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Gem-E by UserGems

Vendor: Gem-E by UserGems

Gem-E is UserGems' AI SDR agent that scores accounts from buying signals and drafts personalized emails, call scripts, and LinkedIn messages for reps.

linkedin email Mid-market and enterprise sales, marketing, and revenue operations teams running signal-based outbound and account-based marketing programs #ai-sdr #account-based-marketing #sales-automation #prospecting #crm-integration #ai-agents #signal-based-advertising #workflow-automation

Overview

Gem-E is an AI SDR agent integrated within UserGems, an AI go-to-market platform for revenue teams. It monitors buying signals such as job changes among past champions, new hires at target accounts, contact-level intent, website visits, and M&A activity, combining these with CRM data to prioritize accounts and buyers. The tool enriches company records, acquires missing contacts, researches past interactions, and drafts email sequences, call scripts, and LinkedIn messages. Output is delivered directly into the team's CRM and sales engagement tool via a Chrome extension, allowing reps to maintain their existing workflows. Gem-E targets mid-market and enterprise sales, marketing, and revenue operations teams running signal-based outbound and account-based marketing programs. New capabilities include UserGems MCP for AI-driven campaign orchestration in Claude or ChatGPT, signal-based advertising across LinkedIn, Meta, and Google, and intelligent workflows for automated signal-to-action routing.

Key Features

Signal Capture

Consolidates a team's own signals with UserGems signals including past champions, new hires, contact-level intent, website visits, M&A, and customer competitors. Includes 21+ native signals and 600+ ICP criteria.

Account and Contact Discovery

Enriches companies with missing firmographic data and acquires missing contacts, eliminating manual list building.

Account and Lead Scoring

Blends UserGems signals with CRM data and existing third-party signals into a single score for prioritizing accounts and the warmest contacts within them. Uses 600+ ICP criteria and signals with transparent, customizable models.

Research on Past Interactions

Reviews call transcripts and email exchanges to surface buyer goals, objections, and pain points, including why deals were previously lost.

Message Drafting

Writes personalized email sequences, call scripts, and LinkedIn messages, plus follow-up emails that reference context from earlier sends. Achieves 6-20% reply rates.

In-Workflow Delivery

Pushes insights, emails, and talk tracks into the CRM and sales engagement tool, with a Chrome extension for reps working inside those systems.

UserGems MCP

Connects AI assistants like Claude or ChatGPT to UserGems' signal brain, enabling prompt-based campaign building, audience creation, and orchestration across sales and marketing tools without engineering.

Signal-Based Advertising

Dynamically syncs verified contact audiences to LinkedIn, Meta, and Google based on buying signals, with 78-95% match rates on LinkedIn, 45-65% on Meta, and 30-50% on Google.

Intelligent Workflows

Pre-built and customizable no-code workflows that turn buyer signals into automated actions across CRM, sales engagement, ad platforms, and AI agents, with ROI tracking and rep adoption analytics.

AI Agents' Skill Set

Includes Build List (create & enrich), Account & Contact Scoring, Automated Campaigns, Writing Agent, Research Agent, AI Co-pilot Chrome Extension, Reporting & Analytics, UserGems MCP, Ad Audience Sync, Calendar Capture, Contact-level Intent & Web Deanonymization, Buying Stages, CRM Hygiene.

Pros & Strengths

  • ✓
    Warm Pipeline From Signals: Reviewers report that champion and job-change alerts convert into real pipeline that closes better than cold outbound.
  • ✓
    Strong CRM Integration: Users describe new records appearing against the right accounts in Salesforce and HubSpot automatically, removing manual list pulling.
  • ✓
    Significant Time Savings: Reviewers cite the drafted emails and automated research as saving hours of prospecting, with some reporting 15 minutes or more saved per message.
  • ✓
    Scoring Reps Act On: Users value scoring that weighs customer traits alongside engagement, which helps teams focus on genuinely relevant accounts.
  • ✓
    Messaging Quality: Sales development managers note the drafted emails are strong enough that reps learn messaging structure from them.
  • ✓
    High Ad Platform Match Rates: Signal-based advertising achieves 78-95% match rates on LinkedIn, 45-65% on Meta, and 30-50% on Google, significantly above industry averages.
  • ✓
    AI Agent Orchestration via MCP: UserGems MCP allows teams to build and run GTM campaigns directly in Claude or ChatGPT using natural language prompts, combining bought intelligence with custom workflows.

Cons & Tradeoffs

  • ⚠
    Data Lag and Occasional Errors: Reviewers report job-change alerts arriving days or weeks late and occasional outdated titles or companies that need verifying before outreach.
  • ⚠
    Limited Filtering Controls: Users describe restrictive filtering, including 'and' logic without 'or' options, and receiving more alerts than they can act on.
  • ⚠
    Priced for Larger Teams: Published plans start at $40k per year plus implementation fees, which several reviewers describe as expensive for smaller teams.
  • ⚠
    Interface and Tuning Complexity: Some users find the audience and persona builders confusing and note that dialing the system in takes time.
  • ⚠
    Credit-Based Usage Limits: Plans include monthly credit limits for data actions and AI actions (e.g., 4M data actions or 400K AI actions on Core), which may constrain high-volume usage.

Known Limitations

  • • CRM Dependency: Integrations are deepest with Salesforce and HubSpot; reviewers on niche or in-house CRMs report significant technical effort.
  • • Requires a Connected Sending Tool: Messages are drafted and pushed into the team's CRM and sales engagement platform rather than sent by Gem-E itself.
  • • MCP Requires Compatible AI Interface: UserGems MCP functionality depends on access to MCP-compatible AI assistants like Claude or ChatGPT.

Pricing & Plans

Model: subscription
USD40000 /year

UserGems offers three main annual plans: Core at $40,000/year with 10,000,000 data actions and 2-4k TAM coverage; Advanced at $75,000/year with 25,000,000 data actions and 4-10k TAM coverage; Elite at $150,000/year with 25,000,000 data actions and 10k+ TAM coverage. All plans include revenue guarantees (1x, 2x, 3x ROI respectively), unlimited admin users, and varying end-user limits. One-time implementation fees: $3k (Core), $5k (Advanced), $10k (Elite). Optional retroactive job change leads package: $3k. Enterprise pricing available on contact.

✓ Free Plan ✓ Free Trial

Pricing verified: 2026-08-20

Editorial Info

Last Reviewed: 2026-08-20

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