Cluny research

Cluny Brand Map

See how AI understands, connects and recommends consumer brands.

How the scores are built

For every pair of brands, two models each score the relationship on five dimensions from 0 to 100, using only what they already know. Web search is switched off, because the point is to measure how the models themselves understand the brand landscape. Cluny blends those readings into a single figure for each pair.

  • Customer overlap — 25%
  • Positioning and price — 20%
  • Aesthetic and cultural codes — 20%
  • Category and use-case adjacency — 20%
  • Distribution and retail adjacency — 15%

The five dimensions also split into two readings, each an unweighted average of its own dimensions, carried through the same blending so they sit on the same 0–100 scale:

  • Market proximity — positioning and price, category and use-case adjacency, distribution and retail adjacency
  • Brand affinity — customer overlap, aesthetic and cultural codes

Two brands can sit close on one and far apart on the other — sharing a customer and a cultural register while competing in different aisles, tiers or channels.

Competitive set

Skincare · Haircare · Bodycare

Market proximity

  1. 01

    Skincare · Bodycare

    88
  2. 02

    Skincare

    87
  3. 03

    Skincare

    87
  4. 04

    Skincare · Bodycare

    85
  5. 05

    Skincare · Bodycare

    85
  6. 06

    Skincare · Bodycare

    83
  7. 07

    Skincare · Bodycare

    82
  8. 08

    Skincare · Bodycare

    82
  9. 09

    Skincare · Bodycare · Fragrance

    81
  10. 10

    Skincare · Bodycare

    80

Brand affinity

  1. 01

    Skincare

    82
  2. 02

    Skincare · Bodycare

    78
  3. 03

    Skincare · Bodycare

    77
  4. 04

    Suncare

    77
  5. 05

    Skincare

    76
  6. 06

    Skincare · Bodycare

    76
  7. 07

    Haircare · Bodycare · Fragrance

    76
  8. 08

    Makeup · Skincare · Bodycare · Fragrance

    74
  9. 09

    Makeup

    74
  10. 10

    Skincare

    73

Select a brand to see its competitive set.