AI Tracker

AI Tracker

AI Tracker is a live analytics dashboard that shows which AI tools the world is searching for and using, combining Google search-share, developer signals (SDK downloads, GitHub momentum, model downloads), and attention metrics with country-level maps, trends and an archive.

AI Tracker is research software teams evaluate for education & research. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free API 70/100
#86 in Research (85 tools)
Just launched
Data reviewed Aug 17, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Education & Research

What it does

Research software for decision-makers comparing workflow fit and alternatives.

Best fit

Education & Research

Pricing snapshot

Free

Next step

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AI Tracker

AI Tracker is an interactive, daily-refreshed dashboard that tracks which AI tools the world is searching for and signals of developer adoption. It combines Google search-share (relative preference, not usage counts) across 85 tracked countries, developer signals (SDK downloads, GitHub momentum, open-model downloads), and attention metrics into maps, leaderboards and per-tool pages. The product includes country maps with top-5 tool lists, an archive time machine (growing daily from Jul 7, 2026), a research console with exportable filters, a plain-JSON API, and embeddable widgets.

A search engine to track AI. Which AI is the world actually using — ChatGPT, Gemini, Claude, DeepSeek, Grok? Tracked daily across 80+ countries: search preference per country, plus SDK downloads, OSS momentum and open-model downloads.

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Key Features

Interactive world map

A map colored by the AI each country prefers; tap a country for its full top-5 and historical trends (85 countries with enough search volume are tracked).

Search-share leaderboards & country tables

Share of Google search interest displayed as relative preference (not raw usage), with country tables, trends, and one-day/7-day/30-day moves.

Developer signals

Signals from SDK downloads, GitHub momentum, open-model downloads and sources like npm/PyPI and Wikipedia to show developer activity.

Time machine / archive

Drag through an archive of historical data (growing daily from Jul 7, 2026) to inspect how tool preference evolved over time.

Latest movers and market tape

Daily lists of biggest one-day share swings, day’s gainers and decliners, country movers and overnight developer signals.

Research console & plain-JSON API

PhD-mode filters to slice every signal by tool, country and date, export and reproduce research; a plain-JSON API with documented methodology and no API key required.

Embeddable widget

A free, self-updating widget to publish today’s AI movers on your site or newsletter — pick a layout and copy a snippet.

The Wire & AI Daily features

AI news headlines with market reaction analysis and a daily game (AI Daily) built from the tracker’s data for engagement.

Pricing

Free Tier Available

A free widget that updates itself every morning is explicitly offered; no other pricing details are provided on the page.

Use Cases

Academic and reproducible research

Use the Research console and plain-JSON API to filter signals by tool, country and date, then export and cite data for reproducible studies.

Developer and product monitoring

Track SDK downloads, GitHub momentum and model downloads to monitor developer adoption and momentum for specific tools.

Newsrooms and analysts

Monitor daily movers, market tape and the wire to report how news and events correlate with changes in attention and search share.

Publishers and newsletters

Embed the free widget to show daily AI movers and rankings on blogs or newsletters for audience engagement.

Integrations

Google Trends (search-share)

Search-share data is derived from Google search interest (not raw usage counts); shares are relative preference metrics.

GitHub

Developer momentum signals include GitHub activity.

npm / PyPI

Package ecosystem signals (npm/PyPI) are used to measure SDK/download momentum.

Wikipedia

Wikipedia is listed as one of the signals contributing to attention and momentum measurements.

Benefits

Daily-updated, multi-signal view of AI-tool attention combining search-share and developer signals for a more complete adoption picture.
Granular, country-level insights with a historical archive and an interactive time machine to analyze geographic trends over time.
Reproducible research workflow via a documented plain-JSON API and a Research console that allows export and citation of filtered signals.

Limitations

Search-share represents relative Google search interest (preference), not absolute usage counts or market share.
Search-share data may lag: the page notes a recent example where search-share data was 13 days behind due to Google Trends rate-limiting.
Only 85 countries have sufficient search volume to be shown; remaining countries are treated as neutral.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Visit the AI Tracker page and use the world map or the 'Compare' view to pick a tool or country.
  2. 2 Step 2: For deeper analysis open the Research console (PhD mode) to filter signals by tool, country and date and export results.
  3. 3 Step 3: Embed the free widget by picking a layout and copying the provided snippet, or access the plain-JSON API to programmatically retrieve data.

Support

docs

A fully documented methodology is available on-site alongside a validation study against vendor ground truth.

contact

Site contact page (Contact) for inquiries and support.

API

Available: Yes
Documentation:

Plain-JSON API with a fully documented methodology and validation study; no API key required (documentation on site).

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