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Yelp

Brands
Technology
Playground →Docs

Yelp's top 10 nearest neighbors span travel brands, tech publications, productivity tools, and actors — a mix that resists any single label and reflects the flat shape of this audience cluster.

The scores compress into a narrow band, from Airbnb at 0.94 down to Dribbble at 0.92, with no single neighbor pulling significantly ahead of the rest. That compression is the structural finding: no one entity dominates, and the audience shape is broadly shared across a wide range of subcategories. Tallying the top 10 by subcategory: Technology brands appear twice (Dropbox at 0.94, Notion at 0.93), Travel brands twice (Airbnb at 0.94, Uber at 0.94), Websites twice (The Verge at 0.94, Codecademy at 0.93), and Blogs once (Gizmodo at 0.93). The remaining three positions go to an Actor (Kal Penn at 0.93), a Magazine (Engadget at 0.92), and a catch-all Other brand (Dribbble at 0.92). Yelp's own subcategory — Technology — accounts for only two of the ten neighbors, meaning the audience shape is defined less by tech-brand affinity than by a cross-category mix of digital media, ride-share and travel platforms, and productivity tools.

The presence of Kal Penn at 0.93 — the only celebrity in the top 10 — alongside travel and tech brands points to an audience that is cosmopolitan and digitally fluent rather than narrowly product-focused.

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": "yelp", "title": "Yelp", "category": "Brands", "subcategory": "Technology", "resolved": "yelp", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "airbnb", "title": "Airbnb", "category": "Brands", "subcategory": "Travel", "similarity": 0.9422, "drivers": [ "G01", "G03", "A02", "A06", "I01" ] }, { "handle": "dropbox", "title": "Dropbox", "category": "Brands", "subcategory": "Technology", "similarity": 0.9384, "drivers": [ "A06", "G03", "G01", "A02", "E06" ] }, { "handle": "uber", "title": "Uber", "category": "Brands", "subcategory": "Travel", "similarity": 0.9374, "drivers": [ "G01", "G03", "A02", "E06", "I01" ] }, { "handle": "verge", "title": "The Verge", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.9366, "drivers": [ "G01", "G03", "A02", "A06", "I01" ] }, { "handle": "gizmodo", "title": "Gizmodo", "category": "Marketing Channels", "subcategory": "Blogs", "similarity": 0.9339, "drivers": [ "G01", "G03", "A02", "I01", "E06" ] }, { "handle": "notionhq", "title": "Notion", "category": "Brands", "subcategory": "Technology", "similarity": 0.9324, "drivers": [ "G03", "G01", "A06", "E06", "A02" ] }, { "handle": "codecademy", "title": "Codecademy", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.9311, "drivers": [ "G01", "G03", "E06", "A06", "A02" ] }, { "handle": "kalpenn", "title": "Kal Penn", "category": "Celebrities and Influencers", "subcategory": "Actors", "similarity": 0.9304, "drivers": [ "G03", "G01", "A02", "E06", "I01" ] }, { "handle": "engadget", "title": "Engadget", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.9225, "drivers": [ "G01", "G03", "A02", "A06", "E06" ] }, { "handle": "dribbble", "title": "Dribbble", "category": "Brands", "subcategory": "Other", "similarity": 0.9221, "drivers": [ "G03", "G01", "A06", "A02", "I01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: