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AI Search & Brand Insights · An Infinfer Product
AsterQA GEO
Multi-model AI visibility monitoring, citation tracing, and GEO optimization testing
AsterQA GEO helps brands and products manage their visibility in AI search. It collects answers from multiple models to track mentions, recommendation placement, competitors and citation sources. A GEO Agent then assists with optimization materials, while a fixed set of questions helps compare results before and after changes.
Does your brand appear in AI recommendations?
For brand and product teams seeking to understand their visibility in AI search, AsterQA GEO tracks whether a brand is mentioned or recommended, where it appears, and how competitors and cited sources differ across questions. It turns individual answers into brand perception and visibility signals that teams can follow over time.
Build a baseline with a set of questions
Add a brand and its official website, create questions around products, audiences, and use cases, then collect samples through model APIs already enabled by the platform. Customers do not need to deploy collection services or supply model API keys. Original answers and citations remain available for checking metrics and identifying content gaps or factual errors.
Turn insights into actions and follow-up tests
The GEO Agent combines product facts with available research factors to help draft content improvements, structured fact sheets, and action lists. Review these materials before acting, then repeat the same questions with a consistent model setup to track changes and support weekly or monthly reviews.
Engineering: connecting metrics to evidence
The project uses Vue, TypeScript, and Fastify, with MySQL, Redis, and task queues for collection, analysis, and scheduling. It records model answers, citations, API usage, and task progress. Organization-level data isolation applies throughout collection and workspace operations.
How to interpret reports and changes
Example interfaces on the homepage are demonstrations, not customer results. AI answers vary by model, time, and question; observations from APIs also do not cover every experience in consumer apps. Changes must be interpreted in the context of the sampling setup. Rankings, recommendations, and sales are not guaranteed.
Current Project Website
See how AI mentions and recommends your brand, then turn insights into actionable improvements you can measure again.
Check the project website for the latest available features and instructions.
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