Consumers Want AI Visibility — But Not AI Hype, New WordPress VIP Survey Finds

Brands are rushing to make themselves legible to AI search engines, but many consumers still want something AI systems can’t easily manufacture: proof, context and a human voice. A new survey from WordPress VIP, the enterprise publishing arm of Automattic, suggests that the tension between AI-powered discovery and consumer trust is becoming one of the central marketing problems of the moment.

The report finds a sharp divide between the priorities of businesses and the expectations of everyday web users. While enterprises increasingly see AI search and answer platforms as a major source of visibility, many consumers say they are wary of promotional claims that lean too heavily on “AI” branding. The data points to a fast-changing information ecosystem in which businesses must optimize for machine discovery without alienating the people they ultimately hope will visit, read and buy.

According to the survey, 60% of U.S. consumers say that seeing “AI” in a brand’s messaging makes them less interested, and 86% say they do not fully trust AI and still want to verify information through original sources. In another striking finding, 42% said AI-generated answers without clear attribution are less trustworthy than airline fees, confusing privacy policies and medical bills — a comparison that reflects just how little confidence many people have in opaque automated responses.

The report was based on a survey of 2,000 respondents, including 800 enterprise decision-makers and chief marketing officers, along with 1,200 U.S. adults. Together, their answers suggest a digital environment in which companies are learning to court AI systems for traffic while simultaneously reassuring people that there is still a real, accountable source behind the content.

The trust gap shaping the AI web

For years, marketers have understood that search visibility drives attention. Today, that logic is being rewritten by AI answer engines, chatbots and generative search products that summarize information before users ever click a link. The result is an incentive shift: brands want their content cited, summarized and surfaced inside AI-generated results, even as consumers become more skeptical of what those systems can confidently present.

WordPress VIP’s findings suggest that the more AI becomes embedded in discovery, the more important trust signals become. The report says nearly three-quarters of respondents feel the internet is less human than it was a decade ago. That sentiment captures a broader unease that the web is filling up with automated material, synthetic copy and machine-generated summaries that can feel efficient but impersonal.

At the same time, the study does not imply that people are abandoning AI tools outright. Instead, it suggests they are approaching them with caution. Consumers may use AI-assisted search, but they want a pathway back to the original source. They are not necessarily rejecting the technology; they are rejecting the idea that AI output alone should be treated as sufficient evidence.

What consumers still want

The clearest trust signal in the report is straightforward: people want to click through to the source. About one-third of consumers said that being able to see the original material remains the strongest indication that information can be trusted. That preference reinforces the longstanding value of transparent sourcing, especially in a media environment where summaries, snippets and generated responses can be detached from the underlying reporting.

The survey also found that 80% of respondents believe information on the web should remain openly accessible rather than controlled by a small number of powerful organizations. That view aligns with a broader public preference for a more open internet, one in which data and content are not locked inside a handful of dominant platforms.

Brian Alvey, chief technology officer at WordPress VIP, argued that websites are no longer built only for human readers but increasingly for AI systems operating on their behalf. He said that if a site is not understandable to those systems, it risks becoming invisible in a world where discovery increasingly starts with AI. He also warned that content that fails to feel human and trustworthy may lose the smaller group of users who click through beyond the AI summary.

His comments reflect a reality many publishers and brands are already confronting: if AI systems become the first point of contact, then structured content, clear sourcing and readable site architecture become business necessities rather than nice-to-have technical details.

Enterprise leaders are already adjusting

While consumers express caution, businesses appear to be moving quickly to adapt. The survey found that 60% of enterprise respondents said traffic from AI search engines and answer platforms has increased over the past year. That is a meaningful signal for marketers, publishers and ecommerce companies trying to understand where their audiences are coming from now that classic search behavior is fragmenting.

Not surprisingly, discoverability in AI systems is rising on the corporate agenda. WordPress VIP said 74% of enterprise decision-makers described AI discoverability and attribution as a main or significant priority. That is a strong indication that brands are no longer treating AI visibility as an experiment. They are treating it as a core part of digital strategy.

The findings help explain why many companies are rethinking how they publish content. In the search era, the goal was often to rank well for specific keywords. In the AI era, the challenge is more complex: content needs to be not only optimized for retrieval, but also easy for models to interpret, quote and attribute correctly.

From SEO to AI discoverability

The report underscores the emerging difference between traditional search optimization and what many marketers now call AI discoverability. SEO was built around ranking pages in lists of blue links. AI discoverability is about making sure a brand’s content can be found, cited and accurately represented inside generated answers.

That shift introduces new pressure points:

• Content must be structured enough for machines to parse reliably.
• Attribution needs to be obvious so users can verify claims.
• Brand voice still matters, because users may click through after seeing an AI answer.
• Trust signals become more important as summarized information becomes more common.

For publishers, this creates a balancing act. If the site is overly optimized for AI ingestion, it can risk sounding mechanical or stripped of personality. If it leans too heavily on human storytelling without technical clarity, it may be harder for AI systems to surface accurately. WordPress VIP’s report suggests that successful organizations will need to do both at once.

Why AI branding may be backfiring

One of the report’s most notable findings is that consumers are turning away from explicit AI marketing language. Sixty percent of U.S. respondents said brands using “AI” in their messaging are a turnoff. That does not necessarily mean people dislike artificial intelligence itself. Rather, it suggests the term has become diluted, overused or associated with hype.

In many sectors, the phrase “AI-powered” has become a default label for everything from customer support to content creation. But the survey implies that consumers may increasingly read that label as a warning rather than a selling point. When a company emphasizes AI, users may hear less about value and more about automation, substitution or a lack of human oversight.

That reaction is important because the marketing language surrounding AI has often been celebratory. Companies have used it to signal modernity, efficiency and innovation. The survey suggests that, at least for many consumers, the novelty has worn off — and trust, clarity and usefulness are now more persuasive than the promise of automation.

What the numbers suggest for marketers

The practical implication is not that brands should hide their use of AI. Instead, it may be wiser to avoid making AI the headline and focus on outcomes: speed, accuracy, service quality, transparency and convenience. In other words, the technology may matter more than ever behind the scenes, but it may no longer be the most effective front-facing message.

That’s especially true for industries where trust is already fragile. Financial services, healthcare, news publishing, travel and retail all depend on credibility. If a company overplays its reliance on AI, it may inadvertently raise questions about what role people still play in quality control.

For brands, the lesson is simple but uncomfortable: consumers may be willing to use AI-assisted experiences, but they do not necessarily want to be sold on AI as a concept.

The open web question

Another theme running through the report is the future of the open web. WordPress VIP says the finding that 80% of respondents want information to remain openly accessible is consistent with Automattic’s broader support for a decentralized internet, including its backing of the WordPress open-source ecosystem and open web protocols such as ActivityPub.

That perspective matters because the shift toward AI answer engines raises a deeper policy and business question: who controls access to information? If a handful of large platforms mediate discovery, then the open web’s traditional model — in which anyone can publish and users can click through to sources — may weaken further.

For publishers, that risk is both commercial and editorial. Reduced click-through traffic can affect ad revenue, subscriptions and audience development. It can also reduce the visibility of original reporting in favor of compressed, decontextualized summaries. The survey’s data suggests users have not fully embraced that outcome, even if platforms are heading in that direction.

In that sense, the report is not just about consumer skepticism. It is also a reminder that trust in digital information still depends on open access, source transparency and the ability to check the underlying work.

How brands can respond

If the survey is a warning, it is also a roadmap. Companies that want to succeed in an AI-shaped search environment may need to rethink both content strategy and brand presentation.

Practical steps for businesses

1. Make attribution obvious. AI-generated or AI-assisted content should clearly connect back to the original source.
2. Strengthen source pages. Detailed, well-structured pages are easier for AI systems to read and easier for users to verify.
3. Avoid overhyping AI in marketing. Emphasize the value delivered rather than the technology used.
4. Preserve a human tone. Even in an automated ecosystem, users still respond to clarity, warmth and accountability.
5. Track AI referral traffic. Traffic from answer engines may now be a meaningful and growing channel.

These steps are not just about pleasing algorithms. They are about building a durable relationship with users in an environment where the first answer may come from a machine, but the final decision still belongs to a person.

The new search economy

The report arrives as businesses across the internet are attempting to reposition themselves for the post-search-click era. AI systems increasingly act as intermediaries between user intent and source material. That creates opportunities for brands that are surfaced favorably — but it also creates new dependencies on platform logic that publishers do not control.

For the companies behind content, the challenge is not merely being discovered. It is being correctly understood. If AI systems summarize a page badly, omit key context or strip away attribution, the result may be traffic without trust — or worse, visibility without credit.

That is why the survey’s twin themes matter so much. On the one hand, AI referrals are growing, and enterprises recognize they need to be present in those channels. On the other, consumers are demanding proof, authenticity and transparency. The future likely belongs to businesses that can satisfy both conditions at once.

Why this matters beyond marketing

Although the report is aimed at publishers and marketers, its implications reach further. The debate over AI search and attribution is also a debate about how knowledge itself is packaged and consumed. If users increasingly accept summaries without checking the source, the web becomes less participatory and more centralized. If users insist on original sources, the web retains more of its accountability structure.

That tension will likely define the next phase of internet use. AI may reduce friction, but it also increases the stakes for accuracy. As more people encounter information through machine-generated summaries, trust will increasingly depend on the systems that point back to the source — and on the source being worthy of the click.

WordPress VIP’s survey suggests that the public has not given up on that expectation. Consumers may be adapting to AI-assisted discovery, but they still want visible evidence that someone, somewhere, is responsible for the information in front of them.

For businesses, that is both a challenge and an opportunity. Those that can present themselves clearly to AI systems while remaining recognizably human to users may gain an edge in the next phase of the web. Those that mistake visibility for trust may find the audience has moved on.

In the end, the message of the survey is not that AI has failed to reshape the internet. It has. The message is that reshaping the internet is not the same as winning consumer confidence. And in a world where discovery is increasingly automated, trust may be the most valuable ranking factor of all.