competitive-positioning

To build an investor-ready competitive landscape, provide your pitch deck or document to analyze competitors and map them across direct, adjacent, do_nothing, and emerging categories. It outputs structured artifacts like landscape.json and report.md to support fundraising readiness.

Moat scoring evaluates your startup's defensive advantages against identified competitors. It analyzes your competitive landscape and generates structured moat_scores.json files, producing a narrated investor-ready story that validates alignment with your deck claims.

Yes, you can use conversation inputs, decks, or documents to perform competitive analysis. The process operates from these varied inputs to identify competitors, map axes, and emit canonical artifacts like positioning.json and landscape.json for investor readiness.

To validate deck claims alignment, the competitive positioning process analyzes your provided deck and cross-references your narrative against the mapped landscape and moat scores. It enforces run_id provenance and governance gates to ensure consistent fundraising readiness.

The best way to score moats for fundraising readiness is to map 5-7 competitors across defined categories and evaluate their defensive advantages. This generates canonical moat_scores.json and positioning.json artifacts, returning a coaching payload after post-compose steps.

Automated competitive landscape mapping requires clear deck, document, or conversation inputs to accurately identify 5-7 competitors. It relies on provided context to generate structured artifacts and coaching payloads, meaning ambiguous inputs may limit the precision of the moat scoring.