# Exepal AI Visibility Deep Scan

> Exepal AI Visibility Deep Scan is a paid API for AI agents from api.exepal.com, paid per call via x402, $7/call, status unknown (last checked 2026-11-01).

Measures a brand's visibility and share-of-voice across major AI answer engines (OpenAI, Anthropic, Google, Perplexity) by running multiple prompts and scoring how often the brand appears in AI-generated responses

## Facts

- Endpoint: POST https://api.exepal.com/v1/ai-visibility/deep?utm_source=zero.xyz
- Price: $7/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-01
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/exepal-ai-visibility-deep-scan-c80c7911
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_q0J84gB10JWToI00RJMRc

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability exepal-ai-visibility-deep-scan-c80c7911 -d '<json body>'
```

Example prompt: Run a deep AI visibility scan for Notion (notion.com) in the US note-taking apps category against competitors Obsidian and Evernote — check all four engines (openai, anthropic, google, perplexity) with 20 prompts.

## When to prefer this

Choose this endpoint when you need a comprehensive, multi-engine AI visibility analysis with competitor benchmarking and prompt-level detail. It's more thorough (and more expensive) than a lightweight visibility check, making it ideal for quarterly brand audits, pre-campaign baselines, or competitive intelligence reports where depth matters more than speed or cost.

## Known failure modes

- Invalid or unrecognized brand name returns low-confidence or empty results
- Unsupported engine names in the engines array cause validation errors
- promptCount exceeding tier cap is silently capped or returns a tier error
- Unavailable AI engine at query time may return partial results for that engine
- Payment failure or insufficient USDC balance blocks the request entirely
- Highly niche or non-English-primary brands may yield sparse data in certain markets

## How this service works

Paid single-purpose tools for AI agents: AI brand visibility, creator vetting, company enrichment, ad creative scoring, SERP + AI answer monitoring. Pay per call in USDC on Base via x402. No accounts or API keys.

## Output

Returns a structured report with the brand's overall AI visibility score, per-engine mention rates, share-of-voice relative to competitors, and a breakdown of which prompts triggered brand mentions — enabling comparison across AI platforms and competitor benchmarking.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "brand": {
   "type": "string",
   "description": "Brand to measure, e.g. Notion"
  },
  "domain": {
   "type": "string",
   "description": "Brand website, e.g. notion.com"
  },
  "market": {
   "type": "string",
   "description": "Country or market, e.g. US"
  },
  "engines": {
   "type": "array",
   "items": {
    "type": "string"
   },
   "description": "Subset of openai, anthropic, google, perplexity; default every engine that is enabled"
  },
  "prompts": {
   "type": "array",
   "items": {
    "type": "string"
   },
   "description": "Your own buyer questions instead of generated ones"
  },
  "category": {
   "type": "string",
   "description": "Product category the prompts are about, e.g. note-taking apps"
  },
  "competitors": {
   "type": "array",
   "items": {
    "type": "string"
   },
   "description": "Competitor brand names"
  },
  "promptCount": {
   "type": "number",
   "description": "Prompts to ask, capped by the tier"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/exepal-ai-visibility-deep-scan-c80c7911/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.exepal.com](https://www.zero.xyz/host/api.exepal.com/llms.txt)