The problem
Competitive intelligence is often reactive and confirmation-biased. Your team sees competitors through the lens of your own strategy, missing non-obvious threats and alternative interpretations of market moves. A single AI gives you a surface-level SWOT that reads like a Wikipedia summary.
How Consium solves it
Consium assembles a competitive intelligence panel: a market analyst tracks positioning and share data, an industry strategist evaluates long-term plays, a product specialist assesses feature trajectories, and a contrarian challenges whether your competitive frame is even correct. The adversarial phase specifically tests whether you're overestimating your advantages or underestimating competitor capabilities.
Example walkthrough
Topic submitted:
How should we respond to our competitor's new AI-powered product launch?
- 1
Analysts frame the debate around product differentiation, market timing, customer switching costs, and technology trajectories.
- 2
A market analyst maps the competitive landscape and identifies three distinct response strategies with different risk profiles.
- 3
A product strategist argues that feature-matching is a trap — the real competitive advantage lies in your existing data moat.
- 4
Observers flag that the team's initial framing assumes the competitor's product is a direct threat, when it may actually expand the market.
- 5
Adversarial review reveals an underexplored partnership opportunity that reframes competition as potential collaboration.
Sample report excerpt
The competitor's AI launch targets a segment where our penetration is weakest (SMB self-serve), making direct competition suboptimal. Four of five personas recommended a "flank and elevate" strategy: accelerate enterprise features that competitors cannot easily replicate while monitoring SMB churn rates. Dissent: the market analyst argues that ceding SMB entirely creates a pipeline problem in 18-24 months as SMB customers grow into mid-market. Key finding: the competitor's pricing model is unsustainable at current AI inference costs, suggesting a 6-9 month window before they adjust upward.