Gem-E
What is Gem-E?
Gem-E is UserGems’ AI agent, built to be your sellers’ ultimate co-pilot.
It continuously analyzes both people and account signals to identify and prioritize the highest-potential prospects. Then, it generates personalized messaging based on those signals.
In short, Gem-E automates time-consuming, non-selling tasks so your team can focus on what matters most: real, human-to-human connections.
Why it's different
Gem-E stands apart from other AI outbound tools in three key ways: a human-first approach, accuracy, and control.
Human-first: Gem-E is powered by over 14 pages of prompt content written by real SDRs. That means the messaging sounds natural and on-brand from day one. Instead of starting from scratch, your team can fine-tune messaging that's already close to what you'd write yourself.
Data Accuracy: Gem-E is built on the same trusted operating models that power UserGems’ core past champion tracking. The quality of your inputs matters—because garbage in equals garbage out. That’s why fresh, reliable data is essential.
Control: You define how Gem-E works and how it sounds. With flexible parameters and customization options, Gem-E will never run rogue. It stays aligned with your team’s voice and priorities.
How it works
1. Data and app settings
During implementation, you’ll provide a few key inputs that shape how Gem-E works:
- Tracked contacts: This tells Gem-E who already knows your product or service, and what their relationship was with your company. Gem-E then monitors these people for job changes.
- Ideal personas: These tell Gem-E which titles you care about and what pain points to speak to. Messaging is tailored accordingly.
- Tracked accounts: This includes customers, open opportunities, targets, and more. Gem-E uses this to customize messaging based on account type. For example, a past champion joining a target account should be messaged differently than one joining a customer.
- Ideal customer profile: This definition tells Gem-E the types of accounts you work with to help prioritize the right ones, and identify new new accounts that are relevant.
2. Signals
Each signal you activate from the signals library becomes a new data point for Gem-E to monitor. Signals help Gem-E identify the right contacts and accounts, prioritize outreach, and add context to the messages it generates. The more signals you activate, the better the personalization and targeting.
3. Gem-E seller content
Seller content is the foundation of how Gem-E speaks about your product and value proposition to different personas.
It comes with a first draft version out of the box, including value props and persona-specific pain points scrapped from your company website and LinkedIn. It’s important to review and adjust this content, since Gem-E will pull from it frequently when creating conversation starters and email copy.
4. Gem-E signal snippets
Signal snippets define what Gem-E says when a specific signal is detected.
For example, if a "Past Champion" signal is triggered, the snippet might say:
"Congrats on the new role, and thanks for your help at {{past company}}."
Every signal you activate has a default snippet, and some—like Past Champion—include variations based on relationship type (such as closed-won vs. closed-lost contacts). This ensures the messaging is always relevant to the contact’s history.
5. Gem-E actions
Actions are the final output—the formatted emails that combine all the components:
- The detected signals
- The relevant signal snippets
- Value prop and persona pain points
- Any custom language or required phrasing you’ve added
- These elements come together to create a clear, contextual message that’s ready to send.
The result
With Gem-E, your team gets timely, personalized messaging triggered by real signals—without spending hours on research and copywriting.
The result is less admin work, more meaningful conversations, and more pipeline.
