PR Budgets Set to Double as AI Search Replaces Google
Public relations and earned media budgets will double by the end of 2026 as organizations shift spending away from traditional search advertising, according to Gartner's latest communications strategy predictions.
The shift stems from a fundamental change in how people find information. Large language models like ChatGPT and Claude no longer return a list of links - they synthesize answers and select sources they deem credible. Brands can no longer rely on paid search placements to reach audiences.
"When someone asks an AI engine a question, it doesn't return 10 blue links and let the user decide," said Jenna Guarneri, founder of JMG Public Relations in New York. "It synthesizes an answer and selects the voices it considers credible."
Why PR Suddenly Matters Again
For years, PR has struggled to justify its budget relative to paid advertising and content marketing. The impact is harder to measure and quantify than a direct response campaign.
AI search changes that equation. LLMs reward earned media, brand mentions, and citations - exactly what PR professionals have built their careers around. Credibility and authority are no longer nice-to-have attributes. They are search ranking factors.
"PR has always been in the business of building credibility, and credibility is exactly what AI search rewards," Guarneri said. "This validates what strong PR professionals have known for years."
Jade Emmons, communications director at Skillable, sees a direct link between PR placements and AI visibility. "With AI search using earned media and other influence metrics to get audience attention, there is a direct connection between a good PR placement and a prospect discovering your brand," she said.
Search Budgets Are Moving
Search advertising currently captures around 40% of digital marketing budgets. As LLMs replace Google for many queries, that money has to go somewhere.
"As LLMs rise in popularity, marketers are desperate to remain relevant in the new medium," said Adam Landis, head of strategic growth at Branch. "Earned, organic media, and recent PR coverage are among the best ways to improve your rankings with an LLM."
Anne DeSpain, founder of DeSpain Consulting, frames this as a return to an earlier era of marketing. "An era before brands figured out how to game Google through keyword stuffing and when getting the word out required genuine storytelling and creative outreach," she said.
AI Companies Rely on News Sources
There is concrete evidence that LLMs depend on earned media. Nearly all major AI companies have signed agreements with media outlets for access to news stories and reporting.
"Forward-looking businesses will understand that investment in PR will have a long-term benefit in AI visibility," said Chris Ferris, senior vice president of digital strategy at Pierpont Communications. "The AI companies are counting on reliable, objective, fact-checked sources of information to feed their LLMs."
Some PR firms are already seeing business growth from AI search. FischTank PR reports a significant uptick in inquiries about "Generative Engine Optimization" - how to appear in Claude, ChatGPT, and Google AI search results.
"If you, as a company, aren't already looking to understand how you can be found in AI search, you're behind," said Matt Bretzius, president of FischTank PR.
The Control Problem
One caveat: earned media is not entirely within a brand's control, unlike paid advertising. Tyler Jordan, founder of Jordan Digital Marketing, cautioned against over-indexing on PR alone.
However, he noted that earned media and PR can serve dual purposes - building visibility while refining how a brand signals its positioning to LLMs.
Internal Communications Get an AI Upgrade
Gartner also predicts that by 2028, 75% of employees will use chatbots to access internal communications, replacing email, Slack, and traditional channels.
Employees experiencing high information overload are 52% less likely to stay with their organization and 30% less likely to report alignment with company strategy, Gartner found. Chatbots offer a solution by delivering personalized, conversational access to policies, benefits, and workflows.
"Employees increasingly expect information to work the same way consumer technology works - immediate, searchable, and conversational," Guarneri said.
Personalization Raises Privacy Concerns
A third prediction: by 2029, 75% of communications teams will use analysis of employee digital footprints to design personalized messages.
This approach could reduce information overload and improve engagement. But it carries reputational risk if not handled transparently.
"Keystroke logging and digital-fingerprint tracking as productivity proxies are already in the press, and they read as exactly what they are," said David Sanchez Carmona, director for generative AI at APCO. "If personalization is not transparent and obvious to the employee, it will land as hypersurveillance, and correctly so."
The Timing Matters
Molly McKinley, founder of Redtail Creative, pointed out that Gartner's predictions treat AI adoption as inevitable and uniform. The reality is messier.
"The companies investing in earned media and AI authority right now will pull ahead," she said. "The ones waiting for the dust to settle are losing ground they don't yet realize they're losing."
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