What is the best way to prompt a hesitant B2B SaaS client for a case study video review using Endorsal versus using plain email?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best way to prompt a hesitant B2B SaaS client for a case study video review using Endorsal versus using plain email?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Endorsal video testimonials request features email invitations video testimonials official Google ↗
B2B customer case study video testimonial request best practices reduce friction customer advocacy Google ↗
- Endorsal Feedback Request · review.endorsal.io
- Automatically Request Reviews from Customers with AutoRequests · endorsal.io
- Customer Testimonials, Automated | Review Software · endorsal.io
- Template and example questions for B2B case study videos. · vocalvideo.com
- Client Testimonial Strategy Best Practices for Marketers · omnivancemedia.com
- Pricing — Endorsal · endorsal.io
- Pricing — Endorsal · endorsal.io
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Endorsal video testimonials request features email invitations video testimonials official OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
B2B customer case study video testimonial request best practices reduce friction customer advocacy OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |