Quickstart · ZensInk

Prerequisites — Python 3.10+ and a terminal. No pip install, no virtual environment, no API keys.

The 60-second tour

keyword_research → keyword_volume → search_performance → competitor_gap

Each tool feeds the next. Start with seeds, end with a content plan. Let’s walk through the first step.

Clone the repo

git clone https://github.com/respectevery01/zens-ink-seo-package.git
cd zens-ink-seo-package

The toolkit lives in zens_ink/. Each script is standalone — they share zero external dependencies beyond the Python standard library.

Run your first keyword search

python3 -m zens_ink.keyword_research "ai tools"

You’ll see real suggestions pulled from Google Autocomplete — the same predictions you see when typing into Google’s search bar:

Output

ai tools for writing
ai tools for students
ai tools free
ai tools for coding
ai tools for productivity
ai tools for business
ai tools for marketing
ai tools 2026
best ai tools for small business
ai tools like chatgpt

Expand the search

Add --expand to dig deeper:

python3 -m zens_ink.keyword_research "ai tools" --expand

This appends each letter of the alphabet (a–z) after your seed keyword, surfacing suggestions you’d never think of manually.

Input

1 seed

Queries

26 lookups

Output

150–300 keywords

Save to a file

Pipe the output for later use:

python3 -m zens_ink.keyword_research "ai tools" --expand > my_keywords.txt

What just happened? — You discovered 150+ keywords that real humans type into Google — in under a minute, without spending a cent or signing up for anything.

What’s next?

You now have a keyword list. The next question is always: which of these actually get searched? That’s where search volume comes in.

Or jump ahead to competitor analysis to see what your rivals are already ranking for.