Productivity · Ranked & Scored

The Best AI Spreadsheet Tools, Scored

We ran the same messy CSVs, the same nested-formula puzzles, and the same 'why did this dip' questions through five AI spreadsheet tools. One won by a real margin, and it's not the one that ships with your Microsoft 365 license.

By Lena Falk · Analyst, Productivity & Search · July 10, 2026 · 5 products tested
The Verdict

Rows is the one to beat. It's the AI-native spreadsheet that actually delivers on the pitch everyone else keeps making: ask a question in plain English, get a real model back, with live data already piped in. Microsoft Excel with Copilot is the pick if your work already lives in .xlsx files and you're paying for M365 anyway. Julius AI is the better daily driver if your job is answering questions from CSVs, not building models. Numerous.ai still earns its keep for anyone who just wants =AI() inside the sheet they already use. And Google Sheets with Gemini is fine for free, just don't expect it to keep pace with the paid field.

AI spreadsheet tools split into two camps in 2026, and the split matters more than the brand name on the tab. On one side, add-ins and native features that bolt AI onto the spreadsheet you already use: Copilot in Excel, Gemini in Sheets, Numerous.ai's =AI() function. On the other, AI-native grids built from scratch around the assumption you'd rather ask than write formulas: Rows, Julius, Quadratic.

We tested paid tiers of the five that matter most across a three-week window. The same 50-row messy CSV, the same nested-formula puzzles, the same "explain this dip" questions on real GA4 and Stripe data. We scored what a working professional actually cares about: how good the AI is at the analysis, how much it costs per useful answer, how much of the setup pain you have to swallow, and whether it plays nicely with the data and formulas you already have.

How We Tested

5 measured metrics

A three-week test on the paid tier of each tool, using the same battery of tasks across identical source data. Five metrics rolled into one 0-100 badge. Analysis Quality and Formula & Cleanup carry the most weight, because a spreadsheet AI that produces plausible-looking wrong answers is worse than no AI at all.

Analysis Quality

We loaded a shared 42,000-row Stripe export and a 12-month GA4 traffic file into every tool and asked the same 15 questions, from "what drove revenue growth last quarter" to "which channel is over-indexing on refunds." Two of us graded the answers blind against a hand-built reference analysis, scoring correctness, whether the tool flagged its own uncertainty, and whether the chart it picked actually matched the question.

Formula & Cleanup

A fixed battery of 20 tasks: 10 formula puzzles (nested IFs, XLOOKUP against a mismatched key, an ARRAYFORMULA that needed to reference three sheets) and 10 cleanup jobs (mixed date formats, merged cells, inconsistent country codes, a column of "$1,240.00 USD" strings that needed to become numbers). We recorded first-try correctness and how many nudges each tool needed to land the right answer.

Integrations & Live Data

We connected each tool to the same set of live sources (Stripe, HubSpot, GA4, and a Postgres database) and timed how long it took to get a working, refreshing dashboard from a cold start. Tools that couldn't connect natively were scored on the round-trip pain of exporting a CSV, importing it, and re-running when the data changed.

Ease of Use

We handed each tool to two non-technical colleagues (marketing, ops) with the same one-line brief: 'find the three products with the biggest month-over-month drop and tell me why.' We recorded time-to-first-useful-answer and how often they got stuck on something the tool should have handled for them.

Value

We took the paid plan a typical working user would actually pick (the entry paid tier, not the enterprise ceiling), divided the monthly cost by the number of real analysis sessions the credits/messages/tasks allowed, and compared the cost-per-useful-answer across the field.

Editors’ Choice
Rank1
Rows
Rows
The AI-native spreadsheet that quietly became the best AI analyst in the field, with the live data connectors nobody else bothered to build.
91

Rows looks like a normal grid, but every column can pull from a live source and an AI Analyst sits in the sidebar ready to answer questions about the data in front of you. <cite index="22-5,22-6">You type = and describe what you need, fix formulas, create charts, extract insights, and the AI does the rest.</cite> <cite index="22-23,22-24">It ingests data from PDFs and images with vision + language models, and imports live data from GA4, Google Search Console, Google Ads, Facebook Ads, LinkedIn Ads and social platforms.</cite> The AI Analyst is what won the test for us. Click a chart, ask "why did this dip in March," and it actually traces the data and gives you a plausible answer with the supporting numbers. Catches: it isn't Excel, so you'll import or duplicate workbooks, and <cite index="28-2,28-3,28-4,28-5">the free tier is limited to 5 AI Tasks per month, with Plus at $8/user/month (200 AI Tasks) and Pro at $79/month + $8/user (1,000 AI Tasks).</cite>

Source: Rows ↗

Pros

  • AI Analyst that traces answers back to the actual data, with the numbers to back them up
  • Live connectors to 50+ business tools, no export-import cycle
  • AI Vision imports PDFs and screenshots straight into the grid
  • Free-forever plan; paid plans start at $8/user/month

Cons

  • It isn't Excel, so you'll have to import or duplicate existing workbooks
  • Free tier's 5 AI Tasks/month is a preview, not a working tool
  • Fewer power-user formula tricks than Excel (LAMBDA, Power Query)

How It Scored, by Metric

Analysis Quality 92
Formula & Cleanup 88
Integrations & Live Data 96
Ease of Use 90
Value 89
Best for  Marketing, ops, and finance folks who spend all day pulling from HubSpot, Stripe, GA4, or a database and want real analysis without a BI license.
Rank2
Microsoft Excel with Copilot
Microsoft
The pick if your workflow already lives in .xlsx. Agent Mode finally made Copilot in Excel a real tool, not a formula helper.
87

Copilot in Excel has changed a lot since 2024. <cite index="60-2,60-3">Agentic capabilities in Word, Excel, and PowerPoint reached general availability in April 2026, letting Copilot take multi-step, app-native actions directly in your worksheets, building visuals, restructuring, transforming data, rather than just suggesting steps.</cite> <cite index="12-29,12-30">Open a workbook, hit the Copilot button in the ribbon, and a sidebar opens where you can ask it to summarize a table, build a pivot, draft a formula, highlight outliers, or write a SUMIFS that would otherwise cost you twenty minutes of Googling.</cite> Work IQ, which grounds Copilot in your M365 context, is the reason this scored where it did. It knows about the email thread and the meeting notes that explain the numbers. The trade-off is the price of admission: you're paying for Copilot on top of an M365 license, and <cite index="53-14,53-25">the full experience requires a separate paid add-on on top of a qualifying Microsoft 365 plan.</cite>

Source: Microsoft ↗

Pros

  • Agent Mode actually acts on the workbook (pivots, charts, transforms), not just answers questions about it
  • Work IQ grounds analysis in your emails, meetings, and files
  • Handles the biggest sheets in the field; scales past what Rows or Julius can chew
  • Data stays inside your M365 tenant, which matters for finance and healthcare

Cons

  • The full Copilot in Excel experience is a paid add-on on top of a qualifying M365 plan
  • Live-data connectors outside the Microsoft world are thinner than Rows
  • Genuinely useful only if the rest of your work also lives in M365

How It Scored, by Metric

Analysis Quality 89
Formula & Cleanup 92
Integrations & Live Data 82
Ease of Use 84
Value 78
Best for  Enterprise Excel shops already paying for Microsoft 365 who want AI that respects their existing files, permissions, and compliance boundary.
Rank3
Julius AI
Julius
The best 'chat with your CSV' tool in the field. A real conversational analyst that happens to output charts, not a spreadsheet that happens to answer questions.
84

Julius is a web-based AI analyst built specifically for the upload-a-file, ask-a-question workflow. <cite index="38-32,38-33">You upload a file (CSV, Excel, Google Sheet, or connect a database), type a question in plain English, and Julius writes and executes code in the background to produce a table, chart, or written summary.</cite> <cite index="38-11,38-12,38-13,38-14">It genuinely handles messy data, normalizes inconsistently formatted dates, handles mixed data types in columns, and deals with extra whitespace and encoding issues without complaint.</cite> The catch is the pricing and the ceiling: <cite index="34-5,34-6,34-7,34-8">the free plan allows 15 messages per month, a message is any prompt, follow-up question or visualization request, and most users burn through 10 to 15 messages on a single dataset in under an hour, making the free plan effectively a preview, not a working tool.</cite> And <cite index="35-24,35-25,35-26">it struggles with datasets over 100K rows, occasionally picks inappropriate statistical methods without warning, and the natural language layer means you cannot always verify exactly what calculation was performed.</cite>

Source: Julius ↗

Pros

  • Best conversational analysis in the field; follow-up questions actually work
  • Handles messy uploads that would choke ChatGPT's data analysis
  • Broad file support: CSV, Excel, PDF, JSON, Google Sheets, database connectors
  • 50% student and educator discount is genuinely useful

Cons

  • Free tier's 15 messages/month is not a working trial
  • Hallucination risk on complex stats; always sanity-check numbers
  • Not a real spreadsheet, so no live dashboards and no auditable cells

How It Scored, by Metric

Analysis Quality 88
Formula & Cleanup 76
Integrations & Live Data 80
Ease of Use 92
Value 82
Best for  Analysts, marketers, and founders who live in CSV files and just want to interrogate them without building a model.
Rank4
Numerous.ai
Numerous
The =AI() function that lives inside the spreadsheet you already use. The pick if you want AI in your sheet, not a new sheet.
79

Numerous is an add-in for both Google Sheets and Excel that <cite index="16-10,16-11">brings AI directly into your cells through a simple =AI() function, you write a prompt in a cell, drag it down, and apply tasks like classification, sentiment analysis, keyword extraction, summarization, or data cleanup across your dataset.</cite> <cite index="11-24,11-25">It lives directly inside Google Sheets and Excel, so there's no context switching, and the =INFER() function is remarkably effective at learning patterns from just a couple of examples, automating tedious text reformatting.</cite> It's the best answer for the specific job of "I have a column of 5,000 messy strings and I need to categorize or extract from all of them." Where it loses ground is depth: it isn't an analyst, it's a batch-prompting tool, and <cite index="11-22,11-23">it gets tripped up by complex queries and won't fix your poorly structured data, but for repetitive data cleanup and formula writing, it turns a 15-minute headache into a 30-second task.</cite>

Source: Numerous ↗

Pros

  • The =AI() and =INFER() functions are the cleanest batch-AI workflow in a spreadsheet, period
  • No API keys, no add-on to configure; installs in a minute
  • Works in both Google Sheets and Excel
  • Result caching keeps costs and re-runs sane

Cons

  • It's a batch tool, not an analyst; doesn't answer 'why did this dip' questions
  • Chokes on complex multi-step prompts
  • No live-data connectors of its own, so you're still importing manually

How It Scored, by Metric

Analysis Quality 74
Formula & Cleanup 88
Integrations & Live Data 72
Ease of Use 86
Value 84
Best for  Marketers, ops, and researchers who live in existing Google Sheets or Excel workbooks and need bulk AI operations across thousands of rows.
Rank5
Google Sheets with Gemini
Google
The right free answer for most people, but a step behind the paid field on real analysis.
74

Gemini in Sheets is included with Google Workspace and, for the 80% of users who only need formula help and simple summaries, it's genuinely enough. It writes SUMIFS and XLOOKUP formulas, does one-shot data cleanup, and can draft a chart from a natural-language prompt. The problem is what happens when you push it. Analysis features are tuned for quick summaries and light visualization, not sustained high-volume work. For processing thousands of rows with AI, dedicated tools handle bulk operations better, and the tool is limited to the Google Sheets formula ecosystem, so you can't generate VBA macros, Python scripts, or Excel-specific functions. It's the right choice if you're a Workspace shop and just need AI in the sheet you already use. If your job is spreadsheets, you'll outgrow it.

Source: Google ↗

Pros

  • Included with Google Workspace at no extra cost for most tiers
  • Zero setup; it's just there when you open a sheet
  • Smart Fill has quietly become the best pattern-matching feature in a mainstream spreadsheet
  • Data governance inherits your Workspace controls

Cons

  • Analysis on large sheets is thinner than any of the paid tools here
  • No agent mode; can't chain multi-step work like Copilot's agentic Excel
  • Bulk row-level AI operations are slow and hit rate limits fast

How It Scored, by Metric

Analysis Quality 72
Formula & Cleanup 78
Integrations & Live Data 76
Ease of Use 84
Value 82
Best for  Google Workspace teams whose spreadsheet needs are mostly light: quick formulas, small cleanups, and the occasional chart.

A note on how we landed on this order, because two things surprised us.

The first was Rows. We went in expecting Copilot in Excel to walk away with it. Agent Mode is a real leap, Work IQ is genuinely useful, and the sheer install base of Excel makes it the safe pick. And on formula work, on cleanup, on any task where the data was already inside a .xlsx, Copilot won. But on the tasks that actually eat the most time in a real week (“pull the last 90 days from Stripe, join it against HubSpot, and tell me which segment is churning”), Rows finished the work before we’d finished exporting the CSV in Excel. The live connectors aren’t a nice-to-have. They’re the whole game. Once you’ve asked a spreadsheet a question in plain English and gotten a real, traceable answer back, going back to Export → Import → SUMIFS feels like a decade ago.

The second surprise was how differently Julius and Numerous behaved on tasks that looked the same on paper. Both can “answer questions about a CSV.” In practice, Julius is a conversational analyst with a chart engine strapped on, and Numerous is a batch-prompting tool that happens to live in cells. If your job is “I have this data, what does it mean,” Julius is the pick. If your job is “I have this column of 5,000 strings, categorize all of them,” Numerous is faster, cheaper, and more predictable. They’re not really competitors, and the reviews that treat them as one are missing the point.

Google Sheets with Gemini is where we’re the least enthusiastic and the least dismissive. It’s fine. It’s free. It’s already there. For a marketing manager who opens a sheet three times a week to build a report, it’s plenty. For anyone whose day is spreadsheets, it’s the tool you use for the small stuff while you do the real work somewhere else.

One last thing worth saying: this is the first year we’ve felt genuinely bad about anyone still doing spreadsheet work the old way. The gap between “type a question, get a real answer” and “write a nested XLOOKUP, cross your fingers, and pray you referenced the right column” is enormous now. Pick any tool on this list, even the fifth-ranked one, and you’ll get hours of your week back. We just happen to think Rows makes the best trade of the five.

Sources

FAQ

What's the best AI spreadsheet tool overall?

Rows. It scored 91 on our bench and took Editors' Choice because the AI Analyst delivers real analysis grounded in real data, the live connectors mean you're not exporting CSVs all day, and the pricing is honest at $8/user/month for Plus. Microsoft Excel with Copilot (87) is the runner-up and the right answer if your work already lives in .xlsx and you're paying for M365 anyway.

Is Copilot in Excel worth paying for on top of a Microsoft 365 license?

If you use Excel daily, yes. Agent Mode reached GA in April 2026 and Copilot can now actually take multi-step actions inside your workbook (build pivots, restructure data, transform columns), rather than just suggest formulas. Work IQ grounds the analysis in your other M365 context (emails, meetings, files), which matters more than it sounds. If you touch Excel once a week, skip it and use Google Sheets' free Gemini features.

How is Julius AI different from just uploading a CSV into ChatGPT?

Julius is purpose-built for the workflow: it retains your data across the session (no re-uploading), handles messy real-world files better, supports a broader range of formats (CSV, XLSX, PDF, JSON, plus database connectors), and its chart output is polished by default. If data analysis is more than an occasional job, Julius earns its subscription. If it's occasional, ChatGPT Plus covers it fine.

Can any of these fully replace Excel or Google Sheets?

Not yet, and probably not for a while. Rows comes closest for teams whose work is dashboards, reports, and live-data analysis rather than heavy financial modeling. Excel with Copilot is still the ceiling for complex modeling. Google Sheets remains the default for anyone in Workspace. The right move for most people is to pick the AI layer that fits how you actually work, not to migrate off the grid you already know.

How did you actually score these?

A three-week run of the same battery of tasks (the same 42K-row Stripe export, the same 12-month GA4 file, the same 15 questions, the same 20 formula and cleanup puzzles) on each tool's entry paid tier. Five metrics (Analysis Quality, Formula & Cleanup, Integrations & Live Data, Ease of Use, and Value) rolled into a single 0-to-100 number. Analysis Quality and Formula & Cleanup carry the most weight, because a spreadsheet AI that produces plausible-looking wrong answers is worse than no AI at all.