Knowledge Graphs

Tools like ChatGPT don’t think in “keywords” the way SEO does — they build entity maps (people, places, products, brands, relationships).
Structured data (schema markup, knowledge graphs) makes it easier for AIs to recognize your brand as an entity and connect it to your category, products, and authority.

Schema markup (Organization, Product, FAQ, HowTo, Review, etc.) provides contextual signals in a format that AIs can parse quickly.
Without structured data, AI may overlook or misinterpret your content.
With structured data, AI can pull direct answers, product specs, FAQs, and attributes straight into responses.

ChatGPT and other LLMs lean heavily on structured knowledge sources like Wikidata, Google’s Knowledge Graph, and industry databases.
If your brand is absent from these graphs, AI may fail to associate you with your category — or worse, default to citing your competitors.

Specialized knowledge bases (Crunchbase for startups, IMDB for media, Healthgrades for healthcare, TripAdvisor for travel) feed directly into AI training and retrieval.
Being present and complete in these directories strengthens your authority footprint.

Tactics

Implement Schema Markup on Your Site
- Organization schema → brand info, logo, sameAs links.
- Product schema → product specs, ratings, availability.
- FAQ schema → common customer questions.
- Author schema → expertise, linked profiles.
Ensure Your Brand Exists in Wikidata
- Wikidata is a central knowledge base powering both Wikipedia and Google’s Knowledge Graph.
- Add or update your entity entry with accurate brand details, aliases, and links.
Optimize Knowledge Graph Entries
- Claim and update your Google Knowledge Panel.
- Ensure consistent NAP (name, address, phone) and branding across platforms.
Align With Industry Directories
- Add and maintain accurate profiles in sector-specific databases.
- Example: Crunchbase (business), IMDB (media), Healthgrades (medical), TripAdvisor (hospitality).