How to Group Keywords by Intent in Google Sheets: Labels → Filters → Clusters (and Stop Cannibalisation)

Introduction

When you drop a big keyword list into a spreadsheet, the problem isn’t the rows. It’s that every keyword looks equal, so your plan turns into noise: overlapping topics, mismatched page formats, and pages competing against each other (keyword cannibalisation).

This tutorial shows exactly how to group keywords by intent in Google Sheets using a simple system: labels → filters → clusters. You’ll get a practical template, copy‑paste formulas, and a working example you can reuse.

Quick Answer

To group keywords by intent in Google Sheets, add an Intent column (Informational / Commercial / Transactional / Navigational), bulk‑tag obvious wording patterns with REGEXMATCH, then filter the sheet to review and standardise labels with dropdowns. Next, assign a cluster/page theme for each shared search objective and map each cluster to one planned URL. Finally, use a pivot table or simple counts to spot URL overlap so you don’t create cannibalisation.

Main Explanation

Search intent is the “why” behind the keyword

Search intent is what the user wants to achieve. Most SEO workflows use four practical categories—informational, navigational, commercial, and transactional—because they map cleanly to page types and content formats.

Search engines focus on meaning and relevance. If the SERP is dominated by tutorials, a generic tool page often won’t rank; if it’s dominated by tools, a broad explainer often won’t rank. Grouping by intent surfaces that reality early.

Labels → filters → clusters

Labels classify each keyword. Filters let you QA and plan quickly. Clusters are the output: groups of keywords that share one search objective and should typically be served by one URL (one strong page per objective, not one page per variation).

Cannibalisation is an architecture bug, not a “more content” problem

Keyword cannibalisation happens when multiple pages on one site compete for the same query and intent in a way that hurts performance. It isn’t always a problem, but it becomes one when your pages overlap so heavily that signals get diluted instead of concentrated.

Step-by-Step Guide

Build the template

Create a tab called Keywords with these columns: Keyword, Intent (auto), Intent (final), Cluster/Page theme, Target URL (planned), Notes/SERP check. Keep it lean; you can add volume later.

Create consistent intent labels

Use a short label set (Informational, Commercial, Transactional, Navigational). If you add “Mixed/Review”, treat it as a temporary holding bucket for manual validation.

Auto-tag the obvious rows with REGEXMATCH

Paste this into B2 (keyword in A2) and fill down. It classifies common modifiers and flags anything ambiguous as “Review”.

=IFS(
  REGEXMATCH(LOWER(A2),"(how to|what is|guide|tutorial|examples|template|cómo|qué es|guía|ejemplos|plantilla)"),"Informational",
  REGEXMATCH(LOWER(A2),"(best|top|review|vs|compare|alternative|tool|software|mejor|comparar|alternativa)"),"Commercial",
  REGEXMATCH(LOWER(A2),"(buy|pricing|price|download|sign up|trial|free tool|comprar|precio|descargar|registrarse|prueba)"),"Transactional",
  REGEXMATCH(LOWER(A2),"(login|dashboard|official|site|brand|iniciar sesi[oó]n)"),"Navigational",
  TRUE,"Review"
)

Review and lock labels with dropdowns + filters

Add an in‑cell dropdown to Intent (final) so reviewers can only select approved labels, then filter for rows where Intent (auto) = Review to resolve edge cases first.

Turn intent groups into clusters

Within each intent, cluster keywords that point to the same objective. Give them one cluster name and assign exactly one planned URL to own that cluster. If you’re unsure, validate by checking what page formats dominate the SERP.

Run a cannibalisation check

Create a pivot table that counts clusters per planned URL. If one URL is “owning” multiple unrelated clusters, decide which theme is primary and split the rest into supporting pages (with clearly different intent). If you want a deeper playbook on avoiding cannibalisation, link to this intent clustering guide.

Examples / Practical Applications

Example sheet (trimmed)

The “Target URL” values below are placeholders to demonstrate ownership: one cluster, one URL.

English + Spanish keyword workflows

Intent modifiers are language-specific, so adapt your rules accordingly. Intent Miner supports both English and Spanish analysis, which helps keep your intent labels consistent before you cluster and map URLs.

Common Mistakes

• Too many labels: big taxonomies slow everything down and reduce consistency.
• Regex as gospel: formulas find patterns, not SERP expectations—review unclear rows.
• Mixed intent clusters: “definition” and “tool” queries often want different page formats.
• One page per variation: this is a direct path to cannibalisation.
• No ownership column: without a single URL per cluster, overlap becomes inevitable.

How the Tool Helps

Google Sheets is great for sorting, filtering, dropdown review, and pivot checks. Intent Miner speeds up the first pass by extracting keywords, classifying intent, and generating suggested H2 ideas you can use as an outline—then letting you export to CSV for Sheets.

Try it with the tool

1. Open the Intent Miner analyser.
2. Paste list → classify intent → export (CSV).
3. Import into Google Sheets, then apply labels → filters → clusters to assign one URL per objective and catch cannibalisation early.

Internal reading: Keyword grouping by intent and Keyword intent classification in Google Sheets.

Conclusion

Grouping keywords by intent in Google Sheets is how you turn a flat list into a content system. Label intent, filter for review, cluster by shared objective, and assign one clear URL per cluster. That’s the difference between organised growth and self-inflicted cannibalisation.

If speed matters, run the list through Intent Miner first (Paste list → classify intent → export), then use Sheets to QA and cluster. Cleaner workflow, clearer intent, fewer wasted pages.