Online Brand Monitoring

Effective online brand monitoring starts with where you collect, not how you analyse. Nebula pulls from Telegram channels and chats, TikTok, X, YouTube, Reddit, regional forums and fringe news domains — the emerging media most platforms treat as out of scope. Our joint research with Edelman on the TOP 100 global brands found the majority of reputational threats surfacing first on exactly these channels.

Sentiment breaks the moment you machine-translate it. Sarcasm, local slang and political coding disappear, and a hostile post reads neutral. Nebula’s models analyse content in the original language across 30 of them, so a Polish idiom and a Portuguese one are both read correctly. For brand monitoring companies operating across a dozen markets, this removes the need for a native analyst per region.

A mention count tells you volume. It does not tell you the story. Nebula groups incoming posts into narratives — usually three or four behind any surge — and tracks momentum for each one separately. Communications teams then respond to the version that is spreading rather than to the loudest individual account. Sentiment sits underneath every cluster, split by language and region.

Alerts fire on thresholds you define: mention velocity, narrative emergence, executive-name spikes, coordination scores. They route into Slack, email or your SIEM, and dashboards stay shared between comms and security so both teams argue from the same numbers. The full dataset is available programmatically for teams running online brand monitoring inside their own analytics stack.