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
#110 of 115
Traditional SaaS Going Headless
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.
Muck Rack
Zeta
Meltwater
HighLevel
StackAdaptSamsung, Uber, IKEA, H&M, GSK, Carlsberg, Stanford University, OLX
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Business Profile
Brand24 started in 2011 as a social-listening tool built by four students in Wrocław, Poland, and grew into a media-monitoring platform serving thousands of brands across more than 150 countries. It debuted on Poland's NewConnect market in 2018, then graduated to the Warsaw Stock Exchange main board in 2021. In 2024, Prowly — the media-relations software business under Semrush — acquired a majority stake, with a full buyout of the remaining public float proposed in 2025; Brand24 continues trading and operating as a stand-alone product under that ownership, with revenue growing 27% year-over-year on a roughly $9M base and a public market cap near $36M.
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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