Lasso vs Google Gemini
Gemini can help you in Google Sheets. But your supplier data problem lives outside any single spreadsheet.
If you already live in Google Sheets, Gemini feels like a natural fit. Ask it to rename columns, fill in missing values, or generate a description. It works, inside that one sheet, for that one session.
But when you have multiple suppliers with different formats and languages, need a consistent schema across all of them, and want your team to review the results without wading through spreadsheet tabs? That's not a Sheets problem anymore. That's a product data problem.
The Google Gemini workflow, step by step
You know this routine. Maybe you're doing it right now.
You
Google Gemini
You
Google Gemini
You
Google Gemini
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Google Gemini
You
The result:
You spent hours doing what should take minutes. And next month, when the supplier sends an updated catalog, you start from scratch.
Same task, two ways
The task: Standardize product attributes from 5 suppliers (300 products each) into one consistent schema. Generate SEO descriptions. Export for your store.
With Google Gemini
- 1.Upload the first CSV to Google Sheets
- 2.Describe your target schema to Gemini
- 3.Process rows in batches of 50 (6 rounds per supplier)
- 4.Open a new sheet for the next supplier
- 5.Re-describe the same schema from scratch
- 6.Repeat for all 5 suppliers (30 rounds total)
- 7.Manually merge 5 sheets into one master sheet
- 8.Fix inconsistencies between batches and suppliers
With Lasso
- 1.Upload the supplier file (CSV, Excel, PDF, XML, plain text)
- 2.Select or create a schema (your store's product structure)
- 3.Lasso extracts and enriches all 200 rows using AI agents
- 4.Review in a spreadsheet-style workspace. Fix exceptions inline.
- 5.Export in your store's format, or push directly to Shopify.
Google Gemini
0products processed
Lasso
0products processed
What makes Lasso different
Your product structure, defined once
Create a schema that matches your store's exact requirements. Column types, attribute names, validation rules. Every extraction uses it. Every supplier maps to it. Change it once, it applies everywhere.
Google Gemini has no concept of a persistent schema. Every conversation starts blank.
AI agents, not chat prompts
Lasso runs specialized AI agents across your entire table. Not one product at a time. Hundreds or thousands of products, processed in parallel. Each column can have its own prompt, auto-generated based on context. You control what runs and when.
Google Gemini processes one prompt at a time in a single conversation thread.
A workspace, not a chat window
See all your products in a spreadsheet-style table. Filter, sort, search, multi-select. Edit cells inline. Track what's been processed, what failed, what needs review. Work with your team in real time with live collaborative editing.
Google Gemini gives you a conversation. You're responsible for organizing the output.
Export that matches your store
Export to CSV in your store's exact format using configurable export keys. Push to Shopify directly. Or import into your product catalog with built-in deduplication. Shadow fields let you include computed data without cluttering your main view.
Google Gemini gives you text. Getting it into your store is your problem.
When Google Gemini is the right choice
This page isn't about Google Gemini being bad. It's about using the right tool for the job.
Use Google Gemini when:
- You already work in Google Sheets and need quick in-cell AI help
- You're cleaning up a single small spreadsheet
- You want to generate formulas or pivot tables with AI assistance
- You need a fast answer about a few products, not a pipeline
Use Lasso when:
- You process supplier data regularly (weekly, monthly, per new catalog)
- You need consistent output across hundreds or thousands of products
- Multiple people touch the product data
- Your output needs to match a specific store format or feed spec
- You want the extraction to be repeatable without re-prompting every time