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 · Suncare

Market proximity

  1. 01

    Skincare

    83
  2. 02

    Skincare

    80
  3. 03

    Skincare

    80
  4. 04

    Skincare · Suncare · Bodycare

    78
  5. 05

    Skincare

    76
  6. 06

    Skincare · Bodycare

    73
  7. 07

    Makeup · Skincare

    73
  8. 08

    Skincare · Bodycare

    72
  9. 09

    Skincare

    70
  10. 10

    Skincare · Bodycare

    69

Brand affinity

  1. 01

    Skincare

    83
  2. 02

    Skincare

    82
  3. 03

    Skincare

    81
  4. 04

    Skincare

    73
  5. 05

    Skincare · Bodycare

    72
  6. 06

    Makeup · Skincare

    69
  7. 07

    Makeup · Skincare · Bodycare · Fragrance

    66
  8. 08

    Skincare · Bodycare

    66
  9. 09

    Skincare

    63
  10. 10

    Suncare

    63

Select a brand to see its competitive set.