# Patientell

- **Website:** <https://patientell.com>
- **Primary alias:** `patientell.com`

## Description

Patientell provides a patent-pending review system designed specifically for dental practices. Its process helps practices gather more Google reviews with less effort for patients, while encouraging detailed feedback that can highlight patient experiences and staff contributions. The company says its system integrates with dental practice software including Dentrix, Open Dental, and Eaglesoft, as well as other platforms.

Patientell reports an average rating of 4.94 across its practices, about 2.1 times more reviews per month, reviews that are two to ten times longer, and 82% fewer one-star reviews compared with the industry’s leading competitor. Its head-to-head figures come from a real dental office, and the site also features a testimonial from Peppermint Dental in McKinney, Texas. Patientell offers private product demonstrations rather than a public walkthrough, with prospective customers invited to contact its team. The company states that practices can be live in under 24 hours, with no contracts or setup fees. Its services focus on helping dental offices strengthen their Google profiles through a review process built for their needs.

## Industries

- 📊 Business and Consumer Services
- 📊 Online Marketing _(under Business and Consumer Services)_
- ⛑ Health
- ⛑ Dentist and Dental Services _(under Health)_
- 📊 Marketing and Advertising _(under Business and Consumer Services)_

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idEFKhnjvn/w/1024/h/204/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791316938404)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Drover | #fef7af | accent |
| Black | #000000 | dark |
| Alabaster | #f8f8f8 | light |

## Fonts

- Inter — asset _(google)_
- var(--font-family) — asset _(custom)_

---

_Source: <https://brandfetch.com/patientell.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._