Brands Must Rethink Content Strategy for Artificial Intelligence Agents

As Artificial Intelligence agents drive a new era of consumer discovery, brands must produce content that´s unique, valuable, and tailored to conversational search.

As Artificial Intelligence tools and large language models become integral to everyday life, brands face new challenges in maintaining visibility and relevance. The era when optimizing for Google´s search algorithm guaranteed online presence is fading, replaced by conversational search experiences offered by platforms like Chatgpt, Perplexity, and Claude. According to Scandinavian MIND´s editor-in-chief, Konrad Olsson, the competitive edge for brands is now defined by intentional strategy, creativity, and taste rather than mere access to advanced Artificial Intelligence tools.

Consumer behavior is undergoing a rapid transformation: traditional search is giving way to dynamic, context-aware queries conducted within Artificial Intelligence-driven chatbots. This change means that buyer journeys increasingly unfold inside conversational agents, minimizing the need for consumers to visit brand websites directly. As Erik Wikander of Wilgot, an Artificial Intelligence marketing platform, notes, this marks a seismic shift for marketing, prompting brands to consider how their presence can be secured within these new Artificial Intelligence feeds.

The answer lies in content—but not just any content. The rise of ´information gain´ has placed a premium on material that delivers new insights, lived experiences, or proprietary data, distinguishing itself in a landscape where the majority of content may soon be Artificial Intelligence-generated. Generic or recycled content fades into obscurity, whereas content that offers genuine value and aligns with nuanced, evolving customer needs rises to the top. Brands must produce unique, trustworthy, and conversationally discoverable content that responds to specific and emerging consumer queries, making strategy and human-led storytelling essential. While automation can facilitate content creation, the direction, tone, and originality must remain rooted in authentic brand perspective, amplifying rather than merely recycling ideas. This new content paradigm demands a blend of strategy, editorial sensibility, and the ability to define and recognize what truly matters in a world saturated with Artificial Intelligence.

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IBM and AMD partner on quantum-centric supercomputing

IBM and AMD announced plans to develop quantum-centric supercomputing architectures that combine quantum computers with high-performance computing to create scalable, open-source platforms. The collaboration leverages IBM´s work on quantum computers and software and AMD´s expertise in high-performance computing and Artificial Intelligence accelerators.

Qualcomm launches Dragonwing Q-6690 with integrated RFID and Artificial Intelligence

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Recent books from the MIT community

A roundup of new titles from the MIT community, including Empire of Artificial Intelligence, a critical look at Sam Altman’s OpenAI, and Data, Systems, and Society, a textbook on harnessing Artificial Intelligence for societal good.

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