AI ToolsSEOAutomation

Why I Build My Own SEO Tools (and When You Should Too)

I have shipped 40+ marketing tools in Python and TypeScript. Here is why a marketer learning to code is the highest-leverage move in SEO right now, and how to decide when to build.

Aug 8, 2026 2 min read
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Most SEO work is not strategy. It is repetitive checking: crawl this, diff that, cross-reference the other thing. For years I did it by hand or paid for a SaaS that did 60% of what I needed. Then I started building the missing 40% myself. I have now shipped more than forty tools, and it has changed how fast I can work.

This is not a "learn to code" sermon. It is a case for treating tooling as leverage.

The tools that paid for themselves

  • A cannibalization detector. Paste a URL or topic, an LLM extracts the keywords, embeds them, and runs a vector search across the whole content corpus to flag overlaps before I publish. A manual cannibalization audit used to eat a full day per site. This does it in thirty seconds.
  • A GSC agent. Pulls Search Console data on a schedule, surfaces decaying pages and new opportunities, and drafts the fix. No more Monday-morning dashboard archaeology.
  • A full audit suite. Crawl, on-page, Core Web Vitals, indexation, and ranking checks with live streaming output, all self-hosted so nothing leaves the machine.

None of these are products I sell. They are force multipliers for the actual work.

When you should build

Build when all three are true:

  1. You do the task often. One-off jobs are not worth automating.
  2. The tool that exists is too slow, too expensive, or missing the last mile. That last mile is usually where the value is.
  3. The logic is clear enough to specify. If you can write the steps in plain English, an AI pair-programmer can write most of the code.

If only one or two are true, use the off-the-shelf tool and move on. Building for the sake of building is a trap.

You do not need to become an engineer

The bar has dropped. With Claude Code, Cursor, and a weekend, a marketer who understands the problem can ship a working tool without a CS degree. Understanding the problem is the hard part, and that is exactly what a marketer already has.

The compounding effect is real: every tool you build makes the next one faster, and the grunt work you automate is time you get back for strategy. That is the whole game.

Want a custom tool for your team's specific workflow? Here is how I scope them.

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