Copy-paste formulas for linkedin & sales navigator export enrichment 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.
Contact + company research
A: name/role · B: company · C: offer
=GPT("Research this exported contact for outreach. Name/role: " & A2 & ". Company: " & B2 & ". Offer: " & C2 & ". Return a short summary, likely seniority and buying role, company fit, and one personalized angle. If evidence is weak, say Needs manual research.")
ICP fit score 1-5
A: role · B: company notes · C: ICP criteria
=GPT("Score 1-5 ICP fit. Role: " & A2 & ". Company notes: " & B2 & ". ICP criteria: " & C2 & ". Return score, reason, confidence, and what to verify before outreach.")
Personalized opener
A: role/name · B: angle · C: offer · D: tone
=GPT("Write an outreach opener for " & A2 & " using this angle: " & B2 & ". Offer: " & C2 & ". Tone: " & D2 & ". Reference the role or company, keep it factual and under 70 words.")
QA + dedupe check
A: AI output · B: row fields · C: required fields
=GPT("QA this output: " & A2 & ". Row fields: " & B2 & ". Required fields: " & C2 & ". Flag missing data, likely duplicates, and unsupported claims. Return pass/review/fail.")
Short answer
LinkedIn & Sales Navigator Export Enrichment in Google Sheets means using AI formulas to enrich and prioritize exported LinkedIn or Sales Navigator lists without leaving the spreadsheet. GPT for Sheets runs prompts across your rows to produce research summaries, fit scores, and personalized next steps in adjacent columns, so the whole workflow stays reviewable.
Fastest path: Install GPT for Sheets → add your source columns → paste a formula from the formula section → review 10 rows → fill down the sheet.
This page is for SDRs and sales teams working from exported lists who keep their lists in spreadsheets and want faster, reviewable AI research at scale.
Workflow
A practical sheet for this workflow usually has these columns:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Contact | Stable row anchor for each record |
| B | Source notes: website copy, export, CRM fields, form data | Keeps AI grounded in inspectable evidence |
| C | Offer or product | Sharpens relevance and scoring |
| D | Target signals (role, seniority, company fit, recent activity hints, and a personalized angle) | Defines what the AI should look for |
| E | AI research summary | First useful interpretation of the row |
| F | Fit score and label | Sorts the list for routing |
| G | Outreach opener or next action | Turns research into execution |
| H | QA flag | Stops unsupported claims before outreach |
Step-by-step setup
- Start with 10 representative rows before filling down hundreds.
- Keep raw source fields unchanged so you can audit the AI output.
- Run one formula to create a research summary, then inspect weak rows.
- Add constraints: max length, required format, and what to do when data is missing.
- Add a QA formula that flags missing facts and unsupported assumptions.
- Fill down once the prompt works on your sample rows.
Why run this workflow in Google Sheets
Heavier GTM platforms can do this, but many SDRs and sales teams working from exported lists would rather not move every list into a separate workspace. GPT for Sheets keeps enrich and prioritize exported LinkedIn or Sales Navigator lists in the spreadsheet your team already shares, so source data, AI output, and QA labels live side by side and stay auditable. Named third-party products are trademarks of their owners; any comparison here is factual and non-defamatory.
Use cases
- Export cleanup: normalize titles, companies, and locations from messy exports.
- ICP scoring: rank exported rows so reps work the best-fit contacts first.
- Personalization: draft openers grounded in role and company, not generic templates.
- Routing: label rows by segment or territory before assignment.
- QA: flag duplicates and rows missing a verifiable company or role.
Best for / not best for
Best for: SDRs and sales teams who export contacts to a sheet and want reviewable AI enrichment, scoring, and personalization per row.
Not best for: teams that need verified email or phone lookup; source contact data lawfully from your own tools first, then enrich here.
The strongest use case is when you already have a list and need structured, reviewable AI output. GPT for Sheets supplies the research and QA layer; you supply lawful, sourced data.
Internal links and next workflows
- GPT for Sheets product page
- GPT for Sheets pricing
- Upgrade GPT for Sheets
- AI enrichment for CSV exports
- AI lead scoring formulas for Google Sheets
- B2B sales account research in Sheets
Safety, compliance, and data quality
AI output should be treated as a draft. Use lawful public and business data only, keep source columns visible, store source URLs or dates when relevant, and verify contact details before outreach. Do not infer sensitive attributes. Follow consent, deliverability, and local compliance rules.
Frequently Asked Questions
Does this scrape LinkedIn?
No. GPT for Sheets does not scrape or access LinkedIn. You export rows through approved means and GPT for Sheets adds AI research and personalization to the data already in your sheet.
Can it find emails for the exported contacts?
No. It does not look up contact details. Use your own compliant enrichment source for emails, then use these formulas to research, score, and personalize.
Will it respect LinkedIn’s terms?
You are responsible for how you export and use data. GPT for Sheets only processes the rows you place in the sheet; keep your sourcing compliant with the platform’s terms and local law.
Should I trust every AI output automatically?
No. Use the QA column to flag duplicates, missing data, and unsupported claims before reps engage.
Start linkedin & sales navigator export enrichment in Google Sheets
If your team already works in spreadsheets, install GPT for Sheets and run these formulas where your exported LinkedIn or Sales Navigator rows already live.