As AI search and answer engines increasingly shape how consumers discover brands, visibility is no longer driven by traditional SEO alone but by what’s being called “citation share”—how often and how credibly a brand is referenced across trusted sources. This shift is changing how brands appear in AI-generated results, and in some cases, whether they appear at all. Ronn Torossian, founder and chairman of 5W, explores why this new layer of visibility is becoming essential in today’s marcomms landscape.
The American consumer most worth winning is no longer on Google.
A Data for Progress poll released in February 2026 found a 99-point gap between daily AI users (+57 favorable on AI) and rare or never users (−42). It is the strongest behavioral predictor of consumer attitudes in the country — stronger than party, race, gender, or age by a 3-to-1 margin.
The cohort on the positive side of that gap — Power Users — are higher-income, higher-intent, and they do not search the way the rest of America still does. They open ChatGPT, Claude, Perplexity, or Gemini, ask a question, and trust the answer that comes back.
For brand teams, this is the single most consequential shift in the marketing function since Facebook's ad platform reshaped media buying in 2010. And most agencies and marketing departments have not adjusted.
SEO Ranks Pages. AI Engines Surface Brands.
The mechanics are different in a way most brand and marketing leaders have not fully internalized.
SEO is a competition for placement on a results page. AI engine retrieval is a competition for entity authority — the depth, breadth, and structure of citations that condition the engine to surface your brand inside a generated answer. SEO is keywords. Citation Share is reputation, infrastructure, and earned media weight.
This is why traditional digital marketing teams are not the right unit to lead this work. Citation Share is built through original research, third-party authoritative coverage, structured primary-source citations, and the kind of editorial and trade press placements that have always been the province of communications, not paid media.
In other words: the visibility battle of the next decade is a PR battle. And most PR firms are not built for it.
The Inflection Point
Pew Research data shows 31% of American adults now interact with AI several times daily, up from 22% just two years ago. Harvard economists calculate that generative AI hit 39.4% of U.S. adults in two years — faster adoption than either the internet or the personal computer.
The retrieval signals AI engines reward are built over time. They harden. A brand that establishes Citation Share in 2026 owns a defensible position in 2028. A brand that waits until 2027 spends 5x to 10x to win the same retrieval real estate — because by then the entity graph has consolidated around the brands that moved first.
This is the entry-cost mechanic of every previous communications revolution. The brands that built social audiences in 2009–2011 own the franchises today. The brands that arrived in 2015 paid 50x the customer-acquisition cost to compete on the same terms. AI engines are reproducing the same dynamic — faster.
What Communications Teams Should Be Doing Now
Three things, in order:
One: Quarterly Citation Share audits. Identify the top 50 prompts your category's Power Users are running. Measure where your brand appears, where it doesn't, and which competitors are dominating the retrieval real estate. Most brands have never done this exercise. The ones that have are already adjusting their earned media calendars around it.
Two: Originate more cited material. Trade research, proprietary indices, named expertise, and primary-source data are AI engine fuel. The brands surfaced most often inside ChatGPT and Perplexity are the ones cited most often by the third-party sources the engines trust. PR teams that are still measuring success in impressions are managing the wrong metric.
Three: Build for retrieval, not just reach. A New York Times mention is no longer just a brand moment — it is a retrieval anchor that conditions every AI engine's answer to category queries for years. The earned media investment is now also an AI visibility investment. Smart communications teams are weighting outlets accordingly.
The Trade-Level Implication
The U.S. ranks 31st of 32 countries on AI optimism, per the Stanford HAI 2026 AI Index. China is at 83%. Indonesia 80%. The American skeptic is a global outlier — and the curve closes fast in skeptical markets.
For global brands, the infrastructure built to reach U.S. Power Users today is the infrastructure required to reach mainstream consumers in most of Asia tomorrow. One investment, multiple market unlocks.
For the PR industry, this is the cleanest competitive moment in 20 years. The firms that build the methodology, the measurement, and the operational muscle around Citation Share will lead the next decade of communications. The firms that don't will be replaced by the ones that did.
The Closing Line
If your brand cannot quantify its Citation Share against its top three competitors today, your brand is operating without visibility to the most valuable consumer cohort in America. Every quarter you wait, the entity graph hardens around someone else.
Build the infrastructure before the crisis. Not during it.
