How to Connect CompanyEnrich to Excel (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of CompanyEnrich

You have an Excel workbook 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 workbook 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, switch to Excel, paste into the right columns, and move to the next row. Forty domains becomes forty trips. Two hundred domains becomes an afternoon with nothing to show for it but a filled-in sheet and a dull headache.

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

Method 1: Export and Paste

Many teams export a CSV from CompanyEnrich for whatever batch size the UI allows, then open the file, align columns against their existing workbook structure, and paste the results. Then do it again for the next batch.

For a few dozen companies you're profiling before a quarterly review, the CSV approach is tolerable. You clean the headers, delete the columns you don't need, and paste what remains.

But when the list grows — and prospect lists always grow — each export cycle introduces a new opportunity for the columns to come back in a slightly different order, for a company name to contain a comma that breaks the CSV parse, or for the export to cap at a limit that forces you into multiple files you then have to reconcile. By the third merge of the afternoon, you've stopped trusting the data.

Method 2: Power Automate

Power Automate has connector options for both Excel and CompanyEnrich. You can set up a flow that watches for new rows in an Excel table, passes the domain to CompanyEnrich, and writes the enrichment fields back.

Quick question before going further — are you comfortable with Power Automate flows? Connection scopes, dynamic expressions, error-handling steps, table structure requirements? If those feel like a second language, this isn't your path. Method 4 will get you there without the builder.

For those still reading: the flow can work well. You set the trigger, add the CompanyEnrich action, map the response fields to your Excel columns, test it, and turn it on. Clean architecture if you build it right.

The friction appears at scale.

Power Automate runs one trigger per row. A 2,000-row domain list means 2,000 separate flow runs. Each costs an action, and each failure is isolated — row 412 can fail silently while rows 413 and 414 continue, leaving you with a partial enrichment and no clean audit trail.

You probably just need industry and headcount filled in across your full account list before Thursday's RevOps sync. You probably have no idea which connector version handles CompanyEnrich's response schema correctly. So you file a ticket with IT, and now the list is blocked until someone with Power Automate access picks it up. And once you need conditional filtering — only enrich rows where column C is blank — you've added a second step that requires expressions you've never written before.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the most functional option for repeatable Excel ↔ enrichment workflows was a category of add-ons that let you map domain columns to output fields and save the configuration. You picked your range, tagged your columns, and ran it.

That was a genuine improvement over manual CSV exports. Consistent output, reusable configs, no re-formatting every time.

But the field mapping was still yours to build. The column layout was still yours to define. The tool moved the data. Everything else was still on the operator. And when the workbook changed — a new worksheet, a renamed column, a different header row — the config broke until someone went back in and fixed it.

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

The Easy Way: Using SheetXAI in Excel

There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook. 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 flow 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 Excel workbook with a domain column, then ask it to enrich and populate the adjacent fields using CompanyEnrich. The integration is included in every SheetXAI plan.