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Lettertrace
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About Lettertrace
Lettertrace is an open-source tool designed to monitor how frequently AI assistants such as ChatGPT, Claude, and Gemini reference a brand in their auto-generated responses. It provides detailed visibility metrics, including share of voice, prominence, and sentiment analysis, broken down by topic, model, and time period. The tool is built for AI Engine Optimization (AEO) and Generative Engine Optimization (GEO) teams who prioritize transparency and data ownership. Users can self-host the stack using their own Supabase instance, ensuring compliance with privacy requirements and avoiding vendor lock-in. Lettertrace automates the generation of prompt variations and tracks how AI models answer real user questions, enabling teams to benchmark their brand against competitors and identify trends over time. The MIT-licensed CLI and web app offer flexibility for integration into existing workflows while maintaining full control over data and infrastructure.
Key features
- Tracks brand mentions across AI assistants (ChatGPT, Claude, Gemini)
- Measures visibility, share of voice, prominence, and sentiment
- Benchmarks competitors and tracks trends over time
- Supports automated monitoring with scheduled runs
- Self-hosting capability via Supabase for data ownership
- MIT-licensed open-source CLI and web app
- No vendor lock-in with bring-your-own-key model
- Topic-specific and model-specific analysis
Use cases
- Monitoring how AI assistants reference your brand in responses
- Benchmarking brand visibility against competitors in AI outputs
- Optimizing content for AI engine visibility (AEO/GEO)
Pros
- Open-source and self-hostable, ensuring full data ownership and avoiding vendor lock-in
- Supports monitoring across multiple AI models including ChatGPT, Claude, and Gemini
- Provides detailed metrics such as visibility, share of voice, prominence, and sentiment analysis
- Allows users to bring their own API keys, ensuring privacy and control over data
- Automated monitoring with scheduled runs for trend analysis over time
Cons
- Requires technical setup for self-hosting, which may be challenging for non-developers
- Dependent on the availability and pricing of third-party AI model APIs for data collection
Frequently asked questions about Lettertrace
What does Lettertrace do?
Lettertrace monitors how often AI assistants like ChatGPT, Claude, and Gemini mention your brand in their responses. It tracks metrics such as visibility, share of voice, prominence, and sentiment analysis across topics and models.
Who is Lettertrace designed for?
The tool is designed for AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) teams who need to track and improve their brand's presence in AI-generated content while maintaining data privacy and ownership.
How does Lettertrace work?
Users add their topics of interest, and Lettertrace auto-generates natural prompt variations to query AI models. The tool then analyzes responses to provide visibility metrics, sentiment scores, and competitor benchmarks over time.
Can I use my own API keys with Lettertrace?
Yes, Lettertrace allows users to bring their own API keys for AI models, ensuring data privacy and avoiding third-party markups. These keys are encrypted at rest and never leave the user's infrastructure.
Is Lettertrace free to use?
Lettertrace is open-source and free to use, though users are responsible for their own API costs when querying AI models. Self-hosting requires setting up a Supabase instance.
How do I get started with Lettertrace?
Users can start by cloning the Lettertrace repository, installing dependencies, and configuring their Supabase instance. The tool provides a CLI and web app for running monitors and analyzing results.
Lettertrace Website Engagement
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