Hiring Managers Can Tell When You Use AI On Your Resume. Here’s How.
Published August 10, 2026
At a glance
Views
25,296
Likes
721
Comments
320
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
You used AI to write your resume, and hiring managers can tell. In this video, I break down the exact signs recruiters look for when they suspect a resume was AI generated — including buzzwords like "spearheaded" and "leverage," vague metrics with no context, resumes that mirror the job description word for word, hidde…
- Published
- August 10, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Hiring Managers Can Tell When You Use AI On Your Resume. Here’s How. is doing
It has 25.2K views in total. It ranks #13,000,422 among tracked YouTube videos by views.
Key facts about Hiring Managers Can Tell When You Use AI On Your Resume. Here’s How.
- Total views
- 25.2K
- Total likes
- 721
- Total comments
- 320
- Published
- August 10, 2026
- Global rank by views
- #13,000,422
Frequently asked questions
How many views does Hiring Managers Can Tell When You Use AI On Your Resume. Here’s How. have?
Hiring Managers Can Tell When You Use AI On Your Resume. Here’s How. has 25,296 views, 721 likes and 320 comments, ranking #13,000,422 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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