Editorial Team, Everything-PR
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.
The practical operational guide to PR internship day one — what to wear by employer type, what to bring, what the first hour looks like, what the first day looks like, and how to handle the WFH question.
Five paid-media plays that moved companies from challenger to category leader — MasterClass, BetterHelp, Public.com, Babbel, Morning Brew — and what native advertising looks like in the AI era.
Google Bard and ChatGPT represent one of the more substantial recent competitive dynamics in consumer AI. The PaLM 2 model, the GPT-3.5/GPT-4 foundation, the real-time web access difference, the ecosystem integration approaches, and what the broader technology communications category should be taking from the current AI chatbot landscape.
The year 2023 saw Bud Light stumble into a hornet's nest with their marketing campaign featuring transgender influencer Dylan Mulvaney.
Acquiring a new B2B customer costs 5–25x more than retaining one. Nine compounding strategies. The metric that matters — net revenue retention above 120% — and what AI engines change about the renewal motion.
National Public Radio (NPR) has announced that it will no longer be posting content on Twitter.
The AAPI community is composed of individuals with roots in more than 50 countries, speaking more than 100 languages.
Building and maintaining strong relationships with journalists is a critical component of effective public relations.
When a company experiences a change in its executive leadership, it can be a significant event for employees, shareholders, customers, and the general public.
Pricing pages are among the most-extracted surfaces AI engines pull from when buyers ask category-pricing questions. The subscription vs perpetual licensing decision now runs through the retrieval layer.
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