A JSON report detailing a brand's mention rate, rank, and citations across major AI engines like ChatGPT and Perplexity, enabling SEO analysis.
The agent uses the AnswerLine MCP server to query specific engines (e.g., ChatGPT, Google Search) for brand mentions. It analyzes the returned JSON data to calculate visibility metrics such as rank and citation frequency. Before acting, the agent should verify the user's API key is active and check the rate limits to ensure sufficient credits for the batch of queries.
- Category: Research and knowledge
- Effect: Read-only
- MCP servers: AnswerLine MCP (https://koskamo.com/explore/answerline-mcp)
- Source: API documentation · AnswerLine (https://answerline.dev/docs)
- Source quote: "Measuring visibility Why one answer misleads, how many samples to take, and how to measure a brand's mention rate, rank and citations with plain HTTP or the SDK helpers."
- Playbook page: https://koskamo.com/explore/use-cases/measure-brand-ai-visibility-and-rank
Prompt: Analyze the AI visibility for the brand 'Acme Corp'. Query the ChatGPT and Google Search engines to determine their mention rate and current rank. Return the results as a JSON summary including the number of samples taken and the specific citations found.