A free AI knowledge graph scan evaluates whether your brand, products, and key personnel are recognized as distinct entities in AI knowledge systems — including Wikidata, Google's Knowledge Graph, and the entity layers used by major language models. Without knowledge graph presence, AI engines may reference your content without recognizing it as yours — the root cause of ghost citations.
Entity recognition is the missing layer in most AI visibility strategies. Content is abundant. Known entities are not.
What Is a Knowledge Graph in AI Context?
A knowledge graph is a structured database of entities and their relationships. Google's Knowledge Graph contains billions of entities — people, organizations, places, products — with attributes and connections. Wikidata is a community-maintained, open knowledge graph used by Wikipedia and referenced by AI training pipelines. When an AI engine encounters your brand name, it checks these graphs to determine whether your brand is a known, validated entity or just a word on a page.
Entity Recognition vs. Keyword Matching
| Scenario | Keyword Matching | Entity Recognition |
|---|---|---|
| Brand name in content | Finds text occurrences | Identifies specific organization with attributes |
| Competitor comparison | Matches "vs" pages by keyword | Understands relationships between entities |
| Attribution in answer | May cite URL without brand | Attributes claim to named entity by name |
| Ghost citation likelihood | Very high (61.7% average) | Significantly lower for recognized entities |
Why Ghost Citations Are an Entity Problem
The 61.7% ghost citation rate is primarily an entity problem. When an AI engine doesn't recognize your brand as a distinct entity, it can extract content from your pages but has no reliable way to attribute it to you by name. The fix isn't better content — it's knowledge graph presence that makes your brand a recognizable entity the AI can name confidently.
Best For: B2B Companies With Complex Product Names
Knowledge graph scans are best for B2B companies whose brand or product names could be confused with generic terms. If your company name is "Signal," "Base," "Canvas," or any other word with multiple meanings, knowledge graph disambiguation is critical for ensuring AI engines attribute citations to the right entity.
Building Knowledge Graph Presence — Six Plays
- Citation map: Test whether AI engines currently name your brand when they answer queries about your category. If they don't, entity clarity is the issue.
- Page shape rewrites: Include your full brand name, founding year, and category on your homepage above the fold. This is the minimum entity signal.
- Source-jacking for entity confirmation: Mentions of your brand name in Wikipedia articles and Wikidata-linked publications strengthen entity recognition.
- Original data with brand attribution: Publish research that explicitly attributes findings to your organization: "According to [Brand]'s 2026 AI Visibility Report..."
- Entity clarity via Wikidata: Create a Wikidata entry with: entity type (organization), founding date, headquarters, industry, official website, and description. This is the single highest-ROI entity clarity action.
- AI attribution instrumentation: Monitor branded search volume as a proxy for AI knowledge graph recognition — as AI engines learn your brand as an entity, branded search from AI-referred users typically increases.
Creating Your Wikidata Entry
Anyone can create a Wikidata entry for a notable organization. Start at wikidata.org, create an item, add: label (brand name), description (one-line what you do), instance of (organization or software product), industry, founding date, official website, and social media accounts. Once created, this entry feeds into multiple AI knowledge systems and is typically indexed within 2–4 weeks.
Run a free AI visibility scan on your site to see exactly where you stand.
Frequently Asked Questions
What is Wikidata and how does it affect AI?
Wikidata is an open knowledge base containing structured information about entities — organizations, people, places. AI training pipelines reference Wikidata to confirm entity identities. A Wikidata entry makes your brand recognizable as a distinct entity to AI systems.
Do I need a Wikipedia page or just Wikidata?
Wikidata is faster to create and doesn't require Wikipedia's notability standards. Start with Wikidata. A Wikipedia page adds significantly to entity authority but requires demonstrated notability from third-party sources.
How do I know if my brand is in Google's Knowledge Graph?
Search your brand name in Google. If a Knowledge Panel appears on the right side of the results with your organization's details, you're in the Knowledge Graph. If not, focus on Wikidata and Wikipedia mentions to build toward Knowledge Panel inclusion.