Growth audit
Floyd
floydhome.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
- 62/100
- Tracking hygiene
- 65/100
- Landing page
- 87/100
- AI visibility
- 0/100
The headline
Floyd's product visibility to AI assistants is currently at 0/100: none of the checked assistants (chatgpt, claude, gemini) named Floyd in their responses when asked about bedding sets, which could limit exposure to potential customers using these platforms.
What is costing you right now
- 7 of 168 product listings (4%) are unbuyable in every variant yet remain in your sitemap and public product feed. This means an assistant recommending one of these products sends a shopper to a dead end.
- 16 of 168 products lack images. AI shopping agents and Google Shopping both drop imageless items, reducing your visibility in search results.
- Your Product schema on key product pages lacks an offers block, meaning price and availability are not machine-readable. An agent asked what a product costs has to guess it from page text.
Fix this week
- Update the Product schema on your product pages to include an offers block with price and availability in JSON-LD format. This will help AI agents accurately read and present your product information.
- Remove or update the 7 dead listings to ensure all products in your sitemap and feed are purchasable, preventing customer frustration and improving AI recommendations.
How AI assistants see you
Checked chatgpt and claude and gemini across 6 answers. Not checked: perplexity.
- perplexity: not reached on this run
AI assistants chatgpt, claude, and gemini did not mention Floyd in any of the 6 answers when asked about bedding sets. Instead, they recommended competitors like Parachute Percale Sheet Set and Casper Cool Supima Set.
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
- 62/100
AI Readiness
Dex
3 of 12 schema types present, llms.txt present
- Product schema on https://floydhome.com/products/the-gere-easy-chair is incomplete: Found as microdata, but JSON-LD is preferred for AI agents.
- Your Product schema on https://floydhome.com/products/the-gere-easy-chair carries no offers block, so price and availability are not machine readable.
- No BreadcrumbList on https://floydhome.com/products/the-gere-easy-chair, so agents cannot place the product in your site hierarchy.
- schema logo returns HTTP 404, so it will not render
Paste-ready fixes (9)
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> - 65/100
Tracking & Pixels
Dex
0 of 3 pixels visible in page source, 5 issues
This check reads static HTML only. A GTM container is present (GTM-TJCCH44, gtm-suite). A consent platform is present (OneTrust). Server-side tagging signals are present (Shopify Web Pixels (sandboxed); Elevar / Stape server-side). 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
168 products, 2600 variants, 196 collections
Listed price range 5 to 22500, median 1840 (store currency)
- Your store publishes that it ships to 2 countries (CA, US). Assistants read this list directly, so a shopper outside it will be routed to a competitor rather than shown your products.
- Prices are published in USD (${{amount}}), which is the currency an agent will quote to a shopper.
- 16 of 168 products have no image. AI shopping agents and Google Shopping both drop imageless items.
- 66 of 168 products (39%) have a description under 100 characters, against a catalogue median of 208. That is below what agent product matching needs to tell one of your SKUs from another.
- 34 products have an empty product_type. Feed taxonomy falls back to guesswork downstream.
- 2 products carry no tags, so collection and filter logic cannot reach them.
- 87/100
Landing Page
Dex
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.
- 3 of 28 images have no alt text.
- 36 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.
- 0/100
AI Visibility
Maya
MeasuredChecked 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 bedding sets?”
- “Best bedding sets under $225”
These questions came from your catalogue but it carried few descriptive signals, so they are broader than ideal.
Also recommended: Parachute Percale Sheet Set, Casper Cool Supima Set, Crisp, Gets, Great, Temperature-regulating
- Floyd was not named in any of the 6 answers from 3 assistants. We asked "What are the best bedding sets?", "Best bedding sets under $225".
- The assistants named these instead: Parachute Percale Sheet Set, Casper Cool Supima Set, Crisp, Gets, Great.
- 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 17.0s, served from a cached run.