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

Market proximity

  1. 01

    Skincare

    86
  2. 02

    Skincare

    84
  3. 03

    Skincare · Suncare

    83
  4. 04

    Skincare

    80
  5. 05

    Skincare · Bodycare

    80
  6. 06

    Skincare

    80
  7. 07

    Skincare · Bodycare

    78
  8. 08

    Skincare · Suncare · Bodycare

    77
  9. 09

    Skincare · Bodycare

    77
  10. 10

    Skincare · Bodycare

    77

Brand affinity

  1. 01

    Skincare · Suncare

    82
  2. 02

    Skincare

    82
  3. 03

    Skincare

    78
  4. 04

    Skincare

    74
  5. 05

    Skincare

    71
  6. 06

    Skincare · Bodycare

    67
  7. 07

    Skincare · Bodycare · Fragrance

    65
  8. 08

    Skincare · Bodycare

    64
  9. 09

    Skincare · Bodycare

    64
  10. 10

    Makeup · Skincare · Bodycare · Fragrance

    62

Select a brand to see its competitive set.