PandaMatch returns a list of company domains that resemble a few you give it, or a description you write. Ocean uses contextual intelligence to find your next deal, with the reason on every account.
Used by teams at
PandaMatchFinding companies like a seed set, cheaply, down to small sites not on LinkedIn. A fit for agencies and local-market teams.
PandaMatch is a company-discovery tool. You give it up to 10 domains, keywords, an exact text fragment or a written description, and it returns company domains with a similarity score, public emails and phones from the sites, social links and an address.
Learning which companies fit from your own won and lost deals, then ranking the market with the reason on each account.
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 | PandaMatch |
|---|---|---|
| Finding the right accounts | ||
| Lookalikes | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Domain search takes up to 10 seed domains. Description search takes a written paragraph. Keyword and exact-text searches narrow it, and negative versions exclude what you don’t want. |
| Learns your ICP from won and lost deals | Ocean is stronger here. Learned automatically from your won and lost deals. | Starts from the domains or description you supply. It doesn’t describe learning from your CRM deals or your lost deals. |
| The reason behind each account | Ocean is stronger here. Segment, score, tier and matched signals on every account and every export. | Each result carries a similarity score. The docs don’t describe a written reason for why a company matched. |
| Segments and filters | Segments your whole market and shows win rate, deal size and cycle time for each segment. | Country and US state, company start date, a size score from 0 to 800, minimum similarity, social-profile presence, and redirecting domains. |
| Contacts and data | ||
| Company data | 85M+ companies, built from the open web. | Directory of company domains with firmographics and parent-subsidiary links, per its Databar listing. Start dates come from the first certificate issued to the domain. |
| Contacts | Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Returns the public emails, public phones and social links found on each company’s site. It points you to Apollo or Clay for named contacts. |
| Small and local companies | 85M+ companies, built from the open web. | A stated strength: it surfaces small sites that aren’t on LinkedIn or Google Maps, and lets you exclude them by requiring a LinkedIn profile. |
| Workflow and pricing | ||
| CRM sync | Ocean is stronger here. Two-way with HubSpot, Salesforce, Pipedrive and Attio. Reads your deals to learn, then writes scores, segments and signals back. | CSV export, a REST API on the Team and Agency plans, and Databar and Clay as connectors. No native CRM sync is described. |
| AI agents and MCP | MCP server, public API and a chat agent on the same data and lookalike engine. | The docs describe an API with an API key and client key, not an MCP server. |
| Security and company scale | Ocean is stronger here. SOC 2 Type II and GDPR, per Ocean’s own site. | We found no security page, SOC 2 report or GDPR documentation. Its product docs are public. Ask for the data-source terms before using it on customer lists. |
| Pricing | Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Starts at $20 a month, per its co-founder. Third-party directories list $99, $249 and $699 tiers. It doesn’t publish a pricing page. |
PandaMatch sells monthly search and record allowances. There’s no public pricing page, so the plans below come from a third-party directory and its co-founder. Confirm in the app.
Allowances are counted in searches and records, not contacts, so the cost of a named, verified contact comes from Apollo, Clay or another provider on top. Prices have moved before and we couldn’t see a live pricing page, so treat every figure as a starting point.
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 pricingPandaMatch gets you a long list of look-alike company domains cheaply. Ocean tells you which of them look like the companies you actually close.
Choose PandaMatch if Use both ifFive steps. Most teams keep PandaMatch for breadth and add Ocean to rank the matches.
Export the domains with their similarity scores, and note the seed domains and descriptions behind each list.
Compare the ranking to your closed-won deals, and see which of the PandaMatch results Ocean scores low and why.
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 score or a label with little behind it, because explanations are the hard part; ask about one real account.
Expect an accuracy claim, because vendors measure it on their own samples; test find and bounce rates on your own list.
Expect a trust-center link or a request form, because reports sit behind a sales step; ask for the date and scope.
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.
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 PandaMatch for. Here’s what each is built for and where Ocean starts.
DiscoLike
Goava
Clay
Apollo
ZoomInfoShort answers on what PandaMatch costs, how its lookalikes work, how Ocean compares and what to check before you buy.
A company-discovery tool that returns company domains similar to up to 10 domains, keywords or a written description you give it, with a similarity score, public contact details from each site and filters for location, size and social presence. It’s also available through an API and inside Databar.
Its co-founder says plans start at $20 a month. A third-party directory lists $20, $99, $249 and $699 tiers by searches and record credits. PandaMatch doesn’t publish a pricing page that we could find, so confirm in the app.
You supply seed domains or a description, and it ranks other company domains by similarity to the website content. It starts from the seeds you choose. Ocean learns from all your won and lost deals and shows the reason on each match.
Yes. An agency that works with RB2B posted a test of 10,000 customers: PandaMatch found lookalikes for 4,987 and Ocean for 2,435, and PandaMatch needed fewer emails per signup. The poster noted it reflects their own offer and data. It’s a single, early-2025 test, so run your own.
It has an API, with an API key and client key, on the Team and Agency plans per a third-party directory. The docs don’t describe an MCP server. Ocean has an MCP server and a public API on the same data and lookalike engine.
It exports CSV and connects through Databar and Clay. No native CRM sync is described. Ocean has native two-way sync with HubSpot, Salesforce, Pipedrive and Attio.
We found no security page, SOC 2 report or GDPR documentation, and no pricing page. The product docs are public. Ask for a security report, data-source terms and a data-processing agreement before using it with customer lists.
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
