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

Market proximity

  1. 01

    Haircare

    91
  2. 02

    Haircare

    86
  3. 03

    Haircare

    86
  4. 04

    Haircare · Bodycare · Fragrance

    84
  5. 05

    Haircare · Bodycare · Fragrance

    83
  6. 06

    Haircare · Bodycare · Fragrance · Home

    83
  7. 07

    Haircare · Bodycare · Fragrance

    83
  8. 08

    Haircare

    82
  9. 09

    Haircare

    82
  10. 10

    Haircare

    82

Brand affinity

  1. 01

    Haircare

    83
  2. 02

    Haircare

    77
  3. 03

    Haircare

    76
  4. 04

    Haircare · Bodycare · Fragrance

    74
  5. 05

    Haircare · Bodycare · Fragrance · Home

    71
  6. 06

    Haircare

    70
  7. 07

    Haircare

    70
  8. 08

    Haircare · Bodycare

    70
  9. 09

    Haircare

    69
  10. 10

    Haircare

    69

Select a brand to see its competitive set.