Receive JSON data on how AI engines like ChatGPT, Perplexity, and Google respond to specific queries, enabling SEO analysis and brand visibility tracking.
The agent identifies the target AI engine (e.g., ChatGPT, Perplexity) and the query to monitor. It constructs a request body matching the engine's specific endpoint schema. The agent calls the corresponding tool (e.g., chatgpt, perplexity) via the MCP server. It parses the JSON response to extract the AI's output, sources, and any relevant metadata. Before acting, the user should verify the API key has sufficient credits and that the query is safe and compliant with the engine's usage policies.
- Category: Research and knowledge
- Effect: Read-only
- MCP servers: AnswerLine MCP (https://koskamo.com/explore/answerline-mcp)
- Source: MCP server setup: endpoints, tools and costs · AnswerLine (https://answerline.dev/docs/mcp)
- Source quote: "One tool per engine your account can use, plus credits . Each engine tool's input schema is that endpoint's request schema"
- Playbook page: https://koskamo.com/explore/use-cases/monitor-ai-engine-visibility-for-seo
Prompt: Check how ChatGPT responds to the query 'best sustainable coffee brands'. Extract the main answer and any cited sources.