Comparison
DiscoLike vs Ocean.io
Ocean.io was early to lookalike search, vectorizing company descriptions and keywords. DiscoLike vectorizes the full text of company websites from its own crawl. The difference is what the matching actually reads: signal depth, index size, and how you get to buy it.
TL;DR
Ocean.io was early in lookalike search, and it remains their best feature: seed it with customer domains, and it finds somewhat similar companies, though the matching vectorizes short company descriptions and self reported keywords rather than full website text. It runs on a 35M company index, is strongest in Europe, and is priced per credit: search results, emails, and phones all draw from one metered pool.
DiscoLike vectorizes the full text of 80M+ business websites we crawl ourselves, not short descriptions, and adds two query modes Ocean doesn't have: natural language ICP search and exact phrase matching on homepage text. Self-serve from $99/mo, monthly or annual.
The other practical difference reviewers flag: Ocean's contact layer draws persistent quality complaints. DiscoLike's contacts carry SMTP-validated emails on every plan.
At a Glance
DiscoLike and Ocean.io, side by side
 | Ocean.io | |
|---|---|---|
| Matching signal | Vectorizes the full text of company websites from our own crawl | Vectorizes short company descriptions and self reported keywords |
| Company index | 80M+ business websites in our own crawl, 98% of companies worldwide | 35M company profiles, strongest in Western Europe |
| Query modes | Lookalike, natural language ICP sentences, and exact phrase matching, combinable | Lookalike from up to 10 seed domains plus standard filters; no natural language, no phrase search |
| Contact layer | First-party contacts with SMTP-validated emails on every plan | LinkedIn-derived contact data; quality is the most persistent complaint in reviews |
| Billing | $99–$1,599/mo flat plans; full subscription converts to search credits | Credit subscription from a 9,000-credit minimum (~$47/mo billed yearly) or pay-as-you-go |
| Cost per 1,000 companies | $1.50–$3.50 per 1,000 net-new records by plan; repeat retrievals free for 90 days | 0.2 credits per search result, roughly $13–$17 per 1,000 at their published credit rates |
| Contact pricing | Billed per contact record: email and phone included when found, no separate phone premium | 1 credit per verified email, 10 credits per direct phone |
| Seats | Workspace pricing by plan | Unlimited seats on every tier, a genuine differentiator |
| For AI agents | MCP server and REST API over our own 80M+ index | MCP server too. The difference is index size and query depth, not protocol |
Ocean.io details verified August 12, 2026 from public pricing pages, documentation, and independent reviews. Spotted something outdated? and we'll fix it.
What the lookalike actually reads
Ocean.io was early to lookalike search, and seeding with customer domains beats picking industry codes. But what gets vectorized matters: Ocean's matching works from short company descriptions and self reported keywords, so results land in the right neighborhood while missing what a company specifically does. That signal ceiling is why its lookalikes read as somewhat similar rather than actually similar.
DiscoLike vectorizes the full text of company websites from our own crawl: what a company builds, who it serves, the vocabulary it uses. The index covers 80M+ business websites (98% of companies worldwide, in 50 languages) against Ocean's 35M profiles, and exposes three combinable query modes: lookalike from seed domains, natural language ICP descriptions, and exact phrase matching against homepage text. On Ocean, lookalike is the product. On DiscoLike, it's one of three ways to ask.
Lookalike quality is decided by what gets vectorized: short descriptions and keywords, or the full text of the website.
The contact-data gap
The loudest complaint in Ocean.io reviews is the contact layer: bounced emails and stale phone numbers recur constantly, to the point that several reviewers recommend pairing Ocean with a separate contact provider.
DiscoLike ships first-party contact search on every plan: emails SMTP-validated before you export them, with phone, LinkedIn, seniority, and department filters, scopable to companies from a saved discovery result. Contacts are billed per record, with email and phone included when found rather than a 10-credit phone surcharge. And when the directory comes up short, ContaGen, our contact discovery agent, runs a live web search per company and verifies every email before you see it. One tool, one bill, and the contact layer isn't the asterisk.
The per-1,000-companies math
Ocean.io's pricing (from their live pricing page, August 2026) meters everything through one credit pool: 0.2 credits per search result, 1 credit per verified email, 10 per direct phone, with exports free, credits valid 12 months, and unlimited seats. Subscriptions start at a 9,000-credit minimum, about $47/mo billed yearly at $0.063 per credit, with monthly and pay-as-you-go rates running higher.
Run the discovery math: 1,000 company results cost 200 credits, roughly $13–$17 depending on billing mode. DiscoLike charges $1.50 to $3.50 per 1,000 net-new company records depending on plan, plus a per-query fee of $0.08–$0.18, and anything you've retrieved in the last 90 days is free to retrieve again. Both products are self-serve with published pricing; the difference is what list-scale discovery actually costs. Full breakdown on the pricing page.
At published rates, building company lists runs roughly 4–8x cheaper per 1,000 results on DiscoLike.
Where Ocean.io genuinely wins
Unlimited seats at every tier. Native placement in the Clay ecosystem. Bombora-powered intent data, which DiscoLike doesn't offer. EU headquarters and a GDPR-native posture that matters in European enterprise procurement. If those are your deciding factors, Ocean is a rational choice. Pair it with a contact provider you trust.
Fit
Which one is right for you?
Choose DiscoLike if
- You want lookalikes matched on full website text over the largest available index: 80M+ vs 35M
- You want to describe your ICP in plain language or match exact phrases, not just seed domains
- You need contacts with validated emails from the same tool
- You build lists at scale and the per-1,000-companies cost decides your unit economics
- Your market extends beyond Western Europe
Choose Ocean.io if
- You're a European ABM team and GDPR posture is a procurement requirement
- You need unlimited seats for a large team on one contract
- Bombora intent data is part of your workflow
- You already run Clay with a separate contact provider you trust
FAQ
Common questions
How is DiscoLike's lookalike search different from Ocean.io's?
The difference is what gets vectorized. Ocean's lookalike works from short company descriptions and self reported keywords over 35M profiles, seeded with up to 10 domains plus filter tuning. DiscoLike vectorizes the full text of 80M+ crawled websites and combines lookalike with natural language ICP search and exact phrase matching in a single query.
Does DiscoLike have better contact data than Ocean.io?
Contact quality is the most persistent complaint in Ocean.io reviews (bounces and stale phones). DiscoLike's contact search ships on every plan with SMTP-validated emails, so the contact layer matches the quality of the discovery layer.
How do DiscoLike and Ocean.io compare on cost per 1,000 companies?
At Ocean.io's published rates (verified August 2026), search results cost 0.2 credits each at roughly $0.063–$0.084 per credit, about $13–$17 per 1,000 companies. DiscoLike charges $1.50–$3.50 per 1,000 net-new records depending on plan, plus $0.08–$0.18 per query, and repeat retrievals are free for 90 days. For list building, that's roughly 4–8x less per 1,000 results.
Does DiscoLike integrate with Clay like Ocean.io does?
Yes. DiscoLike integrates with Clay, plus Zapier, N8N, webhooks, a REST API, and an MCP server for AI agents, all included on every plan.
Researching the wider market? Read best Ocean.io alternatives.
More comparisons
Testimonials
Hear it from our users
Dan Rosenthal
Co-Founder, Workflows.io
"Discolike helped me map out 2M+ companies for over 15 different B2B companies, including a unicorn. I've used all the big prospecting databases, and I can confidently say Discolike is the best tool for building target account lists."
Alex Fine
Co-Founder, Understory
"We've gone from struggling to find alternative lists outside traditional databases to basically having an untapped source of highly relevant companies. The way that Discolike operates on the back-end has been night and day vs their competitors."
Jordan Crawford
Founder, Blueprint
"DiscoLike has unprecedented coverage of companies on the Internet. Their core technology has been instrumental in some of my sneakiest campaigns."
Felix Frank
Founder, StackOptimise
"DiscoLike's segmentation is a powerful tool. It splits the client list into clearly labeled groups we can easily work with, saving us hours on ideal company profile identification."
Panos Sisamos
Co-Founder, Relevance.
"DiscoLike is right next to Clay in my tech-stack. Took me a couple of hours to get the hang of it, but now I can't live without it. Our process at Relevance relies heavily on accurate TAM mapping, and no one does it better than DiscoLike"
Patrick William Joyce
CEO, Outboundless
"DiscoLike's GTM toolbox is awesome for our daily grind, matching account names to domains like a breeze, segmenting our client list into spot-on company profiles, and modeling target accounts for each one to keep our B2B pipeline humming!"
Raouf Lemouchi
Founder, SalesTech Scout
"DiscoLike has a strong lookalike domain search, their wizard makes it incredibly easy to find high-quality prospects that match our ideal customer profile. Being able to automatically segment my targets is a really good feature."
Alex Vacca
Co-Founder, Cold IQ
"DiscoLike has quickly become a must-have in our campaign workflow. It's incredibly good at uncovering look-alike prospects and companies"
Nick Abraham
Founder, Leadbird.io
"Discolike has streamlined our list building process by allowing our team to create larger more accurate lists in half the time compared to regular data tools"
Put a real search engine under your GTM
- 80M+ companies in our own index
- 1B company pages crawled
- Self-serve from $99/mo, no demo required
- Company data from public web sources