James Dooley: Brand entity SEO explained specifically for business owners. Today I'm joined with Jason Barnard from Kalicube. It's part three in a whole playlist series and I want to go straight into these data points that Kalicube has got. So Jason Barnard, you track 17 million brand entities and 25 billion data points across Google, ChatGPT, Perplexity and other LLMs. When a business owner asks you why that even matters, what do you tell them?

Jason Barnard: Thank you for having me James Dooley for the series. It's actually a lot of fun so far. I'm enjoying it. 25 billion data points is a lot but also it is not a lot in the sense that if you ask Semrush or Ahrefs how many data points they have, I am sure it is in the thousands of billions. The difference is that our dataset is focused on entrepreneurs and their companies. It is incredibly clean and I built it personally. We have 25 billion today but a couple of years ago we only had three billion. You can imagine we are scaling up very fast. It took seven years to build the first three billion data points. The key thing was making sure those foundational data points were pristine and focused on entrepreneurs. We have one million entrepreneurs in our system and we understand their digital footprints extremely well. We only scaled the dataset in the last two or three years because I can compare the new data to the old data and ensure the quality remains pristine. The reason our data matters is because it is focused and clean, which produces much more accurate insights.

Jason Barnard: I will give a quick example. I worked with Semrush a few years ago on an article about rich elements and search features. They sent me some data and I knew it was wrong. I have a degree in economics with statistical analysis and the numbers were clearly off. I sent it back and they reviewed it and confirmed it was incorrect. Their dataset is enormous but sometimes it is so vast that irrelevant data interferes with the analysis. At Kalicube we avoid that because the dataset is focused and clean.

James Dooley: But I want to bring this back to business owners. If I run a business, why should I care what Google’s knowledge graph thinks about me?

Jason Barnard: From a business perspective it matters because if I can tell you how Google, ChatGPT and Perplexity perceive your market, I can position you at the centre of that market. Our data identifies how competitors cluster together and reveals the connections between them. When you position your brand in the middle of that cluster and establish the strongest credibility signals, the machines recommend you as the best solution. We talked in another episode about getting search engines and AI systems to become your recommender. When someone searches for a solution, the engine should recommend your company above the competition.

James Dooley: In another episode we talked about the algorithmic trinity which includes web search, the knowledge graph and LLMs. I want to focus on LLMs because you said AI should be treated like a sales team. Can you explain that idea for business owners?

Jason Barnard: If you treat AI as employees rather than an enemy algorithm, the objective becomes training those machines to act on your behalf. When someone searches for your brand at the point of conversion, the AI should function like a salesperson who closes the deal. If the AI describes your brand incorrectly you lose conversions. If it communicates your value clearly you reduce leakage. We estimate that poor AI messaging can create about fifty percent leakage at the conversion stage. By training the machines correctly you can reduce that leakage significantly. At the comparison stage the AI also acts like a sales representative. It should explain why your company is the best option. At the top of the funnel the AI acts as an advocate by introducing your brand to potential customers.

James Dooley: To simplify that for business owners who focus on profit and return on investment, how does this translate into revenue?

Jason Barnard: Many businesses spend heavily on acquisition channels that push people into their funnel. The assumption is that those prospects will convert. But there is leakage in the middle and at the bottom of the funnel. If AI systems describe your competitor as equal or better than you, you lose that sale. If the AI consistently recommends you as the best option, you win the sale. That is the revenue connection.

James Dooley: In another video we discussed the zero sum moment. That is when a buyer compares two suppliers and decides who to choose. When we improved our brand presence online with testimonials, reviews and proof points we won the biggest job our company had ever secured. The client told us the price difference between competitors was small but the online reputation difference was massive.

Jason Barnard: That is a great example. I often ask clients whether they are the best in their market. They all say yes. Then I ask them to show the proof online. Usually they cannot. They may have some reviews or testimonials but that is rarely enough. Machines require clear evidence. You must demonstrate credibility through third party validation and consistent proof. When the AI reaches the zero sum moment and someone asks which company they should choose, it needs to recommend you.

James Dooley: For a business owner with limited time and budget, where should they start?

Jason Barnard: Start by identifying who you serve, how you serve them and why you are the best option. Most business owners struggle to summarise that in two sentences. We call this the executive summary of the brand. For example, Kalicube is a premium digital consultancy that helps entrepreneurs convert customers at every stage of the funnel through AI. That statement defines who we serve and why we are credible. Once you define that message you must spread it across the web, support it with third party evidence and ensure your website clearly communicates it. Your website should state who you are, explain who your audience is and link to the proof that validates your claims.

James Dooley: The big takeaway for business owners is that AI is no longer just about search rankings. AI is becoming part of your digital sales team. When someone compares two companies and asks an AI system which one to choose, the AI should recommend your brand.

Jason Barnard: Exactly. That is what Bing calls the perfect click. People talk about zero click searches where users never visit websites. What matters is getting the perfect click. When someone asks which company to choose and the AI recommends you, that is the perfect click. Even if you receive fewer clicks overall, if your conversion rate doubles you generate more revenue.

James Dooley: I hope everyone enjoyed this episode. This is part three of the playlist. Jason Barnard, it has been a pleasure.

Jason Barnard: See you again soon James Dooley.