The marketer's new playbook for AI-powered competitive intelligence | MarTech

Competitive intelligence often relies on dashboards, weekly reports, and periodic review of competitor social activity. Many reports focus on what happened recently, using metrics like mentions, sentiment scores, and activity summaries after the fact. This approach is reactive and does not explain what is shifting, what is coming next, or how changes affect a brand. AI enables teams to reduce time spent collecting signals and increase time spent deciding actions. AI can track messaging shifts, customer sentiment changes, content strategy changes, and positioning gaps at scale. The key work is answering what the competitor’s moves mean for the brand, identifying where the brand is exposed, and determining where openings exist.

"What I've come to believe, and what's reshaping how I work with my clients, is that tracking competitors is the easy part. The work that actually moves the business is answering three questions every time you look at a competitor: What does this mean for us? Where are we exposed? Where's the opening? Those three questions are the whole job. Everything else is data collection."

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