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buzzabout

Social intelligence across Reddit, TikTok, YouTube, X and LinkedIn with no predefined taxonomies

paidStarter is $50 per seat/month, or $40/month on yearly billing (saving $120), giving a $50 monthly balance at $0.02 per mention, 1 listening agent, 1 project, webhooks and 250 mentions per research. Pro is $150 per seat/month, or $100/month yearly (saving $600), giving a $150 balance at $0.015 per mention, 3 listening agents, 3 projects, 1,000 mentions per research, MCP connectors, custom date ranges, multi-source researches, CSV export and audience research. Business is $350 per seat/month, or $250/month yearly (saving $1,200), giving a $350 balance at $0.007 per mention with unlimited listening agents and projects plus API access. Enterprise is custom-priced with 10,000+ mentions per research, custom-built agents, a dedicated CSM, SSO and a custom contract and DPA. A free trial is offered on all self-serve tiers. Separate agency (30% commission), creator (50% off for 12 months) and education programmes are published.View full pricing →

Visit buzzabout

https://buzzabout.ai

About buzzabout

buzzabout is a social-intelligence platform that pattern-matches across billions of public posts on Reddit, TikTok, YouTube, Instagram, X and LinkedIn, and its structural bet is that you should not have to define a taxonomy in advance. Conventional social listening makes you declare the categories you care about and then counts mentions against them. buzzabout runs the analysis with zero predefined taxonomies, claiming 90% accuracy on up to 100,000 mentions per analysis, and lets the clusters emerge — pain points, objections, feature requests, tone of voice, hook types, emotions, narratives, visual styles, questions. You then interrogate the result in plain language, and every answer cites the specific posts it was drawn from, which is the difference between a dashboard number and something you can put in front of a client. Around the analysis sit listening agents that keep watching a topic, projects for organising work, a mentions library, and a snippets store for the passages you want to keep. Output goes out via CSV export, webhooks and, on higher tiers, MCP connectors and an API — the MCP support in particular means the corpus is addressable from an agent rather than only from the web app. Pricing is metered by mention rather than by seat volume, so the per-mention rate falls as the plan rises. The vendor reports 15,000+ marketers, agencies and brands, a Product Hunt #1 Product of the Day, and Google for Startups backing.

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Key Features

Pattern analysis with zero predefined taxonomies
Every AI answer cites the source posts it drew from
Persistent listening agents on chosen topics
MCP connectors and API access on higher tiers
Six platforms including Reddit, TikTok and LinkedIn
Per-mention metering rather than per-seat only

Tags

social-listeningmarket-researchredditmcpaudience-research
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