Definition
A knowledge graph stores facts as connected entities: people, companies, products, places and concepts, along with their attributes and relationships. Google's Knowledge Graph powers features such as knowledge panels, and other search and AI systems maintain their own graphs or draw on public sources such as Wikidata.
For example, a knowledge graph might record that Aarvi Skin is a skincare brand, that it makes a specific sunscreen and that it competes in the same category as Dermalume. When those facts are recorded accurately, systems can answer questions about the brand with less guessing.
Why it matters
Knowledge graphs help systems recognize which brand a question is about and what is true about it. When the facts about your company are clear and consistent, assistants are more likely to identify the right entity and describe it correctly. When facts are missing or conflicting, systems may confuse you with a similarly named company or rely on outdated details. Clear public facts make that recognition easier.
What to do
- Search your brand name in Google and check whether a knowledge panel appears and is accurate.
- Keep Organization schema, official profiles and key directory listings consistent.
- Check whether public databases list your brand, and correct any inaccurate details.
Common questions
How do I get my brand into Google's Knowledge Graph?
Google decides which entities to include based on information it finds across the web. You can help by publishing consistent facts on your site, using Organization schema, maintaining official profiles and earning coverage from credible sources. If a knowledge panel appears, you can claim it and suggest corrections.
Do AI assistants use knowledge graphs?
Some systems use structured entity data alongside retrieved pages and training data, though vendors rarely publish details and approaches vary. Regardless of the exact mechanism, consistent and accurate facts about your brand across the web make it easier for any system to describe you correctly.