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This is a sample report for an illustrative business. No real company is described.

How to read this report
  • The score (0–100) and grade sum six weighted categories of what AI agents can reach and understand.
  • Findings are grouped by severity; "+N pts" is how much the score would rise if that one issue were fixed.
  • Generated fixes are ready-made files built from the findings — they come with Pro.
  • A blocked site has no score: access must be restored before anything else counts.

Sample audit report · point-in-time example · Online store

trailhead-outfitters.example

C

Audit overview

Scored as: Online store · What this means · Methodology

Crawlable, but its products are invisible to shopping agents: no Product markup, prices only as styled text, no machine-readable stock.

Category scores

Commerce readiness only counts if you sell online. If you don't, that 20 points is spread across the other five categories so your score reflects what actually matters for your site.

Crawl & Bot Access

Weight: 20 pts

1 issue

Structured Data

Weight: 25 pts

1 issue

Commerce Readiness

Weight: 20 pts

2 issues

Content Machine-Readability

Weight: 15 pts

1 issue

Policy & Trust

Weight: 10 pts

1 issue

Entity Signals

Weight: 10 pts

1 issue

Highest-impact fixes

  1. 1.
    No Product schema on product pages+13 ptsCritical

    Add the missing JSON-LD structured data.

  2. 2.
    No llms.txt file+7 ptsMedium

    Publish an llms.txt file at your site root.

  3. 3.
    Prices are shown visually but not in structured data+5 ptsHigh

    Add the missing JSON-LD structured data.

Fix these three and your score moves from 67 to ~92. (estimate — re-audit to confirm)

Findings (7)

Critical 1

CriticalStructured Data+13 pts

No Product schema on product pages

Product pages have no schema.org Product or Offer markup, so agents can't reliably read name, price or availability.

High 2

HighCommerce Readiness+5 pts

Prices are shown visually but not in structured data

Prices appear only as rendered text. Agents comparing products may skip or misquote them.

HighCommerce Readiness+5 pts

Availability not machine-readable

There's no availability field, so agents can't tell if an item can be bought now.

Medium 3

MediumCrawl & Bot Access+7 pts Extra weight

No llms.txt file

There's no curated map of key pages for AI agents at /llms.txt (an emerging convention, not a ratified standard).

MediumContent Machine-Readability+2 pts

Homepage has no meta description

Agents have no concise page summary to help interpret the store's purpose.

MediumPolicy & Trust+1 pts

No machine-readable return policy

Agents acting for a shopper look for return terms before recommending a purchase.

Low 1

LowEntity Signals+1 pts

Organization schema missing logo

Organization markup exists but has no logo, which weakens brand recognition.

Generated fixes (preview)

Ready-to-use files built from the findings. REPLACE_WITH_… marks anything we didn't observe.

Product + Offer schema

Paste inside <head> on each product page and replace every REPLACE_WITH_… value with that product's real data.

schema.jsonld

New · 18 lines added

Added: <!-- Product: paste inside <head> on each product page. -->
Added: <script type="application/ld+json">
Added: {
Added: "@context": "https://schema.org",
Added: "@type": "Product",
Added: "name": "REPLACE_WITH_PRODUCT_NAME",
Added: "sku": "REPLACE_WITH_SKU",
Added: "image": "REPLACE_WITH_ABSOLUTE_IMAGE_URL",
Added: "brand": { "@type": "Brand", "name": "REPLACE_WITH_BRAND" },
Added: "offers": {
Added: "@type": "Offer",
Added: "url": "https://trailhead-outfitters.example/REPLACE_WITH_PRODUCT_PATH",
Added: "price": "REPLACE_WITH_PRICE",
Added: "priceCurrency": "REPLACE_WITH_CURRENCY",
Added: "availability": "https://schema.org/InStock"
Added: }
Added: }
Added: </script>
  1. Paste the <script type="application/ld+json"> block inside the <head> of the matching page.
  2. Replace any REPLACE_WITH_… placeholders first, then check it with a structured-data testing tool.

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