American Express Audience Graph • Social Signal

The top 10 neighbors for American Express form a tight cluster of business and financial news publishers — no single neighbor dominates, and the scores span just 0.97 to 0.97 at the top, compressing into a narrow band across the full set.

The shape is flat: Bloomberg Businessweek leads at 0.98, followed closely by Bloomberg at 0.97, Financial Times Breaking News at 0.97, Reuters Business at 0.97, and Business Insider at 0.97. Six of the top 10 carry the News Publishers subcategory; the remaining four are Goldman Sachs (Finance, 0.97), Business Insider Tech (News Publishers, 0.97), Fortune (Magazines, 0.97), and World Economic Forum (Research Organizations, 0.97). The dominant subcategory is News Publishers, with business and financial titles — Bloomberg properties, Financial Times, Reuters — accounting for the core of the cluster. Magazines oriented toward business and entrepreneurship (Fortune, and further down Forbes, WIRED) fill out the periphery. Goldman Sachs is the only Finance brand in the top 10 that shares American Express's own subcategory, and it sits at 0.97 — indistinguishable in score from the news publishers around it.

Notably absent from the top 10 are other payment networks, retail brands, or consumer lifestyle properties; the entire cluster is oriented around financial and business media, with World Economic Forum as the lone non-media, non-finance entry.

The flat shape signals an audience defined less by any single affinity and more by a consistent orientation toward professional financial and business information.

Machine-Readable

Raw data

Attention graph /similar sample results (free):

https://graphs.socialsignal.ai/similar/americanexpress

{ "handle": "americanexpress", "title": "American Express", "category": "Brands", "subcategory": "Finance", "resolved": "americanexpress", "k": 10, "shape": "flat", "filter": null, "results": [ { "handle": "bw", "title": "Bloomberg Businessweek", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9764, "drivers": [ "A02", "G01", "G03", "J02", "I01" ] }, { "handle": "business", "title": "Bloomberg", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9735, "drivers": [ "A02", "G01", "G03", "J02", "A01" ] }, { "handle": "financialtimes", "title": "Financial Times Breaking News", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9731, "drivers": [ "A02", "G01", "G03", "J02", "I01" ] }, { "handle": "reutersbiz", "title": "Reuters Business", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9703, "drivers": [ "A02", "G01", "J02", "G03", "A01" ] }, { "handle": "businessinsider", "title": "Business Insider", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9698, "drivers": [ "A02", "G01", "G03", "J02", "I01" ] }, { "handle": "goldmansachs", "title": "Goldman Sachs", "category": "Brands", "subcategory": "Finance", "similarity": 0.969, "drivers": [ "A02", "G01", "J02", "G03", "I01" ] }, { "handle": "sai", "title": "Business Insider Tech", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.968, "drivers": [ "A02", "G01", "G03", "A01", "J02" ] }, { "handle": "fortunemagazine", "title": "Fortune", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.968, "drivers": [ "A02", "G01", "G03", "J02", "A01" ] }, { "handle": "wef", "title": "World Economic Forum", "category": "Organizations", "subcategory": "Research Organizations", "similarity": 0.9666, "drivers": [ "A02", "G01", "G03", "A06", "J02" ] }, { "handle": "theeconomist", "title": "The Economist", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9656, "drivers": [ "A02", "G01", "G03", "I01", "A01" ] } ] }

Full Attention graph /similarity /affinity /demographics available with API key:

https://graphs.socialsignal.ai/v1/attention/similar/americanexpress

American Express

Nearest neighbors by audience shape

Raw data