Copy-paste formulas for a Lusha alternative in Google Sheets
Paste a formula into row 2, test it on a few rows, then drag down to enrich your whole list.
Firmographic research
A: company · B: domain · C: notes
=GPT("Research firmographics for B2B sales. Company: " & A2 & ". Domain: " & B2 & ". Notes: " & C2 & ". Return likely industry, company-size signal, HQ region if evident, and one buying signal. If unclear, say Needs manual research.")
Fit score and reason
A: company · B: ICP criteria · C: source text
=GPT("Score this company 1-5 for ICP fit. Company: " & A2 & ". Criteria: " & B2 & ". Source text: " & C2 & ". Return score, one-line reason, confidence, and what to verify.")
Role / decision-maker mapping
A: company · B: target role · C: notes
=GPT("Suggest which job titles to target at " & A2 & " for this offer. Target role focus: " & B2 & ". Notes: " & C2 & ". Return 2-3 likely titles and why. Use public professional context only.")
Outreach hook
A: company · B: signal · C: offer
=GPT("Write one outreach hook for " & A2 & " based on this signal: " & B2 & ". Offer: " & C2 & ". Keep it factual and under 60 words.")
Short answer
A Lusha alternative in Google Sheets uses GPT for Sheets to research firmographics, score fit, map likely decision-maker titles, and draft outreach hooks across a list of names, companies, or domains — directly in your spreadsheet, without paying per contact credit.
Fastest path: Install GPT for Sheets → add name/company/domain columns → paste a formula below → review 10 rows → fill down.
GPT for Sheets researches and structures data; it is not a licensed contact database. It is the analysis, scoring, and personalization layer for lists you already have or build.
Workflow
What people want from Lusha — and how Sheets covers it
Most Lusha use is about turning a name or company into usable context: industry, size, role targeting, and a reason to reach out. GPT for Sheets covers the research and structuring side inside the spreadsheet you already use, with every output reviewable next to its source.
A practical sheet:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Name or company | Row anchor |
| B | Domain or website | Grounds research |
| C | Source notes or snippet | Keeps output evidence-based |
| D | ICP criteria | Makes scoring specific |
| E | Firmographic summary | First useful interpretation |
| F | Fit score and reason | Sort the list |
| G | Outreach hook | Turns research into action |
| H | QA flag | Blocks weak claims |
Build an enrichment table from names, companies, or domains
- Start with 10 representative rows before filling down.
- Keep raw fields in columns A–D unchanged.
- Run a summary or score formula, then inspect weak rows.
- Add constraints: max length, required format, target persona.
- Add a QA formula for missing facts, then fill down.
Where a dedicated data vendor still makes sense
If your core need is licensed, verified contact records (direct dials, verified emails at scale) with coverage guarantees, a dedicated data vendor like Lusha may still fit that part of the job. GPT for Sheets is best as the research, cleanup, scoring, and personalization layer applied to lists you already hold or assemble. The two can coexist: export from a vendor, then enrich and personalize in Sheets.
Use cases
- Firmographic research: turn company rows into reviewable industry/size notes.
- Fit scoring: prioritize before manual work.
- Role mapping: suggest which titles to target per account.
- Personalization: draft hooks from row-specific signals.
- QA: flag missing evidence.
Best for / not best for
Best for: SDRs, small sales teams, and agencies who keep lists in Sheets and want fast, reviewable research and personalization without per-credit pricing.
Not best for: teams needing guaranteed verified contact data, direct-dial coverage SLAs, or a managed database outside Sheets.
Internal links and next workflows
- GPT for Sheets product page
- GPT for Sheets pricing
- Clearbit alternative in Google Sheets
- CSV lead enrichment
- Enrich company domains
- Find decision-makers from a company list
Safety, compliance, and data quality
Treat AI output as a draft. Keep source columns visible, review important rows before outreach, and do not infer sensitive attributes. GPT for Sheets is not affiliated with Lusha; Lusha is a trademark of its respective owner. Do not present AI research as a licensed contact database, and follow consent and deliverability rules.
Frequently Asked Questions
Is this really a Lusha alternative?
For the research, scoring, and personalization parts of the job, yes: GPT for Sheets does that work inside Google Sheets. It is not a licensed contact database, so for guaranteed verified records a dedicated vendor may still be needed.
Does GPT for Sheets provide verified emails or phone numbers?
No. It researches and structures data you already have or assemble. Verify contact details with appropriate sources before outreach.
How do I start?
Install GPT for Sheets, add name/company/domain columns, paste one formula into row 2, review the output, then fill down.
Is GPT for Sheets affiliated with Lusha?
No. It is an independent tool and is not affiliated with or endorsed by Lusha.
Start your Lusha alternative workflow in Sheets
If your prospects already live in a spreadsheet, install GPT for Sheets and enrich them where they are.