PR Emerges as key lever for AI search visibility

PR is no longer a side function

Greg Jarboe’s argument is straightforward: AI search visibility is pulling PR out of the supporting cast and putting it at the center of discovery. The reason is not abstract branding, but the mechanics of how AI systems choose what to surface. Earned-media signals, the same third-party credibility markers communications teams have always chased, now feed directly into the citations and brand names that AI answers rely on.

That shift changes the assignment for marketing teams. If AI engines are increasingly deciding which brands get named, then PR is no longer just about reputation after the fact. It is about shaping the information environment before a query is even made, so that the brand shows up as a trusted answer when models assemble their responses.

The same brands keep winning, even when the sources change

BrightEdge’s AI Catalyst research makes the pattern hard to ignore. Across ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews, the sources cited by each engine vary dramatically, but the brands those engines recommend cluster much more tightly. BrightEdge found pairwise overlap in cited sources ranging from 16% to 59%, while pairwise overlap in named brands ranged from 36% to 55%.

That is the key strategic lesson. AI visibility is not about controlling every citation source, because the engines do not all build answers the same way. It is about making sure your brand is discussed consistently across the web, across the places models are already looking. BrightEdge’s dataset spans prompts across ten industries, including B2B technology, education, entertainment, finance, healthcare, insurance, restaurants, travel, and ecommerce, which makes the pattern relevant far beyond one vertical.

Think in source layers, not single-engine tactics

BrightEdge’s research also shows why a one-engine playbook falls short. AI search platforms pull from different source layers, including authoritative institutions, commercial and editorial sources, user-generated content, and social platforms. That means the engines are not just scanning a single type of authority; they are blending multiple signals to decide what looks credible, current, and useful.

The commercial and editorial layer matters especially for PR teams because it is where review sites, trade press, news media, finance data, and retailer listings sit. Those are exactly the kinds of third-party references that help AI systems confirm a brand’s relevance. If a company only invests in its own site, it may own the message, but it will still lose the wider trust signals that AI models prefer.

There is also a clear review-site effect. Brands with profiles on Trustpilot, G2, and Capterra are three times more likely to be cited by ChatGPT than brands without them. That is not a nice-to-have bonus; it is a practical distribution channel for trust.

What PR and SEO need to do together now

The internal power shift is not subtle. SEO teams can no longer treat PR as a separate lane, and PR teams can no longer treat search as an afterthought. The winning mix combines earned-media outreach, review generation, expert commentary, structured data, and category-content strategy around one objective: becoming the brand that models keep finding and naming.

A practical operating model looks like this:

• Build expert sourcing into campaigns. Make sure spokespeople, analysts, and product leaders are positioned as the people journalists, trade outlets, and comparison publishers want to quote.

• Target authoritative mentions, not just links. Trade press, news coverage, finance coverage, and retailer listings all help reinforce the brand as a legitimate entity.

• Treat reviews as a visibility asset. Profiles on Trustpilot, G2, and Capterra can materially raise the odds of appearing in ChatGPT answers.

• Strengthen entity signals. Structured data, consistent naming, and category pages help search and AI systems connect the brand to the right topics.

• Match content to commercial intent. BrightEdge found that terms such as “where,” “find,” “cheap,” “deals,” and “affordable” drive much higher brand visibility than informational queries.

This is where PR and SEO become inseparable. PR creates the third-party proof. SEO makes that proof legible to machines.

Organic search still pays the bills

Even with all the attention on AI, the economics have not flipped yet. BrightEdge says AI search accounts for less than 1% of referral traffic, while organic search remains the primary driver of conversions. Its broader point is just as important: AI platforms still depend on traditional search indexes as a foundation, which is why SEO fundamentals remain essential even as discovery changes shape.

That is why the smartest response is not to abandon SEO for AI search, or to treat AI visibility as a separate silo. The right move is to harden the core organic program while expanding the brand’s footprint across the places AI engines trust. BrightEdge has also shown that new platforms can move quickly, with Claude referral traffic growing 58% in July and 21% in August in its 2025 data set, while Grok posted 1,279% growth in July from a small base. The lesson is not that one engine will dominate forever, but that search behavior can shift faster than most teams are structured to respond.

Visibility and risk now travel together

The same systems that elevate brands can also expose them. BrightEdge reported in March 2026 that Google AI Overviews were 44% more likely than ChatGPT to surface negative brand sentiment overall, while ChatGPT concentrated criticism 13 times more heavily near the point of purchase. That split matters because it shows AI search is not just a visibility channel, it is a brand-risk channel, with different engines judging brands differently depending on context and intent.

BrightEdge’s earlier warning, issued on January 18, 2024, looks even more prescient now. It estimated that 84% of Google Search queries would be boosted by generative AI and flagged healthcare, ecommerce, and B2B technology as among the most affected sectors. That forecast is now being validated by the growing mismatch between sources and brands, and by the need to manage reputation, discoverability, and conversion in the same program.

The teams that win in AI search will be the ones that stop separating media relations from search strategy. They will build one visibility system, powered by expert sourcing, authoritative mentions, digital PR, review generation, and entity-building, so that when AI engines look for a trustworthy answer, the brand is already woven into the web they trust.