Bring your own key
Bring your own Anthropic, OpenAI, and Google keys. The site says keys are encrypted at rest and never leave your infrastructure.
Lettertrace
Lettertrace is an open-source, bring-your-own-key tool for monitoring how AI assistants mention a brand or topic. It helps teams track visibility, share of voice, sentiment, and competitor presence across AI answers.
Overview
Lettertrace is an open-source, bring-your-own-key tool for monitoring how AI assistants mention a brand or topic. It is designed for teams that want to measure AI visibility across Claude, ChatGPT, Gemini, and Google AI Overviews without relying on a vendor middleman.
The workflow starts with a topic, generates realistic prompt variations, and then runs those prompts on a schedule so users can track mention rate, share of voice, sentiment, and competitor presence over time. The product is positioned as developer-first and self-hostable, with setup centered on your own API keys and Supabase-backed data.
Features
Multi-model monitoring
Run prompts against Claude, ChatGPT, Gemini, and Google AI Overviews side by side, with room to add more answer engines as needed.
Variation generation
Start with a topic and let Lettertrace generate natural prompt variations automatically, reducing manual prompt writing.
Answer-level metrics
Track visibility, share of voice, prominence, sentiment, and recommendations for each topic, model, and time period.
Scheduled monitoring
Schedule daily or weekly monitoring jobs to create a trend line and compare how results change over time.
Open-source self-hosting
Fork, inspect, and self-host the open-source code under an MIT license with your own Supabase data store.
Use Cases
Brand visibility monitoring
Track whether your company appears when users ask AI assistants for recommendations in your category, then watch how often it is mentioned and whether it is recommended positively.
Competitive benchmarking
Compare your brand with named competitors and review share of voice, competitor frequency, and model-specific mention patterns across different answer engines.
Trend tracking over time
Turn a single topic into many realistic prompts, then run them on a schedule to see how answers shift as models change.
Answer quality analysis
Use the tool to inspect the quality of AI answers, including sentiment and recommendations, when you are planning AEO or GEO work.
Self-hosted monitoring setup
Run the open-source stack locally or self-host it with your own keys and Supabase-backed data if you want control over infrastructure and stored data.
Pros and Cons
Pros
- Open-source and MIT licensed, with code you can fork and inspect.
- Bring-your-own-key setup keeps Anthropic, OpenAI, and Google usage tied to the user’s own accounts.
- Supports side-by-side monitoring across multiple AI systems, including Claude, ChatGPT, Gemini, and Google AI Overviews.
- Generates prompt variations automatically from a topic, which reduces manual prompt writing.
- Produces recurring measurements such as visibility, share of voice, sentiment, and competitor comparison over time.
Cons
- The public site does not provide published pricing information, and the pricing URL currently returns a 404 page.
- The source copy emphasizes setup with your own API keys and a local/self-hosted workflow, so it is not presented as a fully managed plug-and-play service.
FAQ
How do I get started with Lettertrace?
Lettertrace is set up to monitor brand mentions in AI assistant answers. The source copy points to a flow where you add your brand, add a key, and run a first monitor in minutes.
Can teams create a workspace and sign in with multiple methods?
The site shows sign-in options for Google, GitHub, or email and says it creates your workspace automatically for new users.
Which AI systems does Lettertrace monitor?
Lettertrace runs prompts against Claude, ChatGPT, and Gemini with your own API keys, and the site also mentions Google AI Overviews in its feature list.
What outputs does Lettertrace provide?
The product focuses on visibility, share of voice, prominence, sentiment, and competitor benchmarking across topics and over time.
Is pricing published on the site?
The source material does not document paid plan pricing, and the pricing URL currently returns a 404 page.
Quick Facts
- Category
- AI mention monitoring
- Platform
- Web app and CLI
- Deployment
- Self-hostable
- License
- MIT
- Primary users
- Developer-first teams and AEO/GEO workflows
- Source domain
- lettertrace.com
Альтернативы Lettertrace
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Skayle
Skayle is a content and AI search visibility platform that researches topics before writing, publishes structured content to a CMS, and tracks whether brands are cited in AI search. It is aimed at teams that want one system for publishing, schema-rich content, and visibility monitoring.
Radar
Radar is a self-hostable media intelligence and social listening app for monitoring public sources, analyzing mentions, and generating briefs or content outputs with optional Claude AI. It is aimed at individuals and small teams that want an enterprise-style workflow without a cloud account.
SaveMRR
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