Let’s Talk About “Associative Networks” in the Context of SEO/GEO: A Hamsterdam Marketing Lesson

By Ethan Lazuk

Welcome to another edition of Hamsterdam Marketing! 🐹

This is a project where we examine marketing topics to learn about their fundamental concepts and apply them to the context of SEO/GEO.

This time, we’ll be looking at associative networks.

Memory can be thought of as a network of connected concepts. A brand becomes easier to retrieve mentally when it has many strong and relevant connections to buying situations. This is the theoretical foundation beneath mental availability.

In an SEO/GEO context, LLMs also operate through relationships among concepts, entities, contexts, and language patterns. Thus we can explore the fascinating parallel between brand associations in human memory and entity or semantic associations in AI retrieval.

What Are Associative Networks?

An associative network is a model of memory in which concepts are stored as interconnected nodes. When once concept is activated, that activation can spread to related concepts, making theme easier to recall. In marketing, a brand is one node connected to things like product attributes, benefits, occasions, people, emotions, categories, and buying situations.

For example, the mental network around Nike might include: Nike → running → athletes → sneakers → performance → Air Jordan → sports → “Just Do It.”

An important aspect of an associative network is that marketers are not just trying to make a brand known, but they are also trying to build useful pathways back to the brand.

In short, the associative network is a store of knowledge consumers draw upon when choosing among brands, and the larger the network, the more potential pathways by which a brand can come to mind.

The SEO/GEO Connections of Associative Networks

You likely already see parallels between associative networks and Googles Knowledge Graph, which represents real-world entities, such as people, organizations, places, and websites, as nodes.

Using associative-network thinking, the fundamental SEO question shifts from “What keyword do I want this page to rank for?” to “What concepts should search systems consistently associate with this brand or entity?”

Thus the strategic idea behind associative networks and SEO strategies is similar: provide enough clear, consistent information that the entity and its relevant concepts are easy for a person or system to understand.

This also means that as SEO/GEO practitioners, we might think about brand visibility as an association problem, for example:

Suppose the user’s question is “What’s a good technical SEO tool for crawling large websites?” Ideally you’d want something like this: technical SEO → crawling → large websites → Screaming Frog to exist in the information environment.

To create those associations, the system might pull from pages it retrieves, citations, previous training data, external mentions, structured facts, or other signals available.

In other words, don’t just try to make an AI system know your brand. Build evidence connecting your brand to the situations, problems, categories, attributes, and concepts for which you want the brand retrieved.

Takeaways

Human associative memory and an LLM’s internal representations are not the same thing, but by thinking about SEO/GEO from an associative-networks framework, we can picture a brand as web of connected entities and associations.

Just as brands become easier for consumers to retrieve when they’re connected to relevant ideas and buying situations, brands may be easier for search and generative systems to retrieve, understand, and recommend when the web contains clear and consistent evidence connecting that entity to relevant topics, attributes, and use cases.

See you next time!

I hope you’ve found this discussion around associative networks helpful for your SEO/GEO strategy.

Stay tuned for a new Hamsterdam Marketing lesson soon.

And if you want a hand with your SEO/GEO strategy, get in touch with me. I’m an independent consultant based in New York City.

Until next time, enjoy the vibes:

Thanks for reading. Happy optimizing!