Onclusive published its 2027 public relations, communications and marketing outlook in November 2026 with an organizational disagreement: most respondents believe PR should lead AI visibility, but far fewer think that will actually happen. The finding turns a measurement debate into a practical question of who has authority, budgets and accountability.
In its 2027 Trends Report, based on responses from more than 250 professionals across 13 markets, three in four respondents agreed that PR should own AI visibility in 2027. Only 22% expected that arrangement. The 53-percentage-point difference reflects two survey responses, not a measured shortfall in company performance.
Table of contents
Jump to each section:
- The distance between responsibility and reality
- Why AI answers belong in reputation monitoring
- An accountable measurement brief starts with decisions
- What the survey does and does not show
The distance between responsibility and reality
AI visibility concerns how a brand is named, described and cited when users question AI assistants. It is influenced by external publishers, company websites and other material AI tools surface. This makes it difficult for any one existing department to claim complete control.
Onclusive reports that 75% of respondents believe PR should own the discipline in 2027, while only 22% expect PR to do so. That is an opinion gap about governance, not proof that 78% of organizations lack any monitoring program. Perceived responsibility should not be confused with current operating structure.
The gap matters because different teams control different inputs. Communications can build media relationships and manage reputation, SEO can track technical visibility and organic discovery, and marketers can influence performance budgets. A cross-functional discipline may arrive before a shared reporting structure.
Why AI answers belong in reputation monitoring
Onclusive also reports that about half of respondents expect AI assistants to be among the three principal influences on brand reputation in 2027. Separately, 45% of marketer respondents named adapting to AI-driven search as a top priority.
Those answers reflect a broader communications brief. An organization’s reputation may be summarized using third-party material its own website does not control. That creates a reason to watch who appears as a cited source, whether the brand description is accurate and how responses vary with questions.
A distinct Cision study of search, social and AI outputs also highlights the difference between brands mentioned in answers and the websites those answers cite. It is a different dataset and should not be presented as independent confirmation of Onclusive’s survey percentages.
Any comparison needs careful test design. The same query can produce different answers across assistants, languages, locations and software updates. A team should record the exact prompts and test conditions before making trend claims.
An accountable measurement brief starts with decisions
For an in-house communications leader, the practical priority is defining who responds when an AI answer describes the company incorrectly. A PR department may recognize the reputation risk but have neither the technical access to improve owned sources nor the mandate to commission the necessary changes.
One effective approach is a responsibility map with three distinct owners: who monitors accuracy, who identifies the external sources shaping answers, and who has authority to act. The organization should also specify when a materially inaccurate answer needs escalation.
Metrics should separate answer inclusion, citation sources, factual accuracy and business outcomes. A higher share of brand mentions does not automatically prove a PR campaign caused the change. Teams need a baseline and, where feasible, controlled testing rather than a single visibility score.
Onclusive says more than half its respondents rate connecting PR and marketing activity to revenue among their major challenges for 2027. This sharpens the distinction between observing a brand in answers and demonstrating commercial impact.
What the survey does and does not show
Onclusive sells media intelligence and measurement products, so its research should be read as vendor-produced industry evidence. Its public summary identifies more than 250 professionals in 13 markets, but it does not establish a statistically representative global sample.
Nor does that summary provide a separate representative result for Asia-Pacific markets. The 75% and 22% figures describe the views and expectations of people who responded, not established facts about how every organization operates. The survey also captures predictions about 2027 that may or may not be realized.
PR agency leaders and corporate communications teams can still use the findings as a prompt for an operational discussion: Who approves a common AI-answer monitoring baseline? Who checks inaccurate claims? Who owns earned-media source relationships? And who explains the difference between visibility and causal impact?
Onclusive’s figures show why the ownership question deserves attention. A profession can agree that it ought to lead a new discipline while doubting whether its organizations will give it the authority and resources required. The governance changes that actually occur in 2027 will be a stronger test than the survey expectations.