What Is a Knowledge Graph?
A knowledge graph is a structured database of entities — real-world things like businesses, people, places, and concepts — and the relationships between them. It represents the world not as a collection of documents, but as a network of facts.
A simple example: the knowledge graph knows that "HeyPearl" is a company, founded in Seattle, that provides AI Authority services, which is a type of digital marketing service. Each piece of information is a fact, and each relationship between entities is an edge in the graph.
This structure lets AI systems answer questions like "What does HeyPearl do?" or "Which AI marketing companies are in Seattle?" by traversing the graph — not by searching keywords.
Google's Knowledge Graph
Google's Knowledge Graph is the most consequential knowledge graph for most businesses. It powers the Knowledge Panels that appear when you search for a business or person, contributes directly to AI Overview generation, and forms the factual backbone of Google Gemini's responses.
Google's Knowledge Graph contains billions of entities drawn from a combination of sources:
- Wikidata and Wikipedia (highest authority)
- Google Business Profiles
- Official business websites with schema markup
- High-authority third-party sources (Crunchbase, LinkedIn, industry directories)
- Consistent signals across the broader web
How Your Business Appears in Knowledge Graphs
Your business enters a knowledge graph through a process of entity recognition: Google's systems identify that a distinct, real entity exists based on corroborating signals across multiple sources.
The richness of your knowledge graph entry depends on how complete and consistent those signals are. A business with a full Google Business Profile, a detailed website with schema markup, Wikidata presence, and broad directory coverage will have a more complete knowledge graph entry than one with only a Google Business Profile.
What a complete entry looks like
- Business name (exact, consistent)
- Business category and sub-category
- Physical address and service area
- Phone number, website, email
- Operating hours
- Services offered (with descriptions)
- Credentials and certifications
- Founding date and history
- Key personnel (founders, agents, etc.)
- Reviews and rating aggregate
- Associated entities (parent company, related businesses)
Building Knowledge Graph Presence
Start with Google Business Profile
A complete, verified Google Business Profile is the most direct path to Knowledge Graph entry for most local businesses. Every field matters — categories, services, attributes, photos, and posts all contribute to completeness.
Implement schema.org markup
On your website, implement LocalBusiness (or more specific types like RealEstateAgent or MedicalBusiness) schema markup with all relevant attributes. This is the technical bridge between your website and your knowledge graph entry.
Build Wikidata presence
For businesses with sufficient notability, a Wikidata entity is a high-value addition. Wikidata is a primary source for Google's Knowledge Graph. Entries should be factual, sourced, and maintained.
Expand directory presence
Each consistent mention of your business across authoritative directories (Yelp, LinkedIn, industry-specific platforms) adds corroboration to your entity, strengthening the knowledge graph signal.
Knowledge Graph Completion Score
HeyPearl measures Knowledge Graph Completion as a percentage: what proportion of a fully-optimized knowledge graph entry does your business currently have?
A typical audit reveals:
- 90%+ completion: strong entity presence, minimal AI citation risk
- 70-89% completion: some gaps that create citation uncertainty
- 50-69% completion: significant gaps; AI systems may default to competitors
- Below 50%: entity may not be reliably recognized; recommendation probability is low
The specific gaps that matter most are often small: a missing business category on a key directory, inconsistent phone number format, or absent schema markup on a key service page.
Common Mistakes
- Different business names across platforms ("Smith Realty" vs. "Smith Realty Group" vs. "The Smith Group")
- Outdated address information on older directory listings
- No schema markup, or schema that contradicts Google Business Profile data
- Missing service descriptions — just listing "Real Estate" instead of specific service types
- Ignoring employee/agent profiles that contribute to the entity's relationship graph
Glossary
Knowledge Graph
A structured database representing entities and their relationships as interconnected facts, used by AI systems to understand the real world.
Knowledge Panel
The Google-generated information panel that appears in search results for recognized entities, drawn from the Knowledge Graph.
Wikidata
A free, collaborative knowledge base that serves as a primary factual source for Wikipedia, Google, and other AI systems.
Entity
A distinct, identifiable real-world thing — a business, person, place, or concept — that knowledge graphs represent as a node with attributes and relationships.