The Scenario
Your sales manager dropped a tab of 40 company domains into Slack this morning — competitors, partners, and tier-2 accounts from last quarter's pipeline that went dark. She wants a full account map: who's there, what departments, what seniority levels, so the team can decide where to focus re-engagement. "By EOD" was the phrase she used.
Hunter has indexed email patterns and known contacts for most of these domains. The problem is that domain search returns not one result but dozens — names, titles, departments, personal versus generic addresses — all of which need to land in a structured sheet, grouped by domain, not scattered across a single-column dump.
The bad version:
- Open Hunter's domain search UI, type in the first domain, scroll through the results page, figure out how to export, download a CSV, open it, copy the relevant columns, paste them into the sheet below the header row, then go back and do the next domain.
- 40 domains × however many minutes per domain = an afternoon of tab-switching and CSV wrangling.
- Somewhere around domain 15 you realize the CSV columns don't match your sheet headers, and you start reformatting by hand.
This was supposed to be a research task. It turned into a data entry task.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the domains in your tab and through its Hunter integration it can run a domain search for each one, pull the discovered contacts, and write them into your sheet organized by domain — no CSV downloading, no column-matching.
For each domain in column A, run a Hunter domain search and write all discovered email addresses, full names, and job titles to new rows in this sheet, grouped by domain.
What You Get
- New rows added below your domain list for each discovered contact, with the source domain, full name, job title, email address, department, and seniority level in separate columns.
- Contacts grouped so all entries for a given domain appear together before the next domain's results begin.
- A clear structure you can hand to the AE team for prioritization without reformatting.
What If the Data Is Not Quite Ready
You only want contacts above a certain seniority level
Your manager specifically wants director-level and above — no ICs, no coordinators. Hunter's domain search returns everything, and filtering after the fact is tedious.
For each domain in column A, run a Hunter domain search. Write only the contacts with seniority level "director", "vp", "c_level", or "owner" to the sheet. For each qualifying contact, write domain, name, title, email, department, and seniority to separate columns, grouped by domain.
Some domains returned no results and you want to know which ones
After the run you notice some rows in the output are empty. You want a column on the domains tab that flags which ones Hunter had nothing for.
For each domain in column A, run a Hunter domain search. Write discovered contacts to the "Results" tab with domain, name, email, title, department. On the "Domains" tab, add a column B that says "found: N contacts" if Hunter returned results, or "no results" if it returned zero.
You want to split results by department into separate tabs
The AE team wants engineering contacts on one tab, sales contacts on another, and marketing on a third — not everything mixed together.
Run a Hunter domain search for each domain in column A. Route the results to separate tabs based on department: engineering contacts to a tab called "Engineering", sales contacts to "Sales", marketing contacts to "Marketing", and everything else to "Other". Include domain, name, email, title, and seniority in each tab.
You want domain search + email count stats + company enrichment in one pass
Before committing to a full domain search on all 40 domains, you want to know which ones are worth the API credits — and then enrich the domains that are.
For each domain in column A, first get Hunter's email count stats and write the total count to column B. Then run a full domain search only for domains where the count is 10 or more, writing discovered contacts to the "Contacts" tab. For domains below 10, write "low volume — skipped" to column C.
Running the count check first and gating the full search on a threshold is the move when you're working with a long domain list and limited API quota.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet where column A holds a list of company domains. Ask SheetXAI to run a Hunter domain search across all of them and land the contacts in a structured output. See also bulk company enrichment or return to the Hunter overview.