The graph of entities, concepts, sentiments, and competitor brands a language model associates with a given brand, surfaced through systematic probing and tracked over time.
A brand association network is the graph of entities, concepts, sentiments, and competitor brands that a language model links to a given brand — the model's internal map of what that brand means. It is not a static document but a probabilistic structure, distributed across the model's weights, that can be measured and tracked by repeated probing.
The network is surfaced through model probing: running Brand-to-Entity (B→E) and Entity-to-Brand (E→B) prompts systematically across many queries and multiple models. Each response yields a ranked list of associated entities. Aggregating those lists across thousands of runs produces frequency counts, average rank positions, and weighted association scores for every node in the network. The result is a structured view of which concepts cluster around a brand inside the model's memory.
A brand association network shows more than whether a brand appears in AI answers. It shows which product categories the model links it to, which competitors it groups it with, which quality signals it attributes to it, and — crucially — which associations are absent. A brand strongly associated with "affordable" but not with "reliable" has a legible gap in its network that content strategy can address.
The network also tracks change. Shifts in association strength after a campaign, a product launch, or a competitor's move are directly observable in subsequent probing rounds. This makes the network a dynamic measurement tool, not a one-time audit.
Associative Embeddedness measures how deeply a brand is woven into a model's memory — essentially the density and proximity of its network. Brand Authority describes how readily the model recalls a brand unprompted. The brand association network is the structural picture that explains both: which nodes exist, how strongly they connect, and where competitors sit in relation to your brand.
At DEJAN, we use AI Rank to collect and visualise these networks at scale, tracking how the graph evolves across models and over time.
