Pay-per-URL SEO audits

Built on ten years of open source

Minifetch is built by the creator and maintainer of url-metadata, an npm package with millions of downloads and tens of thousands of installs every week. The audit isn't a guess about what matters; it's the distilled version of what that package has been doing in production across the open web for a decade. You're getting battle-tested extraction logic with a real track record behind it, not a weekend SEO-audit clone.

Composable by design; built for automation

Our technical SEO page audit isn't a monolith. It's assembled from the same extraction primitives our API toolkit exposes individually: metadata, links, content, previews, redirects. Run the full audit when you want the complete picture, or call a single primitive when you don't. That matters when you're iterating on one fix or monitoring a page over time: you fetch just the piece you need, and you get back just that piece — a fraction of the price, and a fraction of the tokens. Same logic, composable parts, pay only for what you actually call.

SEO isn't dying, it's evolving

People have been calling SEO dead for a decade, and the latest obituary blames AI answers for replacing the click. But the underlying job hasn't changed. Whether it's Google's crawler or an LLM pulling context for an answer, every one of them starts the same way: fetch your HTML, parse it, decide whether it's worth surfacing. A clean, well-structured page wins in both worlds. A broken one loses in both. Run an SEO technical audit and you find out which one you're shipping.

Without SEO, there is no GEO or AEO

Generative Engine Optimization and Answer Engine Optimization are the new acronyms, but they sit on the same foundation SEO always has. An LLM can't cite a page it can't crawl, can't summarize a title that isn't there, and won't trust a site whose structured data contradicts itself. Titles, meta tags, canonical tags, json-ld, robots directives, clean markup — the boring technical fundamentals are exactly what the answer engines read too. Get the SEO basics right and you've already done most of the GEO and AEO work.

It's still about helping people find useful information

Strip away every acronym and the goal hasn't moved in twenty years: connect a person to information that actually helps them. Search engines, AI assistants, and answer engines are just different front doors to the same thing. We build tooling for that — for making good pages legible to whatever's reading them — not for gaming a ranking that won't last the quarter.

No black-box scoring

Most audit tools hand you a number out of 100 and won't tell you how they got there, which is convenient for them and useless for you. Ours is the opposite. Every check we run is published as a readable SKILL.md file, so you can see exactly what we test, why it matters, and how to fix it. That openness is also what makes SEO audit automation trustworthy: if you're going to pipe audits into an agent or a CI step, you need to be able to inspect the deterministic rules driving them, not just take a score on faith.

Tell us what's broken

This is an MVP and it's improving every week. If a check is wrong, a finding is unclear, or there's a feature you would like, say so. Your feedback is valuable and shapes what gets built next. Contact us →