Everlane

What we measured

Four separate checks. There is no single overall score, because these measure different things and averaging them would hide which one needs work.

Every check, in full

• AI Readiness

  Dex

  65/100

  5 of 12 schema types present, llms.txt present

  • Product schema on https://everlane.com/products/mens-renew-backpack-estate-blue is incomplete: Missing fields: offers.
  • No BreadcrumbList on https://everlane.com/products/mens-renew-backpack-estate-blue, so agents cannot place the product in your site hierarchy.
  Paste-ready fixes (8)

  BreadcrumbList schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
      { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://yoursite.com" },
      { "@type": "ListItem", "position": 2, "name": "Products", "item": "https://yoursite.com/products" }
    ]
  }
  </script>

  FAQPage schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "FAQPage",
    "mainEntity": [
      {
        "@type": "Question",
        "name": "Your question here?",
        "acceptedAnswer": { "@type": "Answer", "text": "Your answer here." }
      }
    ]
  }
  </script>

  Review schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Review",
    "reviewRating": { "@type": "Rating", "ratingValue": "5", "bestRating": "5" },
    "author": { "@type": "Person", "name": "Customer Name" },
    "reviewBody": "Review text here"
  }
  </script>

  AggregateRating schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Product",
    "name": "Product Name",
    "aggregateRating": {
      "@type": "AggregateRating",
      "ratingValue": "4.5",
      "reviewCount": "127"
    }
  }
  </script>

  LocalBusiness schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "LocalBusiness",
    "name": "Your Business",
    "address": { "@type": "PostalAddress", "streetAddress": "123 Main St", "addressLocality": "City", "addressRegion": "State", "postalCode": "12345" },
    "telephone": "+1-555-555-5555"
  }
  </script>

  HowTo schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "HowTo",
    "name": "How to do something",
    "step": [
      { "@type": "HowToStep", "name": "Step 1", "text": "Do this first" },
      { "@type": "HowToStep", "name": "Step 2", "text": "Then do this" }
    ]
  }
  </script>

  Article schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Article",
    "headline": "Article Title",
    "author": { "@type": "Person", "name": "Author Name" },
    "datePublished": "2024-01-01",
    "image": "https://yoursite.com/article-image.jpg"
  }
  </script>

  Missing meta tagsCopy

  <meta property="og:image" content="https://yoursite.com/og-image.jpg" />

• Tracking & Pixels

  Dex

  62/100

  0 of 3 pixels visible in page source, 6 issues

  This check reads static HTML only. A GTM container is present (gtm-suite). Server-side tagging signals are present (Shopify Web Pixels (sandboxed); Elevar / Stape server-side). Any pixel not listed as detected may still be firing through one of those, so we have not scored it as missing.

  • Meta Pixel not visible in static HTML
  • Google Ads / GA4 not visible in static HTML
  • TikTok Pixel not visible in static HTML
  • GTM noscript fallback missing
  • No consent management detected
  • No tracking pixels detected on page

• Catalogue

  Parker

  1000 products, 8173 variants, 291 collections

  Listed price range 27 to 475, median 155 (store currency)

  • Prices are published in USD (${{amount}}), which is the currency an agent will quote to a shopper.
  • We read 1000 of the 8685 products your store publishes, so the catalogue findings below cover that subset rather than everything you sell.
  • 44 products have an empty product_type. Feed taxonomy falls back to guesswork downstream.
  • 85 of 1000 product listings (9%) cannot be bought in any size or variant, yet they are still published and crawlable. An assistant that recommends one sends the shopper to a dead end.
  • 264 variants have no SKU, which blocks feed-level reconciliation.

• Landing Page

  Dex

  83/100

  1 h1, 4 calls to action, 1 trust signals

  Our screenshot service was rate limited by the CDN in front of this site, so the visual pass did not run. This is a limit on our vendor's shared addresses, not a setting on your store, and it often clears on a later run. Every HTML-level finding below is unaffected.

  • 20 of 44 images have no alt text.
  • 33 external scripts. Each one is a blocking third-party dependency on first paint.

• Live Ads

  Maya

  Not measured

  Our connection to the Meta Ad Library did not return usable data on this run, so we could not read live ads. This is a gap in our measurement, not a finding about your advertising.

• AI Visibility

  Maya

  32/100
  Measured

  Checked chatgpt and claude and gemini across 12 answers. Not checked: perplexity.

  • perplexity: not reached on this run
  The 4 questions we asked

  • “What are the best cotton shirts?”
  • “Best shirts for everyday wear”
  • “Which brands make lightweight shirts?”
  • “Best shirts for training”

  These questions were built from your own catalogue: product types, product titles, tags and your median price. None of them name your brand, so a mention means an assistant surfaced you unprompted.

  Also recommended: Uniqlo, Great, Investment, Excellent, J.Crew, Exceptional

  • Everlane appeared in 3 of 12 answers (25%) across 3 assistants.
  • Best placement was position 2 in a ranked list.
  • Also named: Uniqlo, Great, Investment, Excellent, J.Crew.
  • perplexity could not be queried on this run, so it is excluded from the measurement rather than counted as a miss.

• Agent Access

  Dex