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- A Beginner's Guide to Google Knowledge Graph
- I was going to hold off on sharing this little golden nugget because it's still something that I'm testing, but maybe (hopefully) someone can add some more insights.
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- And I figured, f***k it - it's Friday.
- HOW TO GET A [baby] GOOGLE KNOWLEDGE GRAPH
- <!-- Begin Disclaimer -->
- As I mentioned, this isn't a tried and tested method with 100+ samples. BUT, I'm at a success rate of 100% with 4-5 unique knowledge graphs. This includes item name (John Doe), a descriptor (ex: Consultant), and an image.
- In my experience, this works better for the person @Type as opposed to local businesses. With the 1 business that I did try (at minimal effort) it DID work. I would place a confident bet that this works extremely well for larger organizations with more media coverage and a longer history of digital presence (higher domain authority - you know, the full works).
- <!-- End Disclaimer -->
- Step 0. Syndicate semantic triple statements (i.e. "John Doe is an American Businessman")
- Step 1. Create a new item on Wiki Data (i.e. "John Doe" or "Mama Mia's Pizzeria")
- Step 2. Add statements (May be something like "American Businessman" or "Organization")
- Step 3. Add references (i.e. "Stated in" or "Add credible reference URLs")
- Step 4. Wait for indexing (In my experience, this takes 2-3 days)
- Step 5. Rinse and repeat repeat steps 2-3
- Please, be mindful of Wiki Data's guidelines prior to implementing this technique, and don't spam Wiki Data with items for 100s of small businesses - I'd like to keep this method alive.
- Also, don't overthink statements. I've used self-referencing statements (i.e. my own "About" pages, social media, and other controlled assets to effectively obtain a Knowledge Graph. Of course, bonus points if these are from secondary sources like local magazines or Crunchbase (*hint* *hint*).
- Another useful HINT
- - this was all made 100% easier by Google's BERT update -
- Be sure to understand G's updates and objectives - Follow. Step. ZERO.
- For example, let's look at the following copy:
- For natural processing language machines (and most humans), it's hard to identify the subject-object relationship here.
- Keep it simple --> Mama Mia's Pizzeria is a "GMB Category." Or.... John Doe is an "Knowledge Panel Descriptor."
- Make it easy for natural processing language (NPL) to understand the relationships between the items being described.
- Happy Entity SEO-ing :)
- Hey thanks! Can you give more details or would you be willing to help me set this up?
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