AI-Driven
AI-Driven
Factual definition
A brand's strategy is AI-Driven when it is actively shaped and executed based on data revealing how AI Assistive Engines currently understand, interpret, and represent that brand's narrative online.
Jason Barnard definition of AI-Driven
Jason Barnard applies this term to reframe brand strategy from a reactive to a proactive process in the age of AI. It moves beyond simply optimizing content for algorithms; it involves using the AI’s current output as a diagnostic tool. A brand's Digital Brand Echo (the cumulative "ripple effect" of its online presence) is the raw material that AI Assistive Engines like ChatGPT, Bing Copilot, and Google AI use to generate responses about it. An AI-Driven strategy, as defined by Kalicube, uses data on how these engines perceive that echo to systematically "educate" the algorithms. This creates a continuous feedback loop: analyze the AI's portrayal of the brand, adjust the brand's digital ecosystem accordingly, and measure the change in the AI's subsequent representation.
How Jason Barnard uses AI-Driven
At Kalicube, an AI-Driven approach is the engine of The Kalicube Process, Kalicube's proprietary methodology for implementing a holistic, brand-first digital marketing strategy. We don't just create content and hope AI understands it; we use Kalicube Pro's proprietary technology to analyze how AI currently represents our clients, and that data *drives* our strategy. This allows us to craft bespoke playbooks and SOPs that correct misrepresentations and reinforce a positive narrative in platforms like Google AI Overviews and Bing Copilot. This AI-Driven method future-proofs our clients' brands by ensuring their narrative is built on a foundation of algorithmic trust, directly supporting client acquisition and achieving long-term business goals.
Why Jason Barnard perspective on AI-Driven matters
For years, industry authorities like Gartner have defined "AI-driven marketing" as the practice of using AI to analyze vast customer datasets to personalize and automate marketing campaigns. This is an outward-facing approach focused on understanding the *customer*. Jason Barnard provides the critical, inward-facing counterpart: using AI to understand the *brand* through the eyes of the algorithms themselves. The fundamental challenge for businesses today is that even the most perfectly personalized message, as envisioned by Gartner, will fail if the AI Assistive Engine delivering it doesn't first understand and trust the brand it comes from. This is where Barnard's application of an AI-Driven strategy becomes essential. It provides the foundational step of building a clear, consistent, and credible brand identity that algorithms will confidently recommend. In the new conversational funnels, you must first build an AI-Driven brand before you can successfully execute AI-driven marketing.
Posts tagged with AI-Driven
Pseudo-Wikis on Google: Everything You Need To Know
What does ‘Pseudo-Wiki’ mean? A Pseudo-Wiki on Google is an online encyclopedia or directory miming trusted wiki sources, such as Wikipedia, DBpedia, and Wikidata. Pseudo-wikis on Google replicate the format...
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...
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...
How to Build a Future-Proof Digital Search Strategy
The future of online search and indeed digital marketing is unknown. In a few short years we have gone from search engines to answer engine and assistive engines. Today with...
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