Gartner just told every Chief Communications Officer in the world to double their PR budget. Not because earned media is nostalgic. Because AI answer engines now run on it.
The research firm's Top Predictions to Inform 2026 Comms Strategies report lays out five forecasts for the communications industry through 2029. The first one lands hardest: by 2027, mass adoption of public LLMs as a replacement for traditional search will drive a 2x increase in PR and earned media budgets.
That is not a suggestion. It is a market prediction from the most cited advisory firm in enterprise strategy, published to the CCOs who control those budgets.
95% of AI Citations Are Nonpaid — Gartner's Data Confirms the Earned Media Advantage
The data behind Prediction 1 is stark. According to Gartner, more than 95% of links cited by AI answer engines are nonpaid — earned, shared, and organic owned content. Only 5% are paid. And 27% of citations originate directly from earned media.
That means the entire paid-media-first playbook — the one that consumed marketing budgets for two decades — is structurally disadvantaged inside ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. The AI engines don't trust ads. They trust coverage.
The traffic numbers reinforce the urgency. ChatGPT experienced a +608% year-over-year traffic increase between the first half of 2024 and 2025. Perplexity grew +262%. Google declined 1%. Bing declined 1%. The audience is moving. The question is whether the budgets follow.
Gartner says yes — and that 36% of CCOs were already planning PR budget increases before this report dropped. Corporate brand (34%), public website (26%), and external social media (23%) followed.
Gartner Says Answer Engine Optimization Requires Communications Skills — Not SEO
One line in the Gartner report settles a debate the industry has been having for eighteen months. On answer engine optimization — Gartner's term for the discipline others call GEO (Generative Engine Optimization) — the report states that it "requires Communications-specific skills to balance stakeholder trust and platform requirements."
Not marketing. Not SEO. Communications.
This is significant because the GEO conversation in 2025 was dominated by SEO vendors repackaging keyword tools. Gartner explicitly separates the discipline — the skill set required to influence AI answers sits inside the communications function, not the search function. The reason: what AI engines cite are high-domain news outlets, government and NGO content, encyclopedic content, and academic research. Press releases, Gartner notes, get the fewest citations. When queries imply recency, 49% of citations come from news.
Translation: the earned media function is the GEO function. Proactive media coverage is the raw material AI engines consume. This is not a technology problem. It is a communications infrastructure problem.
Five Predictions That Reshape the CCO Mandate Through 2029
Gartner's full report contains five predictions. Together they describe a communications function that looks nothing like the one most CCOs inherited:
Prediction 1: By 2027, mass LLM adoption doubles PR and earned media budgets.
Prediction 2: By 2028, 75% of employees rely on chatbots for internal communications, replacing newsletters, intranets, and even managers as the primary channel.
Prediction 3: By 2029, 45% of CCOs adopt narrative intelligence technologies for reputation monitoring as disinformation accelerates.
Prediction 4: By 2029, 75% of communications teams use employee digital footprints to personalize internal messaging.
Prediction 5: By 2029, communications spending on data and analytics doubles from 2.9% to 6% of the function's budget.
Prediction 2 transforms the internal channel mix — chatbots replace the cascade, and CCOs scale down newsletters in favor of conversational AI. Prediction 3 addresses the monitoring gap — Gartner says legacy listening tools miss early warning signs of damaging narratives, and only 14% of CCOs plan to invest in narrative intelligence within 18 months. Prediction 5 puts a number on measurement's chronic underfunding — communications currently spends 2.9% of budget on data and analytics, compared to marketing's 8%, and 47% of CCOs report difficulty demonstrating business impact.
What the Gartner Report Means for the AI Communications Category
The term "AI Communications" — the practice of building brand authority inside the AI engines where buyers, investors, employees, and regulators now ask the question — has been advanced by firms including 5W AI Communications, which combines earned media, GEO, and proprietary AI visibility research into a single operating model.
Gartner's framework validates several elements of that model. The emphasis on earned media as the primary input to AI citation. The call for new measurement protocols — what the industry increasingly calls Citation Share. The recognition that this is a communications discipline, not a marketing or SEO bolt-on. And the recommendation that CCOs build a proactive earned media function calibrated for the recency demands of AI engines.
What Gartner is describing — the structural shift from search to answers, from impressions to citations, from media monitoring to narrative intelligence — is the operating thesis of the AI Communications category. The firms already building that infrastructure have a head start. The ones waiting for the next budget cycle may find the cycle has already moved.
Gartner's operational recommendations for Prediction 1 map directly to the practices already deployed by AI Communications-oriented firms:
Audit AI answer engines used by target stakeholder groups. Benchmark the sources cited and how well desired narratives come through.
Reallocate from paid to earned. Make the business case to marketing to shift at least some paid spend into owned and earned media for AI visibility.
Build a proactive earned media function calibrated for AI recency demands — especially during crisis, issues management, and organizational change like M&A.
Establish new measurement protocols for tracking earned media's impact on answer engine visibility, including competitive and industry benchmarking. Upskill teams on how AI engines source and evaluate content.
About Everything-PR
