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AIScan Competitor AI Visibility Comparison
x402
AIScan Competitor AI Visibility Comparison is a paid API for AI agents from api.getaiscan.app, paid per call via x402, $0.8/call, status unknown (last checked 2026-09-14).
Compares two websites head-to-head on AI visibility scores including AEO, GEO, Agent Readiness, and MCP Readiness
Price / call$0.8
Success—
StatusUnknown
How this service works
AIScan audits any website for AI visibility in 60 seconds. 4 scores: AEO, GEO, Agent Readiness, MCP Readiness. Plus Brand Visibility: how often AI actually names your brand. The only scanner with MCP Readiness.
Output
Returns a capability identifier confirming the comparison was executed, along with the analyzed site URL and payment settlement info. The comparison covers AI visibility scoring across AEO, GEO, Agent Readiness, and MCP Readiness dimensions for both websites.
Example use cases
Example prompt
“Compare my site https://mycompany.com against my competitor https://rivalcompany.com on AI visibility — I want to see which one scores better on AEO, GEO, Agent Readiness, and MCP Readiness.”
Technical details
Endpoint
POSThttps://api.getaiscan.app/api/agent/compareWhen to prefer
Use this endpoint when you need a direct head-to-head AI visibility comparison between two specific websites, particularly when MCP Readiness scoring is important. Prefer this over single-site audit endpoints when competitive benchmarking is the goal.
Side effects
- Invalid or unreachable URL returns an error
- Missing required 'url' or 'competitor' field causes validation failure
- Payment of 0.8 USDC not settled via x402 results in 402 Payment Required
- Competitor site blocks crawling or is behind authentication
- Timeout if either website is very slow to load
Input
{
"url": "https://www.example.com",
"competitor": "https://www.example.org"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Full URL of the website to analyze, e.g. https://example.com |
| competitorrequired | string | Full URL of the competitor website to compare against |
Output
{
"gaps": [
{
"gap": "Both sites lack structured data (JSON-LD), semantic HTML5 elements, FAQ schema, and descriptive meta descriptions that would help AI engines understand and cite content",
"action": "Add JSON-LD schema markup, use semantic HTML tags (article, section, nav), include meta description, and structure content with clear headings hierarchy",
"category": "aeo"
},
{
"gap": "Neither site provides conversational query optimization, natural language Q&A format, or content structured for voice/generative AI responses",
"action": "Rewrite content in Q&A format, add FAQ sections with natural language questions, implement speakable schema, and create concise answer-style content blocks",
"category": "geo"
},
{
"gap": "Both sites completely lack machine-readable APIs, action schemas, or structured endpoints that AI agents could interact with programmatically",
"action": "Implement OpenAPI documentation, add schema.org Action markup, create RESTful API endpoints, and provide clear robots.txt with API discovery paths",
"category": "agent"
},
{
"gap": "Neither site has MCP server implementation, tool definitions, resource schemas, or prompts that would enable Model Context Protocol integration",
"action": "Deploy MCP server with defined tools and resources, create .well-known/mcp-configuration.json, document available capabilities, and implement proper authentication for AI model access",
"category": "mcp"
}
],
"site_a": {
"url": "https://www.example.com",
"scores": {
"aeo": 15,
"geo": 10,
"mcp": 0,
"agent": 5
}
},
"site_b": {
"url": "https://www.example.org",
"scores": {
"aeo": 15,
"geo": 10,
"mcp": 0,
"agent": 5
}
},
"payment": {
"tx": "0x592c1f1be0255c28e3722c6989cd22b75b3b3a20a7c047364608ba00b9e1830a",
"flow": "cdp_facilitator",
"amount": 0.8,
"settled": true,
"currency": "USDC",
"x402Version": 2
},
"verdict": "Both sites are identical with minimal HTML and no AI optimization features, scoring extremely low across all categories. To improve AI visibility, both need comprehensive implementation of structured data, semantic markup, API endpoints, and MCP infrastructure.",
"capability": "compare",
"winner_by_category": {
"aeo": "tie",
"geo": "tie",
"mcp": "tie",
"agent": "tie"
}
}Schema · Response
| Field | Type | Description |
|---|---|---|
| url | string | Analyzed site URL |
| payment | object | Payment settlement info |
| capabilityrequired | string | Capability that was executed |
Tags
x402
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