Copy-paste formulas for a SignalHire-style research workflow
Paste a formula into row 2, test it on a few rows, then drag down to run the workflow across your spreadsheet.
Candidate / company summary
A: name or company · B: source notes
=GPT("Summarize this candidate or company for sourcing: " & A2 & ". Source notes: " & B2 & ". Return a short summary, likely role/industry, and one relevance signal. If unsure, say Needs manual research.")
Seniority tag
A: title or profile text
=GPT("Return a short seniority level and function from this text: " & A2 & ". Return only level, function, and confidence.")
Fit score
A: candidate · B: role criteria · C: source text
=GPT("Score this candidate 1-5 for the role. Candidate: " & A2 & ". Role criteria: " & B2 & ". Source: " & C2 & ". Return score, reason, confidence, and what to verify.")
Outreach draft
A: candidate · B: signal · C: role
=GPT("Write a short, specific recruiting opener for " & A2 & " referencing: " & B2 & ". Role: " & C2 & ". Keep it factual, under 60 words.")
Short answer
A SignalHire alternative in Google Sheets is a spreadsheet-native way to research, tag, score, and personalize outreach for candidate or company lists you already have, instead of relying on a separate sourcing tool for every step. GPT for Sheets runs prompts across rows so you get summaries, seniority tags, fit scores, and drafts in adjacent columns.
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 recruiters, sourcers, and SDR teams who use SignalHire for contact data and want a lighter, Sheets-native research and enrichment workflow.
Workflow
A practical sheet for this workflow usually has these columns:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Candidate or company | Stable row anchor per record |
| B | Source notes: profile text, export | Grounds the AI in inspectable evidence |
| C | Role or offer criteria | Sharpens scoring and personalization |
| D | Location or segment | Filters to who you can place or sell to |
| E | AI summary | First useful interpretation of the row |
| F | Seniority tag and fit score | Sorts the list for routing |
| G | Outreach draft 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.
Where a Sheets workflow fits vs. a contact database
SignalHire is used to find emails, phones, and profiles. GPT for Sheets is not a contact-data provider; it is the research, enrichment, scoring, and personalization layer for lists you already have. Keep a dedicated data source where you need licensed contact details. “SignalHire” is a trademark of its owner; this page is unaffiliated and makes no parity or guaranteed-data claims.
Use cases
- Candidate research: summarize profiles into reviewable notes.
- Seniority tagging: classify level and function consistently.
- Shortlisting: score role fit so recruiters focus first on the best.
- Personalization: draft openers grounded in a real signal.
- Cleanup: normalize titles and messy exports.
Best for / not best for
Best for: recruiters and SDRs who already have lists and want Sheets-native research, scoring, and personalization at low overhead.
Not best for: teams whose core need is sourcing new contact data; that requires a dedicated provider.
Use GPT for Sheets as the research and personalization layer on top of your sourcing data, not as a replacement for a contact database.
Internal links and next workflows
- GPT for Sheets product page
- GPT for Sheets pricing
- Recruiter candidate shortlist scoring
- Candidate enrichment template for recruiters
- Normalize job titles in Google Sheets
- Upgrade GPT for Sheets
Safety, compliance, and data quality
GPT for Sheets is a research and enrichment workflow, not a contact database. Use lawful data, respect platform terms, keep source columns visible, and verify contact details before outreach. Do not infer sensitive attributes.
Frequently Asked Questions
Is GPT for Sheets a SignalHire replacement?
For research, tagging, scoring, and personalization on lists you already have, yes. It is not a contact-data provider, so keep a source for new emails or phone numbers.
Does it find candidate contact details?
No. It enriches and interprets data you provide. Use a dedicated source for contact data and verify before reaching out.
Can I score candidates against a role?
Yes. Provide role criteria and source text and the fit-score formula returns a score, reason, and confidence per row.
Does my data stay in Google Sheets?
Yes. Inputs and outputs stay in your spreadsheet columns so the workflow is auditable.
Research and score candidates in Google Sheets
Install GPT for Sheets and run candidate research, scoring, and personalization row by row where your lists already live.