gumroad.com
This is how AI agents (not browsers) experience gumroad.com. The score weights five categories of machine-readability; the ticks on the arc are the 30 individual checks behind it.
Top fixes
No reachable sitemap.xml. Publish one and reference it in robots.txt.
Fix · Webflow: Publish /sitemap.xml and reference it from robots.txt with a Sitemap: line.
No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.
Fix · Webflow: Add JSON-LD in Page Settings → Custom Code (inside <head>) for the page’s type.
Canonical points elsewhere: https://gumroad.com/about. Verify intent (cross-domain canonicals are valid but unusual).
Fix · Webflow: Add <link rel="canonical" href="…"> pointing at the primary URL of each page.
Visible text is 3.3% of HTML weight (4216/128859 bytes). Low. Markup may be crowding out agent-usable text.
Fix: Heavy ad or navigation markup crowds out agent-usable text. Aim for a text-to-DOM ratio above 15%.
Heading issues: 3 <h1> tags (expected 1); 1 skipped level(s).
Fix: Use a single H1 and avoid skipping heading levels (H1 → H3).
A Link: header is present but carries none of canonical/alternate/describedby — the relations agents consume.
Fix: Emit `Link:` headers for canonical, alternate-language, and describedby relations. Agents that fetch HEAD-only or stream-render rely on these.
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Generated, ready-to-ship files for the gaps above — copy them or download and drop them into your repo.
This scan shows whether an agent can read the site. One free probe asks a real assistant a real buying question and records who it cited.
A 65/100 here means agents are missing things you meant them to see. The $29 Deep Scan audits the whole site against all 30 checks and emails a PDF with every failing check and its exact fix, ranked by severity. One-time, no subscription.
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Get this report by email, then a heads-up when gumroad.com’s agent-readiness actually changes — a check regressing, or the composite dropping.
Two things never trigger an email: a score change caused by us publishing a new rubric, because that is a different instrument rather than a change to your site, and movement explained only by timing-derived checks, which shift run to run on a site nobody touched.
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This score says whether an AI agent could read gumroad.com. AI traffic analytics says whether one actually came — and which pages turned it away.
Full breakdown
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