AI mention monitoring
Measure whether Claude, ChatGPT, and Gemini mention a company in answers to monitored topics, with visibility shown by model and over time.
Lettertrace
Freemium
Lettertrace is an open-source, BYOK tool for monitoring how AI assistants mention and recommend brands. It helps teams track AI visibility, compare competitors, and follow changes across Claude, ChatGPT, and Gemini.
O que é Lettertrace?
Lettertrace is an open-source, bring-your-own-key monitoring tool for measuring how brands appear in AI assistant answers. It checks responses from Claude, ChatGPT, and Gemini for brand mentions, ranking position, sentiment, recommendations, and competitive share of voice.
A monitoring run begins with a topic based on a buyer question. Lettertrace generates a set of natural prompts, queries the selected models, analyzes their answers, and turns each run into a data point for trend tracking. This gives teams a repeatable way to observe AI visibility instead of relying on occasional manual checks.
The product is designed for users who want to run and inspect the system themselves. It is MIT-licensed, supports user-provided Anthropic, OpenAI, and Google keys, and states that data is stored in the user's own Supabase. The site also provides a self-hosting workflow using npm and environment configuration.
O que Lettertrace pode fazer?
Prompt variation generation
Turn a single topic into dozens of natural-language questions, reducing the need to write and maintain every test prompt manually.
Position and sentiment analysis
Review where a brand appears in answers and whether the response is classified as positive, neutral, or otherwise favorable or unfavorable.
Share-of-voice benchmarking
Compare a tracked brand with selected competitors to see how answers are divided across the category and how that share changes.
Scheduled trend monitoring
Run checks daily or weekly so each result becomes part of a trend line that can be reviewed over successive monitoring periods.
BYOK and self-hosting
Use Anthropic, OpenAI, and Google keys, run the MIT-licensed code yourself, and keep product data in your own Supabase according to the site.
Casos de uso
“Audit brand visibility for buyer questions”
Add the questions prospects ask about a category, generate prompt variations, and see how often the brand is included in AI-generated research answers.
“Benchmark competitors in AI answers”
Track competing brands alongside your own to identify who receives the most mentions, strongest positions, or largest share of voice for the same topics.
“Measure the effect of content changes”
Use recurring runs and weekly trend lines to compare AI visibility before and after publishing comparison pages, product content, or other changes.
“Diagnose differences between AI models”
Review Claude, ChatGPT, and Gemini separately to determine whether a brand's visibility or sentiment varies by assistant.
“Run a self-managed monitoring stack”
Teams that need control over implementation can clone the MIT-licensed project, configure Supabase and provider keys, and run the application locally.
Perguntas frequentes
Which AI assistants does Lettertrace monitor?
The site explicitly lists Claude, ChatGPT, and Gemini. It also names Google AI Overviews as an answer engine to watch, while the documented end-to-end examples focus on the three named assistants.
How does a monitoring run work?
You add a topic based on what buyers ask, Lettertrace generates natural prompt variations, and the selected models answer those prompts. The answers are then checked for brand mentions, position, sentiment, and competitive share.
Can Lettertrace run automatically?
Yes. The site describes daily or weekly scheduled monitoring, allowing repeated runs to form a trend line over time.
Do users need to provide their own API keys?
Yes. Lettertrace uses a BYOK model and names Anthropic, OpenAI, and Google keys. The site says keys are encrypted at rest and do not leave the user's infrastructure.
Can Lettertrace be self-hosted?
Yes. The product is MIT-licensed and provides a setup example using Git, npm, an environment file, Supabase URL and keys, and a local development server. The supplied sources do not specify broader deployment requirements.
Informações rápidas
- Category
- AI visibility monitoring
- License
- MIT open source
- Key model
- Bring your own Anthropic, OpenAI, and Google keys
- Named assistants
- Claude, ChatGPT, and Gemini
- Monitoring cadence
- Daily or weekly scheduling
- Data and hosting
- Self-hostable; site states data lives in the user's own Supabase
Análise de tráfego de Lettertrace
Os dados de tráfego são apenas para referência.
- Classificação do domínio
- 15
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