AIScan AI Visibility API

The AI Visibility API from AIScan — 19 operation(s) for ai visibility.

Operations 19

POST /api/agent/check_health Site availability, robots.txt, AI crawler access (GPTBot, ClaudeBot… #
POST /api/agent/check_llms_txt llms.txt existence and quality check: sections, links, statistics #
POST /api/agent/check_schema Schema.org JSON-LD detection: types found, FAQ schema, Organization schema #
POST /api/agent/check_agent_files openapi.json, ai-plugin.json, x402 payment support detection #
POST /api/agent/check_mcp MCP discoverability: /.well-known/mcp.json, agent.json, MCP Server Card #
POST /api/agent/score_aeo Full AEO (AI Search Visibility) score 0-100 with detailed checks #
POST /api/agent/score_geo Full GEO (Citation Readiness) score 0-100 with detailed checks #
POST /api/agent/score_agent Full Agent Readiness score 0-100 with detailed checks #
POST /api/agent/score_mcp Full MCP Readiness score 0-100, the only scanner that checks this #
POST /api/agent/full_audit Complete audit: all 4 scores (AEO, GEO, Agent, MCP), 80+ checks #
POST /api/agent/generate_llms_txt Generate a ready-to-deploy llms.txt tailored to the site #
POST /api/agent/generate_mcp_json Generate ready-to-deploy mcp.json + agent.json for the site #
POST /api/agent/fix_pack Copy-paste fix instructions for every failed check #
POST /api/agent/generate_skill Generate a ready-to-run SKILL.md fix file that Claude Code and other AI coding… #
POST /api/agent/compare Gap analysis vs a competitor URL: who wins each category and why #
POST /api/agent/full_report Everything: full audit + fix pack + generated llms.txt and mcp.json #
POST /api/agent/visibility_check Brand visibility in AI answers: AIScan runs 30 realistic niche prompts through… #
POST /api/agent/visibility_vs_competitor Head-to-head brand visibility in AI answers: 30 niche prompts, both brands… #
POST /api/agent/visibility_fix_pack Ready-to-deploy fix materials for weak visibility areas: citable passages, FAQ… #

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OpenAPI Specification

getaiscan-app-ai-visibility-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: AIScan Agent AI Visibility API
  version: 5.9.4
  description: 'AI visibility auditing for websites, pay-per-capability via x402 on Base. 4 score types: AEO (AI Search Visibility), GEO (Citation Readiness), Agent Readiness, and MCP Readiness - the only scanner that checks MCP. Plus brand visibility measurement: how often AI assistants actually mention your brand.'
  x-guidance: 'Start with GET /api/agent/index (free) to see all 19 capabilities and prices. Cheap checks (check_health, check_llms_txt, check_schema, check_mcp, 0.06-0.08 USDC) are pure HTTP checks. Scores (score_aeo/geo/agent/mcp, 0.15-0.20 USDC) return a 0-100 score with detailed checks. full_audit (0.35) returns all 4 scores. fix_pack (0.55) returns copy-paste fixes for failed checks. generate_skill (0.45) returns a ready-to-run SKILL.md file that Claude Code and other AI coding agents execute to apply every fix automatically. compare (0.80) needs both url and competitor in the JSON body. full_report (1.55) bundles everything. visibility_check (1.95) measures how often AI assistants mention a brand across 30 realistic niche prompts - needs brand and niche in the JSON body, no url. visibility_vs_competitor (3.50) measures two brands head-to-head on the same 30 prompts - needs brand, competitor_brand and niche. visibility_fix_pack (1.25) generates ready-to-deploy fix materials (citable passages, FAQ schema, llms.txt sections) - needs brand, niche and weak_spots array from a prior visibility_check; the weak_spots field is included in every visibility_check response. All paid routes accept POST with JSON body and x402 payment: either a signed PAYMENT-SIGNATURE payload (settled via Coinbase CDP facilitator) or a Base USDC transfer tx hash in the same header (direct-transfer).'
  contact:
    url: https://getaiscan.app
servers:
- url: https://api.getaiscan.app
tags:


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