Educating the Algorithms

Educating the Algorithms

coined by Jason Barnard in 2021.
Description
Factual Definition of Educating the Algorithms Educating the Algorithms is the systematic process of providing clear, consistent, and corroborated information across a brand's entire digital ecosystem to shape how search and AI systems understand and represent it.
The Educating the Algorithms definition
Jason Barnard introduced this concept to shift marketers from a passive, reactive approach to an active, engineering mindset. It rejects the idea that a brand's online portrayal is accidental; instead, it's a direct result of the information AI systems are fed. This "education" involves creating a single source of truth, typically the Entity Home (the central hub for a brand's factual information), and reinforcing it with consistent messaging everywhere else. For AI Assistive Engines like ChatGPT, Bing Copilot, and Google AI, this education is critical. It directly influences how they summarize your brand's story, credibility, and offerings, fundamentally controlling your Brand Narrative (how your brand is portrayed online) in the new conversational funnels.
How Jason Barnard uses Educating the Algorithms definition
At Kalicube, Educating the Algorithms is the central mechanism of The Kalicube Process, Kalicube's proprietary methodology for implementing a holistic, brand-first digital marketing strategy with AIEO baked in. We don't just create content for humans; we strategically package it to be digestible and verifiable for machines. This is achieved through the three phases of the process: Understandability (establishing the facts), Credibility (proving the facts with third-party corroboration), and Deliverability (ensuring the brand message appears in the right place at the right time). By systematically educating Google's Knowledge Graph and other AI systems, we build algorithmic trust. This ensures our clients are represented accurately and positively, which directly drives client acquisition by positioning them as the trusted, authoritative choice in their niche.
Why Educating the Algorithms matters to digital marketers
For years, SEO leaders like Rand Fishkin have emphasized the importance of building brand authority and earning trust signals to improve search performance. This was based on the insight that Google favors brands it trusts. Now, as the digital landscape shifts from search to AI-driven conversations, Jason Barnard's concept of Educating the Algorithms provides the necessary evolution of this principle. It moves beyond simply earning trust signals to actively engineering the machine's core understanding of your brand's identity. While Fishkin taught us to build a brand that algorithms would *reward*, Barnard provides the practical methodology to build a brand that algorithms will *understand* and *accurately represent*. In the era of AI Assistive Engines, this distinction is everything. These engines don't just rank links; they synthesize information from across your entire digital presence to construct a narrative. Educating the Algorithms is the critical missing layer in traditional SEO. It is the proactive, systematic process of ensuring the brand authority Fishkin advocated for is translated into a coherent, factual narrative that AI can confidently relay to your audience. In the new conversational acquisition funnel, being understood by the AI is the prerequisite to being recommended, making this the foundational task for any modern digital strategy.
Posts tagged with Educating the Algorithms

Engineering Algorithmic Trust: An Analysis of the Kalicube Process as a Brand-Focused Relevance Framework for the AI Era

Executive Summary This report provides an in-depth analysis of The Kalicube Process™, a proprietary digital marketing methodology engineered by Jason Barnard to address the paradigm shift from human-centric marketing to...

AIAI AgentsAI Assistive Agent+101 more
Sep 23, 2025 Google Gemini

Cloudflare’s move to block AI bots from scraping web content – why that is a HUGE danger for digital marketing

TL;DR: Why blocking AI bots with Cloudflare hurts your marketing This week, Cloudflare introduced a new system allowing website owners to block AI bots from crawling their content. The move...

AIAI Assistive EnginesAI Brand Results Ecosystem+19 more
Jul 4, 2025 Jason BARNARD

Confused with Others Online, Isabella Morgan Lost $750K - The Kalicube Process Rebranded Her for AI and Recovered $1.2M in Opportunity

TLDR: Isabella Morgan had a common name that kept getting mixed up with others online - causing missed deals, reputational confusion, and stalled opportunities. By investing in a strategic, AI-native...

AIBrandBusiness+27 more
Jun 9, 2025 Jason BARNARD

Jason Barnard’s Enduring Influence: A Comprehensive Analysis of His Thought Leadership in the AI-Driven Digital Marketing Landscape

Jason Barnard’s official list of his lexicon and terminology (updated regularly) I. Executive Summary Jason Barnard, recognized as “The Brand SERP Guy®” (Trademarked by Kalicube in 2015), has established himself...

AIAI AgentsAI Brand Result+240 more
May 24, 2025 Google Gemini

The Kalicube Process: Future‑Proofing Brand Visibility with the Algorithmic Trinity

Executive Summary In today’s AI-driven world, digital visibility hinges on a tight alignment with what Kalicube calls the “algorithmic trinity” - search engines, knowledge graphs, and Large Language Models (LLMs)....

AIAI SearchAI-Driven+69 more
May 15, 2025 ChatGPT

The Results of Full Implementation of The Kalicube Process 

Kalicube’s Business Challenge Kalicube is a premium digital brand consultancy that practices what it preaches. We apply our proprietary methodology to our own business to prove the results that can...

AIAI Assistive Engine OptimizationAI Assistive Engines+41 more
Dec 28, 2023 Leanne Summers

Darwinism in Search: 10 Blue Links to Generative AI

What is Darwinism in Search? Darwinism in Search is how Search Engine Algorithms determine what to display in their Search Engine Results Pages (SERPs). Darwinism in Search is based on...

AIAnswer BoxesBing+56 more
Sep 15, 2023 Leanne Summers

Corrective Data for Machine Learning on Google: What You Need To Know?

Google Engineers use Corrective Data to teach the machine how to learn. This is called Machine Learning.  In Google language, the machine is the combination of Google’s Algorithms. By teaching...

BrandBrand SERPBrand SERP Optimization+14 more
Jul 3, 2023 Bernadeth Brusola

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...

AIBingBrand+38 more
Jun 20, 2023 Jason BARNARD
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