Copy-paste formulas to research a domain list in Google Sheets
Paste a formula into row 2, test it on a few rows, then drag down to run the workflow across your spreadsheet.
Company summary from domain
A: domain · B: notes · C: what you want
=GPT("From this website domain, summarize the likely company. Domain: " & A2 & ". Notes: " & B2 & ". What we want: " & C2 & ". Return a concise summary, likely industry, and useful signals. Mark inferences as estimated and say Needs manual research if the domain is ambiguous.")
Industry / segment read
A: domain · B: segment options · C: notes
=GPT("Infer the industry/segment for this domain. Domain: " & A2 & ". Segment options: " & B2 & ". Notes: " & C2 & ". Return the most likely segment, confidence, and one signal that supports it.")
Fit score + outreach angle
A: domain · B: ICP criteria · C: offer
=GPT("Score this domain 1-5 for fit and suggest one outreach angle. Domain: " & A2 & ". ICP criteria: " & B2 & ". Offer: " & C2 & ". Return score, reason, a short angle under 40 words, and what to verify manually.")
QA missing-data flag
A: AI output · B: source notes · C: required fields
=GPT("QA this output: " & A2 & ". Source notes: " & B2 & ". Required fields: " & C2 & ". Return missing data, risky assumptions, unsupported claims, and pass/review/fail.")
Short answer
Turning a domain list into company research in Google Sheets is a spreadsheet-native way to go from “I have a list of websites” to enriched, prioritized company rows. Instead of opening each domain one at a time, GPT for Sheets runs prompts across the whole list and produces company summaries, industry reads, fit scores, and outreach angles in adjacent columns.
Fastest path: Install GPT for Sheets → paste your domains → paste a formula from the formula section → review 10 rows → fill down the sheet.
This page is for sales, growth, and analyst teams who start from a list of website domains and want fast, reviewable company research at scale.
Workflow
A practical domain-research sheet usually has these columns:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Website domain | Stable row anchor for each company |
| B | Notes or context you already have | Keeps AI grounded in inspectable evidence |
| C | ICP criteria or what you want | Makes the output specific |
| D | AI company summary | First useful interpretation of the row |
| E | Industry/segment read | Helps filter and route |
| F | Fit score + outreach angle | Turns research into execution |
| G | QA flag | Marks inferences and ambiguous domains |
Step-by-step setup
- Paste domains into column A and any context into column B.
- Start with 10 representative rows before filling down the whole list.
- Add explicit instructions to mark inferences as estimated and flag ambiguous domains.
- Add constraints: max length, required format, and a missing-data rule.
- Add a QA formula that flags assumptions the domain does not support.
- Fill down once the prompt works on sample rows.
What you can infer vs verify
From a domain alone, AI can usually estimate the likely company, industry, and positioning, which is enough to prioritize. It cannot confirm exact details like headcount, ownership, or current contacts. Mark inferred fields as estimated and verify the rows you plan to act on, so prioritization stays fast without treating guesses as facts.
Use cases
- Company research: turn raw domains into reviewable summaries.
- Segmentation: infer likely industry and segment to route the list.
- Prioritization: score fit and surface the best domains first.
- Personalization: draft outreach angles grounded in row-specific signals.
- QA: flag ambiguous domains and unsupported inferences.
Best for / not best for
Best for: teams that start from website domains and want fast, reviewable company research inside Google Sheets.
Not best for: teams that need verified contact records, decisions without review, or a fully managed data platform outside Sheets.
The strongest use case is when you already have a domain list and need structured AI output to prioritize. Use GPT for Sheets as the research and prioritization layer, then verify before outreach.
Internal links and next workflows
- GPT for Sheets product page
- GPT for Sheets pricing
- AI enrichment for CSV exports
- Account research automation
- Email list to company enrichment
- Upgrade GPT for Sheets
Safety, compliance, and data quality
AI output should be treated as a draft. AI-inferred company data is unverified until checked, so do not present guesses as facts, keep source columns visible, and verify before outreach. For outreach, follow consent, deliverability, and local compliance rules.
Frequently Asked Questions
What is the fastest way to research a domain list?
Install GPT for Sheets, paste domains into column A, paste one summary formula into row 2, review the output, then fill it down once it works on sample rows.
Can it identify the company from just a domain?
It can usually estimate the likely company, industry, and positioning, which is enough to prioritize. Treat those as inferences and verify the rows you plan to act on.
What if a domain is ambiguous?
Instruct the formula to return Needs manual research for ambiguous or parked domains, and review those rows by hand.
Should I trust every AI output automatically?
No. Treat output as a structured draft and use QA columns to flag missing evidence, unsupported claims, and rows that need manual research.
Start researching your domain list
If your team already works in spreadsheets, install GPT for Sheets and research your domains where your data already lives.
Install GPT for Sheets or compare plans to turn a domain list into reviewed company research, scores, and outreach.