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Growth audit

Function of Beauty

functionofbeauty.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
40/100
Tracking hygiene
65/100
Landing page
82/100
AI visibility
0/100

The headline

Function of Beauty's AI visibility score is 0/100, as none of the checked assistants (chatgpt, claude, gemini) mentioned the brand when asked about shampoos. This limits the brand's exposure in AI-driven recommendations.

What is costing you right now

  • Function of Beauty was not named in any of the 12 answers from chatgpt, claude, and gemini. This means potential customers relying on AI assistants for product recommendations are not being directed to your products, reducing brand visibility and potential sales.
  • No Product schema on your product pages means an agent has to guess your product details from page text rather than read them. This can lead to inaccuracies in how your products are presented by AI assistants.
  • 14 products have an empty product_type, which means feed taxonomy falls back to guesswork downstream. This can lead to misclassification of products in AI and shopping platforms, affecting discoverability.

Fix this week

  • Implement Product schema on your product pages to ensure AI agents can accurately read and present your product details.
  • Update the product_type field for the 14 products currently without one to improve classification and discoverability in AI and shopping platforms.

How AI assistants see you

Measured

Checked chatgpt and claude and gemini across 12 answers. Not checked: perplexity.

  • perplexity: not reached on this run

Function of Beauty was not mentioned by chatgpt, claude, or gemini in any of the 12 questions asked about shampoos. Competitors like Moroccanoil Moisture Repair Shampoo were recommended instead.

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

    40/100

    1 of 12 schema types present, llms.txt present

    • No Product schema on https://functionofbeauty.com/products/coily-hair-gentle-shampoo, so an agent has to guess your product details from page text rather than read them.
    • No BreadcrumbList on https://functionofbeauty.com/products/coily-hair-gentle-shampoo, so agents cannot place the product in your site hierarchy.
    • Organization schema is incomplete: Found as microdata, but JSON-LD is preferred for AI agents
    Paste-ready fixes (11)
    Product schema
    <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>
    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>
    FAQPage schema
    <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 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>
    AggregateRating schema
    <script type="application/ld+json">
    {
      "@context": "https://schema.org",
      "@type": "Product",
      "name": "Product Name",
      "aggregateRating": {
        "@type": "AggregateRating",
        "ratingValue": "4.5",
        "reviewCount": "127"
      }
    }
    </script>
    Offer schema
    <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 schema
    <script type="application/ld+json">
    {
      "@context": "https://schema.org",
      "@type": "Brand",
      "name": "Your Brand Name",
      "logo": "https://yoursite.com/brand-logo.png"
    }
    </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

    65/100

    0 of 3 pixels visible in page source, 5 issues

    This check reads static HTML only. A GTM container is present (GTM-5VDHCDS4, gtm-track). A consent platform is present (Osano). 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
    • Multiple GTM containers detected
    • No tracking pixels detected on page
  • Catalogue

    Parker

    39 products, 199 variants, 34 collections

    Listed price range 9 to 195.3, median 64.99 (store currency)

    • Prices are published in USD (${{amount}}), which is the currency an agent will quote to a shopper.
    • 14 products have an empty product_type. Feed taxonomy falls back to guesswork downstream.
    • 3 products carry no tags, so collection and filter logic cannot reach them.
    • 1 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.
  • Landing Page

    Dex

    82/100

    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.
    • 1 of 15 images have no alt text.
    • 28 external scripts. Each one is a blocking third-party dependency on first paint.
    • The HTML document alone is 887kb 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 12 answers. Not checked: perplexity.

    • perplexity: not reached on this run
    The 4 questions we asked
    • What are the best shampoos?
    • Best shampoos for thin hair
    • Best shampoos for thick hair
    • Best shampoos under $25

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

    Also recommended: Sulfate-free, Contains, Adds, Great, Moroccanoil Moisture Repair Shampoo, Works

    • Function of Beauty was not named in any of the 12 answers from 3 assistants. We asked "What are the best shampoos?", "Best shampoos for thin hair", "Best shampoos for thick hair", "Best shampoos under $25".
    • The assistants named these instead: Sulfate-free, Contains, Adds, Great, Moroccanoil Moisture Repair Shampoo.
    • 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://functionofbeauty.com/products/coily-hair-gentle-shampoo, title, availability, product_schema are 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.
Download PDFPermanent link

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

6 of 7 checks completed in 16.2s, served from a cached run.

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