Rankings

Measure how a set of brands rank in AI answers: mention rate, average position, and a per-model breakdown.

Overview

Track how often each model mentions a brand for a query, in what position, and the per-model split. mentionRate is the fraction of queried models whose answer named the brand; avgPosition is the mean 1-based rank of its first mention.

Reference

POST/v1/rankings

$0.01-$0.07/model · billed per model queried, so all 5 models = $0.22. Pass models to query fewer.

Parameters

`query`required	string	The query to measure brand/competitor visibility on.
`competitors`required	string[]	Brand or domain names to track within the AI-generated answers.
`models`optional	array of enum (chatgpt \| claude \| perplexity \| gemini \| google_ai_overview)	Optional model subset. Omit to query all five AI surfaces (chatgpt, claude, perplexity, gemini, google_ai_overview). Pass ["perplexity"] or ["perplexity","claude"] when the user asks for specific surfaces or wants to reduce cost.

Request

curl https://www.cite42.dev/api/v1/rankings \
  -X POST \
  -H "Authorization: Bearer $CITE42_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query":"best CRM for SaaS","competitors":["attio","hubspot"]}'

Response

{
  "query": "best CRM for SaaS",
  "rankings": [
    {
      "competitor": "hubspot",
      "mentionRate": 0.8,
      "avgPosition": 1.5,
      "byModel": {
        "chatgpt": 1,
        "claude": 1,
        "perplexity": 2,
        "gemini": 2,
        "google_ai_overview": 1
      }
    }
  ],
  "requestId": "…",
  "billing": {
    "cost": {
      "microCredits": 22000,
      "usd": "0.22"
    },
    "balance": {
      "microCredits": 1336000,
      "usd": "13.36"
    }
  }
}