AI monitoring of Telegram
According to Mediascope, in the first quarter of 2025, Telegram's reach was 74% (12+), with 55% daily usage and an average of 47 minutes per day; the online time share was 9%.
This highlights the need for systematic monitoring and analytics of the Telegram information space. Our AI-powered monitoring allows you to receive ready-made analytical reports rather than just a list of links with titles.
What the team gets:
  • Monitoring of specified Telegram channels by keywords/topics with a specified frequency.
  • Express summaries: tonality (±/0), key messages, dynamics of mentions."Plots": combining publications into themes/narratives.
  • Detailed text analytical help based on the collected materials.
How it works (technology):
  • Search automation: The Telegram bot scans selected channels on a schedule and filters by keywords.
  • AI analysis: Classification, sentiment analysis, entity/quote extraction, topic clustering, summarization, and reference generation.

Customization for you:
  • List of channels and check frequency; dictionaries/stop words; languages; alarm levels (operational alerts / daily / weekly digests).

Formats and delivery:
  • Telegram/e-mail alerts; daily and weekly digests; final reports in PDF/Docx.

Effect:
  • We minimize manual monitoring, speed up our response, and provide ready-made material for our managers instead of a list of headings.

AI audit of a digital profile (search/geo/neuro output)

With the advent of neural search and chatbots, constant monitoring and adjustment of your digital profile have become critical. AI responses in browsers and chatbots rely on your search "storefront" - what is visible on the first page, in geo-search and cards. More and more users are getting information from neural search, bypassing the original sources. Therefore, today it is important not just to be in the search results, but to actively monitor and manage your visibility. Our tool with built-in AI allows you to quickly and regularly monitor and adjust your profile.

What we are analyzing:
  • Classic search: the first pages of Google/Yandex, etc.
  • Geosearch: maps/local panels/“organizations nearby”.
  • Neurosearch: YandexGPT/Google AI Answers Overview
What we measure:
  • The tone of the publications; the authority of the sources; the proportion of technical/semantic materials.
  • Matching key messages with target positioning.
  • Relevance and accuracy of neurosearch responses; gaps/risks.

How we do it:
  • SERP/map/neuro response images by scenario and region.
  • AI classification and sentiment analysis + manual validation for recommendations.

Exit:
  • A short summary + a table of risks/opportunities.
  • A prioritized action plan (content, platforms, technical work, and PR).
Frequency and for whom:
  • Basic audit → monthly monitoring; for top officials, brands, and speakers.

Effect:
  • We manage visibility and meaning, and improve the quality and consistency of search and neurosearch results.

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