{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "limelit-co-open--ask-claude-about-ai-visibility-data",
 "repo": "limelit-co/open",
 "repo_url": "https://github.com/limelit-co/open",
 "repo_slug": "limelit-co-open",
 "title": "Let Claude answer AI visibility questions from your data",
 "page_title": "How to let Claude answer AI visibility questions from your data with Open",
 "summary": "Connect Claude to a local Limelit instance so it can read your visibility data in plain language.",
 "who": "A marketer or founder who already uses Claude and wants to ask questions like which competitor is ahead on a given engine without building dashboards.",
 "problem": "Visibility data sits in a dashboard that someone has to read and interpret, which slows down questions from the team.",
 "outcome": "Claude answers questions about your brand's AI visibility by calling the Limelit MCP tools against your own SQLite data.",
 "steps": [
  "Complete the install and first run from the quick start so that `~/limelit` contains the `limelit` binary.",
  "Run `claude mcp add limelit -s user -- sh -c 'cd ~/limelit && exec ./limelit mcp'` to register the server with Claude Code.",
  "For Claude Desktop, add the `limelit` entry with command `sh` and args `-c` and `cd ~/limelit && exec ./limelit mcp` to `claude_desktop_config.json`.",
  "Ask Claude for your current visibility; the first tool call reports whether the instance is not set up, never run, or ready."
 ],
 "agent_prompt": "In the limelit-co/open repository, register the MCP server with `claude mcp add limelit -s user -- sh -c 'cd ~/limelit && exec ./limelit mcp'`. Then ask it for the visibility of <brand-name> against <competitor-name> across all engines. Expected output is a plain-language summary with the sample size behind each figure. Verify that the first tool call reports the instance state.",
 "agents": [
  "claude-code"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "The MCP server reads an instance that must already be set up and have run at least once, so a fresh install will report that it has not been run yet.",
 "category": "Sales and marketing",
 "tags": [
  "Sales and marketing"
 ],
 "lang": "go",
 "requirements": [
  "macOS or Linux terminal with curl",
  "Either a free Limelit Cloud account (sign in with Google) or your own provider API key, such as OpenAI's",
  "Your brand domain, category and up to five competitor sites"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/limelit-co-open/ask-claude-about-ai-visibility-data/",
 "md": "https://dedupedai.com/use-cases/limelit-co-open/ask-claude-about-ai-visibility-data/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/limelit-co-open--ask-claude-about-ai-visibility-data.json",
 "api_version": "v1"
}