tacobell.com
This is how AI agents (not browsers) experience tacobell.com. The score weights five categories of machine-readability; the ticks on the arc are the 31 individual checks behind it.
Top fixes
No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.
Fix · Next.js: Emit JSON-LD from a Server Component or the Metadata API: a <script type="application/ld+json"> with Organization / Article / Product for the page.
No reachable robots.txt at the site root. Publish one so agents can discover your crawl policy and sitemap.
Fix: Add a `/robots.txt` file at the site root. Even an allow-all file signals intent to agents.
sitemap.xml reachable but not referenced from robots.txt, so agents may miss it.
Fix · Next.js: Add app/sitemap.ts (Next’s sitemap convention) and reference it from robots.txt.
No HTTP Link: response headers. Emit canonical/alternate/describedby relations so HEAD-only or stream-rendering agents get them without parsing HTML.
Fix: Emit `Link:` headers for canonical, alternate-language, and describedby relations. Agents that fetch HEAD-only or stream-render rely on these.
Visible text is 4.6% of HTML weight (4656/100683 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%.
Browser pass unavailable; HTML looks like a JS-shell (e.g. #__next / #root). Likely JS-dependent.
Fix · Next.js: Render primary content on the server: use Server Components (App Router) or getServerSideProps/SSG (Pages Router). Avoid fetching above-the-fold content in a client useEffect, since agents don’t run it.
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Generated, ready-to-ship files for the gaps above — copy them or download and drop them into your repo.
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This score says whether an AI agent could read tacobell.com. AI traffic analytics says whether one actually came — and which pages turned it away.
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