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Growth audit

Chomps

chomps.com

Run 2 August 2026, today

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.

Agent readability
92/100
Tracking hygiene
71/100
Landing page
88/100
AI visibility
19/100

The headline

33 of your 149 product listings cannot be bought in any size or variant, yet they are still published and crawlable. This means an AI assistant that recommends one sends the shopper to a dead end.

What is costing you right now

  • 33 of your 149 product listings (22%) 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.
  • 102 of your 149 products (68%) are missing a product description. This lack of detail affects how well AI shopping agents can match your products to specific shopper queries.
  • Chomps appeared in only 1 of 6 answers (17%) across 3 AI assistants checked (chatgpt, claude, gemini). Competitors like Kind Bars and Blue Diamond Almonds were recommended instead, reducing your visibility in AI-driven shopping queries.

Fix this week

  • Remove or update the 33 dead listings to ensure that all published products are available for purchase. This will prevent AI assistants from directing potential customers to unavailable products.
  • Add detailed product descriptions to the 102 products currently missing them. This will improve AI agents' ability to match your products to shopper queries.

How AI assistants see you

Measured

Checked chatgpt and claude and gemini across 6 answers. Not checked: perplexity.

  • perplexity: not reached on this run

Chomps was mentioned in only 1 out of 6 answers across the AI assistants checked (chatgpt, claude, gemini). Competitors such as Kind Bars and Blue Diamond Almonds were recommended more frequently. This indicates a need to improve your product descriptions and metadata to enhance visibility in AI-driven shopping queries.

What we could not check

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.

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Every check, in full

  • AI Readiness

    Dex

    92/100

    6 of 12 schema types present, llms.txt present

    • No BreadcrumbList on https://chomps.com/products/smoky-bbq-beef-chomplings, so agents cannot place the product in your site hierarchy.
    Paste-ready fixes (6)
    WebSite schema
    <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 schema
    <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>
    Review schema
    <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>
    LocalBusiness schema
    <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 schema
    <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 schema
    <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

    71/100

    0 of 3 pixels visible in page source, 4 issues

    This check reads static HTML only. A GTM container is present (GTM-N7D94ZL). A consent platform is present (OneTrust). Server-side tagging signals are present (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
    • Google Ads / GA4 not visible in static HTML
    • TikTok Pixel not visible in static HTML
    • No tracking pixels detected on page
  • Catalogue

    Parker

    149 products, 334 variants, 29 collections

    Listed price range 5 to 200, median 50 (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.
    • 2 of 149 products have no image. AI shopping agents and Google Shopping both drop imageless items.
    • 110 of 149 products (74%) have a description under 100 characters, against a catalogue median of 0. That is below what agent product matching needs to tell one of your SKUs from another.
    • 95 products have an empty product_type. Feed taxonomy falls back to guesswork downstream.
    • 33 of 149 product listings (22%) 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

    88/100

    1 h1, 3 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.

    • 2 of 166 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

    19/100
    Measured

    Checked chatgpt and claude and gemini across 6 answers. Not checked: perplexity.

    • perplexity: not reached on this run
    The 2 questions we asked
    • What are the best snacks?
    • Best snacks under $30

    These questions came from your catalogue but it carried few descriptive signals, so they are broader than ideal.

    Also recommended: Kind Bars, Blue Diamond Almonds, Savory Snacks, 1. SkinnyPop Popcorn, Sweet Snacks, 4. KIND Bars

    • Chomps appeared in 1 of 6 answers (17%) across 3 assistants.
    • Best placement was position 5 in a ranked list.
    • Also named: Kind Bars, Blue Diamond Almonds, Savory Snacks, 1. SkinnyPop Popcorn, Sweet Snacks.
    • perplexity could not be queried on this run, so it is excluded from the measurement rather than counted as a miss.
  • Agent Access

    Dex

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This report contains no revenue forecast, no spend recommendation and no dollar projection.

6 of 7 checks completed in 18.5s, served from a cached run.

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