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How to Leverage AI for Competitive Intelligence

Competitive intelligence (CI) teams need to stay informed on every market-moving event and trend that affects their competitive landscape, as well as continuously monitor their peers and key industry players. But in the age of information overload, achieving this objective is nearly impossible.

The issue? CI teams are still relying on antiquated research methods and the same lagging indicators they’ve used since the advent of the internet. Likewise, they are not taking advantage of new AI technology that speeds up and streamlines finding insights. A strategic approach that is reactive, rather than proactive, leaves room for blind spots and, consequently, poor business decisions.

In this whitepaper, you’ll learn:

  • The top challenges competitive intelligence teams face today
  • What solutions are available to overcome these common CI obstacles
  • Why AlphaSense is the leading solution for collecting competitive intelligence

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AlphaSense a Leader in the 2026 Gartner® Magic Quadrant™ for Competitive & Market Intelligence Platforms

AlphaSense was named a Leader in the inaugural Gartner® Magic Quadrant™ for Competitive and Market Intelligence (CMI) Platforms, positioned highest on Ability to Execute and furthest on Completeness of Vision. We believe this validates AlphaSense's strategic direction and commitment to innovation within the competitive and market intelligence space.
Gartner Magic Quadrant chart from April 2026, positioning AlphaSense as a leader in completeness of vision and ability to execute.

Top AI Use Cases for Corporate Development

In this report, learn how the most successful corporate development teams are using platforms like AlphaSense to better source ideas, build conviction, and generate defensible recommendations.
Blue blueprint-style illustration: 'Top AI Use Cases for Corporate Development' by Sean Carmichael. Features a briefcase, currency symbols, and abstract designs.

The AI Playbook for Earnings Season

Discover the workflows teams rely on during earnings season to overcome data overload, information bottlenecks, and blind spots, surfacing the key metrics and intelligence they need to make confident decisions with speed.
A blue isometric illustration for "The AI Playbook for Earnings Season" by Barb Tague, showing financial reports, an hourglass, and charts.

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