Latest / The SEO Podcast with Fexingo: Search Engine Optimization, Google Rankings, and Organic Traffic / How Google Uses Entity Clusters for SEO in 2026
Transcript
- Lucas: So I was digging through Search Console data over the weekend, and I kept noticing something. For a site we manage, the pages that were ranking weren't just targeting keywords, they were covering what felt like a whole web of connected topics. Luna: Yeah, that's been a pattern I've seen too. It's like Google isn't just looking at individual pages anymore, it's looking at how they all fit together. Lucas: Exactly. And that's what today's episode is about: entity clusters. The idea that Google's Knowledge Graph is grouping together related people, places, things, and concepts, and then using those clusters to understand the context of your content. Luna: And if you're not structuring your site around those clusters, you're probably leaving rankings on the table. Lucas: Right. But before we dive into the deep end, I want to mention something that's been on my mind. We do this podcast without any ads, and that's a choice we've made because we think you should get this information without interruptions. Luna: And it's a choice we can only keep making because of listeners who support us. If you've ever gotten value from these conversations, and you want to keep them ad-free, you can support us at buy me a coffee dot com slash fexingo. Lucas: It's a simple way to keep the lights on, and it means a lot. Now, back to entity clusters. So what exactly are they? In simple terms, an entity is a distinct object or concept that Google can identify and understand. A person, a place, a company, a product, even an abstract idea like 'sustainability'. Luna: And a cluster is when Google sees that multiple entities are related. Like, if you search for 'electric vehicles', Google knows that Tesla, battery technology, charging stations, and even policy debates are all connected. Lucas: Exactly. And the Knowledge Graph is what powers that understanding. It's a massive database of entities and the relationships between them. Google has been building it for years, pulling data from sources like Wikipedia, Wikidata, and even your own website's structured data. Luna: So when you create content that covers multiple entities in a cluster, you're basically signaling to Google that you're an authority on that whole topic. Lucas: And that's where it gets interesting for SEO. Because instead of just targeting a single keyword like 'best electric cars', you might create a whole set of pages that cover related entities: charging infrastructure, battery range, tax incentives, environmental impact. Together, those pages form an entity cluster. Luna: And Google can see that your site covers the entire ecosystem, not just one piece of it. That's what builds topical authority. Lucas: Right. And we've seen this in action. There's a study from a few years back that looked at how Google's search results changed when they introduced the Knowledge Graph. The number of results that included entities from the same cluster went up significantly. Google was actively trying to surface content that was related to the entities in your query. Luna: So it's not just about the words on the page, it's about the concepts and how they connect. Lucas: Exactly. So let's talk about how you can actually apply this. The first step is to identify the entities that are relevant to your niche. You can start with a simple tool like Google's autocomplete, but more importantly, you can use something like the Knowledge Graph API to see what entities are associated with your main topic. Luna: Or even just search for your main topic and look at the 'People also ask' and 'Related searches' boxes. Those are goldmines for entity discovery. Lucas: Absolutely. And once you have a list of entities, you need to map out the relationships between them. You can do this with a simple spreadsheet or a mind-mapping tool. But the goal is to create a visual representation of your entity cluster. Luna: And then you look at your existing content and see what's missing. What entities aren't you covering yet? That's your content gap. Lucas: Right. So let's use a concrete example. Say you run an SEO blog, like we do. Your main entity might be 'search engine optimization'. Related entities could be 'Google algorithms', 'keyword research', 'backlinks', 'on-page SEO', 'technical SEO', 'local SEO', 'voice search', 'mobile-first indexing', and so on. Luna: And each of those is a potential pillar topic. You create a comprehensive guide on each one, and then you interlink them all. Lucas: Exactly. And that's where internal linking comes back into play, but with an entity-focused approach. Instead of just linking with generic anchor text like 'click here' or 'read more', you use descriptive anchor text that mentions the specific entity. So you might link to our podcast episode on internal linking with the anchor text 'how Google uses internal linking for SEO'. Luna: That helps Google understand the relationship between the two pages and reinforces the cluster. Lucas: Now, another important aspect is structured data. By adding schema markup to your pages, you're helping Google identify the entities on your page and how they relate to each other. For example, you can use 'Organization' schema to mark up your company name, logo, and contact info. Or 'Product' schema for your products. Luna: And for content-heavy sites, 'Article' schema is a no-brainer. But you can also use 'FAQPage' schema for your FAQ sections, which can help you appear in rich results. Lucas: So, structured data is like a cheat sheet for Google's Knowledge Graph. It explicitly tells Google what entities are on your page and how they're related. Without it, Google has to guess, and it might not always get it right. Luna: But there's a balancing act. You don't want to stuff schema markup everywhere. Just on the pages where it makes sense. Lucas: Right. Now, let's talk about a real-world case. There's a local bakery that wanted to rank for 'best sourdough in Portland'. Instead of just creating one page targeting that keyword, they created a series of pages: one on the history of sourdough, one on the science of fermentation, one on their own baking process, and one on local grain suppliers. Luna: And they linked them all together with entity-focused anchors. Like 'wild yeast fermentation' or 'Oregon-grown wheat'. Lucas: Exactly. Within a few months, they saw a significant boost in rankings for not just 'sourdough Portland', but also for related terms like 'artisan bread Portland' and 'fermented dough recipes'. Luna: Because Google saw them as an authority on the entire sourdough and artisan baking ecosystem, not just one page. Lucas: So the takeaway is clear: stop thinking in keywords, and start thinking in entities and clusters. It's a shift in mindset, but it aligns with how Google actually processes information. Luna: And it's not just for informational content. Even e-commerce sites can benefit. If you sell running shoes, you might have entities like 'cushioning technology', 'foot strike patterns', 'marathon training', 'trail running', and 'shoe durability'. Lucas: That's a great example. By creating buying guides and comparison content around those entities, you're not just selling shoes, you're building a resource that covers the whole running domain. And that's what earns you that topical authority. Luna: But how do you actually measure whether your entity cluster strategy is working? Is it just rankings, or is there something else to watch? Lucas: Good question. Beyond rankings, you should look at your organic visibility for a set of related keywords. Tools like Ahrefs or SEMrush can show you a list of keywords you rank for, and you can group them by topic. If you see that you're ranking for a lot of keywords in a cluster, that's a good sign. Luna: Another metric is branded search volume. If people are searching for your brand or your site name after reading your content, that's a strong indicator of growing authority within that cluster. Lucas: Absolutely. And you can also track the number of entities Google associates with your site. There's no direct metric for that, but you can use tools like Google's Natural Language API to analyze your content and see what entities it recognizes. If you're consistently covering the same related entities, you're on the right track. Luna: So, to sum up, entity clusters are about understanding how Google organizes knowledge and then aligning your content strategy with that structure. Lucas: It's a more sophisticated approach than keyword stuffing, and it's the direction SEO is heading. As Google's algorithms get more semantic, being an entity cluster authority is going to matter more and more. Luna: And the sooner you start mapping out your clusters, the sooner you'll be ahead of the curve. Lucas: So here's a challenge for you: pick your niche, list out five to ten related entities, and see how your current content stacks up. You might be surprised at what you're missing. Luna: And if you need a starting point, check out the Knowledge Graph API. It's free for a certain number of queries, and it's a great way to see the relationships Google already has mapped. Lucas: That's a great resource. And of course, we'll be diving deeper into specific aspects of entity SEO in future episodes, so stay tuned.