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ScoreCard 2.0
Paused · superseded by Scorecard v3For: Mambo Marketing
AI marketing-maturity assessment: upload company docs, get a scored 15-channel report with recommendations.
No live URL — paused in maintenance mode, feature work moved to Scorecard v3

What it does
How it works.
A consultant creates a company profile, uploads client marketing materials, and triggers an assessment job. The backend parses the documents (LlamaParse), builds an OpenAI vector store, scores roughly 130 tactics across 15 marketing/sales channels using LLM assessment plus Perplexity web research, and produces a scorecard with an overall maturity score, quick-win and strategic recommendations, and a competitive-landscape view. Active feature work has moved to Scorecard v3, in the same GCP project.
- 01Ingests uploaded company documents (PDF/DOCX/XLSX/CSV) and parses them via LlamaParse
- 02Runs an LLM assessment pipeline per tactic combining vector search with Perplexity web research
- 03Aggregates tactic scores into channel and overall maturity scores (0-100 scale)
- 04Tracks competitive landscape (auto-detected and manually-tracked competitors)
Screenshot walkthrough
How to use ScoreCard 2.0.



Current status & what's next
Where it stands.
Paused · superseded by Scorecard v3
No further phases planned.
Stack
Built with.
Next.js 16 App RouterFastAPI + SQLAlchemyPostgreSQL/SQLiteOpenAI + Perplexity + LlamaParseFirebase AuthLet's build what's next
Want ScoreCard 2.0 working for you?
AI marketing-maturity assessment: upload company docs, get a scored 15-channel report with recommendations.
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Scorecard v3 — The Living Scorecard