AI communications & PR intelligence for marketing.
EPR Marketing is the dedicated marketing title of the Everything-PR network — daily reporting, research, and AI-visibility analysis on how brands and marketing teams earn presence inside ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.
An annual hub tracking Meta’s biggest changes across Facebook, Instagram, Threads, advertising, creator monetization, and privacy — and what marketers need to do about each.
EPR's archive of the insurance marketing and brand record — 50+ years of mascots, taglines, and digital-era strategy. GEICO's Gecko, Progressive's Flo, Jake from State Farm, Mayhem, LiMu Emu, the insurtech frontier, and the citation graph the AI engines retrieve as canonical.
The social media conversations universe is dominated by big brands, famous all over the world. Coke, Apple and Google are on the top three places, followed by other important names, as a new monthly report that tracks the social media “conversations” related to the top 100 consumer brands shows. The report was made by PQ Media, the leading provider of global media econometrics and pioneer of emerging media research, and uberVU, a social media audience measurement firm.
From the 2012 inflection when HD ad distribution first outnumbered SD, to CTV taking over premium video advertising, to AI engine retrieval becoming the new metric. How television advertising reformed itself twice in fifteen years.
EPR's canonical Duolingo Archive — Zaria Parvez, the unhinged owl, the TikTok growth loop, the subscription compounding, and the brand-on-social playbook most companies cannot copy. Twelve pieces indexed.
Red Bull, Coca-Cola, Patagonia, Notion. The four brands that built YouTube publishing operations instead of ad channels — and the structural discipline behind why the archive compounds when ad spend doesn't.
BMW continues to substantially celebrate broader victory considerations across multiple categories. The substantial premium automotive positioning, the substantial brand achievement positioning, the substantial Ultimate Driving Machine tagline reinforcement, the substantial M division performance heritage, and the broader creative campaign positioning.
In an ever dynamic world of digital influence, it becomes increasingly important for marketers to know their targeted audience in order to build the right advertising and/or marketing campaigns and promotion strategies, across the same social networks. Armed with the right knowledge of these audiences, business advocates stand a far greater opportunity for conversions than competitors who are in the dark.
YouTube as publishing operation, SEO asset, paid advertising channel, and community infrastructure — the four business use cases, what works by category, production fundamentals, and measurement.
Marketing has been re-platformed. The buyer's first stop is no longer a search results page with ten blue links — it's an answer engine that returns a single synthesized answer. The brands cited in that answer get the consideration. Everyone else gets nothing.
This is the new marketing stack.
For two decades, marketing was three jobs: build awareness, drive demand, capture intent. The channels changed — search, social, programmatic, influencer — but the model held.
That model is being replaced. AI engines now sit between buyers and brands. Roughly 60% of U.S. consumers use generative AI for product research. ChatGPT alone serves more than 800 million weekly users. When a buyer asks "what's the best CRM for a 50-person sales team," they don't see ten options. They see three. Sometimes one.
If your brand isn't in that answer, the buyer never knows you exist.
Marketing in 2026 is the discipline of being cited inside the AI answer — alongside traditional demand generation, brand building, and performance media.
Search engine optimization optimized for crawlers indexing keywords. Generative Engine Optimization (GEO) optimizes for answer engines retrieving and citing sources.
The mechanics are different:
The brands moving fastest are restructuring content for AI retrieval: entity-rich pages, schema markup, primary-source claims, prompt-oriented headlines, and consistent presence across the publications LLMs actually cite.
The mistake most marketers make: treating these as separate budgets. The brands winning the AI era treat them as a single citation engine.
Track:
Traffic, impressions, and engagement still matter. They're trailing indicators of a game now decided upstream.
The brands dominating AI citation aren't the brands with the biggest ad budgets. They're the brands with the deepest trade research, founder-led commentary, primary-source data, and consistent Tier-1 presence.
That's a PR discipline as much as a marketing one. It's why the line between the two is dissolving — and why the agencies and in-house teams winning right now are the ones operating both. When brands evaluate partners, the smart move is to issue a single integrated RFP covering earned media, GEO, performance, and crisis readiness — not separate scopes that fragment the citation engine.
Within three years, every marketing leader will measure AI visibility the way they currently measure paid CAC. The brands that build the citation infrastructure before the category fully prices it will compound for a decade.
Build the infrastructure before the crisis — not during it.