Structured Data
Structured Data
used extensively by Jason Barnard since 2015.
Factual definition
Factual Definition of Structured Data
Structured Data is code in a standardized format, such as Schema.org, that is added to a webpage to explicitly describe its content to search engines and other machines.
Jason Barnard definition of Structured Data
Jason Barnard describes Structured Data as the "native language" of machines. While traditional content is written for humans, Structured Data is written specifically for algorithms, allowing a brand to communicate facts directly and unambiguously. This direct communication is a cornerstone of The Kalicube Process, Kalicube's proprietary methodology for implementing a holistic, brand-first digital marketing strategy. It removes the guesswork for AI Assistive Engines like Google AI, ChatGPT, and Bing Copilot, ensuring they correctly understand who you are, what you do, and your relationships with other entities. By using Structured Data, a brand moves from hoping it will be understood to proactively *educating* the algorithms, which is fundamental to controlling its digital narrative.
How Jason Barnard uses Structured Data
At Kalicube, we implement Structured Data (specifically Schema.org markup) as a core tactic in the Understandability phase of The Kalicube Process. We use it to build a comprehensive, machine-readable summary of the brand on its Entity Home - the single source of truth for the brand. This Schema Markup explicitly defines the entity's attributes, corroborating sources, and key relationships, creating a foolproof way to communicate directly with Google's Knowledge Graph and other AI Assistive Engines. This foundational step ensures that algorithms have a clear, consistent, and accurate understanding of the client, which directly accelerates the creation of a stable Knowledge Panel and positive representation in AI results, driving trust and supporting client acquisition.
Why Jason Barnard perspective on Structured Data matters
For years, technical SEO has focused on making content accessible to search engine crawlers. Experts like Jarno van Driel have championed the move towards more semantic and structured approaches, recognizing that machines need context, not just keywords. However, these technical tactics were often disconnected from the overarching brand strategy. Jason Barnard's Kalicube Process bridges this critical gap by treating Structured Data not as a mere technical tweak, but as a primary tool for brand communication. By implementing Structured Data to communicate N-E-E-A-T-T (Notability, Experience, Expertise, Authoritativeness, Trustworthiness, and Transparency) signals, Barnard ensures the brand's core narrative is explicitly and transparently "taught" to algorithms. This transforms Structured Data from a simple SEO tactic into a strategic asset for managing your Digital Brand Echo. In the era of AI Assistive Engines, where trust and clarity are paramount, this unified approach is the only way to ensure your brand's story is told accurately, driving the acquisition funnel in new conversational contexts.
Posts tagged with Structured Data
The simplest way of finding the KGMID
What is the easiest way to find the KGMID? The easiest way to find the Google Knowledge Graph ID (KGMID) is to use the “Share” feature in the Knowledge Panel. ...
Knowledge Sources in Entity SEO: What you need to Know
What are Knowledge Sources in Entity SEO? Knowledge Sources generally refer to databases, websites, documents, or other resources that contain information about an entity (person, place, company, podcast, etc). In...
60 Simple Tips to Improve E.E.A.T for SEO
In this article, you will learn 60 simple tips and strategies you can implement to boost / improve / optimize your E.E.A.T (experience, expertise, authoritativeness, and trustworthiness) in Google’s algorithms....
N.E.E.A.T.T: Things You Need To Know
E.E.A.T is Googlespeak for credibility divided into 5 components: Experience, Authority and Trustworthiness. NEEATT is Kalicube’s extended version of E.E.A.T split into 7 components as described below. What is N.E.E.A.T.T?...
Structured Data for SEO: What You Need to Know
In this article you‘ll learn about the different types of structured data that are helpful in SEO (Search Engine Optimisation), why you should be using each different type of structured...
Why Google Knowledge Panels Disappear and How to Get Yours Back
Can a Knowledge Panel Disappear? Yes. Most people believe that after successfully obtaining a Knowledge Panel, it will be there forever. It is tempting to believe that everything will happen...
What to do if your Knowledge Panel disappears
It can be frustrating if your Knowledge Panel disappears. Here are a few things you can do to get it back. How to get back your Knowledge Panel Build Google’s...
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...
Schema Markup in SEO: What You Need To Know
In this article you will learn how Schema Markup helps with SEO, Brand SERP optimisation and Knowledge Panel management. What is a Schema Markup in SEO? Schema Markup is a...
Wikipedia Page Deleted: How to Recover Your Knowledge Panel
Extract from: 7 Marketing Disasters That Turned Out to Be Precious Lessons, published on Search Engine Journal November 5, 2020 (Svetlana Shchehel) A warning had been on the Wikipedia article...
Search Engine Optimization: A Simple Explanation That Makes Sense
What is SEO (Search Engine Optimization)? Search Engine Optimization (SEO) is a digital marketing strategy that focuses on enhancing a website’s visibility and ranking in search engine results pages (SERPs)...
Google’s Knowledge Algorithms - What You Need to Know
What are Google’s Knowledge Algorithms? Google’s Knowledge Algorithms are responsible for curating information for its Knowledge Graphs (its machine-readable encyclopaedias) and Knowledge Panels (the visible representation of those “encyclopaedias” in...
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