Jackhenry

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

  62/100

  2 of 12 schema types present, llms.txt present

  • No Product schema — AI agents cannot parse your product data
  • No BreadcrumbList — AI agents can't understand your site hierarchy
  Paste-ready fixes (10)

  Product schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Product",
    "name": "Your Product Name",
    "description": "Product description here",
    "image": "https://yoursite.com/product-image.jpg",
    "brand": { "@type": "Brand", "name": "Your Brand" },
    "offers": {
      "@type": "Offer",
      "price": "29.99",
      "priceCurrency": "USD",
      "availability": "https://schema.org/InStock",
      "url": "https://yoursite.com/product"
    }
  }
  </script>

  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>

  Offer schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Offer",
    "price": "29.99",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "itemCondition": "https://schema.org/NewCondition"
  }
  </script>

  Brand schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Brand",
    "name": "Your Brand Name",
    "logo": "https://yoursite.com/brand-logo.png"
  }
  </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

  91/100

  2 of 3 pixels visible in page source, 2 issues

  This check reads static HTML only. Server-side tagging signals are present (first-party GTM loader path; Segment / CDP loader; Shopify Web Pixels (sandboxed)). 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
  • No consent management detected

• Catalogue

  Parker

  46 products, 80 variants, 26 collections

  Listed price range 5 to 320, median 48 (store currency)

  • 2 products have a description under 100 characters. That is below what agent product matching needs to disambiguate a SKU.
  • 35 products have an empty product_type. Feed taxonomy falls back to guesswork downstream.
  • 17 products carry no tags, so collection and filter logic cannot reach them.
  • 2 variants are titled as retired SKUs ("Old SKU" and similar) but are still in your public catalogue feed, where agents and comparison engines will read them.
  • 7 variants have no SKU, which blocks feed-level reconciliation.

• Landing Page

  Dex

  93/100

  5 h1, 3 calls to action, 3 trust signals

  The screenshot service could not load this page (the site refuses automated browsers). HTML-level findings below are unaffected.

  • 5 <h1> elements. Multiple top-level headings dilute what the page is about.
  • 4 of 220 images have no alt text.

• Live Ads

  Maya

  Not measured

  The Meta Ad Library API did not return a usable response (token scope, rate limit, or upstream error).

• AI Visibility

  Maya

  Partial coverage

  Only chatgpt answered (4 of 16 probes), below our threshold of 2 assistants and 4 answers, so we are not reporting a visibility score. Not reached: claude, perplexity, gemini.

  We only report a visibility score when at least 2 assistants and 4 answers come back. This run did not reach that, so the gap is in our measurement, not a finding about your brand.

  • claude: 400 {"type":"error","error":{"type":"invalid_request_error","message":"Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits."},"request_id":"req_011CdYcga7mrxAFrGnugazub"}
  • perplexity: HTTP 401
  • gemini: HTTP 429
  The 4 questions we asked

  • “What are the best vegan hair styling products?”
  • “What are the best colognes?”
  • “Who makes the best face moisturizers?”
  • “Best hair styling products under $60”

  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: Aveda - Control Paste, Verb - Ghost Oil, Creed Aventus, Dior Sauvage, Tom Ford Oud Wood, Bleu de Chanel

  • Only chatgpt answered (4 of 16 probes), below our threshold of 2 assistants and 4 answers, so we are not reporting a visibility score. Not reached: claude, perplexity, gemini.
  • claude could not be queried (400 {"type":"error","error":{"type":"invalid_request_error","message":"Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits."},"request_id":"req_011CdYcga7mrxAFrGnugazub"}), so it is excluded from the measurement rather than counted as a miss.
  • perplexity could not be queried (HTTP 401), so it is excluded from the measurement rather than counted as a miss.
  • gemini could not be queried (HTTP 429), so it is excluded from the measurement rather than counted as a miss.
  • Your site never states who your products are for. We found no audience declaration in your title, meta description, og:description or structured data. Assistants cannot match you to demographic queries like "best face moisturizer for men", which are among the most common shopping questions in personal care and apparel.
  • Nothing in your catalogue or page copy states what your products are FOR (training, everyday wear, travel, dry skin). Use-case queries are how most shopping questions are phrased, and you are not described in terms of any.