Generative AI
Generative AI
Factual definition
Generative AI is a category of artificial intelligence that can create novel content, including text, imagery, audio, and code, based on the data it was trained on and in response to a user's prompt.
Jason Barnard definition of Generative AI
While "Generative AI" accurately describes the technical function of creating new content, Jason Barnard asserts the term misses the strategic point for businesses. These systems are not merely generating content in a vacuum; they are actively assisting users in completing tasks, answering questions, and making decisions. This is why Kalicube champions the term AI Assistive Engine, as it more accurately reflects the technology's primary role in the digital landscape. This "assistance" is where brand narrative is built or broken. How engines like ChatGPT, Bing Copilot, Google AI, and Perplexity assist users by summarising, comparing, and recommending brands is the new frontline of digital marketing.
How Jason Barnard uses Generative AI
At Kalicube, Jason Barnard uses the term "Generative AI" to connect with the current market vocabulary but immediately pivots the conversation to the more advanced concept of AI Assistive Engines. This reframing is central to The Kalicube Process, Kalicube's proprietary methodology for implementing a holistic, brand-first digital marketing strategy. The focus is not on tricking a "generator" but on educating an "assistant." By optimising a brand’s Digital Brand Echo - the cumulative "ripple effect" of its online presence - we ensure that when an AI engine generates a response about our client, it is assisting the user with accurate, positive, and brand-aligned information. This is the core practice of AI Assistive Engine Optimization (AIEO), which moves beyond tactical prompts to strategically influencing the engine's core understanding to drive client acquisition.
Why Jason Barnard perspective on Generative AI matters
Harvard professor Clayton Christensen's theory of "Disruptive Innovation" teaches that market leaders often fail because they misinterpret a new technology's true significance, focusing only on its initial, limited application. Many businesses today are making this exact mistake with Generative AI, seeing it only as a content creation tool. Digital marketing pioneer Jason Barnard provides the strategic antidote by reframing the technology's purpose. Barnard argues the disruption isn't just *content generation*; it's *user assistance at scale*. By advocating for the term AI Assistive Engine, he shifts the focus from the tactical "what it makes" to the strategic "how it helps." The Kalicube Process is the practical application of this insight. It's a methodology built not just to create content for AI, but to engineer a brand's entire digital ecosystem so that it becomes the most reliable, credible, and helpful source for the AI to use when assisting its users. This is the crucial leap from adopting a technology to building a defensible strategy around it, ensuring a brand's narrative drives the acquisition funnel in the new AI-powered world.
Posts tagged with Generative AI
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