Copy-paste formulas to enrich a Crunchbase export 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
A: company · B: Crunchbase fields · C: what you want
=GPT("Summarize this company from a Crunchbase export. Company: " & A2 & ". Exported fields: " & B2 & ". What we want: " & C2 & ". Return a concise summary, sector, and useful signals. Treat any funding/traction value as unverified unless clearly in the source fields.")
Fit score
A: company · B: ICP criteria · C: exported fields
=GPT("Score this company 1-5 for fit. Company: " & A2 & ". ICP criteria: " & B2 & ". Exported fields: " & C2 & ". Return score, reason, confidence, and what to verify manually.")
Contact / outreach angle
A: company · B: signal · C: offer · D: tone
=GPT("Write a specific outreach angle for " & A2 & " based on this signal: " & B2 & ". Offer: " & C2 & ". Tone: " & D2 & ". Keep it factual and under 70 words.")
QA missing-data flag
A: AI output · B: exported fields · C: required fields
=GPT("QA this output: " & A2 & ". Source fields: " & B2 & ". Required fields: " & C2 & ". Return missing data, risky assumptions, unsupported claims, and pass/review/fail.")
Short answer
Crunchbase export enrichment in Google Sheets is a spreadsheet-native way to turn a raw CSV of companies into researched, prioritized rows. Instead of opening each company one at a time, GPT for Sheets runs prompts across the whole export and produces company summaries, fit scores, and contact-angle notes in adjacent columns.
Fastest path: Install GPT for Sheets → import your Crunchbase CSV → paste a formula from the formula section → review 10 rows → fill down the sheet.
This page is for sales, sourcing, growth, and research teams who export company lists from Crunchbase and want faster, reviewable enrichment at scale.
“Crunchbase” is a trademark of its owner. GPT for Sheets is not affiliated with Crunchbase. Respect the source’s terms of use, and treat exported values as unverified until checked.
Workflow
A practical enrichment sheet usually has these columns:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Company name | Stable row anchor for each prospect |
| B | Exported Crunchbase fields | Keeps AI grounded in the source data |
| C | ICP criteria or goal | Makes the output specific |
| D | AI company summary | First useful interpretation of the row |
| E | Fit score | Sorts the list for routing |
| F | Outreach angle or next action | Turns research into execution |
| G | QA flag | Marks unverified funding/traction values |
Step-by-step setup
- Import the Crunchbase CSV and keep the original columns intact in A-B.
- Start with 10 representative rows before filling down the whole export.
- De-dupe and normalize obvious field issues before enrichment.
- Add constraints: max length, required format, and instructions to mark funding/traction as unverified.
- Add a QA formula that flags missing facts and unsupported assumptions.
- Fill down once the prompt works on sample rows.
Cleaning and de-duping the export
Exports often arrive with duplicate companies, inconsistent casing, and partial fields. Before enrichment, remove duplicates, standardize key columns, and decide which exported fields the AI should treat as ground truth versus signals to summarize. Keeping the raw export in place lets you audit every AI output.
Use cases
- Bulk research: turn an export into concise, reviewable company summaries.
- Prioritization: score fit against your ICP before reps invest time.
- Personalization: draft outreach angles from row-specific signals.
- Data cleanup: normalize messy export fields into consistent columns.
- QA: flag rows with unverified funding or traction values.
Best for / not best for
Best for: teams that already export company lists from Crunchbase and want faster, reviewable AI enrichment inside Google Sheets.
Not best for: teams that need a licensed real-time data feed, decisions without review, or a fully managed platform outside Sheets.
The strongest use case is when you already have an export and need structured AI output. Use GPT for Sheets as the research, cleanup, and personalization layer after export.
Internal links and next workflows
- GPT for Sheets product page
- GPT for Sheets pricing
- Apollo export enrichment
- AI enrichment for CSV exports
- Clay alternative for lead enrichment
- Upgrade GPT for Sheets
Safety, compliance, and data quality
AI output should be treated as a draft. Respect Crunchbase’s terms of use, treat exported values as unverified until checked, 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 enrich a Crunchbase export?
Install GPT for Sheets, import the CSV, keep original columns intact, paste one formula into row 2, review the output, then fill it down once it works on sample rows.
Does this replace Crunchbase?
No. It is an enrichment and research layer for data you have already exported. “Crunchbase” is a trademark of its owner and GPT for Sheets is not affiliated with it; respect the source’s terms.
Can it verify funding or valuations?
No. It can summarize values that appear in your exported fields and flag them, but funding and valuation figures must be treated as unverified until you confirm them.
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 enriching your Crunchbase export
If your team already exports from Crunchbase, install GPT for Sheets and run these formulas where your data already lives.
Install GPT for Sheets or compare plans to turn an export into reviewed research, scores, and outreach.