Agents can find, read and buy from this store.
Grade A, agent-ready. 0 failing checks, 1 warning, 22 passed.
- 01 Access 95/100
Can an agent reach your pages at all? 7 pass · 1 warn · 0 fail · 30% weight
- 02 Understanding 100/100
Can it read what you sell without running JavaScript? 7 pass · 0 warn · 0 fail · 30% weight
- 03 Trust 100/100
Can it verify who you are and what the terms are? 4 pass · 0 warn · 0 fail · 20% weight
- 04 Transaction 95/100
Can it start a purchase through a protocol? 4 pass · 0 warn · 0 fail · 20% weight
Fix these first
- 1 Fast first byte
Cache full HTML pages so they are served without hitting the application.
Warn Access
01 / Access
Can an agent reach your pages at all?
95/100
Warn Fast first byte Slowest time to first byte: 690 ms. Aim for under 600 ms.
Why agents care
User-triggered agents fetch pages while someone waits for an answer, with short timeouts. A slow server is a skipped store.
What we found
- /
- 182 ms
- /products/alpine-merino-hoodie
- 690 ms
Fix
Cache full HTML pages so they are served without hitting the application.
- Shopify serves HTML from its CDN. Slow TTFB usually means heavy Liquid loops or apps injecting server-side content: audit apps.
Pass AI search and shopping agents are allowed Every AI search and user-triggered agent may fetch the homepage and the product page.
Why agents care
Search agents (OAI-SearchBot, Claude-SearchBot, PerplexityBot, Googlebot, Bingbot) build the indexes assistants search before recommending a product. User-triggered agents (ChatGPT-User, Claude-User, Perplexity-User) fetch your page while a shopper waits. Blocking either removes you from the answer.
What we found
- OAI-SearchBot (OpenAI)
- Allowed
- ChatGPT-User (OpenAI)
- Allowed
- Claude-SearchBot (Anthropic)
- Allowed
- Claude-User (Anthropic)
- Allowed
- PerplexityBot (Perplexity)
- Allowed
- Perplexity-User (Perplexity)
- Allowed
- Googlebot (Google)
- Allowed
- Bingbot (Microsoft)
- Allowed
- Amzn-SearchBot (Amazon)
- Allowed
Pass Homepage answers an agent HTTP 200.
Why agents care
Every agent starts with an HTTP request. Anything other than a fast 200 with HTML ends the visit before it begins.
What we found
- Status
- 200
- Final URL
- https://kestrelpine.example/
- Redirects
- 0
- Content-Type
- text/html; charset=utf-8
Pass No bot wall in front of the store Bots and browsers receive the same page.
Why agents care
Bot-protection that challenges every non-browser client blocks AI agents even when robots.txt welcomes them. Agents cannot solve JavaScript challenges or CAPTCHAs.
What we found
- As LegibleBot
- HTTP 200
- As a browser
- HTTP 200
- Size difference
- 0 KB
Pass XML sitemap lists your products Valid sitemap with 8 product URLs.
Why agents care
Crawlers that build AI search indexes discover product URLs from sitemaps far more reliably than from links, especially on large catalogues.
What we found
- Location
- https://kestrelpine.example/sitemap.xml
- Found via
- robots.txt
- Type
- Sitemap index (4 child sitemaps)
- Product sitemap
- https://kestrelpine.example/sitemap_products_1.xml?from=1&to=99 (8 URLs)
Pass Pages are not marked noindex No noindex directives on the pages scanned.
Why agents care
A noindex meta tag or X-Robots-Tag header tells search agents to drop the page from their index, even when robots.txt allows crawling.
What we found
- Homepage
- no directive
- Product page
- no directive
Pass robots.txt is valid robots.txt parses cleanly: 3 groups, 1 sitemap.
Why agents care
RFC 9309 says a robots.txt that errors with 5xx means "crawl nothing", and an HTML page served as robots.txt is noise. A clean file also points agents at your sitemap.
What we found
- Groups
- 3
- Sitemap lines
- 1
- Unrecognised lines
- none
Pass Lean HTML 6 KB of HTML for /products/alpine-merino-hoodie.
Why agents care
Agents download and tokenise your HTML. Megabytes of inline scripts and styles bury product facts and can hit size caps before the content.
What we found
- HTML size
- 6 KB
- Inline script
- 0 KB in 2 tags
- Visible words
- 147
Info Training crawler policy 5 training crawlers blocked, 3 allowed.
Why agents care
Training crawlers (GPTBot, ClaudeBot, Google-Extended, CCBot and others) collect content for future models. Blocking them is a legitimate business choice and does not affect AI search visibility. Legible reports your stance but does not score it.
What we found
- GPTBot (OpenAI)
- Blocked
- ClaudeBot (Anthropic)
- Blocked
- Google-Extended (Google)
- Blocked
- Applebot-Extended (Apple)
- Allowed
- Amazonbot (Amazon)
- Allowed
- meta-externalagent (Meta)
- Allowed
- CCBot (Common Crawl)
- Blocked
- Bytespider (ByteDance)
- Blocked
02 / Understanding
Can it read what you sell without running JavaScript?
100/100
Pass Product facts are in the raw HTML Name, price and 147 words of content are in the server HTML.
Why agents care
Most AI fetchers do not run JavaScript. If the name, price and description only appear after scripts run, the agent sees an empty page and moves on.
What we found
- Visible words (no JS)
- 147
- Product name in text
- Yes
- Price in text
- 129.00
Pass Complete Product structured data Product schema is 100% complete.
Why agents care
Schema.org Product and Offer JSON-LD is the most reliable way for agents and shopping indexes to read price, currency, stock, identifiers, shipping and returns without guessing from layout.
What we found
- name
- Alpine Merino Hoodie
- image
- https://kestrelpine.example/cdn/shop/files/alpine-merino-hoodie-moss.jpg
- description
- A 260 g/m² merino wool hoodie with a scuba hood, flatlock seams and thumb loops.
- offers.price
- 129
- offers.priceCurrency
- EUR
- offers.availability
- https://schema.org/InStock
- sku
- KP-AMH-MOSS-M
- gtin / mpn
- 3856012345678
- brand
- Kestrel & Pine
- shippingDetails
- present
- hasMerchantReturnPolicy
- present
- aggregateRating
- present
Pass Organization and WebSite schema Organization and WebSite schema identify the store as "Kestrel & Pine".
Why agents care
Organization and WebSite markup tells an agent the store's official name, logo, URL and social profiles, so it can tell your shop apart from resellers and lookalikes.
What we found
- Organization
- Kestrel & Pine
- WebSite
- Kestrel & Pine
- logo
- present
- sameAs
- present
Pass OpenGraph product preview Complete OpenGraph (og:type product).
Why agents care
Chat interfaces render link previews and many agents fall back to OpenGraph when JSON-LD is missing. og:title, og:image and og:type are the minimum.
What we found
- og:title
- Alpine Merino Hoodie
- og:description
- 260 g/m² merino hoodie with scuba hood and thumb loops.
- og:image
- https://kestrelpine.example/cdn/shop/files/alpine-merino-hoodie-moss.jpg
- og:url
- https://kestrelpine.example/products/alpine-merino-hoodie
- og:type
- product
Pass Canonical URL and language Canonical set, language en.
Why agents care
A canonical URL collapses filter and tracking variants into one product, and a lang attribute tells the agent which language and market the price and policies apply to.
What we found
- canonical
- https://kestrelpine.example/products/alpine-merino-hoodie
- html lang
- en
Pass One clear H1 with the product name H1 "Alpine Merino Hoodie" with 3 H2 sections.
Why agents care
Extractors use the heading outline to split a page into sections. One H1 naming the product, then H2s for details and reviews, makes the page easy to chunk.
What we found
- H1
- Alpine Merino Hoodie
- H2
- 3
Pass llms.txt guide for agents Valid llms.txt with 3 sections and 7 links.
Why agents care
llms.txt is a proposed markdown index of a site's most useful pages. No major assistant has confirmed it uses the file, so it carries little weight here, but it is cheap and gives agents a clean map of products and policies.
What we found
- Title
- Kestrel & Pine
- Summary blockquote
- present
- Sections
- Products, Policies, Optional
- Links
- 7
- llms-full.txt
- not found
03 / Trust
Can it verify who you are and what the terms are?
100/100
Pass Policy pages are linked Shipping, returns, privacy, terms and contact pages are all linked.
Why agents care
Before recommending a purchase, assistants look for shipping costs, the return window and who to contact. In the EU, consumers have a 14-day right of withdrawal for most online purchases (Directive 2011/83/EU, Art. 9), so returns terms are a deciding fact.
What we found
- Shipping
- https://kestrelpine.example/policies/shipping-policy
- Returns
- https://kestrelpine.example/policies/refund-policy
- Privacy
- https://kestrelpine.example/policies/privacy-policy
- Terms
- https://kestrelpine.example/policies/terms-of-service
- Contact
- https://kestrelpine.example/pages/contact
Pass Visible price matches structured data The visible price and JSON-LD agree on EUR 129.00.
Why agents care
When the price a shopper sees differs from the price in JSON-LD, agents quote the wrong number or distrust both. Google Merchant Center suspends listings for mismatches, and under EU consumer law the price shown must be the price charged.
What we found
- JSON-LD price
- EUR 129.00
- Current prices on page
- 129.00
- Microdata price
- none
Pass HTTPS everywhere, with HSTS HTTPS with HSTS, and HTTP redirects to HTTPS.
Why agents care
Agents that hand a shopper off to checkout will not send them to an insecure page. HSTS proves the store never falls back to plain HTTP.
What we found
- Final URL scheme
- https
- http:// redirects to https
- yes (301)
- Strict-Transport-Security
- max-age=31536000; includeSubDomains
Pass Business identity is machine-readable Legal identity, address and contact details are all machine-readable.
Why agents care
Agents weigh whether a merchant is real. A legal name, postal address and a contact point in Organization schema are the strongest signals short of a marketplace listing.
What we found
- address
- present
- email / telephone / contactPoint
- present
- legalName / vatID
- present
04 / Transaction
Can it start a purchase through a protocol?
95/100
Pass UCP business profile Valid UCP profile (2026-08-25) with checkout. 1 suggestion.
Why agents care
The Universal Commerce Protocol (UCP), announced by Google in January 2026, lets agents discover a store's capabilities from /.well-known/ucp and complete checkout through a standard API. It powers buying in Google AI Mode and Gemini. Current spec version: 2026-08-25.
What we found
- ucp.version
- 2026-08-25
- Services
- dev.ucp.shopping
- Transports
- rest, mcp
- Capabilities
- Checkout, Cart, Fulfillment (extension), Orders
- Payment handlers
- declared
- Signing keys
- none
- $.keys
- No signing keys published. Recommended so agents can verify signed responses.
Pass Machine-readable catalogue 2 catalogue signals detected.
Why agents care
Agent channels (ChatGPT shopping, Google AI Mode, Copilot) prefer a structured product feed they can refresh over crawling pages. A feed keeps price and stock current between crawls.
What we found
- Signal
- Shopify catalogue (syncable to agent channels through Agentic Storefronts)
- Signal
- Product sitemap (8 URLs)
Pass Add-to-cart works without scripts The product page has a server-rendered add-to-cart form or link.
Why agents care
Browser-driving agents (ChatGPT agent, Gemini in Chrome and similar) click through your real checkout. A plain form or link for add-to-cart in the server HTML is the most robust path when no protocol is available.
What we found
- Cart form in HTML
- yes
- Add-to-cart link
- no
- Add-to-cart button
- yes
Pass Agentic Commerce Protocol readiness (signal) All ACP prerequisites are in place. Enrolment itself happens with OpenAI and cannot be detected from outside.
Why agents care
OpenAI and Stripe's Agentic Commerce Protocol (ACP) launched in September 2025 to let shoppers buy inside ChatGPT. There is no public discovery file: merchants are onboarded through OpenAI and submit a product feed. In March 2026 OpenAI moved checkout back to merchants' own sites, so discovery in ChatGPT now depends on that feed and on crawlable pages. Legible scores the prerequisites, not enrolment.
What we found
- OAI-SearchBot allowed
- yes
- Product structured data
- yes
- Feed source available
- yes
Info Platform and remediation path Detected Shopify (high confidence).
Why agents care
What you can fix, and how fast, depends on the platform. Shopify merchants can switch most of this on; WooCommerce, Magento and custom stores need it built or configured.
What we found
- Signal
- cdn.shopify.com assets
- Signal
- Shopify global object
- Signal
- x-shopid / powered-by Shopify header
Fix
Fix order for Shopify:
- Edit robots.txt.liquid in Online Store → Themes → Edit code → Templates (add the template if it does not exist).
- Most Online Store 2.0 themes print Product JSON-LD from the product template. Check that barcode (GTIN), vendor (brand) and shipping/return policies are set in Shopify admin.
- Enable Agentic Storefronts in Shopify admin. Shopify publishes and maintains the UCP profile for you.
Agent's-eye view
This is what an AI agent gets from https://kestrelpine.example/products/alpine-merino-hoodie when it fetches the page without running JavaScript: the raw HTML on the left, the text it extracts on the right.
Raw HTML · what the server sent
6 KB<header class="header">
<a href="https://kestrelpine.example/" class="header__heading-link">
<img src="https://kestrelpine.example/cdn/shop/files/kestrel-pine-logo.svg" alt="Kestrel & Pine">
</a>
<nav class="header__inline-menu" aria-label="Main">
<ul class="list-menu">
<li>
<a href="https://kestrelpine.example/collections/jackets">Jackets</a>
</li>
<li>
<a href="https://kestrelpine.example/collections/midlayers">Midlayers</a>
</li>
<li>
<a href="https://kestrelpine.example/collections/packs">Packs</a>
</li>
<li>
<a href="https://kestrelpine.example/pages/repairs">Repairs</a>
</li>
<li>
<a href="https://kestrelpine.example/blogs/field-notes">Field notes</a>
</li>
</ul>
</nav>
</header>
<main id="MainContent" class="content-for-layout" role="main">
<section class="product">
<div class="product__media">
<img src="https://kestrelpine.example/cdn/shop/files/alpine-merino-hoodie-moss.jpg" alt="Alpine Merino Hoodie in moss green, front view">
</div>
<div class="product__info-container">
<p class="product__text caption">Kestrel & Pine</p>
<h1>Alpine Merino Hoodie</h1>
<div class="price">
<span class="price-item price-item--regular">€129,00</span>
<small>incl. VAT</small>
</div>
<p class="product__rating">4.8 out of 5 from 312 reviews</p>
<form method="post" action="/cart/add" id="product-form" accept-charset="UTF-8" class="form" enctype="multipart/form-data">
<input type="hidden" name="id" value="4410">
<fieldset>
<legend>Size</legend>
<label>
<input type="radio" name="Size" value="S">S</label>
<label>
<input type="radio" name="Size" value="M" checked>M</label>
<label>
<input type="radio" name="Size" value="L">L</label>
</fieldset>
<button type="submit" name="add" class="product-form__submit button">Add to cart</button>
</form>
<p class="stock">In stock. Ships from Zagreb within 1 business day.</p>
<div class="product__description rte">
<p>Our warmest midlayer, cut long in the back for climbing and cycling. 260 g/m² merino jersey regulates temperature from 5°C mornings to 20°C afternoons and stays fresh for days.</p>
<ul>
<li>100% ZQ-certified merino wool, 260 g/m²</li>
<li>Scuba hood that fits under a helmet</li>
<li>Flatlock seams, thumb loops, kangaroo pocket</li>
<li>EAN 3856012345678</li>
</ul>
</div>
<h2>Shipping and returns</h2>
<p>Free delivery to Croatia, Slovenia, Austria and Germany in 1–4 business days. Free returns within 30 days, twice the 14 days EU law requires.</p>
<h2>Care</h2>
<p>Machine wash cold on the wool cycle. Dry flat. We repair holes, seams and cuffs for free, forever.</p>
</div>
</section>
</main>
<footer class="foote
<!-- … 1 KB more -->Agent's-eye view · extracted markdown
~199 tokensFacts an agent looks for
8 of 8 found
| Fact | What the agent gets | Source |
|---|---|---|
| Product name | Alpine Merino Hoodie | HTML + JSON-LD |
| Price | EUR 129.00 | HTML + JSON-LD |
| Availability | InStock | HTML + JSON-LD |
| Brand | Kestrel & Pine | JSON-LD |
| GTIN / EAN | 3856012345678 | JSON-LD |
| Shipping | Declared in JSON-LD | HTML + JSON-LD |
| Returns | Declared in JSON-LD | HTML + JSON-LD |
| Rating | Declared in JSON-LD | HTML + JSON-LD |
Extracted from https://kestrelpine.example/products/alpine-merino-hoodie without running JavaScript, the way most AI fetchers read a page.
Requests made
Every request Legible made, as LegibleBot/1.0 unless noted. Capped at 15 per scan, 8 seconds and 2.5 MB each.
| Status | URL | Purpose | Time | Size |
|---|---|---|---|---|
| 200 | https://kestrelpine.example/ | Homepage (as LegibleBot) | 202 ms | 5.2 KB |
| 200 | https://kestrelpine.example/ | Homepage (as a browser, for bot-wall comparison) | 202 ms | 5.2 KB |
| 200 | https://kestrelpine.example/robots.txt | robots.txt | 84 ms | 0.7 KB |
| 301 | http://kestrelpine.example/ | HTTP to HTTPS redirect probe | 50 ms | 0.0 KB |
| 200 | https://kestrelpine.example/llms.txt | llms.txt | 90 ms | 1.0 KB |
| 404 | https://kestrelpine.example/llms-full.txt | llms-full.txt | 130 ms | 0.1 KB |
| 200 | https://kestrelpine.example/.well-known/ucp | UCP business profile | 108 ms | 2.2 KB |
| 200 | https://kestrelpine.example/sitemap.xml | XML sitemap | 140 ms | 0.4 KB |
| 200 | https://kestrelpine.example/sitemap_products_1.xml?from=1&to=99 | Product sitemap | 160 ms | 1.3 KB |
| 200 | https://kestrelpine.example/products/alpine-merino-hoodie | Product page (as LegibleBot) | 710 ms | 6.4 KB |
Done for you
Want these fixed instead of listed?
Digital Age implements Legible's fixes on Shopify: robots and bot rules, complete product schema, policy pages, llms.txt and a UCP profile. Fixed scope, re-scanned before handover.