How to Connect Keyword to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Keyword.com

You have an Excel workbook full of SEO data — keyword lists with target URLs, device types, regional markets, and months of ranking history. You need it pushed into Keyword.com when you're standing up a new project, or pulled back out when a client wants a performance summary, in a way that doesn't collapse into a CSV-reformatting ordeal every time.

Keyword.com is good at tracking Google search positions, share of voice, and keyword movement across projects and regions. But the path between it and your workbook is friction all the way down. The default workflow is: export a CSV, fix the column headers, import it somewhere, wait for it to process, paste the output back — for every client, every month.

Below are the four common ways SEO teams handle this. Only the last one actually fits the pace of the work.

Method 1: Manual Copy-Paste

The default for Excel users is usually a CSV export rather than copy-paste directly. Open a Keyword.com project, download the export, open it in Excel, reformat the columns to match your workbook structure, and paste it in. Or go the other direction: prep the keyword list in the workbook, export to CSV, fix the format, and import into Keyword.com.

For thirty keywords and one client project, that's a mild inconvenience. For 300 keywords across fifteen projects — with device type, Google region, and tracked URL all needing to land in the right Keyword.com fields — the export-import loop becomes a standing weekly tax that nobody budgeted for.

Method 2: Power Automate

Power Automate has connector options that can reach Keyword.com through HTTP actions. You can wire up a trigger — a new row in a worksheet, a scheduled recurrence — that calls the Keyword.com API and writes results back to your workbook.

Quick question: are you comfortable building an HTTP action with manual authentication headers? Do you know what a JSON response body looks like, and how to parse it back into Excel cells? If those questions feel unfamiliar, this isn't the right path — skip to Method 3 or 4.

If you're still reading: the flow works. The challenge is setup cost. You configure the trigger, build the HTTP call with the right endpoint and auth header, parse the JSON response, and use dynamic expressions to map each field back into the correct column. When the Keyword.com API returns a 422 because a region code was wrong, you debug the action log row by row.

And a per-row trigger is not a bulk operation.

Processing 300 keywords through Power Automate means 300 individual HTTP calls, 300 action executions, and a run history that becomes nearly impossible to parse when row 214 fails silently because the device field had an unexpected value.

You probably just need the keyword tracking set up before the client's kickoff call. You probably have no idea how to wire up a Power Automate flow with HTTP actions and JSON parsing — and there's no reason you should. So you hand it off to whoever on your team handles these things, and now the project is blocked until they get to it.

Once you need filtering, aggregation, or cross-sheet joins, Power Automate's native capabilities won't get you there.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable workbook ↔ Keyword.com workflows was a category of add-ons that let you configure column mappings, save templates, and run imports and exports on demand. You tagged your keyword column, mapped your device and region fields, saved the config, ran it.

That was a genuine improvement over pure manual work. Configs were reusable, output was consistent, the team didn't have to rebuild the mapping every time a new project started.

But you were still responsible for every field-mapping decision, every filter condition, every config update when the workbook structure changed. The tool moved the data. The thinking was still entirely yours. And the moment a column got renamed or a new region got added, the config broke until someone went back in and fixed it.

This is the previous generation. It worked, but only if you maintained it.

The Easy Way: Using SheetXAI in Excel

There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you're looking at — keyword columns, device types, region codes, project IDs — and through its built-in Keyword.com integration it can push to or pull from Keyword.com for you. No template configuration, no Power Automate flows, no CSV export cycles. You just ask.

Example 1: Bulk-import a planning workbook into Keyword.com

Add every keyword in column A of this sheet to Keyword.com project ID 4821, using the URL in column B, device in column C, and Google region in column D for each keyword, then write the returned keyword IDs back to column E.

SheetXAI reads each row, maps the fields, sends the batch to Keyword.com, and writes the returned IDs back to column E — so you have a record for every keyword without touching the API yourself.

Example 2: Pull a ranking history summary for a client report

Fetch weekly keyword movement metrics for Keyword.com project 4821 and write a summary table to this sheet showing keyword text, current rank, 7-day change, 30-day change, and whether the trend is 'Up', 'Down', or 'Flat'.

The pattern: instead of exporting raw data and then formatting it, you ask for both in one prompt. SheetXAI handles the conditional categorization — Up, Down, Flat — inline while it writes.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a keyword list or Keyword.com export, then ask it to do one of the tasks above. The Keyword.com integration is included in every SheetXAI plan.