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.
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.
If your list is bigger than that, we offer paid options. Submit anyway and note the actual size, and we will reply with a quote within one business day.
The free version is hand-run by us 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 with a quote within one business day.
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.
Why not just use Apollo.io's bulk match?
Apollo.io is a great platform (we are a Certified Apollo.io Partner) but its bulk domain match was not built to handle messy lists from event scrapes, association directories, or industry rosters. It often misses silently or creates empty accounts. The same is true for most CRM bulk imports. Our parser does the cleanup first, then you push verified data into Apollo.io or any other CRM with confidence.
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, paste the first 100 and note the actual size in the form. We will reply with a quote within one business day.
How long does it take?
24 to 48 hours from submission. Sometimes faster. We hand-review every list before running it.
What if my list is bigger than 100 rows?
Submit anyway and note the actual size in the form. We will reply with a paid quote within one business day. Most jobs land between 500 and 5,000 rows and turn around in two to three business days.
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 bulk match
included in $79 to $149 per month planThe default first try for most teams. Match rate is 60 to 75 percent on common B2B lists, and noticeably lower on industrial, mid-market, or international companies. The real cost is the silent failures: empty accounts created in your CRM where there was no match, and wrong matches that look correct until your reps email the wrong company. Cleanup takes hours.
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
$149+ per month plus credit costsPowerful and flexible. You can build a domain-matching workflow that rivals what we do. The catch is the learning curve. Building a reliable verification chain (search, validate homepage, score confidence) takes hours of setup, and the credit costs add up quickly on bigger lists. Best for teams who already use Clay for other things.
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, paid above85 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, more accurate than Apollo.io's bulk match, no annual contract. Free for small lists. 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.