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Cartier

Brands
Fashion
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Cartier's top 10 nearest neighbors are entirely Fashion brands — a same-kind cluster with no cross-category intrusions, and scores that stay elevated across all ten positions.

Similarity here measures how closely two entities' audiences resemble each other in composition. Bulgari leads at 0.96, the strongest pull in the set and the only neighbor above 0.91. From there the scores descend gradually: Valentino at 0.91, Roberto Cavalli at 0.91, Christian Louboutin at 0.89, and Givenchy at 0.89. The remaining five — Saint Laurent (0.88), Lacoste (social) (0.87), Dior (social) (0.87), Jimmy Choo (0.87), and PRADA (0.86) — hold within a tight band. That narrow spread across ten neighbors is the defining structural feature: no single entity dominates, and no outlier disrupts the cluster. Every neighbor shares Cartier's own subcategory — Fashion — which means the audience shape here is defined almost entirely by its own kind, not by adjacent categories like media, retail, or entertainment that appear further out in the broader graph.

The broad shape with a uniformly high floor signals an audience that overlaps densely with the luxury and designer fashion space as a whole, rather than clustering tightly around any one brand or sub-niche within it.

Nearest neighbors by audience shape

Cosine similarity over Persona Live audience composition.
"Entities whose overall audience profile most closely matches this one — people who follow one tend to follow the other."

Raw data

Attention graph /similar sample results  (free):
{ "handle": "cartier", "title": "Cartier", "category": "Brands", "subcategory": "Fashion", "resolved": "cartier", "k": 10, "shape": "broad", "filter": null, "results": [ { "handle": "bulgariofficial", "title": "Bulgari", "category": "Brands", "subcategory": "Fashion", "similarity": 0.9581, "drivers": [ "J02", "I01", "E06", "G01", "Q01" ] }, { "handle": "maisonvalentino", "title": "Valentino", "category": "Brands", "subcategory": "Fashion", "similarity": 0.9099, "drivers": [ "J02", "I01", "Q01", "E06", "G01" ] }, { "handle": "roberto_cavalli", "title": "Roberto Cavalli", "category": "Brands", "subcategory": "Fashion", "similarity": 0.9077, "drivers": [ "J02", "I01", "Q01", "E06", "E04" ] }, { "handle": "louboutinworld", "title": "Christian Louboutin", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8912, "drivers": [ "J02", "I01", "G01", "Q01", "E06" ] }, { "handle": "givenchy", "title": "Givenchy", "category": "Brands", "subcategory": "Fashion", "similarity": 0.89, "drivers": [ "I01", "J02", "G01", "E06", "Q01" ] }, { "handle": "ysl", "title": "Saint Laurent", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8773, "drivers": [ "J02", "I01", "G01", "Q01", "E06" ] }, { "handle": "lacoste_social", "title": "Lacoste (social)", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8677, "drivers": [ "J02", "I01", "O04", "Q02", "Q01" ] }, { "handle": "dior_social", "title": "Dior (social)", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8665, "drivers": [ "J02", "I01", "Q01", "E06", "O04" ] }, { "handle": "jimmychoo", "title": "Jimmy Choo", "category": "Brands", "subcategory": "Fashion", "similarity": 0.866, "drivers": [ "J02", "Q01", "I01", "G01", "O04" ] }, { "handle": "prada", "title": "PRADA", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8588, "drivers": [ "J02", "Q01", "I01", "N03", "G01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: