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Exepal AI Visibility Deep Scan
x402
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
Price / call$7
Success—
StatusUnknown
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.
Example use cases
Competitive AI share-of-voice audit
“Run a deep AI visibility scan for our brand Superhuman (superhuman.com) in the US email productivity apps category, compare us against Gmail and Outlook, and check all four engines — openai, anthropic, google, perplexity — using 25 prompts so we get solid coverage.”
New market AI brand presence check
“I'm launching in the UK market — can you check how visible Figma (figma.com) is in AI answers there for design tools, pit it against Sketch and Canva, across openai and perplexity, with 15 prompts?”
Pre-campaign AI visibility baseline
“Before we run our next ad campaign, get me a baseline AI visibility score for Linear (linear.app) in the US project management software space, test it against Asana and Jira on openai and anthropic with 20 prompts.”
Technical details
Endpoint
POSThttps://api.exepal.com/v1/ai-visibility/deep?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| brand | string | Brand to measure, e.g. Notion |
| domain | string | Brand website, e.g. notion.com |
| market | string | Country or market, e.g. US |
| engines | array | Subset of openai, anthropic, google, perplexity; default every engine that is enabled |
| prompts | array | Your own buyer questions instead of generated ones |
| category | string | Product category the prompts are about, e.g. note-taking apps |
| competitors | array | Competitor brand names |
| promptCount | number | Prompts to ask, capped by the tier |
Tags
x402
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