geo-aeo-tracker

GEO/AEO Tracker is an open-source, self-hosted alternative to paid AI visibility tools such as Semrush AI Visibility and AthenaHQ. Each run scores your brand from 0 to 100 on mentions, position, frequency, citations and sentiment, and adds citation analysis, competitor battlecards and SRO analysis. It is for marketers, SEO teams and founders who want to own their data and their code. The software is free under the MIT license. Bright Data, OpenRouter and Gemini bill per API call. Try the live demo.

🌐 Built with Bright Data — the world's leading web data platform. GEO/AEO Tracker uses Bright Data's AI Scraper API to reliably collect structured responses from 4 AI engines. Get your API key →

Why

AI models are replacing traditional search for millions of queries. If your brand isn't visible in ChatGPT, Perplexity, or Gemini responses, you're invisible to a growing audience.

Paid AI visibility plans in the table below run $165 to $295 a month, and they keep your data on their servers. AEO and GEO tools compared lists current prices and plan limits.

GEO/AEO Tracker is the alternative:

• 🔑 BYOK (Bring Your Own Keys): results are stored in your browser by default
• 🤖 4 AI engines simultaneously: ChatGPT, Perplexity, Gemini and Google AI Mode
• 💸 Free software, pay-per-call data: the code is MIT licensed, and Bright Data, OpenRouter and Gemini bill per call
• 🛡️ Local-first by default: IndexedDB + localStorage, no external database
• ☁️ Optional cloud sync via your own Supabase project (free tier) for multi-device access

AEO and GEO tools compared

Prices as of October 2026.

A paid tool is the better pick when you want:

• Managed scheduling and reports without running anything yourself
• More engines on the plan, such as Claude, DeepSeek or Meta AI
• No API keys to manage

GEO/AEO Tracker is the better pick when you want:

• To own your data, with results stored in your browser or your own Supabase project
• No per-seat plan, so cost follows the prompts you run
• To change the code

Features

📋 13 Feature Tabs

🚀 Core Capabilities

• 🤖 Multi-model tracking across ChatGPT, Perplexity, Gemini and Google AI Mode
• 🌍 Geo-scoped tracking: run visibility checks by country and compare markets, with a "visibility by country" breakdown
• � SRO Analysis: multi-stage pipeline scoring how well your page is optimized for AI search results
• 🧪 Rank Signal: paired A/B tests inside the SRO tab that measure whether one text feature (a number, a named source, a freshness clause, …) changes which passage a model picks
• 📈 Visibility scoring (0–100): brand mentions, position, frequency, citations, sentiment
• 🔌 MCP server: ask your AI agent to check brand visibility, pull Google results or audit a page, through /api/mcp on your own deploy
• ⌨️ CLI: npx geo-aeo-tracker checks your brand's AI rank and runs the AEO audit from a terminal or a CI job
• 🔔 Drift alerts: automatic notifications when your score changes significantly
• ⏰ Scheduled auto-runs: configurable interval-based batch scraping
• 🚀 Batch runs: every prompt × engine combo, 4 at a time to stay inside the rate limit
• 📅 Historical comparison: delta tracking across time periods
• 🏢 Multi-workspace: manage multiple brands/projects independently
• 🎨 Dark/light/system theme with a polished sidebar UI
• 📱 Mobile-responsive: collapsible sidebar with hamburger menu, adaptive KPI grid, and scrollable model toolbar — works on any screen size

🧪 Rank Signal

The SRO score says how often your page is used; Rank Signal tests which text features get a passage picked. After an SRO run, it takes passages from your page and the top competitors (topped up from the rest of the SERP top 10 when there are fewer than 40), builds two versions of each that differ in exactly one feature, and asks a judge model which one it would rather cite. Wins are scored with a Jeffreys posterior and read only at 20, 30 and 40 trials, so a verdict (positive, negative, no clear effect, or inconclusive) comes with its 95% interval. An S00 placebo, which rewords one sentence without changing its meaning or length, shows how much the judge reacts to being edited at all. It is a pairwise preference proxy, not live grounding selection. Method after DEJAN AI's Rank Signal (dejan.ai/optimizer-sample).

AI visibility checker (GEO/AEO audit)

The AEO audit checks whether AI search engines can find, read and quote a page. It needs no API key and costs nothing to run: open the AEO Audit tab, call audit_page from the MCP server, or run it from the CLI:

npx geo-aeo-tracker audit https://acme.com

It runs 20 checks and scores the page from 0 to 100 on the share that pass:

• Discovery: llms.txt, llms-full.txt, AI crawler access in robots.txt for the page's path, and an XML sitemap (including a sitemap index or one listed in robots.txt)
• Structure: JSON-LD structured data, FAQ schema, Open Graph tags, meta description, canonical tag
• Content: a direct answer in the opening text (BLUF), heading hierarchy, content depth, internal links
• Technical and rendering: HTTPS, page size, lang attribute, client-side rendering, how much text the server-rendered HTML holds, a <noscript> fallback, JavaScript weight

Each failed check says what to fix.

Architecture

Next.js 16 + Turbopack
├── app/
│   ├── page.tsx                    # Main dashboard (or demo via env var)
│   ├── demo/page.tsx               #