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.
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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
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 — visibility, share of voice, prominence, and sentiment — 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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Claim this listing for $29Key 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 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
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Step 1: Clone the repository: git clone lettertrace && cd lettertrace
- 2 Step 2: Install dependencies: npm install
- 3 Step 3: Configure environment: cp .env.example .env.local and add Supabase URL + keys (and your AI provider keys)
- 4 Step 4: Run locally: npm run dev → http://localhost:3000
- 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
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