DiscoverThe Unscripted SEO Interview PodcastExploring Entity Optimization and AI with Jason Barnard
Exploring Entity Optimization and AI with Jason Barnard

Exploring Entity Optimization and AI with Jason Barnard

Update: 2025-09-10
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Unscripted SEO Show Notes: Entity Optimization with Jason Barnard


Episode Overview


Jeremy Rivera interviews Jason Barnard of KaliCube about entity optimization, AI assistive engines, and the future of search. This conversation explores practical strategies for controlling your digital footprint and optimizing for modern search systems.

Explore the COMPLETE Episode, and read the deep dive on SEO Arcade for further topical exploration in the same field of entities, Ai and SEO.




Guest Bio: Jason Barnard


Jason Barnard is the founder of KaliCube and a pioneer in entity optimization. He started in 1998 with a children's website that grew to one billion page views in 2007, competing with BBC and PBS. In 2012, he successfully changed Google's perception of him from "cartoon blue dog" to "respected entrepreneur and digital marketer" - becoming one of the first to master entity transformation.




Related Episodes You'll Love


Similar Deep Dives: If you enjoyed this conversation about entities and AI, check out our interview with Mark Williams Cook on technical SEO innovations where we explored how machine learning is reshaping technical optimization strategies.


Foundational Concepts: For more on search evolution and brand building, don't miss our conversation with Rand Fishkin on the future of SEO. Rand's perspective on sustainable organic growth strategies pairs perfectly with Jason's entity optimization methodology.




Key Takeaways



  • The Algorithmic Trinity: All modern AI systems (Google, ChatGPT, Perplexity) are built on three core technologies - LLM chatbots, knowledge graphs, and search results - all fed from the same data source: the web. Controlling your digital footprint impacts all three simultaneously.

  • Entity Optimization Timeline: Search results update within a week, knowledge graphs take about three months to reflect changes, while LLM training data requires up to a year. Understanding these timelines helps set realistic expectations for entity optimization campaigns.

  • Industry-Specific Authority Matters: Authority isn't universal - IMDB dominates for movies, Crunchbase for business, legal directories for law. The key is identifying which platforms algorithms trust within your specific industry rather than chasing generic high-authority domains.

  • The Claim-Frame-Prove Method: Establishing expertise requires making a claim, framing it within existing knowledge structures, then getting others to corroborate it. This creates "truth" through repetition and consensus, which AI systems then recognize and amplify.




Best Quotes from the Interview



"Which part of the web do you control? Your own digital footprint." - Jason Barnard




"Truth becomes reality due to people repeating it. What you realize is that people sometimes just repeat what they've heard and they don't actually have an opinion." - Jason Barnard




"If you can organize your data source to be logical (because machines are logical), to be meaningful and valuable, and make sure you're connecting out to the proof that what you're saying is true... then you're onto a winning mindset." - Jason Barnard




"Understandability is the foundation. If you don't have that, you're not even in the game." - Jason Barnard





The Evolution from Webmaster to Entity Optimizer


Jeremy Rivera makes the case for bringing back the "webmaster" title, arguing it better describes modern SEO work: integrating signals across email, organic search, entity creation, and website connections to change perception and drive traffic.


Jason's Journey: Starting in 2012, Jason realized it wasn't just his website but his entire digital footprint that needed optimization. While traditional SEO focused purely on websites, he was already optimizing across Facebook, review sites, articles, and social media profiles.


The breakthrough came in 2015 with Hummingbird and Google's shift from strings to things, leading to the creation of KaliCube.




Brand Search and Google's Gaslighting


The conversation reveals how Google representatives like John Mueller and Gary Illyes function as "public relations people" who carefully word statements to avoid giving away ranking factors.


Key insight: When they say "clicks don't change rankings directly," the word "directly" is their escape clause.


Jason's interviews with Bing team leads (Fabrice Canal, Nathan Chalmers, Frederick D'Bou) revealed more transparent information since "they have nothing to lose." This led to early insights about the whole page algorithm, later confirmed by Google as the Magic Mixer.




The Algorithmic Trinity Framework


Core Concept: All modern search systems use three interconnected technologies:



  1. LLM chatbots for conversation

  2. Search results for current/niche information

  3. Knowledge graphs for fact-checking


Critical insight: All three feed from the same data source - the web. Since you control your digital footprint, you can influence all three systems simultaneously.


Timeline expectations:



  • Search results: 1 week

  • Knowledge graphs: 3 months

  • LLM training: 1 year




Industry Authority and the Medic Update


Discussion of the medic update reveals how "distance from seed sites" became a crucial ranking factor. Chiropractors with superior content couldn't compete with WebMD's direct connections to authoritative medical institutions.


Jason's data identified four knowledge sources:



  1. Google Knowledge Verticals

  2. Wikipedia and highly trusted sources

  3. Second generation (one step from seed)

  4. Further removed sources


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Exploring Entity Optimization and AI with Jason Barnard

Exploring Entity Optimization and AI with Jason Barnard

Jeremy Rivera