Copyable GPT for Sheets formulas
A research stack in four columns: pull live web data, then qualify and summarize it. Paste into row 2, verify 10 rows against sources, then fill down.
Research a company from the live web
A: company name or domain
=PERPLEXITY("What does " & A2 & " sell, who is their typical customer, and roughly how large are they? Answer in 3 short lines. If you cannot find reliable information, say unknown rather than guessing.")
Pull Google results for each row
A: company or keyword — append the angle you care about
=SERP(A2 & " pricing")
Qualify rows against your criteria
A: research output from the columns above · B: qualification criteria
=GPT("Based only on this research, does the company meet the criteria? Research: " & A2 & ". Criteria: " & B2 & ". Return qualified, disqualified, or needs review — plus a one-line reason citing the research.")
Summarize findings into one clean row
A: company · B: web research output · C: what the summary is for
=GPT("Summarize this research for: " & C2 & ". Company: " & A2 & ". Research: " & B2 & ". Return one line: what they do, one line: why they fit or don't, one line starting with Next:. Flag anything that looks outdated.")
Short answer
PromptLoop and GPT for Sheets both started from the same idea — AI functions in a spreadsheet — but they’ve taken different paths. PromptLoop now positions itself as an AI-powered web research and GTM data platform: its browsing agents read the live web at scale to enrich lists, alongside spreadsheet functions for labeling, extraction, and inference. GPT for Sheets stays spreadsheet-native: everything happens as formulas in your Google Sheet, including web research via =SERP() and =PERPLEXITY().
PromptLoop is the better fit when:
- You want managed web research at scale — agents that browse and read many pages per row and hand back enriched datasets, without you designing the research steps.
- Your work is GTM data production: building company datasets and B2B research lists is the product, not a side task.
- You prefer a platform that runs research jobs for you over composing formulas yourself.
GPT for Sheets is the better fit when:
- You want research inside the sheet you already own, with sources and intermediate outputs visible in adjacent columns.
- Your workflows go beyond research: translation, classification, drafting, cleanup, and image generation in the same add-on.
- You want model choice per formula —
=GPT(),=CLAUDE(),=GEMINI(),=MISTRAL(),=PERPLEXITY()— and bulk speed up to 10,000 results per hour. - You want a free tier and a flat subscription rather than platform pricing; both vendors’ current plans are on their pricing pages.
Honest bottom line: for deep, hands-off web research across huge lists, PromptLoop’s agent approach is genuinely strong. For teams who live in Google Sheets and want one add-on covering research plus every other row-level AI task, GPT for Sheets is the more versatile pick. The formulas below let you test the spreadsheet-native approach on your own list in minutes.
PromptLoop is a trademark of its owner. DocGPT.ai and GPT for Sheets are independent products and are not affiliated with, endorsed by, or sponsored by PromptLoop or any other named company. This page is a factual comparison for buyers evaluating research and spreadsheet AI tools; verify current features and pricing in each product’s own documentation.
Feature comparison
| GPT for Sheets (DocGPT.ai) | PromptLoop | |
|---|---|---|
| AI formulas | =GPT, =CLAUDE, =GEMINI, =MISTRAL, =PERPLEXITY, =SERP, plus =GPT_TRANSLATE, =GPT_CLASSIFY, =GPT_TABLE |
Task-based functions — label, extract, inference — plus platform-run browsing agents |
| Models available | GPT, Claude, Gemini, Mistral, Perplexity families, selectable per formula | Models managed by the platform, tuned for research tasks |
| Bulk speed | Up to 10,000 results/hour in-sheet | Web agents built to enrich large lists quickly server-side |
| Free tier | Yes — no credit card, no API key | Free usage within limits; paid plans scale with research volume |
| API keys required | No (optional custom keys) | No |
| Platform | Google Sheets (Google Workspace) | Web platform plus spreadsheet integrations |
Both products iterate fast — treat this as a snapshot and verify current capabilities with each vendor.
Workflow
A spreadsheet-native research pipeline keeps every step auditable:
| Column | What to include | Why it matters |
|---|---|---|
| A | Company, domain, or search term | The research target, one per row |
| B | =PERPLEXITY() live web answer |
The raw research, kept verbatim |
| C | =SERP() results for one specific angle |
Second source — pricing, reviews, news |
| D | Qualification or summary via =GPT() |
Judgment applied only to visible evidence |
| E | QA flag | needs review for weak or conflicting sources |
Step-by-step setup
- One research target per row — split multi-entity rows first.
- Ask narrow questions: “what do they sell and to whom” beats “tell me about this company.”
- Bake the honesty rule into every prompt: unknown beats guessed. Web answers can be stale or wrong.
- Qualify in a separate formula that reads only the research columns — never let the judging prompt do its own research invisibly.
- Spot-check 10 rows against the actual websites before filling down 1,000.
Use cases
Where each approach shines:
- Prospect list qualification (GPT for Sheets) — research and score 500 domains against your ICP with sources in the next column.
- Competitor and market scans (GPT for Sheets) — pull pricing pages, reviews, and news per row with
=SERP()and summarize with=GPT(). - Deep multi-page research at platform scale (PromptLoop) — when each row needs an agent reading dozens of pages, a managed platform earns its price.
- Mixed workloads (GPT for Sheets) — the same sheet that researches companies also translates the outreach, classifies responses, and drafts follow-ups.
- Dataset production (PromptLoop) — if the deliverable is the enriched dataset itself, a purpose-built data platform fits the job description.
Best for / not best for
GPT for Sheets is best for: sales, SEO, and research teams who want web-aware AI inside their own spreadsheet, combined with the full range of row-level AI tasks, on flat pricing.
GPT for Sheets is not best for: fully hands-off, many-pages-per-row research pipelines. If you need agents that autonomously crawl and synthesize dozens of sources per record, PromptLoop’s platform approach is built for exactly that.
Internal links and next steps
- GPT for Sheets product page
- GPT for Sheets pricing
- GPT for Sheets setup guide
- GPT functions reference
- Clay vs GPT for Sheets
- Coefficient vs GPT for Sheets
- SheetAI vs GPT for Sheets
Frequently Asked Questions
What is the main difference between PromptLoop and GPT for Sheets?
PromptLoop is now primarily an AI web-research and GTM data platform — browsing agents enrich lists server-side, with spreadsheet functions alongside. GPT for Sheets is a Google Sheets add-on where research (=SERP(), =PERPLEXITY()) and processing (=GPT(), =CLAUDE(), =GEMINI()) all run as formulas in your own sheet.
Can GPT for Sheets browse the web?
Its formulas pull live web data: =PERPLEXITY() returns web-grounded answers and =SERP() returns Google results per row. That covers most list-qualification and market-scan work. It does not run multi-page autonomous browsing agents the way PromptLoop’s platform does.
Which handles bigger research jobs?
Different shapes of big. GPT for Sheets processes up to 10,000 results per hour across rows — wide and shallow. PromptLoop’s agents go deep per row, reading many pages each. Match the tool to whether your job is wide, deep, or (for wide-and-shallow-first, then manual deep dives) both.
Do I need API keys with either?
No. Both include model access without your own keys. GPT for Sheets supports optional custom keys if you want to bring your own provider account.
How do the pricing models compare?
GPT for Sheets uses a free tier plus a flat subscription. PromptLoop offers free usage within limits and paid plans that scale with research volume. Neither number here would stay accurate for long — check both pricing pages with your realistic monthly row count in hand.