

If you live in Google Sheets, XLOOKUP is the lookup function you reach for when VLOOKUP keeps getting in your way. It searches in any direction, works with both rows and columns, supports wildcards, and lets you control what happens when there’s no match. That means cleaner dashboards, fewer fragile helper columns, and fewer “why is this #N/A again?” moments.But once you start wiring XLOOKUP into live business workflows—pricing sheets, lead routing, inventory syncs—the real bottleneck isn’t the function, it’s the human. Someone still has to open Sheets, paste data, maintain ranges, drag formulas, and sanity‑check results.This is where an AI computer agent shines. Instead of you doing every lookup by hand, the agent can open Google Sheets, set up and copy XLOOKUP formulas, refresh source data, validate errors, and hand you clean tables. You keep the logic; the agent does the clicking, typing, and updating at machine speed.
### The Real Story Behind XLOOKUP in Google SheetsIf you run a business, agency, or sales team, you’ve probably had this day: a giant Google Sheet with leads, prices, SKUs, or campaign results, and someone says, “Can you just match all of these columns up?” Hours later, you’re still dragging formulas and fixing #N/A errors.XLOOKUP is the hero function that makes those joins elegant. An AI computer agent is the assistant that makes them effortless.Below are the top ways to use XLOOKUP in Google Sheets—first manually, then at scale with an AI agent like Simular doing the computer work for you.---## 1. Manual XLOOKUP: Start With the Basics### Way 1: Exact-Match Lookup (Classic Use Case)**Use it when:** You want to pull one value from a clean lookup table.**Example:** Find a customer’s plan from a list.**Steps:**1. Put your search value in a cell, e.g. `E2` contains a customer ID.2. Select the result cell, e.g. `F2`.3. Enter: ``` =XLOOKUP(E2, A2:A100, C2:C100) ``` - `E2` = search_key (customer ID) - `A2:A100` = lookup_range (all IDs) - `C2:C100` = result_range (plan names)4. Press Enter, then drag the formula down for all rows.**Pros (manual):**- Full control and easy to debug.- Great for smaller tables or one-off analyses.**Cons (manual):**- Repetitive for daily/weekly updates.- Error‑prone when ranges change or new rows are added.---### Way 2: XLOOKUP With a Safe Fallback**Use it when:** Data isn’t perfect and some lookups will fail.**Steps:**1. Use the same setup as above.2. In the result cell, enter: ``` =XLOOKUP(E2, A2:A100, C2:C100, "Not found") ```3. Copy the formula down.Now instead of `#N/A`, you see "Not found" for missing keys.**Pros:**- Cleaner dashboards and exports.- Easier for non-technical teammates to read.**Cons:**- Still manual copy-paste and maintenance.---### Way 3: Approximate or Tiered Matching**Use it when:** Pricing, discounts, or commissions depend on ranges.**Scenario:** You have spend tiers in `A2:A10` and discount rates in `B2:B10`. The order total is in `E2`.**Steps:**1. In `F2`, enter: ``` =XLOOKUP(E2, A2:A10, B2:B10, , -1) ``` - The blank fourth argument keeps the default error behavior. - `-1` tells XLOOKUP to use the closest smaller value if there’s no exact match.2. Copy down for all orders.**Pros:**- Handles sliding scales (discounts, tax, salary bands) beautifully.**Cons:**- You must keep the underlying tiers sorted and up to date.---### Way 4: Wildcard Matching for Messy Text**Use it when:** Names, SKUs, or campaign tags don’t match perfectly.**Scenario:** A column with "Peterson, Amy" and you only have "Peterson".**Steps:**1. In the search cell (e.g. `E2`) type the partial value, e.g. `Peterson`.2. In the result cell: ``` =XLOOKUP("*" & E2, A2:A100, D2:D100, "No match", 2) ``` - `"*" & E2` adds a wildcard before the surname. - `2` in `match_mode` turns on wildcard search.**Pros:**- Lets you survive imperfect CRM or export naming.**Cons:**- Risky if many rows partially match; needs careful data design.---## 2. Where Manual XLOOKUP Starts to HurtManual XLOOKUP is great—until:- You’re repeating the same process every day across multiple Sheets.- The lookup ranges live in different files or even different tools.- Team members keep changing structure, breaking formulas.This is where you need something better than another helper column. You need an assistant that knows how to:- Open Google Sheets in the browser.- Paste in new exports from your CRM or ad platforms.- Insert the right XLOOKUP formulas.- Copy them down, check for errors, and fix obvious issues.That’s the job of an AI computer agent.---## 3. Automating XLOOKUP With an AI Computer AgentSimular’s AI agents behave like a focused teammate living inside your computer. Instead of you doing every click and keystroke, the agent can:- Launch your browser and open the right Google Sheets URL.- Import fresh CSVs or copy data from email, CRM, or web apps.- Insert or update XLOOKUP formulas in the correct columns.- Drag formulas down, adjust ranges, and spot #N/A or #REF! issues.- Save, close, and even push results into other tools via webhooks.### Example: Automating a Weekly Lead Enrichment Sheet1. **You define the process once**: “Open `Leads_Master` Sheet, pull new leads from Tab A, match domains to pricing tiers on Tab B with XLOOKUP, and populate Tier + Discount columns.”2. **The agent executes**: It performs each step on-screen—visible, inspectable, and repeatable.3. **You review output**: Scan a few rows, confirm the lookups, then move on with your day.---## 4. Manual vs AI-Agent XLOOKUP: Pros and Cons**Manual XLOOKUP (You in Sheets)**- **Pros:** - Maximum control and visibility. - Great for ad-hoc analysis or learning the logic.- **Cons:** - Time‑consuming for recurring workflows. - Easy to make small, silent mistakes.**AI-Agent XLOOKUP (Simular Doing the Work)**- **Pros:** - Handles thousands to millions of steps reliably. - Transparent execution: you can inspect every action. - Integrates into bigger workflows via webhooks and other tools.- **Cons:** - Requires an initial “teaching” phase so the agent understands your Sheet layout. - You still need to design good data structures and spot‑check results.---## 5. The Sweet Spot: You Design, the Agent ExecutesThe best setup isn’t choosing between you and the agent. It’s this split:- **You**: Design the Google Sheets structure, decide where XLOOKUP belongs, define the business rules.- **AI computer agent**: Handles the grunt work—opening Sheets, applying formulas, copying them across thousands of rows, syncing outputs back into your stack.You stay the strategist. The agent becomes the operator.
Begin with a simple exact-match example. Create a small table, e.g. IDs in A2:A10 and names in B2:B10. In a result cell, enter =XLOOKUP(E2, A2:A10, B2:B10), where E2 holds the ID you’re searching for. Press Enter and confirm the correct name appears. Once it works, copy the formula down and gradually expand ranges.
Use the optional missing_value argument. Instead of =XLOOKUP(E2, A2:A100, C2:C100), write =XLOOKUP(E2, A2:A100, C2:C100, "Not found"). This returns a friendly label when there’s no match. Also ensure your lookup range is correct, contains no extra spaces, and that search values use the same data type (text vs number).
Identify the old VLOOKUP formula and note the lookup column and returned column. Then rewrite it as XLOOKUP(search_key, lookup_range, result_range). For example, replace =VLOOKUP(E2, A2:D100, 4, FALSE) with =XLOOKUP(E2, A2:A100, D2:D100). XLOOKUP doesn’t need the result column to be on the right, making your sheets more flexible.
Yes. Use a row as the lookup_range and another row as the result_range. For example, if subjects are in B1:F1 and scores for one student in B2:F2, use =XLOOKUP("Science", B1:F1, B2:F2). XLOOKUP will find the "Science" header in row 1 and return the value from the same position in row 2, giving you the science score.
You can script automation or use an AI computer agent. Define the repeatable workflow: open a specific Google Sheet, import or paste new data, apply XLOOKUP formulas to target columns, copy them down, and save. Teach a Simular AI agent these steps once, then let it perform them on schedule, while you only review the final results.