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

    88
  2. 02

    Skincare

    86
  3. 03

    Skincare

    84
  4. 04

    Skincare · Bodycare

    84
  5. 05

    Skincare · Bodycare

    84
  6. 06

    Skincare · Bodycare

    84
  7. 07

    Skincare · Bodycare

    83
  8. 08

    Skincare

    83
  9. 09

    Skincare · Suncare

    80
  10. 10

    Skincare · Bodycare

    80

Brand affinity

  1. 01

    Skincare

    87
  2. 02

    Skincare

    84
  3. 03

    Skincare

    82
  4. 04

    Skincare · Bodycare

    82
  5. 05

    Skincare · Suncare

    81
  6. 06

    Makeup · Skincare

    79
  7. 07

    Makeup · Skincare · Bodycare · Fragrance

    76
  8. 08

    Haircare · Bodycare · Fragrance

    76
  9. 09

    Skincare · Bodycare

    75
  10. 10

    Haircare · Bodycare · Fragrance

    74

Select a brand to see its competitive set.