Search engine · API · MCP · SDK · CLI

Search Engine for the Business Web

Ask for your ICP in plain language: lookalike, natural language, or exact phrase. Get every matching company from our own index of 80M+ business websites, clean enough for you or your agent to act on.

80M+ companies · 98%+ of the market · 3x LinkedIn coverage

Query
B2B payment platforms using mainstream CRM tools
FINANCIAL_SERVICES B2B tech: CRM
248,315 companies · ranked by fit ● clean
CompanyTech stackFit
checkout.com Salesforce6sense 98
adyen.com SalesforceMarketo 98
dlocal.com HubSpotCloudflare 97
paddle.com HubSpotStripe 97
worldpay.com SalesforceMarketo 94
ranked companies · contacts on every match · app, API or MCP
80M+
companies in our own index
1B
company pages crawled
3x
the coverage of LinkedIn-based tools
50
languages across 180+ countries

Trusted by GTM teams of all sizes

Affinity
Clay
Cold IQ Cold IQ
StackOptimise StackOptimise
HG Insights
Relevance Relevance.
Blueprint Blueprint
Understory understory
OutBoundless OutBoundless
LeadSpot
TealBook
Databar.ai
Seam AI
Workflows.io workflows.io
SalesTech Scout SalesTech Scout
BrandShield
Leadbird.io

The Difference

Data brokers resell records. We built a search engine.

Every other platform stitches the same bought feeds behind an API and calls it search. A search engine works the other way around: crawl the web, build the index, rank the results.

How a data broker works

  1. 1 Buy a dozen scraped feeds, mostly LinkedIn copies
  2. 2 Join, dedupe, and patch the tables
  3. 3 Resell the copies as “real-time” records
  4. 4 Leave you to validate what's left

However fresh the copy, it is still a copy of a scrape. The gaps, duplicates, and dead domains come with it.

How DiscoLike works

● clean
  1. 1 Crawl every business website on the internet
  2. 2 Index what each company says, in 50 languages
  3. 3 Rank every domain against your ICP
  4. 4 Serve results in the app, by API, or by MCP

When you own the crawl, coverage and accuracy are yours to guarantee, not to inherit from someone else's scrape.

Sample search

Watch a real search, start to finish.

From a plain-English ICP to a ranked, validated list of companies and contacts, straight from the index. Try the filters yourself.

Solutions

One Index, Every Step of List Building

Search across 98% of existing companies

Our own index covers 98% of companies globally in 50 languages, including the small, private, and international businesses no scraped feed has.

Resultsprimary-source
electric.ai IT Services
solvhealth.com Healthcare
abbyy.com Software
bringg.com Supply Chain

Find contacts across the open web

ContaGen runs a live web search for each company and verifies every email before you see it. 3x more contact data than LinkedIn-based datasets, in the verticals they miss.

bringg.comLive search
Head of Payments email verified
VP Engineering email verified
Director of Risk email verified
CFO no valid email

Identify ideal company profile

Identification of ideal customer segments directly from your current client list.

my-clients.csv→ 4 segments
Cybersecurity 34%
Big Data 27%
Software 22%
Marketing 17%

Benefits

Everything the business web says, indexed and searchable.

Find target accounts in verticals no feed can see

The index gives us visibility into every business website, delivering accounts where LinkedIn, Apollo, Clay, ZoomInfo, and every broker reselling their scrapes fall short. We help you double or triple your high-fit target accounts.

DiscoLike 80M+
LinkedIn-scraped tools ~24M

~3x the coverage, because we crawl every business website.

Accuracy from the source, not from a copy

We check every secure website on the internet ourselves, so accuracy is something we guarantee rather than inherit. If a company has a website, we cover it, and dead, obsolete, or parked domains never reach your list.

Live domain check ● SSL-verified
acme.com active
novatech.co active
oldco.net parked — removed
deadsite.io dead — removed

Checked at the source, so dead records never reach your list.

Search what companies say, not how they're labeled

Every bit of website data is queryable without building your own scraping automations. Site text, social links, mobile apps, maps, locations, specific words, and exact phrases can all be searched and targeted directly.

Signals extracted
Site textSocial linksMobile appsTech stackCTAsKeywordsLocationsPhrases

The full digital footprint, ranked and queryable

Owning the crawl means we see accurate company start dates, growth patterns, business functions, subdomains, and the vendors powering each site. We have more vendor data than most specialized technographics providers.

A
Acme Corp
acme.com
Verified
EMPLOYEES
500
FOUNDED
2016
MODEL
B2B SaaS
StripeSegmentHubSpotSnowflake

How It Works

Ask in Plain Language, Get a Ranked Market

01

Describe your ideal company profile

Prepare your best ideal company profile (ICP) description in natural language, or select four to five sample domains, and we will generate the ICP description for you.

02

Add filters and match phrases

Add additional filters like country, company size, and possibly a few specific words that the homepage must include. Or go deeper with our advanced targeting options.

03

Make iterations until results are a perfect fit

We will compare your input with website text and firmographic profiles from 80 million business domains, apply your filters, and show you the results ranked by similarity.

Why DiscoLike

What a Data Broker Can't Give You

DiscoLike
Brokers & Scrapers
Our own crawl, index, and ranking of the entire business web
A dozen bought feeds stitched behind one API and resold as 'real-time'
~3x LinkedIn coverage, and more than double any competitor
Using aging LinkedIn scrapes with outdated descriptions and keywords
98% accuracy validated by SSL certificates — no parked, dead, or obsolete domains
20% of profile records have wrong, parked domains, or redirects
No natural language search, domain lookalike is only a keyword search approximation
Exact phrase or word match with homepage text for site intent targeting
Requires writing your own automation script in Clay or N8N to get website text
Custom LLMs trained on text from 80M+ business websites
Recycling self-reported LinkedIn keywords and LinkedIn taxonomy
Identification of top-performing company profiles from your client and prospect lists
Tired, weakly performing segmentation limited to simple groupings of industry and employee numbers
First-party contacts with SMTP-validated emails, searchable by persona, title, or plain language
Contact records resold from the same bought feeds, bounces included
Nine bulk datasets refreshed daily, weekly, or monthly
Flat files refreshed monthly, quarterly, or yearly
$99 self-serve, searching in minutes
Book a demo, get a quote, buy credits that expire before you use them

For Agents & Builders

The search engine your agent can call

DiscoLike is an MCP server and a clean API. Your agent asks in plain language; the index answers with ranked companies, technographics, and contacts. Nothing to stitch, nothing to re-clean, no feeds to babysit.

  • Company search by natural language, lookalike, or exact phrase
  • Technographics and firmographics on every domain
  • List validation, enrichment, and contact discovery
  • OAuth login, no key management
Connect via MCP
claude mcp add --transport http discolike \
  https://api.discolike.com/v1/mcp

Works with Claude, Cursor, VS Code, and any MCP client. Setup docs →

Datasets

The index, shipped in bulk

Every layer of the crawl is a product. Nine flat-file datasets delivered daily, weekly, or monthly as JSON, CSV, or straight to your S3 bucket. Refreshed on your schedule, not once a quarter.

BizData

Company profiles with firmographics, contact info, and industry classifications.

Vendor Integration

The technology stack behind every domain. Deeper than most technographics specialists.

Site Text

Extracted homepage content from the crawl, across 50 languages.

Domain Status

Active and inactive domain tracking, so dead records never reach your pipeline.

Certificate Stream

SSL certificate history: domain age, ownership changes, and validation signals.

Subsidiaries Linkage

Corporate hierarchies connecting parents, subsidiaries, and brands.

PublicLink

Corporate groups and portfolios linked by shared emails, phones, and social URLs.

Redirect Domains

Domain redirect mapping across the entire index.

DNS

DNS records for every business domain we cover.

Domains found

49,203

Top similarity

99/100

Cold IQ case study results in DiscoLike

Case Studies

Find 1000's of high‑fit accounts missed by traditional tools

DiscoLike finds companies based on how they describe themselves, not how they're labeled.

  • Website-level matching
  • Domain similarity search
  • Language pattern detection
  • Database of 80M+ business domains

+15,000 new contacts discovered

Testimonials

Hear it from our users

Verified
Dan Rosenthal

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."

Verified
Alex Fine

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."

Verified
Jordan Crawford

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."

Verified
Felix Frank

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."

Verified
Panos Sisamos

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"

Verified
Patrick William Joyce

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!"

Verified
Raouf Lemouchi

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."

Verified
Alex Vacca

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"

Verified
Nick Abraham

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"

DiscoLike

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
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