The Scenario
Your sales team handed you an Excel workbook with 500 target company domains in column A. The ask: figure out which ones are running Shopify, Salesforce, or HubSpot before the week's outreach goes out. The enrichment was supposed to be done two days ago. The rep who owns the list sent you a message this morning asking if it's ready.
The bad version:
- Go to BuiltWith.com, paste each domain one at a time, read the technology profile, and type the relevant categories into columns B through F by hand
- Realize around row 40 that you're inconsistently categorizing — some rows say "HubSpot Marketing Hub" and others just say "HubSpot" — so you go back to standardize, which means re-checking rows you already completed
- Get through 80 domains before accepting that you need to find another way, because this cannot be the job for the next three days
Your manager is already asking for the filtered list. Every hour this isn't done is an hour the sales rep is working off an unscored workbook.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the data in your workbook and talks to BuiltWith on your behalf — no API keys to configure, no column mapping to design.
Open the workbook with your 500 domains in column A, then ask:
For each domain in column A, look up its tech stack on BuiltWith and add columns: CMS, Analytics, E-Commerce Platform, Hosting, CDN. Flag any row that uses Shopify or WooCommerce in a new column called E-Comm Flag with the value "Yes".
SheetXAI runs the enrichment across all 500 rows, maps each BuiltWith field to the right column, and applies the conditional flag — all in one pass.
What You Get
- Columns B through F populated with the detected technology in each category (blank where BuiltWith has no data)
- Column G — E-Comm Flag — with "Yes" for every domain running Shopify or WooCommerce, blank otherwise
- Consistent category labels across all rows (no label drift)
- Any domain BuiltWith can't resolve returns a note in the CMS column so you can see which rows need manual review
What If the Data Is Not Quite Ready
The domains are formatted inconsistently — some have https://, some don't, some have www.
Before enriching, clean column A: strip any leading https://, http://, or www. from each domain so all entries are in bare domain format (e.g. example.com). Then run the BuiltWith tech stack enrichment and add CMS, Analytics, E-Commerce Platform, Hosting, and CDN to columns B–F.
Some rows in column A are company names, not domains
For each row in column A, check whether the value looks like a domain (contains a dot and no spaces). If it does, enrich it with BuiltWith tech stack data. If it looks like a company name instead, use BuiltWith to search for the domain associated with that company name, then enrich. Add a Domain column as column B and the tech stack fields starting at column C.
The workbook has multiple worksheets — the domain list is on a sheet called "Targets" and I want the enrichment on a sheet called "Enriched"
On the Targets worksheet, column A has a list of domains. Use BuiltWith to get the tech stack for each domain — CMS, Analytics, E-Commerce Platform, Hosting, CDN — and write the domain plus all enrichment fields to the Enriched worksheet starting at row 2 with headers in row 1.
Do the full cleanup and scoring in one shot
Clean column A (strip https://, http://, www.), then enrich each domain with BuiltWith: CMS, Analytics, E-Commerce Platform, Hosting, CDN. Add those to columns B–F. In column G, write "High Priority" if the domain uses Shopify or HubSpot, "Medium" if it uses any e-commerce platform but not Shopify, and "Low" for everything else.
One prompt does the normalization, the enrichment, and the scoring. You don't have to do them as three separate steps.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook with your prospect domains, then ask it to enrich every row with the BuiltWith fields your team actually needs. See also: pull a technology user list into a workbook and the BuiltWith overview.
