Notra
GEO analytics platform tracking brand visibility in AI answers; a feature flag moves its visibility classifiers onto Jev booleans.
Overview
Notra is a production GEO (generative engine optimisation) platform that asks ChatGPT, Claude, Gemini and Perplexity the questions buyers ask, then measures whether a brand is mentioned or recommended, who appears instead, and which content gaps to fill. It offers mention rates, share of voice, competitor tracking, draft generation, AI-traffic attribution through an SDK, agent-readiness audits, a REST API and an MCP server.
Per the list summaries, a NOTRA_JEV_CLASSIFIERS feature flag routes its brand-visibility classifiers off an LLM and onto Jev boolean decisions at a 0.5 threshold, targeting 300 ms p50. The fetched README excerpt does not describe this integration, so the exact questions are inferred. It is for marketing teams measuring presence in AI-generated answers.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Yes / no | Does this AI answer mention or recommend the brand?(inferred) | true · false |
How it works
- Run buyer prompts across AI engines and store the answers.
- With the flag on, ask Jev boolean questions about each answer.
- Treat probability >= 0.5 as true.
- Aggregate into visibility and share-of-voice metrics.
Strengths
- Replaces slower LLM classifiers with fast boolean decisions (target 300 ms p50 per list summary).
- Feature flag allows gradual rollout.
Caveats
- Jev integration details come only from list summaries.
- A fixed 0.5 threshold may not suit every classifier.
At a glance
- Type
- Project
- Status
- production
- Language
- TypeScript
- Runtime
- Bun, web app, REST API, MCP server
- Has code
- yes
Use cases and integrations
How curated lists describe it
Marketing analytics: production GEO platform whose `NOTRA_JEV_CLASSIFIERS` flag routes brand-visibility classifiers off an LLM and onto Jev `Boolean` decisions at a 0.5 threshold, targeting 300 ms p50.
yibie/awesome-jevMarketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
hellogumbo/awesome-jev
Frequently asked questions
Where does Jev fit in Notra?
Per the list summary, behind a feature flag that moves brand-visibility classifiers from an LLM to Jev boolean decisions.
What threshold is used?
The list summary says 0.5.
What is GEO?
Measuring and improving how a brand appears in answers from AI engines.
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