Growth audit
Bread Beauty Supply
breadbeautysupply.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
- 81/100
- Tracking hygiene
- 65/100
- Landing page
- 89/100
- AI visibility
- Not measured
The headline
127 of your 291 listings are still in your sitemap and public product feed, so an assistant asked for a recommendation has a 44% chance of naming one that cannot be bought.
What is costing you right now
- 5 of 18 product listings (28%) 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.
- 15 products have an empty product_type. Feed taxonomy falls back to guesswork downstream, which can lead to misclassification in shopping platforms.
- No consent management detected. This could lead to compliance issues with privacy regulations, affecting user trust and legal standing.
Fix this week
- Remove or update the 5 dead listings to prevent assistants from recommending unavailable products.
- Add product types to the 15 products currently missing them to improve feed accuracy and classification.
How AI assistants see you
Your catalogue was not readable, so these were generic "skincare" 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
This could not be measured on this run. Assistants checked were chatgpt, claude, and gemini, while perplexity was not available. The limitation was on our side, not due to your site setup.
What we could not check
- Live Ads: 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.
- Visual pass: 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.
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Every check, in full
- 81/100
AI Readiness
Dex
5 of 12 schema types present, llms.txt present
- No BreadcrumbList on https://breadbeautysupply.com/products/cereal-set, so agents cannot place the product in your site hierarchy.
Paste-ready fixes (7)
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>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> - 65/100
Tracking & Pixels
Dex
0 of 3 pixels visible in page source, 5 issues
This check reads static HTML only. 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 consent management detected
- No tracking pixels detected on page
Catalogue
Parker
18 products, 22 variants, 30 collections
Listed price range 12 to 38, median 17 (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_no_decimals}}), which is the currency an agent will quote to a shopper.
- 15 products have an empty product_type. Feed taxonomy falls back to guesswork downstream.
- 1 products carry no tags, so collection and filter logic cannot reach them.
- 5 of 18 product listings (28%) 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.
- 89/100
Landing Page
Dex
1 h1, 1 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.
- 2 of 32 images have no alt text.
- 30 external scripts. Each one is a blocking third-party dependency on first paint.
- Not measured
Live Ads
Maya
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 measuredYour catalogue was not readable, so these were generic "skincare" 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 is the best vitamin C serum?”
- “Best moisturizer for dry skin”
- “Which retinol brand do you recommend for beginners?”
- “Best affordable skincare brands”
No product catalogue was readable for this store, so these questions are generic "skincare" category questions rather than questions about your actual products. Treat the result as directional only.
Also recommended: SkinCeuticals C E Ferulic, CeraVe Resurfacing Retinol Serum, Good, Contains, Includes, Shopping Tip
- Your catalogue was not readable, so these were generic "skincare" 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
This report contains no revenue forecast, no spend recommendation and no dollar projection.
6 of 7 checks completed in 14.4s, served from a cached run.