SEO Keyword Research
Bomx/seo-keyword-research
Prompt-driven keyword research with scoring, clusters and a 30-day calendar, runnable from several agents
SEO Keyword Research is a prompt and agent configuration that finds buying-intent keywords, scores and clusters them, and builds a 30-day content calendar in an HTML dashboard. Its repository description lists Hermes among the agent systems it can run with.
What SEO Keyword Research does
SEO Keyword Research is a prompt-driven workflow that finds more than 50 buying-intent keywords for a business, scores them, groups them into content clusters and builds a 30-day content calendar from one prompt. The main file, PROMPT.md, is copy-paste ready and model-agnostic. The repo also includes a Claude Code agent config in .claude/agents/keyword-researcher.md and setup docs for the Distribb API, Ahrefs and Google Search Console.
It uses three data methods at different levels. The free default uses Google Autocomplete and pytrends for discovery, relative trends and intent classification. The Distribb API adds real search volume and keyword difficulty, and the Ahrefs API adds volume, difficulty, CPC and global volume; both are paid. Google Search Console, which is free, can be layered on top to add your own clicks, impressions, CTR and ranking positions. The prompt detects which keys are set and uses the best available source. The output is a single HTML dashboard with a sortable keyword table, content clusters, quick wins and CSV export. The repository description names Hermes among the agents it works with, while the README itself centers on Claude Code.
Key features
- One prompt that returns keywords with intent tags, scores, volume and difficulty
- Free keyword discovery through Google Autocomplete and pytrends
- Optional Distribb and Ahrefs APIs for real search volume and difficulty
- Optional Google Search Console data for your actual rankings and content gaps
- HTML dashboard with content clusters, a 30-day calendar, quick wins and CSV export
- Automatic detection of which API keys are configured
When to use it
- Planning a 30-day content calendar for a small business site from an agent session
- Finding low-competition, high-intent keywords to write about first
- Combining Search Console data with keyword discovery to spot content gaps
Who it is for: Marketers and site owners who want agent-driven keyword research with a free default and optional paid data sources.
How it fits with Hermes Agent
A general tool that lists Hermes among several agent systems it can run with; the README itself is written around Claude Code.
How to install SEO Keyword Research
These commands are copied from the project's README. Check the repository for the latest steps before you run them.
git clone https://github.com/Bomx/seo-keyword-research.git
cd seo-keyword-research
cp .env.example .env
claudeRequirements: Claude Code or another LLM that can run code or search the web; API keys for Distribb, Ahrefs or Google Search Console are optional
Note: Two of the three keyword data methods are paid, the Distribb API and the Ahrefs API, and the README focuses on Claude Code rather than Hermes.
FAQ
What is SEO Keyword Research?
SEO Keyword Research is a prompt and agent setup that finds buying-intent keywords, scores them, clusters them into content themes and produces a 30-day content calendar. The result is a single HTML dashboard.
Does SEO Keyword Research work with Hermes Agent?
The repository description names Hermes among the agent systems it can be used with, next to Claude Code and OpenClaw. The README's prompt is model-agnostic, but its code-execution steps need an environment that can run code.
Is SEO Keyword Research free and open source?
The repository is MIT licensed, and the default keyword method costs $0. The optional Distribb API costs $49 a month after a 3-day trial, and the Ahrefs API runs $29 to $449 a month.
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