Entity SEO & Knowledge Panel Strategy
Knowledge panels appear in branded SERPs when Google's knowledge graph recognizes your entity, has enough verified facts, and decides users searching your name benefit from a panel. We work on the structured-data layer that supports the recognition process.
The knowledge-graph layer
Create or improve your Wikidata entity, link to Wikipedia, register identifiers (LinkedIn, Crunchbase, ISNI, ORCID where applicable), structure facts.
Wikipedia article (where eligibility supports it) is the highest-weight signal feeding into knowledge graphs. See the Wikipedia & Wikidata service.
JSON-LD on your owned properties: Organization, Person, Product, FAQPage, Article. Aligned with what Google's knowledge graph parses.
Same entity across LinkedIn Company, Crunchbase, GitHub Org, official social. Identifier mismatch confuses knowledge graphs.
Independent press references that Google's knowledge graph uses for fact verification — name spelling, founding date, legal entity.
When a panel exists but contains errors, the official Google feedback process exists. We document and submit corrections through it.
What we will and will not do
- Strengthen Wikidata + Wikipedia + structured-data triangulation
- Submit fact corrections through Google's official feedback channels
- Align identifiers across owned and external properties
- Promise a panel will appear on a fixed date
- Manipulate Google's algorithm or simulate authority signals
- Inject false structured data on owned properties
Audit your entity layer
Knowledge panels usually follow from a strong Wikipedia + Wikidata foundation. Start with an audit that maps your current entity layer and recommends the highest-leverage fixes.