Slynnk vs Limelit
An open-source (Apache-2.0) AI visibility tool written in Go, run as a single binary with your own keys.
When Limelit is the better fit
- You want a single self-hosted binary, local data, and your own API keys.
Where Slynnk differs
- Slynnk is hosted and multi-client, with scraped consumer surfaces, white-label reports and a team workspace.
- Slynnk's methodology follows Limelit's published rules for denominators and matching, and credits it.
- Every number carries its sample size and a 95% likely range, and says whether a change is real or within the normal wobble of AI answers.
- Answers come from what people see where we can: ChatGPT, Gemini and Google are scraped consumer surfaces, each target is labelled, and API and scraped answers are never averaged.
Check before you decide
- Who collects the answers
- How many people need access
- Whether you need client-ready reports
Slynnk's rules for counting are on the methodology page; ask any tool for the same.
See your own numbers.
Start the 7-day trial, or run the free scan first.