AI Prompt Research

Goal

Answer "What are people asking ChatGPT about my market, and who gets cited when they do?" with the questions in DataForSEO's dataset, ChatGPT's answers to them, and the sites the answers rely on. Keyword research finds what people type into Google; this finds what they ask an AI assistant.

The deliverable is a short ranked list of prompt groups worth caring about, with where the brand already appears, where it is missing, and which domains own the citations. Tracking those prompts is a separate decision the user makes in Prompt Tracking.

Project context

The project-context tools are free and shared with the app and other agents.

1. External MCP clients: resolve the project with list_projects, ask only if the match is ambiguous, then call get_project_context. In SAM, use the current project and context already injected into the conversation; SAM has no get_project_context tool and needs no project selection or connection setup.
2. This workflow needs a brand, its website and a rough idea of what it sells. Reuse business_overview, audience, competitors and key pages. If business_overview is empty, infer it from the site, confirm it in one question, and save it with update_project_context.
3. Read get_ai_visibility_tracker to learn the saved topics and prompts. Prompts already tracked are marked tracked in research results; do not present them as new ideas. brandMentioned matches the tracker's own brand, whose name is the project name; if the project is not named as people write the brand, treat brand mentions as unknown and say so.
4. Check the research log for prompt research under 30 days old on the same keywords. Reuse it instead of paying again unless the user asks for fresh data.
5. On finish, append one line with update_project_context: { updates: [{ appendResearchLog: { summary: "AI prompt research: <keywords>. Verdict: <conclusion>" } }] }.

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