Lettertrace

Lettertrace

Lettertrace is an open-source, developer-first monitoring tool that measures how often AI assistants (Claude, ChatGPT, Gemini, and Google AI) mention and recommend your brand, producing visibility, share-of-voice, prominence, and sentiment metrics over time. It is designed for teams (AEO/GEO) to self-host and bring their own API keys.

Lettertrace is ai tools software teams evaluate for business intelligence. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium Enterprise 70/100
One of 195 tools in Business Intelligence
Added 2 months ago
Data reviewed Aug 12, 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: Business Intelligence

What it does

AI Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Business Intelligence

Pricing snapshot

Freemium from Free (MIT licensed)

Next step

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Lettertrace is an open-source, self-hostable monitoring product that tracks how often AI assistants (Claude, ChatGPT, Gemini, and Google AI) mention and recommend your company. It automatically converts topics into real user-style prompts, runs them across multiple models, and turns the raw answers into metrics teams care about β€” visibility, share of voice, prominence, and sentiment β€” with trend lines over time. It is developer-first: distributed under the MIT license, intended to be run with your own API keys and your own Supabase instance for data storage, enabling teams to monitor AI visibility without vendor lock-in.

Track your AI visibility for free (using your own API keys!) Discussion | Link

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Key Features

Bring your own key

Use your own Anthropic, OpenAI & Google keys. They’re encrypted at rest and never leave your infrastructure.

Multi-model monitoring

Compare answers across Claude, ChatGPT, Gemini, and Google AI Overviews side-by-side; add more answer engines as they matter.

Variation generation

Automatically generate dozens of natural prompt variations from a single topic so you monitor how questions are actually asked to AI assistants.

Sentiment & recommendations

Analyze not just whether you appear, but whether the answer speaks well of your brand and whether the model recommends you.

Share of voice & competitor benchmarks

Measure share of voice and see who models recommend; ingest rival brands to benchmark visibility and prominence.

Scheduled monitoring & trends

Run daily or weekly on autopilot; every run is a datapoint to build trend lines for visibility, prominence, and sentiment over time.

Open source & self-hostable

MIT licensed; fork, inspect, extend, and self-host with your infrastructure and Supabase backend to avoid vendor lock-in.

CLI and developer-first tooling

Provides a CLI for running monitors (example: `lettertrace run --project acme`) and quick local development instructions.

Pricing

Free Tier Available

Free and open-source; self-hostable MIT-licensed software with no vendor fees.

Open-source / Self-host

Free (MIT licensed)
  • Self-hostable
  • Bring your own Anthropic, OpenAI & Google keys
  • No usage markup or middleman

Use Cases

Brand visibility monitoring

Track how often your brand is mentioned by major AI assistants, and measure visibility and prominence across models.

Competitive benchmarking

Ingest competitor brands to calculate share of voice and see which competitors models recommend in answers.

Topic trend analysis

Monitor topics your buyers ask about (e.g., 'best CRM for startups') and watch trends over time using automatically generated prompt variations.

Sentiment & recommendation tracking

Measure sentiment of AI answers and whether assistants recommend your product compared to rivals.

Integrations

Anthropic / Claude

Use your Anthropic key to query Claude models as part of multi-model monitoring.

OpenAI / ChatGPT

Use your OpenAI key to query ChatGPT models for monitoring answers and metrics.

Google / Gemini and Google AI Overviews

Use Google API keys to include Gemini and Google AI Overviews in cross-model comparisons.

Supabase

Stores your monitoring data in your own Supabase instance; Lettertrace recommends storing data in Supabase to avoid vendor lock-in.

Benefits

Free and open-source: MIT licensed software you can fork, inspect, and self-host.
Privacy and control: bring your own API keys, encrypted at rest, and store data in your Supabase instance to avoid vendor lock-in.
Multi-model insights: compare visibility, share of voice, and sentiment across major AI assistants and see trend lines over time.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Clone the repository: git clone lettertrace && cd lettertrace
  2. 2 Step 2: Install dependencies: npm install
  3. 3 Step 3: Configure environment: cp .env.example .env.local and add Supabase URL + keys (and your AI provider keys)
  4. 4 Step 4: Run locally: npm run dev β†’ http://localhost:3000
  5. 5 Step 5: Set up your brand, add a key, and run your first monitor (example CLI: lettertrace run --project acme)

Support

docs

Self-host guide and product pages on lettertrace.com (self-host instructions and quickstart).

code repository

Open-source code available (GitHub link referenced on site) for issues, contributions, and fixes.

contact

Contact page referenced in the site navigation for inquiries.

API

Available: No

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