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

Haircare · Bodycare · Fragrance

Market proximity

  1. 01

    Haircare · Bodycare · Fragrance

    87
  2. 02

    Haircare · Bodycare

    86
  3. 03

    Haircare

    84
  4. 04

    Haircare

    84
  5. 05

    Haircare

    82
  6. 06

    Haircare

    82
  7. 07

    Haircare

    82
  8. 08

    Haircare

    82
  9. 09

    Haircare · Bodycare · Fragrance

    82
  10. 10

    Haircare

    82

Brand affinity

  1. 01

    Haircare · Bodycare · Fragrance

    84
  2. 02

    Skincare · Bodycare

    84
  3. 03

    Haircare · Bodycare

    82
  4. 04

    Makeup · Skincare

    81
  5. 05

    Haircare · Bodycare · Fragrance

    81
  6. 06

    Makeup · Skincare · Bodycare · Fragrance

    80
  7. 07

    Skincare

    80
  8. 08

    Haircare

    79
  9. 09

    Makeup

    76
  10. 10

    Makeup · Skincare · Bodycare

    75

Select a brand to see its competitive set.