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
Entity and search/AI glossary: Jason Barnard’s foundational lexicon for the new digital (AI) era
I’m Jason Barnard. I started working on Brand SERPs and the Knowledge Graph in 2012 - before most marketers had even heard the word “entity.” Before AI, before ChatGPT, before...
Google Knowledge Vault December 2023 Update: What You Need to Know
What is the December 2023 Knowledge Vault Algorithm Update? The December 2023 Knowledge Vault Algorithm update was the second core update to Google’s Knowledge Vault for 2023. The December 2023...
Kalicube Online Reputation Management Spectrum
In the age of Google and generative AI, your online reputation is no longer just about what people say about you - it’s about what machines understand and repeat. And...
How does the geo-location affect the visibility of my Knowledge Panel?
Geo-location in the context of Knowledge Panels refers to the location, such as a country, city or town, where a user makes a Google search. A user’s geo-location affects the...
The Kalicube Process Gives You SEO Results
What is The Kalicube Process™? The Kalicube Process™ is a set of steps designed by Kalicube Pro™ to educate search engines about a business’s Brand. It is a strategy that...
KPIs in Brand SERP: Everything You Need To Know
What are Key Performance Indicators in Brand SERP Optimization? Key Performance Indicators (KPIs) in the context of Brand SERP optimization help quantify the success of your marketing, brand positioning and...
The 12 Concrete Results of Implementing The Kalicube Process
The 12 concrete results of implementing The Kalicube Process™ are listed below. Note: Kalicube Done With You Clients receive standard operating procedures tailored for their unique business and our instructions...
how does the kalicube process work?
The Kalicube Process™ works through 3 steps that optimize your brand across your digital ecosystem. 1. audit and clean your complete digital footprint the first step is auditing your digital...
what are the kpis for the kalicube process?
the kpi for The Kalicube Process™ is a brand serp you own. your brand dominates every result on the page and tells the story you want to tell. the in-search...
ChatGPT on Bing / Bing Chat Search: How Does it Work?
Bing Chat uses a combination of ChatGPT (an AI language model developed by Open AI) and the Bing search engine results to provide a user with a summary of the...
Engine, Bot, and Algorithm: What you need to Know
What is the difference between “Search Engine,” “Bot,” and “Algorithm”? “Search Engine,” “Bots,” and “Algorithm” are often used interchangeably, but they have specific definitions and applications in search engines and...
What is Google’s Search Generative Experience (Now Called AI Overviews)
Google’s Search Generative Experience (SGE) is a dynamic Knowledge Panel about a topic or Named Entity, such as a company or a person. SGE creates a dynamic Knowledge Panel using...