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Keyword Research

Keyword research is audience research expressed as queries. It reveals what people want, how they phrase it and how valuable each need is — before a single page is written.
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The building blocks

What goes into Keyword Research

Keyword Clustering Demo

Paste keywords (one per line) — they are grouped by shared terms and tagged by likely intent.

How I do it

The process

  1. 1

    Seed

    Products, services, problems, audience language.

  2. 2

    Expand

    Tools + autocomplete + People Also Ask.

  3. 3

    Qualify

    Volume, difficulty, CPC (commercial value), intent.

  4. 4

    Cluster

    Group by shared SERPs; name each cluster.

  5. 5

    Map

    Assign clusters to existing or new URLs.

Principles I follow
  • Seed from customer language: sales conversations, reviews, support tickets.
  • Expand with Keyword Planner, Semrush, Ubersuggest and AnswerThePublic.
  • Classify intent by looking at the SERP, not by guessing from wording.
  • Cluster by SERP overlap and assign one URL per cluster.
  • Prioritise with a simple score: value × intent fit ÷ difficulty.

Measurement

The numbers I watch

Tools I use

  • KPGoogle Keyword Planner
  • SRSemrush
  • UBUbersuggest
  • APAnswerThePublic
  • GTGoogle Trends

What you get

  • Keyword universe
  • Intent-labelled cluster map
  • Priority roadmap
  • Content briefs
New product category launch

No historical search data for the brand in a category.

Use competitor and category-level demand, seasonality from Trends, and build cluster pages ahead of launch.

Illustrative example
Should I target high-volume keywords first?

Usually not. Long-tail, high-intent clusters convert better and build topical authority that later supports head terms.

How accurate are keyword volumes?

Directional. Use them to compare opportunities, then validate with Search Console impressions once pages exist.

Need help with Keyword Research?

Let's talk about what you're trying to achieve.

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