Brand Entity SEO 2026 - Knowledge Graph Optimisation (James Dooley Interviews Jason Barnard)

**James Dooley:** Brand entity SEO in 2026. So many people are talking about it. So many people are now understanding that this is the most important part of search engine optimisation. So Jason, you’ve been working with knowledge graphs since 2015, a long time before everybody else. What’s changed now in 2026? **Jason Barnard:** A really big thing with the knowledge graph is that it used to be this niche, geeky thing that I was obsessed with, but nobody else cared about except for the knowledge panel, which people liked but never thought was important. Now it is fundamental to modern SEO, answer engine optimisation, generative engine optimisation, what I call AI assistive engine optimisation. All AI assistive engines use the algorithmic trinity. That is search engines, LLM chatbots, and the knowledge graph. The knowledge graph is about fact checking. It has moved from a niche SEO topic to the central foundation of entity optimisation, which now underpins modern SEO. **James Dooley:** I hear so many people talking about brand entity SEO now, but you were the only person I heard talking about it back in 2015. You were the first person I knew who spoke about knowledge graphs. Is this just about Google, or is it bigger than Google? **Jason Barnard:** That’s a great question. People forget that Google has multiple knowledge graphs. Bing has a huge knowledge graph. ChatGPT also has a knowledge graph. Andrea Volpini at WordLift has now proven that ChatGPT has an internal knowledge graph. Right now, it is built inside the LLM using parameters, which behave like nodes, but because it lives inside the model it is unreliable. They will extract it and create a separate knowledge graph. They have to. **James Dooley:** How does Google’s knowledge graph connect to ChatGPT or Perplexity when it comes to understanding a brand? **Jason Barnard:** Google’s knowledge graph is proprietary, but if Google understands you well enough to accept you as an entity node, every other AI will have a similar understanding. They all use the same data source, the web index. What they all read is your digital footprint. If it is clean, consistent, and coherent, they understand who you are, what you do, and who you serve. That is the foundation of entity SEO. **James Dooley:** You often say that Google is like a child and needs to be educated. What does educating the algorithm actually mean in practice? **Jason Barnard:** It means explaining clearly what it needs to understand. You can treat algorithms like underperforming employees. They are not recommending you because they do not understand you properly. You educate them by optimising your digital footprint across the entire web, not just your website. SEO has moved from on site to web wide. You say who you are on your site, then make sure all corroborating sources say the same thing. That creates a self confirming loop. **James Dooley:** For people watching this, some will have a knowledge panel and some will not. What is the priority order? **Jason Barnard:** Build your entity home page. That is your about page. Google calls it the point of reconciliation. Some call it the entity canonical. I call it the entity home. Explain who you are, what you do, and who you serve. Make the HTML clean and clear. Put the most important information first. Do not start with your life story. Add schema markup to confirm what you are already saying on the page. **James Dooley:** Would you always recommend a personal website as an entity home for individuals? **Jason Barnard:** Yes. If you do not, the machines default to LinkedIn or social platforms. You are renting that space. Why would you give your identity to a rented platform when you can own it? The algorithms are actively looking for an entity home. You should give them one you control. **James Dooley:** What are people doing wrong with knowledge graph optimisation? **Jason Barnard:** They obsess over Wikipedia. Wikipedia is tiny. It is six million articles. Google’s knowledge graph has tens of billions of entities. Wikipedia is a fraction of a percent. People waste time and money chasing Wikipedia pages they will never get. Instead, they should optimise the sources that Google, ChatGPT, and Perplexity already trust, such as business databases and authoritative platforms. **James Dooley:** Can you explain the algorithmic trinity for anyone new to this? **Jason Barnard:** AI assistive engines use three systems. LLM chatbots for conversation. Search engines for new or niche information. Knowledge graphs for fact checking. The chatbot talks. The search engine looks things up. The knowledge graph verifies facts so the AI does not lose trust. Every major AI uses this same structure. **James Dooley:** I want to close by saying thank you. Jason Barnard at Kalicube was the first person I know who talked about knowledge graphs. You opened up this whole way of thinking for the SEO industry. **Jason Barnard:** Thank you. That means a lot. Cheers. **James Dooley:** Bye bye. Thanks.