Creative & Branded Content

Finding Your Brand’s AI Niche: How Prompt Nuance Shapes Product Recommendations

  • Psychology of Gen AI
  • ARF; MSI

As generative AI becomes a key part of how consumers discover and evaluate products, a new question emerges for marketers: how can they ensure their brands show up in AI-driven recommendations? This ARF and MSI experiment, the second phase of the seventh study in the Psychology of Gen AI series, reveals that even small changes in prompt wording can significantly influence which brands appear—helping non-market dominant brands carve out visibility by aligning with specific product attributes rather than competing broadly for “best” status.

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Amplifying the Effect of Creative: The Roles of Personalization and Shared Experience

  • By Kylea Weyer (Ipsos), Young Pros Officer
  • COGNITION COUNCIL

Generative AI makes it possible to tailor an ad to every individual exposed to it. But does extreme personalization work? And is there a point where it backfires? On May 20, the ARF Cognition Council held an event where industry leaders from VML, Screenvision Media, RMT, and Iris Flex discussed the implications of personalization in advertising. The discussion emphasized the complexities of personalization and highlighted the importance of balance between individual targeting and broader, shared motivations or experiences. The speakers – all members of the Cognition Council — highlighted several research studies and practical insights to convey how personalized advertising can be successful and where impact may be limited.

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Mapping the Virtual Influence Ecosystem

  • JOURNAL OF ADVERTISING RESEARCH

As brands increasingly experiment with virtual influencers, new research, published in the Journal of Advertising Research, offers one of the most comprehensive examinations of the virtual influencer landscape to date. Through a systematic review of 117 academic articles, the authors introduce a formal “virtual influencer ecosystem” framework that maps the relationships among creators, brands, consumers, AI technologies and social platforms. The study explores how authenticity, credibility, autonomy, emotional connection and consumer unease shape audience responses to virtual influencers—and what these dynamics mean for marketers navigating the future of AI-driven influence.

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Why Virtual Influencers Struggle to Drive Engagement

  • ARF
  • JOURNAL OF ADVERTISING RESEARCH

New research reveals that virtual influencers, despite their growing popularity and flexibility, are less effective than human influencers in driving engagement and brand outcomes. The reason lies in consumer psychology: people perceive virtual influencers as less deserving of success, which reduces feelings of envy—an emotion that typically drives social media engagement. However, this disadvantage can be mitigated when virtual influencers are paired with futuristic, technology-focused brands, where their artificial nature feels more congruent.

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The Science of Ad Impact: How Minds Process Advertising

  • ARF; Cognition Council

This ARF Cognition Council guide brings together the latest research in neuroscience and psychology to explain how consumers process and respond to advertising. It outlines a unified framework connecting attention, emotion, memory and persuasion—showing how these cognitive processes interact to drive real-world outcomes, like brand choice and sales. Moving beyond traditional metrics, the guide highlights emerging approaches to measuring attention and emotional engagement and explores how these signals can be linked to business results. It provides a practical foundation for understanding not just whether ads are seen, but how they are experienced, remembered and ultimately acted upon.

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Creative Council Peek Behind the Curtain: Brand Meets Game: Navigating Creative Strategy in High-Profile Sports Sponsorships

  • by Tommy Wu (Paramount), Young Pros Officer
  • ARF CREATIVE COUNCIL

On March 4th, The ARF Creative Council hosted its “Brand Meets Game: Navigating Creative Strategy in High-Profile Sports Sponsorship” panel, a conversation about how brands develop creative strategies and measurement frameworks for major sports partnerships. Moderated by Creative Council member Jillian Rice (Ipsos), the panel featured Matthew Gottlieb (NBCUniversal), Kristen Rumble (The Coca‑Cola Company), and Trey Ballard (Bank of America). Panelists shared perspectives on how companies activate around major sporting events, maintaining authentic connections with fans while delivering measurable business outcomes for their brands.  Kristen and Trey showed ads for their brands that had appeared in sports broadcasts to illustrate how their brand messages aligned with the spirits of the events. The discussion explored how successful sports marketing requires a balance of cultural relevance, strong creative strategy, and disciplined measurement. Speakers highlighted the importance of planning well in advance of major sporting moments, leveraging audience insights to shape storytelling, and ensuring that brand activations feel natural within the broader sports experience.

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How Unfamiliar Message Cues Can Improve Ad Recall in a Multitasking World

  • ARF
  • JOURNAL OF ADVERTISING RESEARCH

As media multitasking becomes the norm rather than the exception, advertisers face growing challenges in capturing and sustaining audience attention. This research demonstrates that introducing unfamiliar cues—such as technical or uncommon terms—into ad content can trigger selective attention and meaningfully improve ad recall, but only when audiences are multitasking in ways that are congruent with the message. Across multiple experimental studies, the findings show how curiosity-driven engagement can help ads break through distraction and be remembered more effectively.

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Improving AI-Driven Marketing Content Using LLM-Generated Knowledge

  • ARF, MSI

As generative AI becomes a central tool for producing marketing content, firms increasingly rely on fine-tuning models using engagement data, such as A/B test results. This MSI working paper argues that optimizing only for “what works” risks reward hacking, clickbait and poor generalization. The authors propose a knowledge-guided alignment framework in which large language models (LLMs) generate and validate hypotheses about why content performs well, and then use this knowledge to guide fine-tuning. Using more than 23,000 A/B-tested news headlines, the study shows that knowledge-guided AI produces higher engagement, avoids clickbait and generalizes better—especially in low-data settings.

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