Search engine · API · MCP · SDK · CLI
GTM 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, ranked and clean. Hand the list to a rep, a Clay table, or the agent that asked.
Paste into any agent: Claude Code, Codex, Cursor, VS Code
Set up DiscoLike for me. Read https://discolike.com/agents.md, follow the steps for this client, then get me signed in.80M+ companies · 98%+ of the market · 3x LinkedIn coverage
Trusted by GTM teams of all sizes
Cold IQ
StackOptimise
Relevance.
Blueprint
understory
OutBoundless
workflows.io
SalesTech Scout
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
- 1Buy a dozen scraped feeds, mostly LinkedIn copies
- 2Join, dedupe, and patch the tables
- 3Resell the copies as “real-time” records
- 4Leave 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. Putting a CLI or an "agent" in front of twenty stitched providers changes the wrapper, not the records.
How DiscoLike works
● clean- 1Crawl every business website on the internet
- 2Index what each company says, in 55 languages
- 3Rank every domain against your ICP
- 4Serve 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.
For Agents & Builders
The search engine your agent can call
An MCP server, a clean API, and an official Python SDK with a CLI. Your agent asks in plain language, and the index answers with ranked companies, technographics, and contacts. Every search returns its query plan and a count first, so the agent knows what it asked for and what it will cost.
- Company search by natural language, lookalike, or exact phrase
- Technographics and firmographics on every domain
- List validation, enrichment, and contact discovery
- Agent opens the account too, no browser until payment
› Set up DiscoLike for me. Read https://discolike.com/agents.md, follow the steps for this client, then get me signed in.› Create a DiscoLike account for me. Follow https://docs.discolike.com/guides/agent-signup/, ask me for anything you need, and tell me what to do next.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 55 languages, including the small, private, and international businesses no scraped feed has.
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.
Identify ideal company profile
Identification of ideal customer segments directly from your current client list.
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.
~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.
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.
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.
How It Works
Ask in Plain Language, Get a Ranked Market
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.
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.
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.
Workflows
One conversation, not a pipeline
The targeting, validation, and enrichment your team does by hand today runs as a single prompt in the app or from your agent. Reps get a ranked list and go sell.
TAM mapping
› Map every company that looks like our top 20 customers, worldwide, and count by country before pulling.
Lookalike expansion
› Find 1,000 companies similar to stripe.com and adyen.com, 50 to 500 employees, exclude our CRM.
Exact phrase targeting
› List companies whose homepage says "managed detection and response" and are based in Germany.
List validation
› Check these 3,000 domains from our CRM: which are live, which redirect, and which use HubSpot.
ICP segmentation
› Cluster our 2,000 customers into ICP segments, describe each, then expand the largest one.
Contacts and CRM push
› For the top 100 matches, find the VP Sales with a verified email and push them to HubSpot.
Why DiscoLike
What a Data Broker Can't Give You
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 55 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
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
Cold IQTestimonials
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