For a long time, PR and SEO lived in separate worlds. Comms handled reputation — getting in the press, managing crises, building image — and SEO handled showing up on Google. Different functions, different teams, different metrics. LLMs are dissolving that boundary, and whoever sees it first gains an edge.
Why the Two Worlds Collided
The logic is direct. LLMs build what they know about your brand from what's been published about you — and give special weight to what trustworthy third parties say. Press, industry outlets, mentions in respected content: exactly PR's historical territory. What PR has always done — generate quality coverage and mentions — became, without warning, one of the most effective ways to influence what AI says about you.
In other words: earned media stopped impacting only human perception. It now directly feeds the source the AI draws its answers from. A good press placement isn't just reputation; it's a signal that can enter the models' training and be retrieved in live searches.
What Changes in Practice for Comms
It's not that PR becomes SEO overnight — it's that it gains a new audience and a new success criterion, and that shifts some choices.
The target stops being only the reader. Traditionally, a mention was worth the human audience that saw it. Now it's also worth what it teaches the machines. A placement in a niche outlet, with little human traffic but a lot of topical authority, can be worth more to AI than a passing mention in a giant portal.
The content of the mention matters more. Before, getting in the press was the win. Now, what's said about you in the coverage — whether it associates the brand with the right concepts, whether it describes your positioning accurately — directly shapes how AI will describe you. A mention that puts you in the wrong context can actually hurt.
Consistency gains strategic weight. Because AI reflects consensus, appearing coherently associated with the same topics across multiple outlets builds a strong signal. Comms starts thinking not just about "getting in the media," but about building a consistent narrative the AI can internalize.
What Doesn't Change
It's worth resisting the hype: PR doesn't become a technical trick, and the fundamentals stay the same. To generate quality coverage, you still need something worth covering — data, angles, a story, substance. The difference is that this work now pays off on two fronts: human reputation and AI presence.
And here's a good thing: honest, well-done PR was already the right path. There's no separate "PR for AI" with its own tactics. There's the same good PR, now with an extra return. Anyone trying to fabricate artificial mentions to fool the model will hit the same old problem — weak signal, low-trust source, little effect.
The Missing Piece: Measuring the AI Effect
Here's the gap most PR operations still have. Comms measures clipping, reach, share of voice in the press. What it rarely measures is the effect of that coverage on how AI talks about the brand. The mention ran — and did AI start describing you better? Start citing you in more questions? Correct a fact that was wrong?
Without closing that loop, PR in the LLM era is blind to half its own impact. You generate the coverage, it feeds the models, but you don't see the result of that second front.
That's the bridge worth building: connecting earned-media effort to the real change in AI presence. Genoma lets you track how the narrative your comms team builds is reflected in what ChatGPT, Gemini, and Claude say about your brand — turning PR from a reputation bet into a measurable visibility lever. For the comms team, it's the chance to prove a value that, until now, stayed invisible.