Instantly Export Enrichment in Google Sheets

Enrich an Instantly export before your next campaign Install GPT for Sheets to research accounts, score fit, and draft personalized first lines for an Instantly export directly inside Google Sheets, with source columns and QA labels visible for review.

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Copy-paste formulas to enrich an Instantly 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 export.

Company research from domain

A: company · B: domain · C: notes

=GPT("Research this account for cold email: " & A2 & " (" & B2 & "). Notes: " & C2 & ". Return a 2-sentence summary, likely pain point, and one specific personalization hook. If evidence is weak, say Needs manual research.")

ICP fit score

A: company · B: ICP criteria · C: source text

=GPT("Score this lead 1-5 for ICP fit. Company: " & A2 & ". ICP: " & B2 & ". Source: " & C2 & ". Return score, reason, confidence, and keep/pause recommendation.")

Personalized first line

A: contact · B: hook · C: offer · D: tone

=GPT("Write one personalized cold-email first line for " & A2 & " using this hook: " & B2 & ". Offer: " & C2 & ". Tone: " & D2 & ". Keep it factual, specific, under 30 words.")

QA / spam-risk flag

A: first line · B: required fields · C: source text

=GPT("QA this cold-email line: " & A2 & ". Required fields: " & B2 & ". Source: " & C2 & ". Flag missing data, unsupported claims, spammy phrasing, and pass/review/fail.")

Short answer

Enriching an Instantly export in Google Sheets means cleaning, researching, scoring, and personalizing your lead list before it returns to a sending tool. GPT for Sheets runs prompts across every row to add company research, ICP fit scores, and personalized first lines in adjacent columns.

Doing this in a sheet keeps source data, AI output, and QA labels together, so you can catch thin or risky rows before they reach a campaign and hurt deliverability.

Fastest path: Install GPT for Sheets → paste your export → add a research formula → review 10 rows → fill down → reimport clean leads.

Workflow

A practical Instantly enrichment sheet usually has these columns:

Column	What to put there	Why it matters
A	Company name	Row anchor for each account
B	Domain / website	Grounds research in an inspectable source
C	Contact and role	Targets personalization
D	Notes / source text	Keeps the AI grounded in evidence
E	AI company summary	First useful interpretation
F	ICP fit score	Decides who stays in the campaign
G	Personalized first line	Drives reply rate
H	QA / spam-risk flag	Stops weak rows before sending

Step-by-step setup

Start with 10 representative rows before filling down the full export.
Keep raw Instantly fields unchanged so you can audit changes.
Run a research formula, then inspect low-confidence rows.
Score ICP fit and pause rows below your threshold.
Add a QA formula to flag missing data and spammy phrasing.
Reimport only clean, scored, personalized rows.

Clean and personalize before you send GPT for Sheets lets you enrich and QA an Instantly export across many rows while keeping source data, outputs, and labels in one spreadsheet.

See GPT for Sheets plans

Why teams enrich exports in Sheets

Sending platforms handle delivery and sequencing, but campaign quality is decided before the send. Doing enrichment, scoring, and personalization in Google Sheets gives a clear audit trail and a human review step for every row. Instantly is a trademark of its owner; this page is unaffiliated, makes no claims about it, and does not link to competitor domains.

Use cases

Pre-send cleanup: normalize names, fix casing, and drop incomplete rows.
ICP filtering: score fit and pause off-target contacts to protect domain reputation.
First-line personalization: draft specific openers grounded in real signals.
List QA: flag spammy phrasing and unsupported claims before sending.
Deliverability hygiene: review rows for risky content that could hurt inbox placement.

Best for / not best for

Best for: outbound teams who export leads to CSV and want reviewable AI enrichment and personalization before loading them back into a sending tool.

Not best for: teams needing a licensed contact database, guaranteed email verification, or fully automated sending decisions without human review.

The strongest use case is the step between export and send: research, score, personalize, and QA in Sheets, then reimport only rows that pass.

Internal links and next workflows

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 ownership and contact details before outreach. Do not infer sensitive attributes. For outreach, follow consent, deliverability, and local compliance rules.

Frequently Asked Questions

How do I enrich an Instantly export in Google Sheets?

Export to CSV, open it in Google Sheets, install GPT for Sheets, paste a research formula into row 2, review the output, fill it down, then reimport the cleaned and scored rows.

Will this verify email addresses?

No. GPT for Sheets researches, scores, and personalizes; use a dedicated verification tool for deliverability and confirm before sending.

Can it write personalized first lines at scale?

Yes, it can draft a first line per row from the signals you provide, but keep a QA column and review for accuracy and tone before sending.

Should I trust every AI output automatically?

No. Treat output as a draft and use QA columns to flag missing evidence, unsupported claims, and rows that need manual review.

Enrich your Instantly export in Google Sheets

If you export leads before sending, install GPT for Sheets and clean, score, and personalize them where the data already lives.

Install GPT for Sheets or compare plans to turn a raw export into a reviewed, personalized list.