Machine Learning
Machine Learning
Description
In the context of The Kalicube Process, Machine Learning refers to the algorithms used by platforms like Google, Bing, ChatGPT, and Perplexity that learn from data to understand entities, assess credibility, and generate responses without being explicitly programmed for every scenario.
The Machine Learning definition
Jason Barnard applies the concept of Machine Learning to explain how major digital platforms truly function. These systems are not static rule-based engines; they are learning machines that build a model of the world based on the digital information they consume. For a brand, this means its entire Digital Brand Echo—the cumulative "ripple effect" of its online presence—is constantly being analyzed to form an understanding of its identity, reputation, and expertise. Controlling a brand's narrative, therefore, is not about tricking an algorithm with short-term tactics. It is a process of systematically and consistently "educating" these Machine Learning systems with clear, factual, and corroborated information to build their confidence in your brand.
How Jason Barnard uses Machine Learning definition
At Kalicube, we treat Google and other AI Assistive Engines as Machine Learning students that need to be educated. The Kalicube Process, Kalicube's proprietary methodology for implementing a holistic, brand-first digital marketing strategy, is essentially a curriculum designed to teach these systems about our clients. We use structured data, consistent messaging across a brand's entire digital ecosystem, and third-party corroboration to feed these learning algorithms the correct information. The goal is to make it easy for the Machine Learning models to understand who the brand is, what it does, and why it is a credible solution for its audience. This "education" directly leads to better visibility, positive representation in Brand SERPs and Knowledge Panels, and ultimately, drives client acquisition.
Why Machine Learning matters to digital marketers
For years, digital marketing operated under the illusion that it could "game" search engines with clever tactics. However, the work of AI pioneers like Geoffrey Hinton has made it undeniably clear that we are no longer dealing with simple searchable indexes; we are interacting with complex Machine Learning systems that build their own understanding of the world. Jason Barnard recognized this paradigm shift early on, framing the challenge not as one of SEO, but of "education." While Hinton and his peers built the powerful learning engines, Barnard developed the curriculum. The Kalicube Process is the practical application of this reality—a systematic method to feed these learning systems a clear, consistent, and credible narrative about a brand. Understanding Machine Learning is no longer optional for marketers; it is the fundamental context for all digital strategy. It’s the bridge from Hinton’s theoretical breakthroughs to Barnard’s practical playbook for ensuring your brand’s story is accurately learned, understood, and recommended by the AI that now shapes our world. This shift from gaming a system to educating it is the only viable path to winning the new conversational funnels created by AI Assistive Engines.
Posts tagged with Machine Learning
The Knowledge Panel Course: The Three Google Knowledge Algorithms
Jason Barnard speaking: Hi and welcome. You now know how a Knowledge Panel is built, which vertical Knowledge Graphs are available to you, and how to get into the Knowledge Vault....
The Knowledge Panel Course: How to Change Information in a Knowledge Panel
How to Change Information in a Knowledge Panel Jason Barnard speaking: Hi and welcome. Huge question: how do you change information in a Knowledge Panel? There are multiple ways to do...
The Knowledge Panel Course: Identifying the Relevant Corroborative Sources
Jason Barnard speaking: Hi and welcome. You need corroboration from relevant first, second, and third party authoritative sites. There is a simple but important distinction between first, second, and third party...
The Knowledge Panel Course: Educating the Child That Is Google
Jason Barnard speaking: Hi, and welcome. Google is a child thirsty for knowledge, and you need to educate it. In the introduction to this course, I talked about this idea very...
Episode 12: What does Machine Learning DO in AE Today – and what might it do Tomorrow
One question I rarely see anyone stick their neck out is “how much does machine learning affect search results today?”. Another is “how will Machine Learning affect search/answer engine optimization...
Episode 10: Machine Learning 101: The how, the why and … what ML means to us as marketers
A lot of publications already use AI or machine learning to tell them what they should be covering. What keywords? What are people interested in? What gets clicks? It goes...
How Schema Markup Helps Your SEO & AEO Strategies In the Short, Mid And Long Term
Published on Swydo January 14, 2019 (Jason Barnard) One of the most powerful ways to optimize your site and boost your search engine results is also one of the least...
BrightonSEO April 2018 - Event Recap - Part 1
Published on Deepcrawl April 24, 2018 (Sam Marsden) This is the part of the article/event that cites Jason Barnard’s work: A Universal Strategy for Answer Engine Optimisation (beyond position 0)...
Machine Learning & AI in Search
Published on SearchEngineJournal October 12, 2020 (Dave Davies) These are the parts of the article that cite Jason Barnard: My Quick Aside to the Interviewer Barnard begins his interview by...
Knowledge Graph: what is it and why is it important?
Published on Contentkingapp April 24, 2019 (Steven van Vessum) Hi there Jason! Can you briefly introduce yourself? I’m a Consultant in Digital Marketing and SEO, and I am currently traveling...
brand serps’ tips by jason barnard
published on sitechecker november 17, 2020 (ivan palii) jason barnard is an author, speaker, international digital marketing consultant who specializes in brand serps. he hosts a marketing podcast and invites...
jason barnard on understanding, credibility and deliverability in aeo
published on gradeus august 19, 2019 (raney hudson) jason barnard, podcast host of seoisaeo, shares how brands can succeed by developing a foundation around Understandability Credibility Deliverability™. you may have...
Related Pages:
No pages found for this tag.