Self-host Limelit Open
v0.1.0-rc.14Self-hosted AI visibility tracking for AEO, GEO, and LLMO
- Stars
- 223
- Port
- 1515 (HTTP dashboard, JSON API, MCP over HTTP)
ghcr.io/limelit-co/openWhat is Limelit Open?
Limelit Open is a self-hosted platform that tracks how AI answer engines mention and cite your brand compared to competitors. It covers seven engines using both official APIs and scraped consumer interfaces. The software runs as a single Go binary with an embedded SQLite database, provides a web dashboard on port 1515, and includes an MCP server so AI assistants can query the visibility data. Users bring their own API keys for providers like OpenAI, Anthropic, Perplexity, Google, OpenRouter, DataForSEO, SearchAPI, Cloro, BrightData, Oxylabs, and Olostep, paying those providers directly. Key features include visibility tracking, share of voice, citation analysis, a prompt-by-engine grid, query fan-out capture, scheduling, data export, and a one-command upgrade to the managed Limelit Cloud service. The project is in pre-release (v0.1) under the Apache-2.0 license.
Should you self-host Limelit Open?
Limelit Open scores 45/100 on selfhost.directory (how scoring works) and ranks #74 of 125 in AI. It has 223 GitHub stars.
There was no stable release in the past 12 months, so check the repository's recent activity before you rely on it.
Setup is moderate: expect some configuration beyond a single command. An official Docker image is available. It is Apache-2.0-licensed and written mostly in Go.
Its closest alternative on selfhost.directory is Elmo (52/100, 517 stars). It scores higher overall, so compare the two before you pick. See Limelit Open vs Elmo side by side.
Features
- Citation analysis
- Embedded dashboard
- Evaluation runner
- Export
- Hybrid providers5 of 11 providers not yet built
- MCP Server
- One-command upgrade
- Prompt by engine grid
- Query fan-out capture
- Scheduler
- Setup Wizard
- Share of voice
- Single binary with SQLite
- Visibility tracking
Limelit Open README
FAQ
What database does it use?
SQLite, pure Go, no cgo. A Postgres option is on the list, not in v0.1.
Can I track more than one brand?
Not in v0.1, which is one property per instance. Run several instances, or use the hosted product, which is built for portfolios.
Does any of my data leave my machine?
Only the prompt text, in the calls to the engines and scrapers you configure. Answers, mentions, citations and usage stay in your SQLite file.
Do I need a scraper account?
Not to start. One API key gets you running. Scrapers are what you add when you want the consumer surface or the Google AI surfaces, which have no API.
Why does my ChatGPT number differ from what I see in ChatGPT?
Because an API call with web search on and the consumer product are different surfaces. Both are tracked, labeled api and scraped, and never averaged together.
Does this replace my SEO tool?
No. It measures a different surface. Traditional SEO tools measure ranked links; this measures what a generated answer says and cites.
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