SupaDraft

A keyword clustering tool that maps your search terrain

See keyword clusters, search volume, difficulty and your Search Console rankings on one live map.

Start freeSee how it works

Terrain map

cold brew
Cold brew ratioCold brew makerCold brew vs iced coffeeCold brew concentrateCaffeine in cold brew
Elevation is volumeHatching is difficultyTop 10Positions 8 to 20

Cluster

Cold brew ratio

Monthly volume
12,400
Difficulty38, Easy
Top competitor
steepandstrain.com
Your best position
#12, almost ranking

You rank #12. One focused article could lift this cluster onto page one.

Sample data. Hover or focus a cluster.

Hover or focus a cluster to see its volume, difficulty and top competitor.

What does a keyword clustering tool do?

A keyword clustering tool groups keywords that one page can rank for, so you write one strong article instead of several that compete with each other. SupaDraft’s Terrain map clusters keywords by SERP overlap. When two keywords return many of the same Google results, that’s a strong sign one page can serve both.

Most clustering output arrives as a long spreadsheet. The Terrain map draws it as a topographic map instead:

  • Clusters are the regions of the map.
  • Search volume is elevation, so high-volume keywords stand out as peaks.
  • Difficulty is hatching, so steep competition is visible before you commit.
  • Rankings from Google Search Console appear as pins. One pin marks top-10 rankings. Another marks positions 8 to 20, the “almost ranking” keywords at the bottom of page one or on page two.

For a coffee brand, “cold brew ratio”, “cold brew concentrate ratio” and “how much coffee for cold brew” might form one cluster, while “cold brew vs iced coffee” stands on its own. If the brand already ranks 14th for “cold brew ratio”, a pin shows it right on the hill.

Step by step

How the Terrain map works, step by step

The Terrain map turns a keyword list into a plan in six steps.

  1. Connect Google Search Console. This brings in your rankings, almost-ranking pages and decaying pages, and puts ranking pins on the map.
  2. Add the keywords you’re researching. SupaDraft groups them into clusters by SERP overlap and draws each cluster as a region of the map.
  3. Read the terrain. Tall, lightly hatched areas are high volume with lower difficulty. Heavy hatching means a tougher climb.
  4. Check the pins. Top-10 pins show where you already rank. Almost-ranking pins show where a better page could reach page one.
  5. Reshape the clusters. Lasso a group of keywords to make a new cluster, or drag a keyword from one cluster to another when you know your audience better than the SERP suggests.
  6. Switch to the table view when you want to read keywords as rows, then carry your chosen cluster into a live content brief.

Every step is also available from the ⌘K command palette.

Find almost-ranking keywords with Opportunities

Opportunities is the list of keywords where you already rank in positions 8 to 20, sorted by search volume. These are often the cheapest wins in SEO: Google already sees your page as relevant, and it needs to get better than the few results above it.

Each keyword in Opportunities has a Plan article action. For the coffee brand, the list might put “cold brew ratio” at the top because it has the most volume of any keyword sitting on page two.

Clustering by SERP overlap versus by meaning

SERP-overlap clustering asks what Google actually ranks, while clustering by meaning asks which words look alike. Two keywords can sound similar and still need separate pages: “cold brew” and “cold brew maker” may return very different results, one full of recipes and the other full of product pages. Grouping by shared results keeps those apart. Our guide to keyword clustering covers the method in detail.

Who the keyword clustering tool is for

The Terrain map is for anyone who decides what gets written next.

FAQ

Keyword clustering questions

Straight answers about how SupaDraft works. Anything missing? Start free and look around.

How does SERP-overlap keyword clustering work?

SERP-overlap clustering compares the Google results for each keyword. Keywords that share many of the same ranking pages go in the same cluster, because one page can usually rank for all of them.

What do the pins on the Terrain map mean?

Pins show your Google Search Console rankings. One pin marks keywords where you rank in the top 10. The other marks positions 8 to 20, the almost-ranking keywords where an improved page could reach page one.

Can I change the clusters SupaDraft creates?

Yes. You can lasso keywords into a new cluster and drag keywords between clusters. Your own judgement about the audience always gets the final say.

Is there a table view?

Yes. You can switch from the map to a table view whenever you want to read keywords as rows instead of terrain.

Keep exploring

All features

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Map your keywords in SupaDraft

Connect Search Console, see your clusters as terrain and plan an article from your top opportunity.

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