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Food Insider

Marketing Channels
Websites
Playground →Docs

Food Insider's closest audience match is Postmates (0.78) — a restaurant delivery brand, not another food media property — and no other food-focused website appears in the top 10.

The shape here is flat: the top 10 neighbors span a similarity band from 0.78 down to 0.75, with no single entity pulling clearly ahead. Scores measure how closely two entities' audiences resemble each other in composition. The mix across those 10 neighbors is strikingly cross-kind: ZARA (0.78, Fashion), Mad Decent (0.78, Music), Ask Lyft (0.77, Travel), AJ+ (0.77, News Publishers), Insider (0.77, News Publishers), Lyft (0.77, Travel), Chase (social) (0.77, Finance), Robinhood (0.76, Finance), and Ramona Shelburne (0.75, Journalists). Food Insider's own subcategory — Websites — has no match in the top 10. The dominant subcategories are Finance (two neighbors), Travel (two neighbors), and News Publishers (two neighbors), alongside Fashion, Music, and a Journalist. That spread — ride-share brands, fintech apps, fashion labels, and news outlets all clustering at comparable strength — points to an audience defined less by food interest than by a broader urban, digitally-mobile profile that cuts across categories.

The flat, cross-kind shape suggests Food Insider's audience is a general-interest digital cohort whose food consumption is one facet of a wider, category-agnostic media and brand diet.

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": "insiderfood", "title": "Food Insider", "category": "Marketing Channels", "subcategory": "Websites", "resolved": "insiderfood", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "postmates", "title": "Postmates", "category": "Brands", "subcategory": "Restaurant", "similarity": 0.7844, "drivers": [ "N03", "P03", "I01", "G01", "A02" ] }, { "handle": "zara", "title": "ZARA", "category": "Brands", "subcategory": "Fashion", "similarity": 0.7841, "drivers": [ "I01", "P03", "N03", "E06", "A02" ] }, { "handle": "maddecent", "title": "Mad Decent", "category": "Brands", "subcategory": "Music", "similarity": 0.7824, "drivers": [ "I01", "E03", "N03", "A02", "G01" ] }, { "handle": "asklyft", "title": "Ask Lyft", "category": "Brands", "subcategory": "Travel", "similarity": 0.7738, "drivers": [ "N03", "I01", "P03", "G01", "E02" ] }, { "handle": "ajplus", "title": "AJ+", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.7736, "drivers": [ "I01", "E02", "A02", "G03", "G01" ] }, { "handle": "thisisinsider", "title": "Insider", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.7705, "drivers": [ "I01", "N03", "G01", "A02", "G03" ] }, { "handle": "lyft", "title": "Lyft", "category": "Brands", "subcategory": "Travel", "similarity": 0.7703, "drivers": [ "I01", "G01", "A02", "G03", "H02" ] }, { "handle": "chase_social", "title": "Chase (social)", "category": "Brands", "subcategory": "Finance", "similarity": 0.7677, "drivers": [ "N03", "I01", "A02", "E03", "E06" ] }, { "handle": "robinhoodapp", "title": "Robinhood", "category": "Brands", "subcategory": "Finance", "similarity": 0.7635, "drivers": [ "N03", "I01", "E06", "G01", "A02" ] }, { "handle": "ramonashelburne", "title": "Ramona Shelburne", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.7534, "drivers": [ "N03", "E03", "E02", "P03", "I01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: