UserGems started by following past champions to new companies and now scores accounts, captures buying groups and runs signal-based outbound and ads, including from Claude and ChatGPT. Ocean uses contextual intelligence to find your next deal, with the reason on every account.
Used by teams at
UserGemsWarm paths through past champions who change jobs. A fit for revenue teams that sell on relationships.
UserGems calls itself an AI command center for outbound and ABM. It pairs 30+ signals, such as job changes and closed-lost accounts, with agents that score accounts and write outreach.
Ranking every company in your market by fit, with the reason on each account and an exact count of the market.
Ocean is contextual intelligence for go-to-market. It reads what every company actually does from its own website, learns what good looks like from your closed-won and closed-lost deals, and ranks your whole market against it, with the reason behind each score. The ranked accounts arrive in your CRM, your rep queue or your AI agents.
What buyers weigh, grouped by the job each part does. A light blue background marks the stronger side.
| Topic | Ocean | UserGems |
|---|---|---|
| Finding the right accounts | ||
| Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Scores companies against your best customers and can build and enrich lists. Its pages don’t describe lookalike search across the market as the core job. |
| Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | Gem-E learns from your open opportunities and closed-won patterns, weighs 600+ attributes and lets managers edit the weights. Closed-lost deals are a signal for reviving accounts. |
| The reason behind each account | Ocean is stronger here. Segment, score, tier and matched signals on every account and every export. | Shows which data and signals drive each score, and reps can see why accounts and contacts were selected. |
| Coverage beyond accounts you already know | Ocean is stronger here. Segments your whole market and shows win rate, deal size and cycle time for each segment. | Plans are sized to a market: 2 to 4 thousand accounts on Core, 4 to 10 thousand on Advanced and 10 thousand or more on Elite. |
| Contacts and data | ||
| Contacts | Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Captures buying group members from your CRM, calendars and signals, learned from your open and closed-won deals, and enriches them into your CRM. |
| Job changes and past champions | Doesn’t follow your past champions to new companies. It ranks the market from fit. | UserGems is stronger here. Core strength: past champions, evaluators and buyers who move, new hires at target accounts and promotions, each a native signal. |
| Buying signals | Up-to-date signals built in-house from each company’s own teams, leaders, hiring and website. | 30+ native signals including contact-level intent, website visits, competitor research, M&A, hiring and call transcripts, plus custom signals and imports from G2, 6sense and Clay. |
| Workflow and pricing | ||
| CRM sync | Two-way with HubSpot, Salesforce, Pipedrive and Attio. Reads your deals to learn, then writes scores, segments and signals back. | Salesforce and HubSpot, sales engagement in Outreach, Salesloft and Gong Engage, and LinkedIn, Meta and Google ad audiences. |
| AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | An MCP for Claude and ChatGPT that builds audiences, campaigns and sequences, not just reads data, on top of Research and Writing agents. |
| Security and privacy | SOC 2 Type II and GDPR, per Ocean’s own site. | Lists SOC 2 Type 2 certification, GDPR compliance as processor and controller, annual penetration tests and a trust centre. |
| Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Published: Core 40,000 dollars a year, Advanced 75,000 and Elite 150,000, plus a one-time implementation fee and a money-back guarantee tied to closed-won revenue. |
UserGems publishes three annual plans. Every plan has unlimited users, and the tiers differ by credits and the size of market they cover.
Enterprise is quote-only, and retroactive job-change leads are an optional 3,000 dollars. A credit meters both data and AI actions, so usage decides how far a plan stretches. Salesmotion cites Vendr buyers paying a median near 30,000 dollars a year, and older reviews quote monthly prices from a previous structure. Ask what your tier covers.
A flat-rate plan with credits included, or a custom plan built around your deals.
Contacts are charged only when one is found. Exports are free.
See Ocean pricingUserGems finds the people you already know in new places. Ocean finds the companies you don’t know yet.
Choose UserGems if Use both ifFive steps. Most teams run UserGems for warm paths and add Ocean to find the accounts with no past contact.
Export the accounts and signals UserGems flags, then run them through Ocean to see how many fit your closed-won pattern.
Find your tier, credit balance and renewal date, and what your implementation covered.
Connect HubSpot, Salesforce, Pipedrive or Attio. Ocean reads your closed-won and closed-lost deals to learn what a good account looks like.
Ocean proposes segments and scores, with the reason on each. Correct anything that doesn’t match how you sell.
Scores, segments and matched signals go back to your CRM, or into Apollo, Instantly or Lemlist sequences.
Expect a polished demo on sample data, because that is where it looks best; ask for a test on your own accounts.
Expect a quote that grows with seats, credits and add-ons, because the entry price is the smallest line; price your real volume.
Expect rules, filters and signals you set, because a model of your own deals is not what it leads with; ask for a test on your accounts.
Expect annual terms that renew on their own, because that is how it is sold; get notice dates, price caps and export rights in writing.
Ocean is better because it tells it like it is: contextual intelligence to find your next deal, with the reason on every account.
Start using OceanThe right alternative depends on what you use UserGems for. Here’s what each is built for and where Ocean starts.
6sense
Common Room
Demandbase
Unify
Reo.DevShort answers on what UserGems does, what it costs, how Ocean compares and what to check before you buy.
An AI command center for outbound and ABM that began with champion and job-change tracking. It now has 30+ signals, account and contact scoring, buying groups, AI agents, ad audiences and an MCP for Claude and ChatGPT.
Core is 40,000 dollars a year, Advanced 75,000 and Elite 150,000, with unlimited users, a one-time implementation fee of 3,000, 5,000 or 10,000 dollars, and Enterprise on request.
Yes, in part: Gem-E learns from your open opportunities and closed-won patterns to weight its scoring, and uses closed-lost as a signal. Ocean also reads your CRM deals, and ranks every company in your market against what it learns.
It can build and enrich lists and score accounts, within a market size set by your plan. Its distinct strength is following past champions and buyers to new companies. Ocean’s starting point is the whole market.
Yes, for Claude and ChatGPT, and it acts as well as reads: it builds audiences and campaigns and enrolls contacts. Ocean has an MCP server and a public API on the same data and lookalike engine.
Salesforce and HubSpot, plus Outreach, Salesloft and Gong Engage and ad platforms. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio.
It lists SOC 2 Type 2 certification, GDPR compliance, annual penetration tests and a trust centre. As with any vendor, ask for the current report.
Ocean reads what each company does from its own website, learns from your closed-won and closed-lost deals, and returns ranked matches with the reason on each one.
Today we can more confidently say we're reaching out to all the companies that could potentially buy from us.
Josh Pudnos,
Director of Commercial Operations, Brandwatch
With Ocean.io we can focus our ad spend on the right companies.
Martin Nørgaard Klausen,
Co-Founder, Lead Motor, Zen Media
Working with a trusted partner saves a ton of engineering time and ongoing AI costs. Speed and quality are higher out of the gate.
Stefan Kollenberg,
Data Partnerships, Clay
Ocean.io reduced our average cost per Marketing Qualified Lead by 23%.
Garrett Butler,
Digital Engagement, CBC
Ocean.io expands the sea into an ocean, and Scalestack is great at fishing in this vast ocean.
Ezequiel,
Head of Product Operations, Scalestack
Ocean.io allows us to identify lookalike companies with incredible accuracy.
Maged,
Head of Product, Surfe
