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Free Keyword Clustering Tool

Paste up to 300 keywords. They come back grouped into pages by topic and search intent, ready to write or to build as a site.

Rows pasted from a spreadsheet work: the first column is the keyword, and a Volume, Searches or Impressions column ranks the clusters. Starting from one topic instead? Use the Topic Cluster Maker.

What 30 keywords become

Keyword clustering groups the keywords that one page can rank for: same topic, same search intent. This is the tool's real result for the coffee sample list.

The list

  1. best coffee grinder
  2. best burr grinder under 100
  3. burr vs blade grinder
  4. how to grind coffee beans without a grinder
  5. how to make cold brew coffee
  6. cold brew coffee ratio

+ 19 more

The clusters

Cold Brew Coffee GuideInformational
how to make cold brew coffeecold brew coffee ratiocold brew vs iced coffee
Coffee Grinder ReviewsCommercial
best coffee grinderbest burr grinder under 100burr vs blade grinder
Pour Over Brewing GuideInformational
how to make pour over coffeepour over coffee ratiopour over vs french press

16 clusters: 8 informational, 6 commercial, 2 transactional

The site

  • Home
  • Cold Brew Coffee Guide
  • Coffee Grinder Reviews
  • Pour Over Brewing Guide
  • Coffee Bean Delivery Services
  • French Press Brewing Guide

One page per cluster. The head keyword goes in the title and H1.

  • Cold Brew Coffee GuideInformationalhow to make cold brew coffeecold brew coffee ratio, cold brew vs iced coffee, how long does cold brew last
  • Coffee Grinder ReviewsCommercialbest coffee grinderbest burr grinder under 100, burr vs blade grinder
  • Pour Over Brewing GuideInformationalhow to make pour over coffeepour over coffee ratio, pour over vs french press
  • Coffee Bean Delivery ServicesTransactionalbuy coffee beans onlinecoffee bean subscription, fresh roasted coffee beans delivery
  • French Press Brewing GuideInformationalhow to use a french pressfrench press coffee ratio
  • Home Espresso Machine ReviewsCommercialbest espresso machine for homebest espresso machine under 500
  • Coffee Bean Storage and Shelf LifeInformationalhow to store coffee beansdo coffee beans go bad
  • Coffee Roast Caffeine ComparisonInformationallight roast vs dark roast caffeineespresso vs coffee caffeine
  • Pour Over Brewer ReviewsCommercialbest pour over coffee makerchemex vs v60
  • Grinding Coffee Without GrinderInformationalhow to grind coffee beans without a grinderNone
  • Cold Brew MakersCommercialcold brew makerNone
  • Espresso Machine MaintenanceInformationalhow to descale an espresso machineNone
  • Espresso Beans SelectionCommercialbest coffee beans for espressoNone
  • Arabica Versus RobustaInformationalarabica vs robustaNone
  • Coffee Grinder DealsTransactionalcoffee grinder saleNone
  • Breville Barista Express ReviewCommercialbreville barista express reviewNone

AI output can differ a little between runs. Borderline keywords such as "coffee grinder sale" may join the grinder reviews in one run and stand alone in the next: settle those with a look at Google.

How to use the keyword clustering tool

Real screenshots of the current tool, using the coffee sample. Long results are shown as a preview.

Free Keyword Clustering Tool in its default state before the walkthrough

Clustering keywords for SEO, start to finish

  1. Step 1

    Collect

    Export queries from Search Console or your SEO tool. Keep one theme per list.

  2. Step 2

    Clean

    Drop keywords you would never write about. Repeats are removed for you.

  3. Step 3

    Cluster

    Paste 50 to 300 keywords here and run them.

  4. Step 4

    Check

    Search the head keywords that matter on Google before you write.

  5. Step 5

    Map

    One cluster, one page. Reuse a page you already have before adding a new one.

  6. Step 6

    Link

    Put related pages under a hub page and link them to each other.

    Plan the hub with the Topic Cluster Maker

Two ways to group keywords

Semantic, which this tool does
Groups keywords by what they mean. Instant, free, and it needs nothing but your list.
SERP-based
Groups keywords whose Google results share pages. Closer to how Google sees them, but every keyword costs a lookup.

Rule of thumb: search two keywords from a cluster. If three or more of the top 10 results are the same pages, they belong on one page.

serp_clusters.py
# Group keywords by shared Google results (SERP overlap).
# serps.csv has one row per keyword and ranking URL, with the header keyword,url
# (export the top 10 results for each keyword from your rank tracker or SERP API).
import csv
from collections import defaultdict

MIN_SHARED = 3  # top 10 pages two keywords must share to go together

urls = defaultdict(set)
with open("serps.csv", newline="", encoding="utf-8") as f:
    for row in csv.DictReader(f):
        urls[row["keyword"].strip().lower()].add(row["url"].strip())

clusters, placed = [], set()
for seed in urls:  # file order: put your highest volume keywords first
    if seed in placed:
        continue
    group = [seed] + [kw for kw in urls
                      if kw not in placed and kw != seed
                      and len(urls[seed] & urls[kw]) >= MIN_SHARED]
    placed.update(group)
    clusters.append(group)

for i, group in enumerate(clusters, 1):
    print(f"Cluster {i}: {group[0]}")
    for kw in group[1:]:
        print(f"  - {kw}")

Needs only Python. Feed it a keyword,url CSV of each keyword's top 10 results.

Two keyword overlap examples. "cold brew coffee ratio" and "cold brew ratio": 3 top 10 results appear only for the first, 7 for both and 3 only for the second, so 7 of 10 match and one page covers both. "best coffee grinder" and "how to clean a coffee grinder": 9 appear only for each and 1 for both, so 1 of 10 match and they need two pages.
Example numbers. Search both keywords on Google and count how many of the top 10 results are the same pages.

Five clustering mistakes, and the fix

  • Don't:
    buy coffee grinderhow to clean a coffee grinderin one cluster
    Do:

    Split buying from how-to. Shared words do not mean a shared page.

  • Don't:
    coffeeone cluster of 60 keywords
    Do:

    Break it up until each cluster is one page you could write.

  • Don't:
    pour over vs french pressfrench press vs pour overin two clusters
    Do:

    Same search, same page. The overlap check flags these for you.

  • Don't:
    No head keyword
    Do:

    Pick one keyword per cluster for the title and the H1.

  • Don't:
    Publishing without a look at Google
    Do:

    Check the head keywords that matter first. Any tool can be wrong, this one too.

Your clusters are a sitemap. Grigora builds the site.

Describe your business and Grigora's AI website builder drafts the pages, the copy and the images. Change anything by asking. Page titles, descriptions, a sitemap and Search Console verification come built in.

Free preview before you sign up. 14 day free trial, no card. See plans

Pinecrest Roast and Bake, a coffee roastery website made with Grigora's AI website builder: a large COFFEE MOMENTS headline and a pour over photo
Butter & Crumb, a bakery website made with Grigora's AI website builder: a pink serif logo on deep blue with pastries around it
Made with Grigora's AI builder: Pinecrest Roast and Bake and Butter & Crumb, from the template gallery.

Grigora vs paid keyword clustering tools

A paid SERP tool earns its price when you cluster thousands of keywords a month. For a few hundred, start here.

Grigora (this tool)

Price
Free
Try it free
Yes, no signup
Account needed
No
How it groups
AI, by meaning and search intent
Keywords per run
Up to 300
Search intent labels
Yes, per cluster
Search volume
Kept from your paste

Keyword Insights

Price
From $58 a month (Basic plan)
Try it free
$1 seven day trial, up to 500 keywords
Account needed
Yes
How it groups
By similarity of Google results
Keywords per run
Paid in credits, 1 per keyword
Search intent labels
Yes
Search volume
In its separate keyword discovery tool

SE Ranking Keyword Grouper

Price
From $129 a month, or $103.20 a month billed yearly (Core plan)
Try it free
14 day free trial
Account needed
Yes
How it groups
By matching URLs in Google results
Keywords per run
Not listed
Search intent labels
Not listed
Search volume
Volume checks, charged per keyword

Prices and trials as listed on each vendor's own pricing page on October 31, 2026. Check their sites for current terms.

Questions

About keyword clustering, this tool, and what to do with the result.

Keyword clustering is grouping keywords that one page can rank for: they share a topic and the searcher wants the same thing. Each cluster becomes one page, instead of several thin pages that compete.

Yes. There is no signup, no credit card and no watermark, and you can paste up to 300 keywords per run. It is one of Grigora's free SEO tools.

An AI model groups the keywords one page could answer, by topic and search intent. Grigora's server then checks that every keyword you pasted comes back once, as typed, with leftovers under Not grouped.

Semantic clustering, used here, groups keywords by meaning. SERP-based clustering groups keywords that share pages in Google's top 10, at the cost of a lookup per keyword. Plan here, then check key clusters on Google.

It keeps the volumes you paste but does not look them up. Paste rows with a Volume, Searches or Impressions column and clusters are sorted by total volume, with the top keyword as each head keyword.

As many as one page can serve, which is usually between 2 and 15. A cluster of one is fine when that keyword needs its own page, such as a single product review. A cluster of 40 usually hides two or three pages.

Most clusters follow one pattern: intent (learn, compare, buy), topic, modifier (budget, audience), questions on one subject, or location. Intent comes first, because it decides what kind of page ranks.

Yes. Tap any keyword to move it to another cluster, start a new cluster with it, or make it the head keyword. Undo reverses a change, and your result stays in this browser after a refresh.

By hand: sort the list, add columns for topic and intent, fill them in and filter. That works for a few dozen keywords. For more, run the list here and use Copy for Sheets to paste the clusters back as rows.

Yes. Each cluster is a tight theme, which is what an ad group needs. Commercial and transactional clusters suit ads best, and each ad group should point at the landing page that matches its head keyword.

Cannibalization is two of your pages chasing one search, so neither ranks as well as one strong page would. Clustering picks one page per search, and this tool flags same-word keywords split across clusters.

Yes. Keywords come back exactly as you typed them, and cluster names are written in the language of your keywords. Keep one language per run so the clusters stay clean.

Yes, as a first draft. Under your results, Build this site free sends them to Grigora's AI website builder, which drafts a page for each of your largest clusters. Preview it free, then edit by asking.

More free keyword tools

Updated November 1, 2026 by the Grigora team
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