What do you want to do?
4 use cases
-
Track your brand's AI answer visibility against rivals
Run one self-hosted pass that shows how often AI engines mention your brand versus competitors.
- Open
- Sales and marketing
- Intermediate
View prompt
Using the limelit-co/open repository, download the binary, start `limelit serve`, and complete the setup wizard for the domain <target-domain> with competitors <competitor-domains>. Press Run and report the visibility and share of voice per engine. Verify that each figure shows its answer count n.
-
Let Claude answer AI visibility questions from your data
Connect Claude to a local Limelit instance so it can read your visibility data in plain language.
- Open
- Claude Code
- Sales and marketing
- Intermediate
View 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.
-
Find which sites AI engines cite for your category
See which pages engines trust, classified as your own, competitor, social, informational or other.
- Open
- Sales and marketing
- Intermediate
View prompt
Using limelit-co/open, run one pass for the brand <target-brand> in the category <category>. Export the citation data and list the top 10 cited sites with their source type. Verify that each classification matches the stored citation rows.
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Export all visibility data as JSON or CSV
Pull the whole instance into one JSON file or a folder of CSVs for your own analysis or board material.
- Open
- Sales and marketing
- Intermediate
View prompt
In the limelit-co/open repository, run `limelit export` for the instance in ~/limelit and write the output to <output-path>. Expected output is a JSON document or CSV directory covering all answers. Verify that the row count for <engine-name> matches the dashboard count for that engine.
How to use Open
- Check you have what it needs: 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.
- Open limelit-co/open on GitHub and read the README and license.
- Run
mkdir -p ~/limelit && cd ~/limelit && curl -fsSL https://github.com/limelit-co/open/releases/latest/download/limelit_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar xz limelitto download the binary. (inferred, check the README) - Run
./limelit serveand Open localhost:1515 in a browser. - In the setup wizard, enter your domain, your category, up to five competitors, and one key (the free Limelit Cloud allowance via
limelit login, or your own OpenAI key). - Press Run, then read the Overview as each engine returns answers; numbers with fewer than 20 answers are marked as thin.
These steps come from our top use case, Track your brand's AI answer visibility against rivals, which also has a copy-paste agent prompt.
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Get them freeAbout this repo
- Who it is forMarketers, SEO and GEO specialists, founders and analysts who want to measure AI answer visibility on infrastructure they control.
- Why it is hot
- LanguageGo
- Sourcegithub.com/limelit-co/open · Back to Hot repos
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
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Questions about Open
What is Open?
Limelit Open is a self-hosted AI visibility tracker, shipped as one Go binary with SQLite, that measures how ChatGPT, Claude, Perplexity, Gemini and Google AI surfaces mention and cite your brand against competitors. It is an open-source project on GitHub: https://github.com/limelit-co/open.
Who is Open for?
Marketers, SEO and GEO specialists, founders and analysts who want to measure AI answer visibility on infrastructure they control.
What can I do with Open?
4 use cases so far, for example: Track your brand's AI answer visibility against rivals; Let Claude answer AI visibility questions from your data; Find which sites AI engines cite for your category. Each has steps and a copy-paste agent prompt.
What do I need to run Open?
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.
What are alternatives to Open?
Other hot AI repos in Sales and marketing: GTM Cofounder, Geolook, Agentic Product Demo, Growth Engineer, Founder Skill.
Is Open safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.