A structured database of entities and relationships that AI uses to understand connections.
A knowledge graph is a structured representation of information that maps entities (people, places, companies, products) and their relationships. Major AI systems use knowledge graphs to understand how concepts connect. Being represented in knowledge graphs—whether Google's, Wikidata, or AI-specific graphs—helps AI systems accurately understand and recommend your brand in relevant contexts.
We work to establish and strengthen your brand's knowledge graph presence, improving how AI systems understand your position in your market.
Knowledge graph presence helps AI understand your brand's context, relationships, and relevance. Brands in knowledge graphs are more likely to be accurately represented in AI responses.
Your company's entry in Google's Knowledge Graph
Connections showing your product's category and competitors
Relationships linking your brand to industry terms
Presence on authoritative sources like Wikipedia, strong structured data, and consistent information across the web all contribute to knowledge graph inclusion.
Google's Knowledge Graph, Wikidata, and the implicit knowledge graphs within LLMs are all important. Optimizing for one often helps with others.
Agentic commerce is the next wave of e-commerce — AI agents completing purchases autonomously on behalf of customers. This guide explains what it means, how Shopify is building for it, and how to prepare your store.
Use AI customer segmentation on Shopify to predict purchases, automate RFM analysis, prevent churn, and time your next-purchase campaigns perfectly.
Set up AI fraud detection on Shopify to prevent chargebacks and fraudulent orders. Compare Shopify Protect, fraud analysis tools, and custom risk rules.
Get a free audit to see how your brand appears across ChatGPT, Claude, Perplexity, and other AI platforms.