The Words Matter: Why Better AI Prompts Create Better Client Experiences | Brian Pate
Published September 10, 2026
At a glance
Views
1,358
Likes
494
Comments
0
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
AI is learned through trial and error—and the words you use matter. In this live AI in Real Estate training, Brian Pate explains why prompts are the engine behind effective AI results. Simply having access to AI isn't enough. Realtors need to understand how to communicate with the technology, refine their prompts, tes…
- Published
- September 10, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How The Words Matter: Why Better AI Prompts Create Better Client Experiences | Brian Pate is doing
It has 1.35K views in total. It ranks #14,874,111 among tracked YouTube videos by views.
Key facts about The Words Matter: Why Better AI Prompts Create Better Client Experiences | Brian Pate
- Total views
- 1.35K
- Total likes
- 494
- Total comments
- 0
- Published
- September 10, 2026
- Global rank by views
- #14,874,111
Frequently asked questions
How many views does The Words Matter: Why Better AI Prompts Create Better Client Experiences | Brian Pate have?
The Words Matter: Why Better AI Prompts Create Better Client Experiences | Brian Pate has 1,358 views, 494 likes, ranking #14,874,111 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
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