For marketers and agencies monitoring brand reputation, Brand24 is a social-listening platform that tracks mentions across social media and the web, surfacing sentiment and conversation trends in one dashboard.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Brand24 positions itself as a social listening platform, using AI to track brand mentions and sentiment across social media, news, blogs, video, forums, and reviews, and its more recent build-out extends that tracking into how brands appear inside AI-generated answers alongside traditional search and social. The brand carries an established presence in the conversation, weighted toward practitioner use: comparisons with adjacent listening and mention-tracking tools, discussion of maintaining personal and company positioning as something to actively monitor, and AEO-era conversation about how brands show up across language models. Video explainers and other content-marketing formats also appear alongside it.
Meltwater
Zeta
Muck Rack
Salesforce
HubSpotSamsung, Uber, IKEA, H&M, GSK, Carlsberg, Stanford University, OLX
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Business Profile
Brand24 started in Wrocław, Poland in 2011, when founder Michał Sadowski built a mid-market alternative to enterprise media-monitoring tools. The company grew without traditional venture funding, listing on Warsaw's NewConnect exchange in 2018 and moving to the main Warsaw Stock Exchange (ticker B24) in 2021. In April 2024, Semrush acquired a 57.6% stake from Brand24's founders and early investors for roughly $13.7M, while the company continues to trade publicly on the WSE. Brand24 now runs with about 95 employees, serving several thousand brands and agencies, and reported $9M in FY24 revenue, up 27% year over year.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Brand24 ships a public MCP server, connecting its social listening project data directly to AI assistants including ChatGPT, Claude, Gemini, and MCP-compatible tools like Cursor and Copilot. Through OAuth-authenticated live queries, an agent can pull project summaries, discussion trends, influencer activity, sentiment, and source-level mention data on demand rather than a cached snapshot. No public API, SDK, or CLI is on file yet beyond the MCP server; the build-out so far centers on natural-language agent queries into existing data.
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