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Data and analytics

ai-visibility-index

by creanlab

This is an open dataset that records, each week, which brands ChatGPT, Perplexity and Gemini name when asked buyer-style questions about SaaS tools and crypto. It also includes a small script to refresh the data and an optional server that lets an AI assistant query the figures.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHubProject website

Stars
0
Licence
MIT
Runs on
A cloud service
Setup
Easy
Language
Python
Age
87 days

What you can do with it

  • Download weekly JSON or CSV data showing how often AI assistants name each brand
  • Compare your own brand or competitors against the ranked SaaS and crypto lists over time
  • Connect the hosted or self-run MCP server so an AI assistant can look up the figures

Make money with it

A freelancer could use the open data as a baseline for paid AI-visibility audits or reports for small SaaS clients.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Benchmark your brand's visibility in AI answers against competitors without paying for a monitoring service
  • Use the cited, openly licensed figures in reports, blog posts or pitches to clients

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Add it to Claude Code

claude mcp add --transport http visibility-index https://dablock.ai/mcp

This one runs on the maker's server, not your computer, so what you send it leaves your machine.

From the official MCP Registry (ai.dablock/visibility-index). Only connect MCP servers you trust: they can act on your behalf.

Getting it running

The data can be downloaded as files or fetched from the live endpoints, and the optional MCP server runs with a Docker build and run command.

Follow the official instructions in the project README.

Things to check

  • Repository is only a mirror; the live data comes from the publisher's own sites
  • Covers only 20 SaaS brands and 24 crypto brands, so most businesses won't appear
  • Data is published by one company, so the method has not been independently checked
  • Brand-new repository with no stars
  • Two licences: CC BY 4.0 for data (attribution required) and MIT for code

Checked 01 Nov 2026. Summary drafted by AI from the project's README.

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