AIScan
by Oratis Kamir
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.
Skills (18)
Check Agent Files
check_agent_filesopenapi.json, ai-plugin.json, x402 payment support detection
Check Health
check_healthSite availability, robots.txt, AI crawler access (GPTBot, ClaudeBot, PerplexityBot), sitemap presence
Check Llms Txt
check_llms_txtllms.txt existence and quality check: sections, links, statistics
Check Mcp
check_mcpMCP discoverability: /.well-known/mcp.json, agent.json, MCP Server Card
Check Schema
check_schemaSchema.org JSON-LD detection: types found, FAQ schema, Organization schema
Compare
compareGap analysis vs a competitor URL: who wins each category and why
Fix Pack
fix_packCopy-paste fix instructions for every failed check
Full Audit
full_auditComplete audit: all 4 scores (AEO, GEO, Agent, MCP), 80+ checks
Full Report
full_reportEverything: full audit + fix pack + generated llms.txt and mcp.json
Generate Llms Txt
generate_llms_txtGenerate a ready-to-deploy llms.txt tailored to the site
Generate Mcp Json
generate_mcp_jsonGenerate ready-to-deploy mcp.json + agent.json for the site
Score Aeo
score_aeoFull AEO (AI Search Visibility) score 0-100 with detailed checks
Score Agent
score_agentFull Agent Readiness score 0-100 with detailed checks
Score Geo
score_geoFull GEO (Citation Readiness) score 0-100 with detailed checks
Score Mcp
score_mcpFull MCP Readiness score 0-100, the only scanner that checks this
Visibility Check
visibility_checkBrand visibility in AI answers: 30 realistic niche prompts through a frontier AI model - mention rate, share of voice, who gets recommended instead. Params: brand + niche
Visibility Fix Pack
visibility_fix_packReady-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
Visibility Vs Competitor
visibility_vs_competitorHead-to-head brand visibility: two brands measured on the same 30 AI answers - mention rates, share of voice, verdict. Params: brand + competitor_brand + niche