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MarketPulse LLM Visibility Analyzer
x402
MarketPulse LLM Visibility Analyzer is a paid API for AI agents from marketpulse-brown.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-15).
Analyzes and reports on how often and how favorably a brand is cited by AI assistants like ChatGPT, Claude, Gemini, and Google AI Overviews
Price / call$0.15
Success—
StatusUnknown
How this service works
Does ChatGPT, Claude, Gemini or Google AI Overviews even know this brand exists? Assesses current AI-answer visibility, scores the specific factors driving LLM citation, and returns quick wins plus a six-week plan to improve it, for a given brand and/or topic. Worldwide. For marketing and answer-engine-optimization agents.
Output
Returns an analysis of the brand's citation frequency and sentiment across major AI assistants (ChatGPT, Claude, Gemini, Google AI Overviews), including visibility scores, citation context, and potentially actionable recommendations to improve AI-generated brand mentions.
Example use cases
Track AI mention frequency for brand
“Can you run an AI visibility check on our brand 'NovaSpark Coffee'? I want to know how often ChatGPT, Claude, and Gemini are actually mentioning us when people ask about specialty coffee brands, and whether the sentiment is positive or negative.”
Benchmark competitors in AI answers
“We're trying to understand how 'FitForge' stacks up against competitors like Peloton and NordicTrack in AI-generated fitness recommendations — can you pull a report showing who's getting cited more often across ChatGPT, Gemini, and Google AI Overviews?”
Get quick wins for LLM visibility
“Our startup 'ClearPath Legal' barely shows up when people ask AI assistants about affordable legal software — can you analyze our current AI citation score and give us the quickest things we can do to start appearing in answers from ChatGPT and Claude?”
Technical details
Endpoint
GEThttps://marketpulse-brown.vercel.app/api/market/llm-visibilityWhen to prefer
Use this endpoint when you need to understand how a specific brand is being represented and cited by AI assistants in real-time, particularly for LLM SEO optimization, brand monitoring in the AI era, or competitive benchmarking against rivals in AI-generated content. Prefer this over traditional SEO tools when the goal is specifically AI assistant visibility rather than web search ranking.
Side effects
- Brand name not recognized or too generic — returns low-confidence or empty results
- Rate limiting or quota exceeded — HTTP 429 response
- Payment not processed correctly via x402 — HTTP 402 response
- Malformed query parameters — HTTP 400 with validation error
- Downstream LLM sampling failure — HTTP 500 or partial results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| lang | string | Language to respond in — defaults to English |
| brand | string | The brand to assess AI-answer visibility for — provide brand and/or topic |
| topic | string | The topic or category to assess AI visibility within — provide brand and/or topic |
Output
Schema · Response
{
"type": "json",
"example": {
"disclaimer": "AI citation patterns change frequently. Re-assess monthly as LLM training and retrieval methods evolve.",
"quick_wins": [
{
"action": "Add an FAQPage schema block to the service page",
"effort": "low",
"how_to": "Mark up the 5 most common customer questions with FAQPage schema",
"impact": "medium"
}
],
"eat_signals": {
"expertise": "Add technician credentials and years-in-business",
"trustworthiness": "Display licensing info and verified reviews prominently",
"authoritativeness": "Earn citations from local news or trade directories"
},
"amazon_search": "The Art of SEO by Eric Enge",
"schema_markup": {
"why": "Structured data helps AI systems extract and attribute answers",
"priority_pages": "Homepage and primary service pages",
"recommended_types": [
"FAQPage",
"LocalBusiness"
]
},
"six_week_plan": [
{
"week": "1-2",
"action": "Publish FAQ page with schema markup"
},
{
"week": "3-4",
"action": "Add pricing transparency page"
}
],
"competitor_gap": "Top local competitors publish pricing ranges directly on their sites, which AI systems favor when answering cost questions",
"why_it_matters": "AI Overviews and chat assistants increasingly answer local-service queries before a user ever clicks a search result",
"llm_citation_factors": [
{
"score": "low",
"factor": "Structured FAQ content answering direct customer questions",
"what_to_do": "Publish a dedicated FAQ page with question-form headings"
}
],
"visibility_assessment": "Low — no evidence this brand is currently surfaced in AI-generated answers for its core service category",
"content_types_ai_favors": [
"Direct-answer FAQs",
"Step-by-step how-to content",
"Pricing transparency pages"
]
}
}Tags
x402
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