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For RevOps and demand-gen teams, UserGems is an AI command center for outbound and ABM that unifies buyer signals and first-party data into person-level intelligence, then scores and activates in-market buyers through AI agents in Claude and ChatGPT.

Presence & Market Position

31
SOV ScoreSOV Score — earned, engagement-weighted share of voice across Adam's curated panel of GTM voices, scored against the market. Earned only: a brand's own posts do not count. Not a quality rating, endorsement, or paid placement.

#36 of 142
Traditional SaaS Going Headless

▼ 17 60-day move

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

UserGems is working to occupy the position of an AI command center for outbound and ABM: one system, not a point tool, that consolidates buying signals and transparent contact-level scoring, with an agent, Gem-E, that drafts and sends outreach, now reachable headlessly inside Claude or ChatGPT through its own MCP server. The company argues that stance directly against account-level, black-box intent platforms. Practitioner conversation places UserGems as a fixture in histories of the signal and intent-data category, in workflow breakdowns chaining it with hiring-signal and closed-lost-revival plays, and in category debates over how signal-based ABM tools differentiate as the space consolidates.

Related brands
Customers

Hubspot, Crowdstrike, Mimecast, UserTesting, Docebo, Workday, Sendoso, LeanData, CaptivateIQ

Quickbase ↗case study · vendor-provided
Docebo ↗case study · vendor-provided
Captivate IQ ↗case study · vendor-provided
Mimecast ↗case study · vendor-provided

Business Profile

UserGems started in 2019 in San Francisco, founded by CEO Christian Kletzl and Stephan Kletzl, on a single signal: tracking champions who change jobs. It raised a $20M Series A in October 2021 led by Craft Ventures with Battery Ventures and Tiger Global joining, bringing total funding to $22.4M, and has stayed independent since. The company reported $7.2M in revenue for 2024 and has grown to roughly 70 employees. It spent 2024 and 2025 broadening from job-change alerts into a multi-signal platform, adding the Gem-E outbound agent in January 2025, and repositioned in February 2026 as an "AI Command Center for outbound and ABM."

Founded
2019
Employees
70
Funding
$22.4M
ARR
$7.2M (2024)
Status
Independent
Scale stage
Growth
Type
SaaS for GTM
GTM categories
Data & Intelligence
Key people

Agent Readiness

33D
Agent ReadinessAgent Readiness — how easily an AI agent can build on this product: documented API, MCP server, CLI and SDK surfaces plus the depth of the docs behind them. Scored 0-100 and graded A-F.
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

UserGems built its agent layer around Gem-E, an AI outbound agent that scores contacts against hundreds of signals and drafts or sends sequences on a rep's behalf. It has since opened that layer outward: a public API, and a Model Context Protocol server that lets users build and adjust outbound and ABM campaigns directly inside Claude or ChatGPT without touching the UserGems interface. The build-out has moved from an in-product agent toward a headless, assistant-native surface.