ホームAIツールBrandwatch
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Brandwatch
Consumer intelligence from a decade of social conversation
0
保存数
Custom
最低料金
2007
公開日
Brandwatch (Cision)
開発元
Brandwatch
製品スクリーンショット

Brandwatchとは?

最終確認日: May 4, 2026 · AI Tools Set リサーチチームによる

Brandwatch is the enterprise standard for social listening: an archive of consumer conversation stretching back to 2010 across social networks, forums, reviews, and news, with AI that turns billions of posts into answers about your brand, market, and customers.

Its Consumer Research product lets analysts query that archive with surgical precision, brand sentiment shifts, emerging trends, campaign impact, crisis signals, with AI-powered Iris summarizing anomalies and drafting insights in plain language. Audience tools profile the communities discussing any topic; the social media management suite handles publishing, engagement, and advertising alongside listening, unified after its merger with Falcon.io. Data depth is the moat: full-archive access and enterprise-grade query language that lighter tools cannot approach.

Who is it for?

Brand, insights, and comms teams at large organizations, agencies running research for clients, and PR functions monitoring reputation at scale. SMBs sampling sentiment have cheaper options.

How much does Brandwatch cost?

Enterprise contracts, custom-priced by data volumes, seats, and modules via demo, a research-infrastructure investment rather than a team tool expense.

Our verdict

For serious consumer intelligence, Brandwatch's archive depth and query power remain best-in-class, and Iris makes that depth accessible beyond analyst specialists. It is priced like the enterprise research platform it is.

Brandwatchの主な機能

  • Full-archive listening: Conversation data back to 2010.
  • Iris AI insights: Anomalies explained automatically.
  • Audience profiling: Who is talking, and how.
  • Unified management: Publishing and engagement included.

Brandwatchの活用例

  • Track brand sentiment
  • Detect emerging trends
  • Measure campaign impact
  • Monitor crises early
  • Research consumer segments

メリット・デメリット

メリット
Unmatched data archive
Powerful query language
AI-summarized insights
Full suite breadth
デメリット
Enterprise pricing
Analyst learning curve

料金

最も人気
Enterprise
Custom
Module licensing
Data volume scoping
Onboarding & support
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