# AI Prompt Research

Finds what people ask AI about a market and which sites ChatGPT cites.

- Repository: https://github.com/every-app/open-seo (25988 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add every-app/open-seo --skill ai-prompt-research -g -a claude-code -y`
Codex: `npx skills add every-app/open-seo --skill ai-prompt-research -g -a codex -y`
Cursor: `npx skills add every-app/open-seo --skill ai-prompt-research -g -a cursor -y`
Gemini CLI: `npx skills add every-app/open-seo --skill ai-prompt-research -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add every-app/open-seo`

## Description

Find the questions people ask about a market, how ChatGPT answers them, and which sites get cited in the answers. Use when the user asks what people ask AI about their niche, wants prompt ideas, or wants to know where their brand is missing before choosing prompts to track. Research only; it never saves tracking or starts answer collection.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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>" } }] }`.

## OpenSEO MCP tools

The rest: https://github.com/every-app/open-seo/blob/HEAD/.agents/skills/ai-prompt-research/SKILL.md