Measure brand AI visibility and rank
A JSON report detailing a brand's mention rate, rank, and citations across major AI engines like ChatGPT and Perplexity, enabling SEO analysis.
How it works
Read-onlyResearch and knowledge
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.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Prompt for Measure brand AI visibility and rank
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.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
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.API documentation · AnswerLine