SEO – Glossary and FAQ

Learn the SEO terms that matter for Entity-Based Search, AI-driven visibility, and digital brand authority. This glossary and FAQ series defines foundational and advanced concepts through Kalicube’s lens—covering Brand SERPs, Generative Engine Optimization, Brand-Trigger Phrases™, and more. Each entry is crafted to support The Kalicube Process™ and clarify the terminology shaping modern SEO for both humans and AI Assistive Engines.

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Context of Credibility in SEO: What You Need To Know

What does Credibility mean? Credibility is how trustworthy, reliable, and authoritative a source or content is. In the context of Google and search engine optimization (SEO), credibility is how believable...

The Kalicube Process Gives You SEO Results

What is The Kalicube Process™? The Kalicube® Process is a set of steps designed by Kalicube Pro™ to educate search engines about a business’s Brand. It is a strategy that...

Entitization in SEO: What You Need to Know

What is Entitization in SEO? Entitization in SEO means Google’s Algorithms explicitly understand and recognize an entity as important. When Google recognizes your entity, it lists the entity in its...

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...

Entity Subtitle on Google: What You Need To Know

What is an Entity Subtitle? An Entity Subtitle, in the context of Google Knowledge Panels, is the word that appears below the entity name (thing, person, place, company). It is...

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

In this article you’ll learn more about the concept of Reinforcement Data, its importance for machine learning and its applications for online presence optimization and search engine results. What is...

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...

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Beginner’s In-Depth Guide to Search Engine Optimization and How it Works

Originally published on SEMrush December 23, 2020 (Jason Barnard) What is SEO (Search Engine Optimization)? SEO is the art and science of convincing search engines, such as Google, Yahoo, and Bing...

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...

Entity Reconciliation in SEO: What You Need To Know

In this article, you will learn how search engines like Google gather fragmented information about entities from various online sources and consolidate them into a cohesive whole, why it’s important...