Faherty

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

  88/100

  6 of 12 schema types present, llms.txt present

  Paste-ready fixes (6)

  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>

• Tracking & Pixels

  Dex

  65/100

  0 of 3 pixels visible in page source, 5 issues

  This check reads static HTML only. A GTM container is present (GTM-NHPVGDT, gtm-suite). A consent platform is present (an unnamed platform). Server-side tagging signals are present (Shopify Web Pixels (sandboxed); Elevar / Stape server-side; consent-gated deferred loader). 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
  • Multiple GTM containers detected
  • No tracking pixels detected on page

• Catalogue

  Parker

  1000 products, 7026 variants, 662 collections

  Listed price range 14 to 1000, median 118 (store currency)

  • We read 1000 of the 2171 products your store publishes, so the catalogue findings below cover that subset rather than everything you sell.
  • 73 of 1000 product listings (7%) 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.
  • 11 variants have no SKU, which blocks feed-level reconciliation.

• Landing Page

  Dex

  88/100

  1 h1, 1 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.

  • 38 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

  0/100
  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 linen shirts?”
  • “Best shirts for lounging at home”
  • “Which brands make organic 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: Shopping Tip, Uniqlo, Everlane, Pact, Pro tip, Price

  • Faherty was not named in any of the 12 answers from 3 assistants. We asked "What are the best linen shirts?", "Best shirts for lounging at home", "Which brands make organic shirts?", "Best shirts for training".
  • The assistants named these instead: Shopping Tip, Uniqlo, Everlane, Pact, Pro tip.
  • perplexity could not be queried on this run, so it is excluded from the measurement rather than counted as a miss.

• Agent Access

  Dex