market-landscape-scan
Map a market's segments, players, substitutes, and whitespace with cited evidence. Use when entering or re-evaluating a market before sizing, positioning, or picking competitors to study.
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market-landscape-scan: AI Market Landscape Scanning Workflow
Skill Overview
market-landscape-scan (market landscape scanning) is an autonomous market intelligence workflow skill that uses 20–40 minutes to map out a market’s buyer segments, player landscape, funding and momentum dynamics, and whether market gaps are real. Every conclusion is labeled as a fact, inference, or assumption and accompanied by sources, providing a structured landscape view for market entry, product positioning, and in-depth competitive research.
Applicable Scenarios
Core Features
Frequently Asked Questions
How does it differ from an analyst quadrant?
A quadrant is a map drawn by an analyst firm for its own evaluation purposes. It typically excludes substitutes, lags behind emerging players, and uses segmentation criteria designed to “make ranking convenient” rather than “make decisions convenient.” Market landscape scanning uses a buyer-centric framework. Quadrants are treated only as sourced information, not as the analytical backbone.
How long does one run take, and what does the output look like?
A single run takes approximately 20–40 minutes. The output is a fixed-format six-section snapshot: scope, market segmentation, player map, funding and momentum dynamics, gaps and dead zones, and next-step recommendations (including hypotheses to validate). The fixed format enables direct comparison during quarterly rescans.
Can the scan’s conclusions be trusted and used directly for decision-making?
Every conclusion is labeled as a fact, inference, or assumption and accompanied by source links. The skill also requires a counterargument for every gap conclusion to avoid treating every open space as an opportunity. Its output is a structural view, not a market-size estimate. It is recommended that the “next steps” be handed off to TAM / SAM / SOM sizing and competitive research skills rather than treating the scan as a final deliverable.