Summary
This post argues that PR teams should lead AI search strategy. AI tools like Google’s Overviews and ChatGPT are reshaping how brands show up online, pulling information from earned media, not just websites. Yet most companies are putting SEO in charge, even though it focuses on traffic, not trust. The post explains why this is risky and lays out a practical plan for how PR teams can take control. The core message is simple: reputation drives AI summaries, so the people who manage reputation should own the strategy.
SEO is Driving AI Search Strategy, and That’s a Problem
AI search is moving fast. Google’s AI Overviews are already reshaping how your brand shows up. OpenAI is in the game with real-time search. And marketers everywhere are trying to figure out if this is the sprint, the marathon, or a slow-motion collapse.
According to a new BrightEdge survey, 68% of organizations are already changing their search strategies in response to AI. That part isn’t surprising. What is surprising and a little risky is who’s in charge.
BrightEdge found that more than half of all organizations, 54%, are putting their SEO or digital teams in the driver’s seat. PR and communications? Just 8%. That’s a misread of what this moment actually requires.
You don’t need better keyword placement. You need message control, trust, and fast response to misinformation. That’s why AI search needs to be a PR-first initiative.
SEO Alone Won’t Save You in an AI Search World
Let’s be clear. SEO plays a critical role. But this isn’t a technical tuning problem. This is a brand visibility problem. And the AI summary boxes are rewriting your narrative in real time.
When Google summarizes your brand story using Reddit, Yelp, and outdated articles, no meta tag can fix it. AI doesn’t just crawl. It paraphrases, blends, and reshapes content. That puts your message at risk.
Most SEO teams aren’t trained to manage perception. They measure rankings, not sentiment. They optimize for traffic, not trust. And they usually don’t have the authority to align with legal, brand, or comms.
That’s where things start to break.
This shift to AI Overviews marks the rise of generative engine optimization. It’s no longer about keyword stuffing or gaming page rank. It’s about influencing the content that large language models ingest, process, and reshare in real time.
Generative engine optimization requires more than technical skill. It demands strategic oversight from teams who understand brand voice, reputation risk, and message discipline.
PR Was Built for This Shift
PR teams already manage the signals that AI models prioritize. Clear, structured facts. Credible citations. Consistent messaging across channels. You write executive bios. You control thought leadership narratives. You respond to crisis in minutes, not quarters.
The transition to AI search is a shift in visibility strategy. That means the people who already understand message discipline, reputation risk, and stakeholder perception should be leading.
This isn’t about clicks. It’s about control.
What the BrightEdge Survey Really Signals
The BrightEdge report is blunt. SEO teams are leading, but they don’t have backup. In fact, 57% of marketers say they’re taking a “wait and see” approach. Meanwhile, fewer than one in ten PR teams are involved in AI search strategy at all.
Even BrightEdge flags this as a “massive concentration of responsibility” with little cross-functional support. That’s a setup for failure. AI search isn’t a channel. It’s a compression of everything you’ve ever published. Summarized, stripped of context, and reshared at scale.
The teams that own brand perception should be the ones guiding how that compression happens.
A PR-First Playbook for AI Search Strategy
You can’t wing this. If your AI search plan lives in a shared doc owned by SEO, you’re already behind. This needs structure. PR teams should drive a real strategy that aligns messaging across content, media, and owned assets while partnering with SEO on the technical side. Think of it as a newsroom, reputation lab, and crisis command center rolled into one. Below is a practical playbook with clear ownership, goals, and outputs.
| Step | Action | Primary Owner | Outcome / Deliverable |
|---|---|---|---|
| 1 | Structure brand facts and bios | PR | Clear, scannable facts for AI to ingest |
| 2 | Rewrite core content for answerability | PR + Content | Summarized copy that AI pulls into responses |
| 3 | Monitor AI summaries for accuracy | PR + Analytics | Daily or weekly tracking of hallucinations |
| 4 | Collaborate on technical hygiene | SEO + PR | Schema, site speed, llms.txt configured |
| 5 | Report on brand accuracy in AI | PR + Analytics | Narrative scorecards and trust dashboards |
Final Thought: Don’t Let AI Rewrite Your Story Without You
Your SEO team knows how to get you found. Your PR team knows how to keep you trusted. Right now, trust matters more.
This has to be a cross-functional effort. SEO, content, comms, analytics, and product all have a role to play. But someone needs to lead. That leader should be PR.
The smartest brands will stop treating AI search as a technical problem and start treating it like a reputation challenge.
We’ve been testing outputs across all the major language models, and here’s what we’re seeing. Between 89 and 94 percent of citations in AI search summaries are coming from earned media. That means press coverage, analyst reports, and third-party validation are doing most of the work.
If your reputation is what fuels the summary, your PR team should own the roadmap. Build the coalition. Set the standard. And make sure your brand shows up the way it should before someone else decides how the story ends.
