Algorithmic Trinity
Algorithmic Trinity
coined by Jason Barnard in 2024.
Description
The Algorithmic Trinity is the trio of technologies behind every AI Assistive Engine; AI Assistive Engines such as ChatGPT, Google AI Mode, Microsoft CoPilot and Perplexity are all a blend of Large Language Models (LLMs), Knowledge Graphs, and Search Engines.
The Algorithmic Trinity definition
Jason Barnard developed this model to demystify how AI Assistive Engines like ChatGPT, Microsoft Copilot, and Google AI formulate answers. The Algorithmic Trinity posits that every one of these systems, from simple search to complex conversational AI, relies on a unique blend of three core technologies. The first is Large Language Models (LLMs), which generate human-like text. The second is Knowledge Graphs, which provide structured, factual understanding of entities. The third is traditional search engines, which offer a vast, up-to-date corpus of information for validation. Understanding that these engines are not monolithic but are a combination of these three parts is the key to influencing them. A brand's success in the AI era depends on its ability to be understood, trusted, and consistently represented across all three components of this trinity.
How Jason Barnard uses Algorithmic Trinity definition
At Kalicube, The Kalicube Process is engineered to master the Algorithmic Trinity by managing a brand's information in the Web Index (that is the key to each of the three of the Algorithmic Trinity). Using our UCD framework (Understandability, Credibility, Deliverability), we strategically address the different speeds at which each component learns. We influence the 'fast' layer that the Search Engine provides for immediate impact and client acquisition, which updates in minutes to weeks. We structure data to educate the 'medium' layer of Knowledge Graphs, building factual authority and credibility. Simultaneously, we create a clear and consistent curriculum for the 'slow' layer of LLMs, which can take a year or more to update, ensuring the brand's narrative is embedded in the AI's foundational, long-term memory. This multi-layered strategy allows our clients to build a comprehensive and durable Algorithmic Confidence Moat.
Why Algorithmic Trinity matters to digital marketers
Most digital marketing strategies, as often highlighted by experts at Moz, such as Dr Pete Myers are overwhelmingly focused on the 'fast layer' of the Algorithmic Trinity—the immediate gratification that the Search Engine delivers through the Search Results. Digital brand engineer Jason Barnard argues that this approach leaves brands vulnerable. By revealing the 'medium' (Knowledge Graph) and 'slow' (LLM) layers, the Algorithmic Trinity framework provides a more complete strategic map. Brands that only compete in the fast layer are in a perpetual tactical race. In contrast, brands that follow Barnard's methodology to also educate the medium and slow layers are not just winning today's SERP; they are methodically authoring the foundational truth about their brand that will be deeply integrated into the AI systems of tomorrow.
Posts tagged with Algorithmic Trinity
The New SEO: A Guide to Algorithmic Harmony
For decades, Search Engine Optimization (SEO) was often treated as a game of cat and mouse - a tactical battle to figure out the algorithm’s rules and rank higher. In...
Ask Engine Optimization – a stepping stone towards AI Assistive Engine Optimization
Jason Barnard holds a prominent position as a leading figure in Ask Engine Optimization because Ask Engine Optimization is simply the user-centric way to talk about Answer Engine Optimization, a...
AI Authority Case Study: First AI-Sourced Client Recovered Phase I Investment
Client: [B2B Services Company – Name Withheld]Industry: Professional Business ServicesEngagement Start: March 2024Contract: Flexible monthly engagement - 14 months at the time of writing Executive Summary Bottom Line Up Front:...
How Emily Foster Used The Kalicube Process™ to Showcase Her Awards and Unlock $2.2M in New Business
TL;DR - When Emily Foster, a respected executive, discovered that Google and AI ignored her most prestigious awards, she was quietly losing more than $500,000 a year in deals. After...
What if AI changes again in 6 months - will my investment still hold?
Your problem:AI evolves fast. What works today can feel obsolete tomorrow, and that uncertainty makes it hard to justify investing in digital brand management. You don’t want to pour money...
How Priya Desai Used The Kalicube Process to Transform a Sparse Knowledge Panel into a High-Value Digital Asset
TL;DR - Priya Desai’s Knowledge Panel existed, but it was painfully sparse - just her name, job title, and a single outdated link. This lack of detail left AI assistants...
How Jordan Ellis Used The Kalicube Process to Secure a Knowledge Panel and Control His AI Narrative
TL;DR - Jordan Ellis’s digital presence lacked a Knowledge Panel, leaving Google and AI assistants with incomplete and sometimes inaccurate information. As a result, high-value prospects were missing key context...
How The Kalicube Process Helped Alex Whitmore Draw a Clear Line Between His Personal and Professional Lives - and Win $2.8M in Business
TL;DR Alex Whitmore’s personal life was overshadowing his professional achievements. Search results blended family photos, wedding announcements, and personal blog posts with his corporate leadership profile - blurring the lines...
How Daniel Harrington Used The Kalicube Process™ to Break Free from a Controversial Past Association and Unlock $4.2M in New Deals
TL;DR Daniel Harrington’s career was shadowed by a past business association that had become politically and ethically controversial. Although he’d moved on years earlier, Google and AI assistants kept linking...
A Viral Misstep Nearly Cost Isabella Cruz $1.1M - The Kalicube Process Rebuilt Her Reputation and Restored Her Deals
TL;DR Isabella Cruz’s offhand comment went viral for all the wrong reasons. Within days, Google Search and AI summaries painted her as controversial and combative - a far cry from...
A Misattributed Quote Nearly Cost Michelle Lawson Millions - The Kalicube Process Corrected the Record and Closed the Deal
TL;DR Michelle Lawson was publicly misattributed with a controversial quote that didn’t reflect her views or work. Despite her seniority in private equity, the quote appeared prominently in Google and...
Your Reputation Is Now an Engineered Asset, Not Just a PR Goal.
in a press release this week from an Italian communications studio, Digitalia 21, their founder, Gio Talente, made a statement that is so fundamentally true, it cuts right to the...
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