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Marketers fear AI visibility is eroding brand quality

Marketers fear AI visibility is eroding brand quality

Mon, 26th Oct 2026 (Today)
Sean Mitchell
SEAN MITCHELL Publisher

Typeface has published research suggesting many marketing leaders believe brands are sacrificing quality and authenticity to improve visibility in AI systems. The survey covered more than 500 marketing leaders in the US and UK.

The findings point to growing tension as companies adapt content for AI agents and chatbots that increasingly shape how consumers discover brands. According to the research, 62% of respondents said brands are sacrificing content quality for AI citations, while 61% said the same of brand authenticity.

The concern comes as most marketers expect AI to become a major discovery channel. The survey found that 97% expect AI to be a top-three way people discover their brand by 2030, and 90% said their teams are prepared to shape how AI describes their brand.

Yet the data also suggests a gap between confidence and operational readiness. Only 39% of respondents said they have a fully connected content lifecycle in place, despite 93% saying such a system is important.

Shift in discovery

The research suggests brands are already creating material with machines, rather than people, in mind. Some 68% of respondents said they are producing content experiences for AI that humans will likely never see.

The shift is happening alongside changing views on search. About 64% said AI chatbots will drive more brand discovery than traditional search within three years, while 49% said they plan to deprioritise or stop investing in search engine optimisation.

The survey also found limited alignment inside many organisations over how to handle AI visibility. Only 30% said functional teams collaborate closely on the issue using shared tools and metrics, while 40% said teams mostly work independently or in silos. Another 30% said a single team sets strategy for everyone else.

Operational gap

Typeface argues the issue goes beyond simply appearing in AI-generated answers. Brands also need to ensure the information AI systems retrieve and present is accurate, distinctive and consistent across channels.

In practice, that remains difficult for many enterprises because marketing operations are often fragmented. The survey indicates disconnected teams and systems may be undermining efforts to control how brands are represented by AI tools.

Abhay Parasnis, Founder and Chief Executive Officer of Typeface, said the rise of personal AI agents creates a new challenge for enterprises as software increasingly mediates customer interactions.

"AI is becoming a new interface between customers and brands. As personal agents begin discovering, evaluating and acting on people's behalf, every enterprise has to ask what those agents will understand about its brand, and whether that experience is grounded in the same context, standards and values it gives its people," said Abhay Parasnis, Founder and Chief Executive Officer, Typeface.

His comments frame the issue less as one of traffic generation than brand control. If AI systems become a primary route through which customers encounter products and services, the quality and distinctiveness of the underlying content may directly affect commercial outcomes.

Brand consistency

The research points to a need for stronger internal coordination around brand data, approved messaging and content workflows. Typeface said a shared foundation across teams and AI systems is needed if companies want machine-mediated discovery without weakening the characteristics that set them apart.

The argument reflects a broader marketing debate over whether optimisation for algorithmic discovery can dilute tone, originality and trust. The survey suggests many senior marketers believe that risk is no longer theoretical as AI-generated summaries and recommendations play a larger role in digital discovery.

Parasnis said companies should avoid treating AI visibility as a purely technical optimisation problem.

"The answer isn't to optimize harder for machines. It's to give every person and agent a shared brand foundation, so greater AI visibility doesn't come at the cost of what makes the brand distinctive," said Parasnis.