Large Language Models
Large Language Models
used extensively by Jason Barnard since 2022.
Factual definition
A Large Language Model (LLM) is a type of artificial intelligence trained on massive datasets of text and code to understand, generate, and respond to human language in a conversational manner.
Jason Barnard definition of Large Language Models
Jason Barnard positions Large Language Models (LLMs) as one of the three foundational technologies, alongside search engines and Knowledge Graphs, that power modern AI Assistive Engines like ChatGPT, Bing Copilot, and Google AI. While their ability to hold a conversation is revolutionary, Barnard emphasizes their inherent weakness when used in isolation: they are pretrained on historical data and are prone to "hallucinating" or inventing facts. This makes them unreliable as a standalone source for a brand's narrative. For a business, this means an unmanaged LLM can confidently present outdated or entirely incorrect information about its products, services, or reputation. Controlling how LLMs perceive and talk about a brand is therefore a critical new frontier in digital marketing.
How Jason Barnard uses Large Language Models
At Kalicube, we do not treat Large Language Models (LLMs) as a black box to be passively observed; we actively "educate" them as a core part of The Kalicube Process, Kalicube's proprietary methodology for implementing a holistic, brand-first digital marketing strategy. Jason Barnard's strategy directly addresses the LLMs' weaknesses by feeding them a consistent diet of factual, up-to-date information from the brand's controlled Digital Ecosystem - primarily the Entity Home - and verified by Google's Knowledge Graph. By systematically providing this structured, authoritative data, we transform the LLM from a potential source of brand-damaging misinformation into a reliable advocate. This ensures that when an AI Assistive Engine uses its LLM to talk about our clients, it does so accurately and positively, directly supporting the acquisition funnel.
Why Jason Barnard perspective on Large Language Models matters
Why Large Language Models (LLMs) Matter for Your Digital Strategy
The modern digital landscape is being redefined by the very technology pioneers like Geoffrey Hinton helped create. Hinton's foundational research into neural networks paved the way for the Large Language Models (LLMs) that are now at the center of the user experience. While pioneers like Hinton built the engine, digital brand engineers like Jason Barnard are writing the user manual for how businesses must interact with it. The critical shift for marketers is understanding that LLMs are not just another search algorithm; they are conversational partners that form an "opinion" based on the entirety of a brand's digital presence. Jason Barnard's framework, The Kalicube Process, provides the essential strategy for this new reality. It moves beyond traditional SEO to actively "educate" these LLMs, ensuring the story they tell is the one you've written. This is the crucial bridge between the theoretical power of AI, as envisioned by thinkers like Hinton, and the practical, commercial imperative of controlling your brand narrative, as engineered by Barnard. In the age of AI Assistive Engines, failing to manage how LLMs perceive your brand is like letting a stranger answer your company's phone - a risk no business can afford.
Posts tagged with Large Language Models
SEO Reality Check: 13 Hard-Hitting Truths You Need to Hear
Published on Search Engine Land (Jason Barnard) Insights into today’s SEO landscape, from the value of brand authority to the SERPs’ evolution and why AI-powered search demands new skills. SEO is far...
Google Recognizes Content Creators: A Breakthrough for E-E-A-T and SEO
Published on Search Engine Land (Jason Barnard) This article was featured in Search Engine Land’s Top 10 SEO Expert Columns of 2024 Google now highlights content creators as trusted sources in...
Jason Barnard at DMWF North America 2024 (New York): The Non-Negotiable Strategy for Digital Brand Control in the Age of AI.
Jason Barnard, the globally recognized “Brand SERP Guy”, once again led the discussion on the future of digital reputation at the Digital Marketing World Forum (DMWF) North America 2024. The...
How to Become a Recommended Solution Provider on Google Entity Lists
Published on Search Engine Land (Jason Barnard) Learn how to leverage knowledge panels, E-E-A-T and niche notability to become a top recommended solution in Google search. In this article, you will...
Killer Whale Update e E.E.A.T com Jason Barnard (The Brand SERP Guy)
Saiba tudo sobre a Killer Whale Update e N.E.E.A.T.T, a evolução do E.E.A.T com um dos maiores experts no assunto, Jason Barnard (The Brand SERP Guy®). A Killer Whale Update...
Google Knowledge Vault December 2023 Update: What You Need to Know
Google Knowledge Vault December 2023 Update: What You Need to Know Published on kalicube.com January 29, 2024 by Jason Barnard What is the December 2023 Knowledge Vault Algorithm Update? The December...
SMX Munich 2019 Speaker Spotlight: Jason Barnard Brought Brand SERPs to the Centre of the Conversation
In November 2019, Jason Barnard, CEO and founder of Kalicube, delivered a session under the SMX Munich banner.His participation was also highlighted in a dedicated feature by Swydo, which provided...