seo-keyword-research

seo-keyword-research is a skill for Claude Code from Thibaultbm/claude-seo-geo. It costs 126 tokens per session (5,249 once invoked), scanned A, original, MIT.

A research skill that maps the words buyers search for to specific website pages and adds questions buyers ask AI assistants. It can also check search intent, duplicate targeting, page placement, and quick opportunities using sources such as Search Console and Reddit.

In plain words
What is it for?
Planning SEO pages, assigning keywords to one page each, finding content gaps, checking keyword overlap, and creating prompts that may help pages appear in AI-generated answers.
Why use it?
It replaces guesswork about search wording with a structured plan for which pages should target which topics.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the claude-seo-geo plugin — 19 skills shipped together

Good fit Planning SEO pages, assigning keywords to one page each, finding content gaps, checking keyword overlap, and creating prompts that may help pages appear in AI-generated answers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thibaultbm/claude-seo-geo/seo-keyword-research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Thibaultbm/claude-seo-geo --skill seo-keyword-research
Clone the repo
git clone --depth 1 https://github.com/Thibaultbm/claude-seo-geo

Made for: Claude Code.

Or install claude-seo-geo, the plugin that ships this one along with the rest of its 19 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for seo-keyword-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-keyword-research/github.svg)](https://agentmods.dev/skills/thibaultbm/claude-seo-geo/seo-keyword-research)
Your own site
<a href="https://agentmods.dev/skills/thibaultbm/claude-seo-geo/seo-keyword-research"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-keyword-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for seo-keyword-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/thibaultbm/claude-seo-geo/seo-keyword-research"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-keyword-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,249 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.05249
Opus 5 $0.00063 $0.02625
Sonnet 5 $0.00025 $0.01050
Haiku 4.5 $0.00013 $0.00525

Measured 12d ago against content hash 0145ea6fbb66, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-keyword-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/seo-keyword-research/SKILL.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SEO Keyword Research and AI Prompt Research

Keyword research matches the exact language buyers use to the pages a site offers. In 2026 it produces two deliverables, not one:

  1. A keyword map: every target query validated against real usage, assigned to one search intent and one page.
  2. A buyer prompt panel: 50-100 questions buyers ask AI assistants (ChatGPT, Perplexity, Google AI Mode, Claude, Gemini), each mapped to a page that can earn the citation.

Everything in this skill works with free sources: Google Search Console, Google autocomplete, People Also Ask, competitor sitemaps, Reddit, Wikipedia, and the words customers already use in support tickets and sales calls. Paid tools are an optional final layer, never a prerequisite.

Company knowledge first (Obsidian)

If the working environment contains an Obsidian vault or any local knowledge base (a folder of .md notes, often with a .obsidian directory), read the relevant notes before acting: brand and product facts, target keywords, competitors, and the SEO action log of what was already tried. Ground every recommendation in that context instead of asking the user for facts the vault already holds. At the end of the session, append the actions taken to the vault's SEO action log so the next session starts informed. Vault structure, read-first and write-back protocols: the obsidian-brain skill.

When to use this skill

Use this skill when the user:

  • Asks which keywords to target, what to write about, or how people search for their product or service.
  • Wants a content plan, an editorial calendar, a topic cluster, or a content gap analysis.
  • Suspects two pages compete for the same query (cannibalization).
  • Wants quick wins from existing Google Search Console data.
  • Asks which prompts buyers type into ChatGPT or Perplexity (prompt research, query fan-out, AI topic selection).
  • Is about to brief any new page: blog post (seo-content-blog), product page (seo-content-product-page), service page (seo-content-service-page), or collection page (seo-content-collection-page).

Read the full file on GitHub · 322 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 322 lines · 126 tokens per session scan A 0145ea6fbb66

Subscribe to this mod's changes

seo-keyword-research is a skill published in the GitHub repository Thibaultbm/claude-seo-geo (16 stars, last pushed 2d ago), licensed MIT. It adds 126 tokens to every session and 5,249 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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