Competitive landscape
Benchmark every player on the same standardized grid.
The competitive landscape module is a dataset grid: players down one axis, fields across the other. The point of the grid is comparability: every player is assessed on the same dimensions, so the landscape reads as one dataset instead of a patchwork of individually-written profiles.
Fields
The grid ships with default fields covering the standard CDD questions, who the player is, how it's positioned, how it competes. You extend it with custom fields for whatever makes this market different: pricing model, regulatory posture, channel mix, NPS.
Fields are typed, so entries stay consistent across players: a field is a number, a category, or a text assessment, and every player answers it the same way.
Players and data
Add the players that matter for the deal question: usually the target's direct competitive set plus reference players that frame the market. Each cell in the grid can carry its source: where the assessment came from, whether that's a filing, a report, an expert call, or your own judgement.
Reading the landscape
Because the grid is standardized, the analysis falls out of it naturally: archetypes emerge from the positioning fields, relative strength from the benchmarking fields, and gaps in the grid show you exactly what still needs research.
The agent way
An agent connected over MCP can propose the field set for your market, research the players, and populate the grid with cited entries, with judgment calls flagged for you rather than guessed. "Benchmark the top 8 players on pricing model and NPS" is one ask, not an afternoon.