AI Tool Tracks Brand Mentions in Generative Model Responses in Russia
The platform analyzes how often websites appear in answers generated by large language models
The Russian platform Geouseo has launched a public tool that tracks how often websites are cited in responses generated by AI models. The service shows how frequently a given resource appears in answers from major systems, including Alisa.
What the New Tool Does
The tool runs directly in a browser and does not require registration. Users can analyze up to 20 search queries per session. The output includes a report on the number of mentions, the context of citations, and sentiment—positive, neutral, or negative—in AI-generated responses.
Geouseo says the tool addresses a gap in traditional analytics. Standard SEO tools do not capture traffic from AI systems or measure brand presence in large language model outputs, and there are currently no widely adopted metrics for generative optimization.
A Tested Approach
The system is based on the company’s proprietary methodology, previously used in A/B testing across 120 websites. The results revealed that mention frequency in AI responses can fluctuate by two to three times within a month, depending on content updates and the emergence of new sources.
The open-access tool allows businesses to monitor these changes independently, removing the need to outsource such analysis.
What Comes Next
The company says monitoring is only the first step. By the end of 2026, the platform will add new modules, including one that automatically generates content optimization recommendations and another that forecasts AI-driven traffic based on collected data.
The system architecture accounts for differences between AI models. For example, it also analyzes user behavior signals when evaluating responses from GigaChat and Alisa.
A full research report is expected to be published in the third quarter of 2026.
