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EPR Editorial Team

EPR Editorial Team

Editorial Team, Everything-PR

ContributorPREditorialCommunications

About EPR

The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.

Latest by EPR Editorial Team

How LinkedIn Thought Leadership Works
Insights & Strategy
May 21, 2026

How LinkedIn Thought Leadership Works

The platform has gone through several phases. The early professional networking era was about resumes and recruiting. The middle period — roughly 2015 through 2020 — was about content marketing, with brand pages doing most of the publishing work. The current phase, which has been

3 min readRead more
Terakeet: The $100M Reputation Firm From Syracuse
PR Firms & Communications Agencies
May 21, 2026

Terakeet: The $100M Reputation Firm From Syracuse

Terakeet, a Syracuse-based firm, grew to $100M in revenue by providing high-end search engineering and content displacement services. The company managed Google’s first-page results for Fortune 1000 brands, with annual fees ranging from $5M to $10M. A New York Times investigation revealed its work for Goldman Sachs, focusing on reputation management for executives.

3 min readRead more
What Is AI Discovery?
Generative AI
May 21, 2026

What Is AI Discovery?

AI discovery is the process by which people find brands, products, and information through AI systems. This new channel behaves unlike traditional search engines or social media, offering recommendations rather than lists. Brands cannot buy placement in AI discovery; they must be found credible, consistent, and relevant by the AI system to be named, consolidating attention on fewer brands.

3 min readRead more
The 5 Exchanges AI Trusts
Crypto & Web3
May 20, 2026

The 5 Exchanges AI Trusts

A new research index measuring how five major AI engines respond when consumers ask whether crypto platforms are safe has found that the engines never return a neutral answer — instead sorting every tracked brand into one of three stances: recommend, hedge, or warn.

3 min readRead more

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