This page breaks down Heartbeat.AI ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Heartbeat.AI’s overall reputation. This data-driven overview will show you exactly how Heartbeat.AI is rated - including how it compares to competitors.

Heartbeat.AI's Overall Rating Summary

  • Average Rating:4.5/5
  • Total Reviews:35 reviews
  • Sources:G2, Capterra, Getapp
  • Last updated:September 1, 2025

Heartbeat.AI Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.9/5
23+ reviews07.07.25
Capterra logoCapterra
3.7/5
6+ reviews07.07.25
Getapp logoGetapp
3.7/5
6+ reviews01.09.25

What is Heartbeat.AI?

Heartbeat.ai provides access to over 11 million healthcare providers' personal emails and cell phone numbers, offering 230% more profiles than LinkedIn. The platform features specialist healthcare search filters, integration with ATS and workflows, and a Chrome extension for unlocking contact details from online platforms. It reduces research time and costs by 90%+ and allows bulk searching and filtering to enhance healthcare recruitment efforts.

🤔 Heartbeat.AI vs Competitors: How Do Ratings Compare?

Check out Heartbeat.AI Alternatives

Frequently Asked Questions

How trustworthy is Heartbeat.AI?

According to G2 review site Heartbeat.AI holds rating of 4.9/5, highlights excellent reputation and user approval as of September 2025.

How many stars is Heartbeat.AI rated?

Heartbeat.AI has an average star rating of 4.5 out of 5 stars based on average of 35 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from Heartbeat.AI public reviews pages on platforms: G2, Capterra, Getapp. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for Heartbeat.AI is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.