PR in the Age
of GEO
Search changed. PR didn’t. Most companies still measure success by impressions and placements, not by what stakeholders actually learn when they Google you. This is the gap generative engine optimization exposes — and fixes.
Control what AI says about you, or let the algorithm improvise
Be the source, not the subject
PR is still about visibility. But visibility without narrative control means you’re letting AI — and everyone else — define you.
Google likes to serve its AI Overviews first in search results. And over 75% of mobile searches now end without a click since people rarely read past the first third of the answer. Your stakeholders aren’t visiting your website or reading your press releases. They’re seeing what AI synthesizes about you from dozens of sources, most of which you didn’t write.
If your narrative is scattered across contradictory coverage, vague website copy, and jargon-heavy quotes, that’s exactly what AI will serve up: confusion.
The worst time to decide who you are is when someone is asking publicly
AI doesn’t create narratives. It amplifies what already exists. That makes clarity a prerequisite, not a nice-to-have.
Sterling partners with companies to build narratives that survive compression. We focus on what a company actually does, not what it aspires to sound like, so when AI synthesizes your story, it stays coherent. Generative engine optimization rewards clarity and authority, not frequency. You can be covered a hundred times, but if your message isn’t defensible and crystal clear, AI will return a muddled answer every time.
The data backs this up. According to Muck Rack’s analysis of over 1 million AI citations, 94% come from earned media. Journalism draws the most references — not paid ads, not your website. Traditional PR now drives nearly all AI-generated answers. More than half of those citations come from content published in the last 11 months, with the highest citation rate within the first seven days of publication. Press release citations have increased fivefold since July 2025.
That means the outlets you’re in, the quotes you give, and the narratives journalists use to describe you aren’t just shaping human perception. They’re feeding the machine.
Source material over commentary
Sterling helps clients create the source material AI relies on. We work with executive teams to develop primary narratives — executive bylines, proprietary research, and original analysis — then place that work in media environments that establish authority with readers and AI systems alike, including respected trade outlets, institutional blogs, and owned channels.
Authority doesn’t come from one-off placements; it compounds over time. We track where clients are cited, paraphrased, and referenced across secondary coverage and AI outputs to understand how those references reinforce or dilute what the market learns.
The result? When someone asks AI about your company, you control the answer.
Different industries require different approaches
What AI looks for varies by industry. In healthcare, compliance language and clinical evidence matter most. In cleantech, regulatory frameworks and scientific consensus carry more weight. In edtech, outcome data and academic credibility take precedence.
Muck Rack’s research confirms this: each industry has its own mix of outlets driving AI citations. For healthcare queries, most top-cited sources come from NGO or government organizations. For finance, models favor outlets like Bankrate and NerdWallet. Technology queries pull from a blend of encyclopedic, journalistic, and academic sources.
Sterling tailors narrative structure to meet these domain-specific priorities. It’s vital that you stress test messaging against the skepticism your industry faces — whether that’s clinical scrutiny, regulatory uncertainty, or competitive noise — so your positioning stays clear under pressure.
Measure what matters: comprehension, not clicks
Sterling evaluates PR impact across three layers:
- Human outcomes: inbound interest, analyst engagement, pipeline activation
- Narrative persistence: consistency of how your company is described across outlets and over time
- AI visibility: presence and accuracy in generative search results
Don’t focus solely on vanity metrics like impressions or number of placements. In the age of zero-click search, understanding how your message performs in both AI-generated answers and traditional search rankings helps you see what stakeholders actually learn about you.
Being heard is table stakes. Being understood, remembered, and trusted is the work
The brands that thrive in this ecosystem don’t just optimize for AI discovery. They build narratives clear enough to survive it. That means:
- Messaging grounded in what you actually do, not what you want to sound like
- Coverage in the high-authority outlets AI models prioritize
- Tracking your presence in AI-generated answers, not just search rankings
- Aligning your media strategy with how stakeholders actually research and make decisions
The companies getting this right aren’t just hoping to be remembered. They’re building narrative infrastructure now.