Knowledge graphs are structured databases that help AI systems understand entities and their relationships. Presence in key knowledge graphs is foundational for AI entity recognition and visibility.
Key Knowledge Graphs for GEO
Wikipedia
The most influential knowledge source for AI training. Wikipedia articles significantly boost entity recognition across all major AI platforms. Requires meeting notability guidelines through independent, reliable source coverage.
Wikidata
Structured data companion to Wikipedia. Lower notability threshold than Wikipedia itself. Provides machine-readable entity information that AI systems can directly query and use.
Google Knowledge Graph
Powers Google's understanding of entities. Influences Google AI Overviews directly. Built from multiple sources including Wikipedia, licensed databases, and web crawling.
Industry Databases
Sector-specific databases like Crunchbase (tech/startups), Bloomberg (finance), or professional registries. Valuable for establishing authority within specific verticals.
Building Wikipedia Presence
Understanding Notability
Wikipedia requires "significant coverage in independent, reliable sources." Key points:
- Sources must be independent (not press releases or paid content)
- Coverage must be significant (more than passing mentions)
- Multiple sources required (not just one article)
- Sources must be reliable (editorial oversight, fact-checking)
Building Notability
Strategies to earn Wikipedia-worthy coverage:
- Pitch stories to journalists and publications
- Publish original research that gets cited
- Win industry awards with media coverage
- Achieve milestones newsworthy to your industry
- Contribute thought leadership to respected outlets
Important: Never attempt to write your own Wikipedia article or pay someone to do so. Wikipedia prohibits paid editing and self-promotion. The path is earning coverage that independent editors recognize as notable.
Creating Wikidata Entries
Wikidata has lower requirements than Wikipedia and can be created directly:
Steps to Create a Wikidata Entry
- Create a Wikidata account
- Search to confirm no existing entry
- Create new item with label and description
- Add statements (instance of: company/organization)
- Include key properties (founding date, website, industry)
- Add references for claims
Key Properties for Businesses
- Instance of (organization type)
- Country / headquarters location
- Founding date
- Official website
- Industry
- Founder (if notable)
Optimizing Google Knowledge Graph
Google Knowledge Graph presence comes from multiple signals:
- Wikipedia: Primary source for established entities
- Structured data: Schema markup on your website
- Google Business Profile: For local businesses
- Social profiles: Verified accounts linked from website
- Authority signals: Citations and mentions from trusted sources
Industry-Specific Databases
Technology / Startups
Crunchbase, AngelList, ProductHunt, G2, Capterra
Financial Services
Bloomberg, SEC filings, FINRA BrokerCheck, CFP Board
Healthcare
NPI Registry, state licensing boards, hospital affiliations
Legal
Martindale-Hubbell, state bar associations, Super Lawyers
Local Business
Google Business Profile, Yelp, industry-specific directories
Assess Your Knowledge Graph Presence
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