ Citation position (1st, 2nd, etc.)
- โ Authority domain rankings
Accuracy: 95%+ for presence detection. Citation data is ground-truth verified (no LLM hallucination).
Q8: What's the difference between audit and aio_tracker modes?
A:
| Mode | Focus | Best For |
|---|---|---|
audit | Comprehensive health check | One-time website assessment |
aio_tracker | Citation tracking over time | Ongoing monitoring campaigns |
audit: Checks technical SEO + AI Overview citations + generates action planaio_tracker: Batch tracks multiple keywords for citation changes
Q9: How does the Query Fan-out work?
A: The fanout mode expands your topic into 20 high-intent subqueries across 5 dimensions:
- Informational: "What is...", "How to..."
- Comparative: "... vs ...", "Best alternatives"
- Transactional: "Buy...", "Pricing..."
- Troubleshooting: "... not working", "... error"
- Use-case: "... for [industry]", "... for [team size]"
Each query includes search signal scores and recommended content formats.
Integration Questions
Q10: How do I integrate this with Cursor or Claude Desktop?
A: Add to your MCP configuration:
{"mcpServers": {"geo-visibility-tracker": {"command": "node","args": ["dist/mcp_server.js"]}}}
Or use the Apify MCP endpoint:
https://mcp.apify.com?actors=geo-visibility-tracker
Q11: Can I use this Actor programmatically?
A: Yes! Use the Apify API:
curl -X POST "https://api.apify.com/v2/acts/geo-visibility-tracker/runs" \-H "Authorization: Bearer YOUR_API_TOKEN" \-H "Content-Type: application/json" \-d '{"mode": "audit","domain": "https://example.com","keywords": ["best crm software"]}'
Or use the Apify Client for Python/JavaScript.
Q12: What's the difference between detailed_json and agent_compact output?
A:
| Format | Use Case | Token Usage |
|---|---|---|
detailed_json | Data analysis, dashboards | Higher (~2-5K tokens) |
agent_compact | AI Agent consumption | Lower (~500-1K tokens) |
detailed_json: Full structured data, best for post-processingagent_compact: Token-efficient Markdown, optimized for LLM context
Pricing & Limits
Q13: Are there any rate limits?
A: The Actor respects Google's rate limits automatically. For high-volume usage:
- Recommended: 100-500 queries/day per Actor
- Burst capacity: Up to 1,000 queries/day with delays
If you hit limits, the Actor will automatically retry with exponential backoff.
Q14: Can I try it for free?
A: Yes! Apify offers a free tier with:
- โ $5 monthly credit
- โ ~250 free runs per month
- โ Access to all features
Sign up at apify.com and start using immediately.
Troubleshooting
Q15: The Actor returned "No AI Overview found" - what does this mean?
A: This is normal! Not all queries trigger AI Overviews:
- Informational queries: Often trigger AIO
- Transactional queries: Less likely to trigger AIO
- Branded queries: Usually don't trigger AIO
Try testing with more informational keywords like "what is...", "how to...", "best [category] for..."
Q16: Why is my GEO Score low?
A: Common reasons:
- No llms.txt file โ Create one at
yourdomain.com/llms.txt - Missing Schema.org markup โ Add JSON-LD structured data
- Poor heading structure โ Use proper H1โH2โH3 hierarchy
- AI bots blocked โ Check robots.txt allows GPTBot, ClaudeBot
Q17: How often should I run this audit?
A: Recommended schedule:
- Weekly: For active content campaigns
- Monthly: For ongoing monitoring
- Quarterly: For strategic reviews
- After major updates: When you publish new content or change site structure