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Growth audit

Bearaby

bearaby.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
95/100
Tracking hygiene
62/100
Landing page
83/100
AI visibility
0/100

The headline

Bearaby has 33 out of 79 product listings that cannot be purchased in any size or variant, which means an AI assistant recommending one of these products would lead a shopper to a dead end.

What is costing you right now

  • 33 of your 79 product listings are unbuyable in every variant, yet they remain published and crawlable. An assistant that recommends one sends the shopper to a dead end.
  • 18 of 79 products have no image. AI shopping agents and Google Shopping both drop imageless items, which can lead to reduced visibility and sales.
  • Bearaby was not named in any of the 6 answers from chatgpt, claude, and gemini when asked about bamboo water bottles and sustainable brands. Competitors like Hydro Flask and Klean Kanteen were recommended instead, which means potential customers may not discover your brand through AI assistants.

Fix this week

  • Remove or update the 33 dead listings to ensure that all products recommended by AI assistants are available for purchase.
  • Add images to the 18 products currently lacking them to improve visibility in AI shopping agents and Google Shopping.

Fix this quarter

  • Enhance your product descriptions and titles to better align with AI shopping queries and improve your brand's visibility in AI assistant recommendations.

How AI assistants see you

Measured

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

  • perplexity: not reached on this run

Bearaby was not mentioned by chatgpt, claude, and gemini in any of the 6 answers when asked about bamboo water bottles and sustainable brands. Instead, competitors like Hydro Flask, Klean Kanteen, and S'well were recommended. This indicates a lack of visibility for Bearaby in AI-generated shopping recommendations.

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

    95/100

    7 of 12 schema types present, llms.txt present

    • AggregateRating schema is incomplete: Missing fields: reviewCount
    Paste-ready fixes (5)
    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>
    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

    62/100

    0 of 3 pixels visible in page source, 6 issues

    This check reads static HTML only. A GTM container is present (GTM-TFDCD4G). 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
    • GTM noscript fallback missing
    • No consent management detected
    • No tracking pixels detected on page
  • Catalogue

    Parker

    79 products, 906 variants, 25 collections

    Listed price range 0.99 to 4000, median 249 (store currency)

    • 18 of 79 products have no image. AI shopping agents and Google Shopping both drop imageless items.
    • 21 of 79 products (27%) have a description under 100 characters, against a catalogue median of 122. That is below what agent product matching needs to tell one of your SKUs from another.
    • 21 products have an empty product_type. Feed taxonomy falls back to guesswork downstream.
    • 21 products carry no tags, so collection and filter logic cannot reach them.
    • 33 of 79 product listings (42%) 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.
    • 183 variants have no SKU, which blocks feed-level reconciliation.
  • Landing Page

    Dex

    83/100

    2 h1, 2 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 <h1> elements. Multiple top-level headings dilute what the page is about.
    • 5 of 106 images have no alt text.
    • 33 external scripts. Each one is a blocking third-party dependency on first paint.
    • The HTML document alone is 1230kb before any assets load.
  • 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 6 answers. Not checked: perplexity.

    • perplexity: not reached on this run
    The 2 questions we asked
    • What are the best bamboo water bottles?
    • Which brands make sustainable water bottles?

    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: Hydro Flask, Klean Kanteen, S'well, Bambaw Bamboo Water Bottle, Tree Tribe Bamboo Bottle, Bamboo Bottle Company

    • Bearaby was not named in any of the 6 answers from 3 assistants. We asked "What are the best bamboo water bottles?", "Which brands make sustainable water bottles?".
    • The assistants named these instead: Hydro Flask, Klean Kanteen, S'well, Bambaw Bamboo Water Bottle, Tree Tribe Bamboo Bottle.
    • 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 14.3s, served from a cached run.

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