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The top 10 neighbors span six different subcategories — Social Media, Technology, Websites, Magazines, Professionals, and Restaurant — with no single kind dominating the set. That breadth is the defining structural fact here.

The shape is broad, and the scores confirm it: Twitter leads at 0.90, followed closely by Google at 0.88, Tumblr at 0.88, and Entertainment Weekly at 0.87. The gap between first and tenth — IMDb at 0.84 — is only six points, meaning no single neighbor pulls away from the pack. This is a mass-market audience shape: many entities across many categories achieve near-equivalent overlap.

The subcategory mix is notably cross-kind. Only Twitter shares Facebook's own Social Media subcategory in the top 10. The remaining nine neighbors are Technology (Google, Google Maps), Websites (Tumblr, IMDb), Magazines (Entertainment Weekly), Professionals (Scooter Braun), Music (Spotify for Artists), News Publishers (China Xinhua News), and Restaurant (Grubhub). The presence of a food delivery service and a state news outlet alongside a fashion-adjacent music platform signals an audience that doesn't cluster around any single content vertical — it simply reflects the general internet-using public at scale.

The broad shape, compressed score range, and subcategory diversity together describe an audience with no strong niche signature.

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": "facebook", "title": "Facebook", "category": "Brands", "subcategory": "Social Media", "resolved": "facebook", "k": 10, "shape": "broad", "filter": null, "results": [ { "handle": "twitter", "title": "Twitter", "category": "Brands", "subcategory": "Social Media", "similarity": 0.899, "drivers": [ "E06", "N03", "Q08", "G01", "G03" ] }, { "handle": "google", "title": "Google", "category": "Brands", "subcategory": "Technology", "similarity": 0.8816, "drivers": [ "E06", "G01", "A06", "G03", "G02" ] }, { "handle": "tumblr", "title": "Tumblr", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.8755, "drivers": [ "G01", "E06", "G03", "I01", "A02" ] }, { "handle": "ew", "title": "Entertainment Weekly", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.8679, "drivers": [ "G01", "E06", "G03", "I01", "A02" ] }, { "handle": "scooterbraun", "title": "Scooter Braun", "category": "Celebrities and Influencers", "subcategory": "Professionals", "similarity": 0.8569, "drivers": [ "E06", "G01", "G03", "A02", "I01" ] }, { "handle": "googlemaps", "title": "Google Maps", "category": "Brands", "subcategory": "Technology", "similarity": 0.8459, "drivers": [ "E06", "A06", "Q08", "G02", "Q01" ] }, { "handle": "spotifyartists", "title": "Spotify for Artists", "category": "Brands", "subcategory": "Music", "similarity": 0.8454, "drivers": [ "E06", "G03", "G01", "I01", "A02" ] }, { "handle": "xhnews", "title": "China Xinhua News", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.8386, "drivers": [ "E06", "A06", "G01", "G03", "A02" ] }, { "handle": "grubhub", "title": "Grubhub", "category": "Brands", "subcategory": "Restaurant", "similarity": 0.8383, "drivers": [ "G01", "E06", "A02", "G03", "I01" ] }, { "handle": "imdb", "title": "IMDb", "category": "Marketing Channels", "subcategory": "Websites", "similarity": 0.8371, "drivers": [ "E06", "G03", "I01", "G01", "Q01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: