10 Fan-Outs for Prompt Research | Tom Capper | Whiteboard Friday 4K
Skills:
Prompt Craft90%
How does Google's AI Overview take a simple search query and expand it into a comprehensive web response? In this Whiteboard Friday, Tom Capper shares research conducted by Dr. Pete on the mechanics behind fan-out queries — the underlying questions AI generates to provide a complete answer.
Using the example query "best wireless mice for gamers," Tom breaks down 10 specific categories you can use to expand your own prompt tracking and keyword research.
View and save the HD whiteboard here: https://moz.com/blog/fan-outs-for-prompt-research-whiteboard-friday
Timestamps:
00:00 – Intro: Researching Google's AI Overview Responses
00:41 – The Value of Prompt Research for Tracking and Ideation
01:17 – Example Query: "Best Wireless Mice for Gamers"
01:29 – Fan-out 1: Semantic Synonyms
01:42 – Fan-out 2: Entity & Brand Variations
01:51 – Fan-out 3: Follow-up Questions
02:00 – Fan-out 4: Product Attributes
02:12 – Fan-out 5: Anticipating the Next Purchase
02:22 – Fan-out 6: Factual Information
02:33 – Fan-out 7: Tutorial and How-to Content
02:45 – Fan-out 8: Perspective and Expert Recommendations
02:52 – Fan-out 9: Product Comparisons
03:02 – Fan-out 10: Transactional Queries
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Chapters (13)
Intro: Researching Google's AI Overview Responses
0:41
The Value of Prompt Research for Tracking and Ideation
1:17
Example Query: "Best Wireless Mice for Gamers"
1:29
Fan-out 1: Semantic Synonyms
1:42
Fan-out 2: Entity & Brand Variations
1:51
Fan-out 3: Follow-up Questions
2:00
Fan-out 4: Product Attributes
2:12
Fan-out 5: Anticipating the Next Purchase
2:22
Fan-out 6: Factual Information
2:33
Fan-out 7: Tutorial and How-to Content
2:45
Fan-out 8: Perspective and Expert Recommendations
2:52
Fan-out 9: Product Comparisons
3:02
Fan-out 10: Transactional Queries
🎓
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