# AIScan

> AI visibility auditing for websites. 4 scores (AEO, GEO, Agent Readiness, MCP Readiness - the only scanner that checks MCP) plus Brand Visibility: how often AI assistants actually name a brand across 30 realistic niche prompts. 18 pay-per-use capabilities via x402 on Base, 0.06-3.50 USDC. No API keys, no signup.

- **Domain**: `api.getaiscan.app`
- **Provider**: api.getaiscan.app (https://api.getaiscan.app)
- **A2A protocol version**: 0.3.0
- **Kind**: paid_api
- **Category**: ai
- **Live-responds (last probe)**: True
- **Signed card**: False
- **Streaming**: False
- **Quality score**: 85%
- **Payment protocol**: x402 · network `eip155:8453` · ≥ $0.08
- **Wallet**: `0x0a28ace35b9687a9334cd503b3c7d4b23734a1c7`

## Skills
- **Check Health** — Site availability, robots.txt, AI crawler access (GPTBot, ClaudeBot, PerplexityBot), sitemap presence
- **Check Llms Txt** — llms.txt existence and quality check: sections, links, statistics
- **Check Schema** — Schema.org JSON-LD detection: types found, FAQ schema, Organization schema
- **Check Agent Files** — openapi.json, ai-plugin.json, x402 payment support detection
- **Check Mcp** — MCP discoverability: /.well-known/mcp.json, agent.json, MCP Server Card
- **Score Aeo** — Full AEO (AI Search Visibility) score 0-100 with detailed checks
- **Score Geo** — Full GEO (Citation Readiness) score 0-100 with detailed checks
- **Score Agent** — Full Agent Readiness score 0-100 with detailed checks
- **Score Mcp** — Full MCP Readiness score 0-100, the only scanner that checks this
- **Generate Llms Txt** — Generate a ready-to-deploy llms.txt tailored to the site
- **Generate Mcp Json** — Generate ready-to-deploy mcp.json + agent.json for the site
- **Full Audit** — Complete audit: all 4 scores (AEO, GEO, Agent, MCP), 80+ checks
- **Fix Pack** — Copy-paste fix instructions for every failed check
- **Compare** — Gap analysis vs a competitor URL: who wins each category and why
- **Visibility Fix Pack** — Ready-to-deploy fix materials for weak visibility areas: citable passages, FAQ schema JSON-LD, llms.txt sections. Needs weak_spots from a prior visibility_check
- **Full Report** — Everything: full audit + fix pack + generated llms.txt and mcp.json
- **Visibility Check** — Brand visibility in AI answers: 30 realistic niche prompts through a frontier AI model - mention rate, share of voice, who gets recommended instead. Params: bra
- **Visibility Vs Competitor** — Head-to-head brand visibility: two brands measured on the same 30 AI answers - mention rates, share of voice, verdict. Params: brand + competitor_brand + niche

## URLs
- Agent card: https://api.getaiscan.app/a2a
- Page (HTML): https://agenstry.com/agents/api.getaiscan.app
- Documentation: https://getaiscan.app/llms.txt