SEO

Keyword Research

/keyword-research

Claude Code structures keyword research data into prioritized target lists organized by intent cluster, difficulty, and content format opportunity. It bridges the gap between raw keyword data and an actionable content plan.

Capabilities

What this skill does

Cluster keywords by search intent into informational, navigational, and transactional groups

Score keyword opportunities by combining volume, difficulty, and business relevance

Identify SERP feature opportunities including featured snippets, PAA boxes, and image packs

Map keywords to existing pages or flag gaps that need new content

Getting started

How to use it

01

Share your seed data

Export a keyword list from Ahrefs, Semrush, or Google Keyword Planner, or describe your topic and audience for Claude Code to generate seed terms.

02

Run /keyword-research

Specify your site's domain authority range, primary business model, and which content formats you can produce.

03

Build your content plan

Use the clustered and prioritized keyword output to assign topics to your content calendar.

Try these

Example prompts

claude

$Here are 400 keywords from Ahrefs for our project management SaaS. Cluster them by intent and prioritize the top 20 targets for a DA 35 site.

claude

$I need keyword research for a new blog targeting freelance graphic designers. What should I focus on first with a low DA?

claude

$Find keyword gaps between our site and two competitors in the HR software space. Here's our Semrush domain comparison export.

Use cases

Who it's for

Content managers building a 6-month editorial plan from scratch

SEO consultants delivering keyword strategy to clients in new verticals

SaaS companies mapping keyword opportunities to product features and use cases

Common questions

Frequently asked questions

Do I need expensive SEO tools to use this?

No. You can get meaningful keyword data from Google Search Console (free), Google Keyword Planner (free with a Google Ads account), or Ubersuggest's free tier. Claude Code works with whatever data you have and helps you prioritize within those constraints.

How does it handle keyword clustering?

Claude Code groups keywords by semantic similarity and shared SERP intent. Keywords that Google treats as the same query get consolidated to avoid cannibalization. Each cluster gets a primary target keyword and supporting terms.

What's the best way to use keyword research for a new site?

For new sites, Claude Code applies a topical authority strategy, starting with lower-difficulty long-tail terms that establish credibility before targeting competitive head terms. It maps out a phased approach based on your current domain strength.

Related skills

Skills that pair well

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