Pattern matching across conversation signals
Surface pain points, objections, feature requests, tone of voice, hook types, emotions, narratives, visual styles, and more from real social posts without building a preset taxonomy.
Inteligência social com IA para analisar conversas reais
Buzzabout is an AI-powered social intelligence platform for marketers, product managers, agencies, and researchers. It analyzes large volumes of real conversations across platforms such as Reddit, TikTok, YouTube, Instagram, X, and LinkedIn to surface patterns, pains, and audience signals that can inform campaigns, positioning, and product decisions.
The product is built around pattern matching rather than predefined taxonomies. Users can ask a question, collect and classify posts, and review evidence-backed outputs that cite the mentions they come from. The platform also supports project-based workflows, listening agents, and plan tiers that range from individual use to business and enterprise teams.
Surface pain points, objections, feature requests, tone of voice, hook types, emotions, narratives, visual styles, and more from real social posts without building a preset taxonomy.
Turn a plain-language question into research-grade analysis grounded in real mentions, with cited source posts behind the results.
Analyze the full signal by tagging each post across structured dimensions such as topic, emotion, hook, narrative, tone, intent, CTA, sentiment, entities, and language.
Track market, competitor, and audience signals over time with listening agents, dashboards, and project views for brand strategy, benchmarking, and product research.
Export or integrate research outputs through CSV export, API access, webhooks, and MCP connectors on supported plans.
Add multiple listening agents, multiple projects, and higher research depth as plans scale, with Business and Enterprise supporting broader team usage.
Use the platform to test campaign angles, uncover pain points, and identify hook types, emotions, and narratives before writing ads or content.
Track share of voice, sentiment, volume shifts, and emerging topics around your brand or category with listening agents and dashboards.
Compare competitors by analyzing which hooks, themes, and objections are resonating in the market and where audience complaints cluster.
Support product teams by surfacing feature requests, frustrations, and objections from real users to inform roadmap prioritization.
Use the platform in agency workflows to manage multiple client projects, export research, and share evidence-backed findings with stakeholders.
Buzzabout analyzes real mentions from sources such as Reddit, YouTube, X, LinkedIn, TikTok, and Instagram. Its FAQ says the pattern-matching algorithm runs at 86–95% accuracy depending on the pattern type and sample size, and that every pattern is backed by sampled mentions you can click through.
A credit equals one mention retrieved, analyzed, and scored across any source. For audience research, billing is based on mentions returned rather than the query itself.
The free trial includes 500 credits to use over 3 days. If you do not convert, the account is downgraded to a read-only view so dashboards remain accessible.
Paid plans include Reddit, YouTube, X, LinkedIn, TikTok, and Instagram. Enterprise customers can also add private channels such as review sites, forums, Discord servers, and customer call transcripts through the data ingestion team.
Business adds unlimited projects and listening agents, API access, and a lower overage rate than Pro. Enterprise adds custom sources and agents, a dedicated customer success manager, SSO/SCIM, a security review pack, custom contract terms, and invoicing support.
Os dados de tráfego são apenas para referência.
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