The good SEO audit tools are locked behind expensive subscriptions.
The free ones barely scratch the surface.

Why This Tool Exists

Why does it matter that this was built by a working SEO specialist, not just a developer?

Because the difference shows up in what gets flagged and how it's explained. A lot of audit tools get built by engineers who know how to crawl a site technically well, but have never sat across from a client trying to explain why a broken canonical tag actually matters for their business. Every check in this tool comes from something that's actually shown up in real client work — not a generic "best practices" checklist copied from somewhere else. That's the practical difference between a tool built to check boxes and one built by someone who has to actually act on the results.

Is this tool actually used on real client sites, or just a side project?

Real client work, genuinely — which is exactly why the page-count cap got removed early on, why the exports are built to actually hand to a client rather than just look impressive in a demo, and why new features keep getting added when a real, recurring gap shows up in day-to-day agency work rather than because they seemed clever in the abstract. A tool that only exists to be shown off tends to look polished and check almost nothing useful. A tool that has to survive actual client audits every week ends up looking rougher around the edges in places, but catches real problems.

Why give this away for free instead of charging for it, like every competitor does?

Partly because most free alternatives cap the page count so low they're barely more than a teaser for a paid plan — genuinely useless for anything beyond a tiny brochure site — and there was a real gap for something actually complete that doesn't do that. And partly because a tool this specific, built around one person's actual day-to-day audit process, is more valuable as a way to demonstrate real technical SEO judgment than as a subscription product competing against companies with entire engineering teams and years of head start.

What actually separates a good technical SEO audit from a bad one?

Whether the findings are grouped by actual root cause or just dumped as a flat list of 200 warnings with no sense of priority. A genuinely useful audit tells you that one underlying template issue is causing 40 of those 200 warnings, and fixing that one thing clears most of the list — not just "here are 200 things, good luck." That prioritization is the actual skill an experienced SEO specialist brings that a purely automated crawler, built without that judgment baked in, tends to miss entirely.

Does hands-on agency experience actually change what a tool like this checks for?

Directly, yes — a few real examples: platform auto-detection exists because half of real client sites run WordPress with Yoast or Rank Math, and a fix instruction that ignores that context is close to useless in practice. Schema detection specifically handles the @graph format those exact plugins generate by default, since a simpler parser that misses that format would silently miss real structured data on a huge share of actual client sites. None of that comes from reading a generic technical SEO checklist — it comes from what actually shows up, over and over, in real audits of real sites.

How do you know the findings from an automated tool are actually accurate?

By checking them against real audits, not just trusting the crawler blindly. Several genuine bugs in this tool's history were caught exactly that way — a multi-sitemap parsing bug that silently dropped pages, a redirect-loop edge case that mislabeled working pages as broken — found because a result didn't match what a manual check of the actual site showed. An automated tool is only as trustworthy as the process that keeps checking its own findings against reality, not just the checks it was originally built with.

Is this a finished product, or does it keep changing?

Very much still changing, and deliberately not treated as "done." New checks get added when a real, recurring pattern earns one, existing checks get corrected when a real edge case reveals a bug, and entire features have been built, tested, and then removed again when they turned out not to actually hold up in practice — better to cut something honestly than leave a low-quality feature sitting on the site because it's already built. That's a genuinely different posture than a lot of SEO tools take, where a feature ships once and never gets revisited regardless of whether it's actually working well.