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

The Problem With Getting Sheet Data In and Out of LeadIQ

You have a Google Sheet full of prospect data — company names, LinkedIn URLs, domain names, CRM exports — and you need LeadIQ to tell you what's missing: work emails, direct dials, employee counts, titles. Or you need to go the other direction: run a search in LeadIQ and land the results cleanly in a sheet for the next step in your outreach process.

LeadIQ is good at finding verified contact and firmographic data for B2B sales teams. But the bridge between a sheet full of names and a sheet full of enriched records is always the same bridge: a lot of manual tab-switching. You copy a company name, paste it into a LeadIQ search, find the person, pull the email, switch back to the sheet, paste it in, go again.

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

Method 1: Manual Copy-Paste

The default flow starts with a column of names, domains, or LinkedIn URLs and a second monitor open to LeadIQ. You copy row one, search LeadIQ, find the match, click through to the contact profile, grab the email, grab the phone if it's there, switch back to the sheet, paste both in, and move to row two.

That process works when you have twelve rows and a slow Tuesday.

When you have eighty rows and the outreach sequence needs to go out by end of day, the rhythm breaks. Each switch costs a beat. Each mismatch — a slightly different company name, an ambiguous LinkedIn URL — costs a minute you don't have. By row thirty you're skipping the phone number because it takes an extra click, which means the column stays half empty, which means whoever does the outreach is working with incomplete data.

The sheet you started with is cleaner than the sheet you finish with.

Method 2: Zapier or Make

Both platforms have LeadIQ connector options. You can wire up a trigger on a sheet row or a schedule, call the LeadIQ lookup, and write the result back into your sheet columns.

Before walking through what that actually takes to build — are you comfortable with API connectors? Do you know how to set a trigger, map response fields to sheet columns, and handle type mismatches in the field editor? If those words feel like someone else's job description, you can skip to Method 3 or 4. This route is built for the people who build these things, not the people who need the data.

If you're still here: the setup is real work. You authenticate LeadIQ, pick the right lookup action, map your input column to the query field, map each output field (email, phone, title, company) to a destination column, test against a few rows, and debug the ones that return nulls or unexpected structures.

Once it's running, it works.

But a row-by-row trigger is not the same as a bulk enrichment.

Eighty rows means eighty separate API calls, eighty trigger fires, and a task log that becomes unreadable when row forty-three returns a 404 and the rest quietly skip it.

You probably just need the emails and the phone numbers. You probably have no idea what a Zap's retry logic looks like when a contact record is missing. So you push the setup to whoever on your team builds automations and wait. And if they're already busy, you're waiting for a while.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable enrichment workflows was a category of add-ons that let you configure column mappings against an external API and save templates. You tagged your input columns, you mapped your output fields, you saved a config, you ran it.

That was a genuine improvement over copy-paste. The config was reusable. The output was structured. The team could run it without remembering the steps.

But you were still responsible for defining every mapping, every output column, every filter on which rows to include. If someone renamed column B from "Domain" to "Website," the config broke until someone fixed it. The tool moved the data. The operator still owned the thinking. And the moment your enrichment logic changed — maybe you now want to pull only companies over 500 employees — you were back in the config editor.

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

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 what's in the sheet, understands the column structure, and through its built-in LeadIQ integration it can look up contacts and companies for you. No field mapping, no config, no automation glue. You just describe what you need.

Example 1: Enrich a prospect list with verified emails and direct dials

For each LinkedIn URL in column B, search LeadIQ for the person's work email and direct phone number and write them into columns C and D

SheetXAI reads the URLs, runs the lookups in LeadIQ, and writes verified email addresses and direct dials back into the corresponding rows — one pass, no tab-switching.

Example 2: Build a prospect list from a parameterized search

Search LeadIQ for CISOs at US companies with 500 to 5000 employees, pull the top 50 results, and write name, company, email, and LinkedIn URL into my sheet starting at row 2

Instead of running the search in LeadIQ and exporting manually, the results land directly in the sheet, structured the way the next step of your workflow needs them.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a prospect list, account export, or blank canvas for outreach research — then ask it to enrich or build the list. The LeadIQ integration is included in every SheetXAI plan.