Banza

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

  49/100

  1 of 12 schema types present, llms.txt present

  • Product schema on https://eatbanza.com/products/roasted-veggie is incomplete: Found as microdata, but JSON-LD is preferred for AI agents.
  • Your Product schema on https://eatbanza.com/products/roasted-veggie carries no offers block, so price and availability are not machine readable.
  • No Organization schema on your homepage, so agents have no machine-readable statement of who you are.
  • No BreadcrumbList on https://eatbanza.com/products/roasted-veggie, so agents cannot place the product in your site hierarchy.
  Paste-ready fixes (11)

  Organization schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "Organization",
    "name": "Your Company Name",
    "url": "https://yoursite.com",
    "logo": "https://yoursite.com/logo.png",
    "sameAs": ["https://twitter.com/yourhandle", "https://linkedin.com/company/yourcompany"]
  }
  </script>

  WebSite schemaCopy

  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "WebSite",
    "name": "Your Site Name",
    "url": "https://yoursite.com",
    "potentialAction": {
      "@type": "SearchAction",
      "target": "https://yoursite.com/search?q={search_term_string}",
      "query-input": "required name=search_term_string"
    }
  }
  </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

  94/100

  2 of 3 pixels visible in page source, 2 issues

  This check reads static HTML only. A GTM container is present (GTM-MJ2SVWF6). A consent platform is present (an unnamed platform). Server-side tagging signals are present (first-party GTM loader path; Shopify Web Pixels (sandboxed); 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
  • GTM noscript fallback missing

• Catalogue

  Parker

  60 products, 60 variants, 29 collections

  Listed price range 11.99 to 59.99, median 35.99 (store currency)

  • Your store publishes that it ships to US only. An AI assistant answering a shopping question for a buyer anywhere else cannot route them to you, and it does not have to guess this: the restriction is in your storefront metadata where any agent can read it.
  • Prices are published in USD (${{amount}}), which is the currency an agent will quote to a shopper.
  • 10 products have an empty product_type. Feed taxonomy falls back to guesswork downstream.
  • 4 products carry no tags, so collection and filter logic cannot reach them.
  • Every product has exactly one variant. If you sell sizes or shades, they are not modelled as variants, which breaks agent size/shade queries.
  • 29 of 60 product listings (48%) 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.

• Landing Page

  Dex

  84/100

  0 h1, 2 calls to action, 2 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.

  • No <h1> on the page. Both crawlers and AI agents use it as the page's primary claim.

• 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

  Not measured

  Your catalogue was not readable, so these were generic "food" questions rather than questions about your products. We are not reporting a visibility score from them: an assistant not naming you in a generic category answer says nothing about your brand.

  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.

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

  • “What are the best coffee subscription brands?”
  • “Best healthy snack brands”
  • “Which hot sauce brands do you recommend?”
  • “Best olive oil brands”

  No product catalogue was readable for this store, so these questions are generic "food" category questions rather than questions about your actual products. Treat the result as directional only.

  Also recommended: RXBAR, Larabar, Blue Diamond Almonds, Sahale Snacks, Bare Snacks, Cholula

  • Your catalogue was not readable, so these were generic "food" questions rather than questions about your products. We are not reporting a visibility score from them: an assistant not naming you in a generic category answer says nothing about your brand.
  • perplexity could not be queried on this run, so it is excluded from the measurement rather than counted as a miss.

• Agent Access

  Dex

  • On https://eatbanza.com/products/roasted-veggie, product_schema is not present in the page's HTML before any JavaScript runs. Most AI crawlers do not execute JavaScript, so an assistant reading this page does not get that detail.