How to Connect CompanyEnrich to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of CompanyEnrich

You have a Google Sheet full of domains — prospect lists, account targets, webinar sign-ups, inbound leads still sitting in raw form. You need company names, industries, employee counts, and tech stacks attached to each one before the list is useful to anyone. CompanyEnrich can return all of that in seconds per domain. But getting the data into your sheet without doing it row by row requires more stitching than it should.

The default flow for most teams is to paste a domain into the CompanyEnrich UI, copy what comes back, tab over to the sheet, paste, move to the next row. Forty domains becomes forty trips. Two hundred domains becomes an afternoon.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual Copy-Paste

Open CompanyEnrich, search for the first domain, copy the fields you care about — industry, headcount, revenue range, country — and paste them into the right columns. Then the next domain. Then the next.

For a list of five companies you need to profile before a quick call, this is fine. Nobody's writing automation for five rows.

But prospect lists don't stay at five. They grow to fifty on a good week and two hundred after a tradeshow. At that point the manual loop becomes the kind of work you start on a Tuesday afternoon and finish annoyed — because by row eighty you've probably entered a field in the wrong column at least once, misread a headcount range, or tabbed over to the wrong row. The data's in the sheet but you've spent the afternoon being a copy machine.

Method 2: Zapier or Make

Both platforms have CompanyEnrich connector options. You can wire up a trigger when a new row is added to the sheet, pass the domain to CompanyEnrich, and write the enriched fields back.

Before describing what that setup involves — a quick check. Do you know what a webhook trigger is? An API key? Field mapping between a JSON response and a named column? Authentication scopes? If those feel unfamiliar, skip to Method 3 or 4. This path requires building the automation yourself, and it assumes you know your way around connector UIs.

Still here? The flow works. You authenticate both sides, select the right CompanyEnrich action, map the response fields to your sheet columns, test with one row, and deploy. When it fires, it fires correctly.

The structural ceiling shows up fast though.

A trigger that fires on new-row-added means one API call per domain, one automation run per row. For a 200-row enrichment, that's 200 separate trigger fires — and when row 147 returns a 404 on an unrecognized domain, the rest don't stop. They silently succeed or silently fail, and you have no clean way to see which ones need a retry.

You probably just need industry and headcount for your whole list before the pipeline review tomorrow. You probably have no idea how to set up error-handling branches in a multi-step Zap. So you hand this to whoever on your team builds automations, and now you're waiting on a Slack reply while the list sits idle. And once you need to filter which rows to enrich, or join results against a second tab, or run conditional logic — Zapier is the wrong tool.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the most usable option for repeatable spreadsheet ↔ enrichment workflows was a category of add-ons that let you configure field mappings and save templates. You specified the domain column, tagged the output fields, saved the config, and ran it.

That was a real step up from copy-paste. The output was consistent. The config was reusable. You didn't have to format the same columns every time.

But you owned the template design, the field mapping, the conditional logic for which rows to include, the column layout. The tool moved the data. The thinking was still yours. And when your sheet gained a new column or changed its tab structure, the config broke until someone went back in and repaired it.

This is the previous generation. It worked, but it asked a lot of the operator.

The Easy Way: Using SheetXAI in Google Sheets

There is a different way entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads your data, understands what you're looking at, and through its built-in CompanyEnrich integration it can enrich, search, filter, and write back — in one prompt. No template to configure, no automation to build, no row-by-row clicking.

Example 1: Bulk-enrich 200 domains before a pipeline review

For each domain in column A, enrich the company using CompanyEnrich and write the company name, industry, employee count, estimated revenue, and country into columns B through F.

Every row gets filled in one pass. Blank cells flag which domains returned no result.

Example 2: Find lookalike companies from your top ten customers

For each domain in column A, find up to 10 similar companies using CompanyEnrich and list each similar company's name, domain, industry, and employee count in new rows below, tagged with the source domain in column E.

The pattern: instead of pulling one dataset and then manually tagging it, you ask for both in one prompt. SheetXAI handles the conditional thinking inline.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a domain column, then ask it to enrich and populate the adjacent fields using CompanyEnrich. The integration is included in every SheetXAI plan.