MarketLearn Evidence-based AI for business students
Built for business students

Evidence-based AI tools for stronger academic brand analysis.

MarketLearn is an evidence-based AI toolkit for business students. It helps students analyze brands faster, structure ideas more clearly, and build stronger coursework outputs grounded in references, frameworks, and academic-style reasoning rather than generic AI answers.

Try the CBBE Analyzer Explore the Toolkit
  • Designed for reports, case studies, presentations, and coursework in branding and marketing.
  • Structured around evidence, references, and established business frameworks.
  • Built to help students explain brand performance, not just generate surface-level text.
Start here

Begin with the CBBE Analyzer

MarketLearn currently leads with one flagship tool: a CBBE analysis experience designed to help business students interpret brand equity using Keller's framework, supported by clear explanations and usable evidence.

What students get from CBBE

Instead of a generic answer, the tool produces structured brand analysis with clearer score reasoning, references for academic work, and outputs that can support coursework, presentations, and case discussions.

  • Analyze all six levels of Keller's CBBE model with explained score drivers.
  • Use visual outputs to support presentations, tutorials, and class discussion.
  • Pull references into reports so the work feels grounded rather than invented.
Open CBBE Analyzer
What makes it different

MarketLearn is not positioned as ordinary AI output. Its purpose is to help students produce more evidence-aware, framework-based marketing analysis.

1st free analysis to begin exploring the tool
6 CBBE dimensions interpreted in a structured way
1 shared platform vision for future tools and credits
Built for coursework

How business students use MarketLearn

The platform is designed to help students move from raw brand information to more structured strategic thinking that can be used in academic outputs.

1

Brand Reports

Build stronger coursework by using structured brand analysis instead of starting from a blank page.

2

Case Study Prep

Use the framework output to identify where a brand is strong, weak, distinctive, or strategically vulnerable.

3

Presentations

Turn the analysis into visuals, clearer talking points, and evidence-based discussion for class presentations.

The toolkit

A growing suite of AI tools for brand and marketing work

CBBE is the lead live tool today. The broader MarketLearn suite is intended to support different kinds of brand and strategy analysis as the platform expands.

Live now

CBBE Analyzer

Evaluate brand equity with structured explanations, score drivers, visual outputs, and evidence-oriented references.

Launch tool
Coming soon

Brand Architecture Visualizer

Map relationships between master brands, sub-brands, endorsed brands, and product lines in a clearer strategic format.

Coming soon
Coming soon

Brand Elements Analyzer

Review names, logos, taglines, packaging, and other brand assets with a more structured marketing lens.

Coming soon
Coming soon

Brand Position Mapper

Compare a brand's claimed position against likely customer associations, competitors, and strategic whitespace.

Coming soon
Access model

Start free, then unlock more as the platform grows

MarketLearn is being built as a shared student toolkit. Start with a free analysis, then unlock additional analyses and future tools through a shared credit model as the platform develops.

Try CBBE

Evidence-aware outputs

The ambition is to help students work with references, frameworks, and structured logic rather than rely on unsupported generic output.

Academic usefulness

MarketLearn is intended to support case work, coursework drafts, revision, and presentation preparation in business education contexts.

Critical use still matters

Students should still evaluate outputs critically, cross-check evidence, and develop their own interpretation in academic work.