Find verified domains for up to 100 companies. Free.
Paste in a list of company names. Get back a clean spreadsheet with verified website domains, color-coded by match confidence. No empty CRM records. No silent wrong matches. No manual Googling at midnight.
Messy input goes in. Clean data comes out.
| American Bonsai Society | americanbonsaisociety.org |
| Indiana Historical Society | indianahistory.org |
| NRHS, DC Chapter | dcnrhs.org |
| Surtees Society | surteessociety.org.uk |
| Lewis Carroll Society | lewiscarroll.org |
Your CRM does not need more garbage in it.
Every outbound team hits this wall. You pull a list from a trade show, an association directory, a scraped industry roster. You upload it to your sales platform. Half the rows match wrong. A quarter create empty accounts that sit there forever. Some get silently skipped. Now your pipeline reports are off and someone has to clean it up by hand.
We wrote a parser that does the cleaning before any of it touches your CRM.
Already in Apollo.io? Accounts with no website are part of Apollo.io Account Dedupe.
We find their websites with this same engine, so Apollo.io can match them by domain.
What the parser actually does.
Most cheap matchers grab the first search result and call it good. Ours does more work, in this order.
Input cleaning
Strips out LLC, Inc, Corp, Ltd, GmbH, ampersands, weird punctuation, and trailing suffixes that confuse search engines. If your list has extra columns (booth numbers, locations, contact names, whatever), the parser figures out which column is the company name and ignores the rest.
Pre-filtering
Drops obvious junk before spending any compute. Empty rows. Duplicates. Single letters. Number-only rows. Anything that clearly is not a company name.
Search pass
Runs the cleaned name through a search engine to pull candidate domains. Multiple variants per company to catch edge cases.
Verification pass
This is the part that matters. For each candidate domain, the parser opens the homepage and checks: does it actually mention the company name? Is the description consistent? Is it a real corporate site, a directory listing, or a parked domain? Most matchers skip this step. We do not.
Confidence scoring
Every row gets a tier: high, medium, low, or unsure. You decide what to push to your CRM and what to skip.
Here is what you get back.
A color-coded spreadsheet. Sort by tier, push the greens to your CRM, review the oranges, ignore the reds.
| Original Company Name | Verified Domain | Tier |
|---|---|---|
| American Heritage Society | americanheritage.org | High |
| Indiana Historical Society | indianahistory.org | High |
| National Railway Historical Society, DC Chapter | dcnrhs.org | High |
| Surtees Society | surteessociety.org.uk | High |
| Materials Research Society | mrs.org | High |
| Fabian Society | fabians.org.uk | High |
| Illinois Labor History Society | illinoislaborhistory.org | High |
| Society for Military History | smh-hq.org | High |
| Milwaukee County Historical Society | milwaukeehistory.net | High |
| Massachusetts Historical Society | masshist.org | High |
| Acoustical Society of America | acousticalsociety.org | High |
| Hardin County Historical Society | hardincountyhistoricalsociety.com | High |
| North Andover Historical Society | northandoverhistoricalsociety.org | High |
| Scottish Text Society | scottishtextsociety.org | High |
| European Respiratory Society | ersnet.org | High |
| American Society of Landscape Architects | asla.org | High |
| Baltimore Chapter National Railway Historical Society | baltimorenrhs.org | Medium |
| Mycological Society of San Francisco, Incorporated | mssf.org | Medium |
| Americas Society | as-coa.org | Medium |
| Western Regional Authors Guild | homepage unreachable | Low |
| Coastal Mariners Heritage Group | no clear corporate site | Low |
| Smallville Civic Roundtable | no findable web presence | Unsure |
Real output from a recent 100-row job. Company names anonymized.
It is free, up to 100 companies. Then $25 per 1,000.
Bigger lists are $25 per 1,000 companies. Buy the lookups you need, then send the list through the form below: paste the first 100 and note the actual size.
Every list is hand-run by us. Up to 100 companies comes back within 24 to 48 hours. We review every list before processing, so we cannot promise instant turnaround.
Send us your list.
If your list is larger than 100 lines, we will reply within one business day to set it up. Bigger lists are $25 per 1,000 companies.
Common questions.
Why is this free?
We run a B2B outbound agency. Most teams that need clean lists also need help with the rest of their outbound system, sender setup, sequence writing, list strategy. Free domain matching is how we meet those teams. If you only ever need this one thing, that is fine. No sales pressure.
What about my data?
Your file is reviewed privately and deleted after we process it. We do not share, sell, or aggregate uploaded lists. Ever.
Does this replace my Apollo.io import?
No. It is the cleanup step before it. We are an Apollo.io Certified Agency Partner, and Apollo.io is where your list should end up. Apollo.io matches companies most reliably by website domain, and messy lists from event scrapes, association directories or industry rosters often arrive without one. Our parser finds and verifies the domain first, then you import clean rows into Apollo.io or any other CRM.
My accounts are already in Apollo.io with no website. Can you fix them?
Yes. Accounts with no website are part of Apollo.io Account Dedupe. Accounts with contacts or a protected stage (Do Not Prospect, Current Client or opportunity) are left as is, and we find their websites with this same engine, so Apollo.io can match them by domain. The one-time cleanup includes website lookups for up to 500 accounts with no website.
What is the actual match rate?
Across recent jobs, 85 to 95 percent of rows come back as high or medium confidence. The exact rate depends on the list. Industrial trade show rosters tend to land near 88 percent. Association directories often hit 94 percent. B2C lists or very small private companies match lower.
How do I submit my list?
Paste the company names directly into the form, one per line, up to 100 lines. The fastest way: select a single column in your spreadsheet (Excel, Google Sheets, or anywhere else), copy, and paste into the textarea. Extra punctuation, booth numbers, sponsor tags, or LLC suffixes are fine - we strip those automatically.
If your list is bigger than 100 lines, buy the lookups on this page ($25 per 1,000 companies, rounded up to the next 1,000), then paste the first 100 and note the actual size in the form. We will reply within one business day to set it up.
How long does it take?
Up to 100 companies: 24 to 48 hours from submission. Sometimes faster. We hand-run and review every list before running it.
What if my list is bigger than 100 rows?
Free up to 100 companies. Bigger lists are $25 per 1,000 companies. Buy lookups on this page, then send the list through the form: paste the first 100 and note the actual size. We will reply within one business day to set it up. Most jobs land between 500 and 5,000 rows and turn around in two to three business days. Every list is hand-run.
Can you also find contact info?
Yes, that is a separate paid service. Verified decision-maker emails, two to three per company. Ask us about it after you see the domain results.
Stop hand-cleaning lists at midnight.
Send us up to 100 companies. We will send back a clean, color-coded spreadsheet within 48 hours. No catch.
Send my listNot ready to upload? Here is how the alternatives stack up.
Most teams trying to match company names to verified domains end up choosing between five paths. Each has tradeoffs.
Apollo.io import
included in your Apollo.io planWhere most teams start, and where the list should end up. Apollo.io matches companies most reliably by website domain. Lists from event scrapes, association directories and industry rosters often arrive with names only, typos and duplicates, so clean them first and the import has far less to guess.
ZoomInfo or Clearbit
$12,000 to $30,000 per year, annual contractHigh match rates (85 to 95 percent) and good data quality. Built for enterprise. The downside is the price floor and the contract. Hard to justify if you only need to clean a list once a quarter, and you cannot start small.
Clay
Launch plan $185 per month, October 2026 pricingClay can run a domain-matching chain, but you build it yourself: search, homepage check and confidence score, each one a column to maintain. Every row enriched uses an Action plus Data Credits, and the Launch plan includes 2,500 Data Credits a month. Worth it only if your team already lives in Clay. We built ours as code instead, so you get the clean list without learning a table.
Manual Google search
free, plus 8 to 17 hours per 1,000 rowsA patient human searching one company at a time hits 95 percent match accuracy or better. The math is simple: 30 to 60 seconds per company. For a 100-row list that is an hour. For 1,000 rows it is two work days. Most teams start here and quit halfway through.
GTM Works domain finder (this tool)
free up to 100 rows, then $25 per 1,00085 to 95 percent match rate, with confidence tiers so you can see which rows to trust. No CRM pollution because nothing gets pushed until you say so. Faster than manual search, no annual contract, free for small lists. Clean the list here, then import the domains into Apollo.io or any other CRM. Built for outbound teams who need clean data once or twice a quarter, not a yearly enterprise license.
How we built it.
If you are a builder or you want to roll your own, here is the high-level approach. We use Exa (a search API designed for AI workflows) for the candidate search, headless homepage scraping for verification, and a scoring layer that compares the original company name against the homepage's actual content.
For each company, the parser does multiple search variations, then opens the top results and checks for name match in the page header, title, and body. The score weights name match heavily but also rewards domain alignment (the company name appearing inside the domain itself). High-confidence rows hit a perfect score with both signals. Medium-confidence rows have one strong signal and one weaker one. Low and unsure rows get flagged for human review.
The honest answer on building it yourself: a v1 takes a couple of days. A reliable v3 that handles edge cases (international domains, companies with similar names, defunct organizations) takes weeks. We have been iterating on this since 2024.