A real report, anonymized.
Overview
Solid content. Your first fix needs attention.
None of your 2,192 products are ready for shopping channels and AI assistants yet. Start with package 01: Improve your technical documents (1,990 of 2,192 products).
Based on 2,192 products we read from your store on October 11, 2026. Listings on the channels themselves weren't checked.
CatalogIQ Index?
55 / 100
Held at 55 by the readiness rule
None of your 2192 products are ready for shopping channels and AI assistants as they are, so this score is held at 55 until more are. Your content quality is 78.
Ready for shopping channels and AI assistants: 0 of 2,192 products
Products at least one channel would take as they are
Content quality: 78 of 100
A separate content measure
Shopper experience 69AI and feed data 91
Your fix plan?
- 1Improve your technical documents
Fixed means every product links at least 3 documents a tradesperson needs — spec sheet, installation guide, and safety data where one exists.
What to change:
- Upload and link a specification sheet for every product, starting with “Condenser fan venturi ring”, which currently has none.
- Upload and link an installation guide or manual for every product that has one, such as “Shallow-well pump jet assembly”.
- Upload and link a safety data sheet or safety warnings where one exists.
- Upload CAD files, 3D models, or dimensional drawings where they exist.
Check Observed Target Insufficient documentation links 1990 of 2192 products fall short (affected products average: 0.3 document link(s)) At least 3 distinct document links per product Missing installation guide 1691 of 2192 products fall short An installation guide or manual linked from the product page Missing specification sheet 1182 of 2192 products fall short A specification sheet linked from the product page Missing safety data 40 of 2192 products fall short A safety data sheet or safety warnings linked from the product page Missing CAD or 3D files 162 of 2192 products fall short CAD files, 3D models, or dimensional drawings linked from the product page For example: Eight-light bathroom vanity fixture — 1 document link(s)
How to verify:
- Open three product pages and follow each document link; each should open the right file.
Hand-off spec: requirements, products, developer tasks, how to check
Requirements?
Check Now Target Insufficient documentation links 1990 of 2192 products fall short (affected products average: 0.3 document link(s)) At least 3 distinct document links per product Missing installation guide 1691 of 2192 products fall short An installation guide or manual linked from the product page Missing specification sheet 1182 of 2192 products fall short A specification sheet linked from the product page Missing safety data 40 of 2192 products fall short A safety data sheet or safety warnings linked from the product page Missing CAD or 3D files 162 of 2192 products fall short CAD files, 3D models, or dimensional drawings linked from the product page Start with these products — 1,990 on its widest check
- Eight-light bathroom vanity fixture
- Shallow-well pump jet assembly
- Condenser fan venturi ring
For your developer
- Make document links appear as plain links in the page HTML, not only inside a script-driven tab, and label each link with the document type (for example, “Installation guide (PDF)”).
Done when
- Every product that has a spec sheet, guide, or safety data sheet links it from its page.
How to check it's fixed
- Open three product pages and follow each document link; each should open the right file.
- 2Improve your shopping-channel readiness
Fixed means every product in your feed carries a barcode or brand-and-SKU and a stated condition, so shopping channels and AI assistants can read them.
What to change:
- Add the barcode (GTIN, UPC, or EAN) for every product that has one, starting with “Condenser fan venturi ring”.
- For own-brand products with no barcode, make sure each has a brand and a unique SKU entered.
Check Observed Target No GTIN in feed (MPN+brand substitute may apply) Missing on 2192 of 2192 products Every product with a barcode publishes it; one without (own brand, made to order) gives its brand and SKU, and the feed says it has no identifier Missing product condition Missing on 2192 of 2192 products Every product page publishes: Condition (new or used) For example: Condenser fan venturi ring
How to verify:
- In Google Merchant Center, open the product diagnostics and check that no products are disapproved for missing identifiers, price, or availability.
Hand-off spec: requirements, products, developer tasks, how to check
Requirements?
Check Now Target No GTIN in feed (MPN+brand substitute may apply) Missing on 2192 of 2192 products Every product with a barcode publishes it; one without (own brand, made to order) gives its brand and SKU, and the feed says it has no identifier Missing product condition Missing on 2192 of 2192 products Every product page publishes: Condition (new or used) Start with these products — 2,192 on its widest check
- Condenser fan venturi ring
- Two-stage gas furnace parts list
- Outdoor unit condenser coil
For your developer
- Map the store's product data to the feed fields: id, title, description, link, image_link, price, availability, brand, gtin, and mpn.
- Publish the same identifiers (gtin) in the product markup so the feed and the page agree.
- Publish itemCondition on the offers of the product and every variant (NewCondition, UsedCondition, or RefurbishedCondition, as applies), so the page states what the feed sends.
Done when
- Every product in the feed has title, description, link, image, price, stock status, and brand.
- Products with a barcode send it in the feed; products without one send brand and a part number or SKU.
- The price and stock status in the feed match the product page.
How to check it's fixed
- In Google Merchant Center, open the product diagnostics and check that no products are disapproved for missing identifiers, price, or availability.
- 3Improve your AI shopping essentials
Fixed means every product publishes the 9 core facts AI shopping assistants check for, including brand, on every product page.
What to change:
- Fill in the brand field for every product, starting with “PVC double wye drain fitting”.
- Check products missing a brand also have a product identifier (barcode, or brand and part number) filled in.
Already covered by step 2: No GTIN (MPN+brand substitute may apply).
Check Observed Target Missing brand for AI commerce Missing on 39 of 2192 products Every product page publishes: Brand Incomplete core AI commerce attributes 39 of 2192 products fall short (affected products average: 77.8% of the core facts AI shopping assistants look for) All 9 core facts AI shopping assistants look for, present on every product No GTIN (MPN+brand substitute may apply) Missing on 2192 of 2192 products Every product with a barcode publishes it; one without (own brand, made to order) gives its brand and SKU, and the feed says it has no identifier For example: PVC double wye drain fitting
How to verify:
- Paste three product page addresses into Google's Rich Results Test (search.google.com/test/rich-results); each Product item should list the price, currency, stock status, and brand.
Hand-off spec: requirements, products, developer tasks, how to check
Requirements?
Check Now Target Missing brand for AI commerce Missing on 39 of 2192 products Every product page publishes: Brand Incomplete core AI commerce attributes 39 of 2192 products fall short (affected products average: 77.8% of the core facts AI shopping assistants look for) All 9 core facts AI shopping assistants look for, present on every product No GTIN (MPN+brand substitute may apply) Missing on 2192 of 2192 products Every product with a barcode publishes it; one without (own brand, made to order) gives its brand and SKU, and the feed says it has no identifier Start with these products — 2,192 on its widest check
- PVC double wye drain fitting
- CPVC pipe transition bushing
- Large fabricated PVC drain wye
For your developer
- Make sure the product markup of every product page carries image and brand, on each variant too, while keeping every property it already publishes.
Done when
- Each product page publishes price, currency, stock status, brand, an image, and an identifier in its product markup.
How to check it's fixed
- Paste three product page addresses into Google's Rich Results Test (search.google.com/test/rich-results); each Product item should list the price, currency, stock status, and brand.
- 4Improve your AI readability
Fixed means every product description explains what the product is for or how it's used, and states concrete facts, not only marketing copy.
What to change:
- Add a short “what it's for and how to use it” passage and an FAQ to each product description, starting with “Condenser fan venturi ring”.
- Rewrite descriptions to state concrete facts — sizes, materials, capacities, what's included — for products like “Two-stage gas furnace parts list”.
Check Observed Target No use case content 1356 of 2192 products fall short Copy that says what job or equipment the product is for, or how it's installed or used (a "replaces or fits" statement counts; a bare name or a spec list doesn't) Low fact density in descriptions 100 of 2192 products fall short (affected products average: 1.5 numbers per 100 words of description) Descriptions that state concrete facts (sizes, materials, specs), not only marketing copy For example: Three-ton rooftop unit parts list
How to verify:
- Re-read three product descriptions: each should state at least a few concrete facts.
Hand-off spec: requirements, products, developer tasks, how to check
Requirements?
Check Now Target No use case content 1356 of 2192 products fall short Copy that says what job or equipment the product is for, or how it's installed or used (a "replaces or fits" statement counts; a bare name or a spec list doesn't) Low fact density in descriptions 100 of 2192 products fall short (affected products average: 1.5 numbers per 100 words of description) Descriptions that state concrete facts (sizes, materials, specs), not only marketing copy Start with these products — 1,356 on its widest check
- Three-ton rooftop unit parts list
- Spring-return damper actuator
- Five-ton heat pump parts list
Done when
- Each description states concrete facts about the product.
How to check it's fixed
- Re-read three product descriptions: each should state at least a few concrete facts.
- 5Improve your product images
Fixed means every product shows at least 3 sharp, full-size images, each with descriptive alt text.
What to change:
- Add at least 3 high-resolution images to every product, starting with those that have fewer than 2.
- Make the first image on each product a clean, clear main image.
- Replace any thumbnail-only images with full-size versions.
Check Observed Target Too few product images 985 of 2192 products fall short (affected products average: 1.6 image(s)) At least 3 images per product Low image resolution 174 of 2192 products fall short Full-size product images, not thumbnails For example: Outdoor unit condenser coil
Hand-off spec: requirements, products, developer tasks, how to check
Requirements?
Check Now Target Too few product images 985 of 2192 products fall short (affected products average: 1.6 image(s)) At least 3 images per product Low image resolution 174 of 2192 products fall short Full-size product images, not thumbnails Start with these products — 985 on its widest check
- Outdoor unit condenser coil
- Crimping die for aluminum cable
- Air handler air-stop baffle
For your developer
- Make sure the theme outputs each image's alt text in the img tag.
- Publish each image in the product markup's image property.
Done when
- Every product has at least the number of images in this step's requirements.
- 6Improve your search findability
Fixed means every product title names the product, not only a part number, so shoppers and search tools can find it.
What to change:
- Rewrite titles that are only a code or part number, such as “Cond.Coil Cu/Al, EX40032”, to include brand, product type, and the key specification.
- Do the same for “Flame Cell, EX-FC2207” and “Panel,Gas Sect, EX48T50”.
Check Observed Target Product title is a part number, not descriptive 29 of 2192 products fall short A title that names the product, not only a model number or SKU For example: Cond.Coil Cu/Al, EX40032
How to verify:
- Search your own store for a product the way a customer would (by what it is, not its code); it should come up.
Hand-off spec: requirements, products, developer tasks, how to check
Requirements?
Check Now Target Product title is a part number, not descriptive 29 of 2192 products fall short A title that names the product, not only a model number or SKU Start with these products — 29 affected in total
- Cond.Coil Cu/Al, EX40032
- Flame Cell, EX-FC2207
- Panel,Gas Sect, EX48T50
Done when
- No title is only a code or part number.
How to check it's fixed
- Search your own store for a product the way a customer would (by what it is, not its code); it should come up.
- 7Improve your product markup
Every product page publishes complete product information that search engines and AI shopping assistants can read.
What to change:
- Collect customer reviews with a reviews tool that publishes star ratings on the product page.
Check Observed Target Missing aggregate rating in structured data Missing on 43 of 2192 products Every product page publishes: Star rating Low rich snippet readiness 231 of 2192 products fall short (affected products average: 50% of the richer-listing elements published (rating, offer, review, breadcrumb)) Rating, offer, review, and breadcrumb markup present (the parts Google uses for richer search results) For example: Four-ton gas packaged unit parts list
How to verify:
- Paste three product page addresses (include one with size or color options) into Google's Rich Results Test (search.google.com/test/rich-results); each should show a valid Product item with no errors.
- Open a product page, view the page source, and search for "application/ld+json"; the product's details should appear inside it.
Hand-off spec: requirements, products, developer tasks, how to check
Requirements?
Check Now Target Missing aggregate rating in structured data Missing on 43 of 2192 products Every product page publishes: Star rating Low rich snippet readiness 231 of 2192 products fall short (affected products average: 50% of the richer-listing elements published (rating, offer, review, breadcrumb)) Rating, offer, review, and breadcrumb markup present (the parts Google uses for richer search results) Start with these products — 231 on its widest check
- Four-ton gas packaged unit parts list
- Single-stage gas furnace parts list
- Downflow gas furnace parts list
For your developer
- Make sure every product page carries one Product (or ProductGroup, for products with options) JSON-LD script in the page HTML, rendered by the server rather than added later by JavaScript. Extend the one the page already has rather than adding a second.
- Output aggregateRating (ratingValue and reviewCount) from the reviews data, only on products that actually have reviews.
- Publish the star rating and the reviews inside the product markup (aggregateRating and review, from the reviews data), only on products that actually have reviews.
Code example (html)Structure for a product with options. Merge it into the product markup the page already publishes rather than replacing it: replace each {placeholder} with the value from your product data, and leave out any line whose value is empty.
<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "ProductGroup", "name": "{product title}", "productGroupID": "{product id}", "brand": { "@type": "Brand", "name": "{brand}" }, "hasVariant": [ { "@type": "Product", "name": "{product title} - {option name}", "sku": "{your SKU}", "mpn": "{manufacturer part number}", "gtin": "{barcode}", "offers": { "@type": "Offer", "price": "{price}", "priceCurrency": "{currency code}", "availability": "https://schema.org/{InStock or OutOfStock — the real stock status}" } } ] } </script>Done when
- Every product page carries exactly one Product or ProductGroup entry in its page source.
- Products with reviews publish their star rating and review count.
- No field holds a placeholder such as "N/A" or an empty value.
How to check it's fixed
- Paste three product page addresses (include one with size or color options) into Google's Rich Results Test (search.google.com/test/rich-results); each should show a valid Product item with no errors.
- Open a product page, view the page source, and search for "application/ld+json"; the product's details should appear inside it.
- 8Improve your product descriptions
Product descriptions are complete and free of errors.
What to change:
- Fix spelling and grammar, and remove sentences repeated within a description.
- Lead with what the product is and what it's for, then the key details.
Check Observed Target Spelling errors in descriptions 1 of 2192 products fall short (affected products average: 96.7% of words spelled correctly) At least 98% of words spelled correctly For example: Single-gang cast iron device box
How to verify:
- Re-read three product descriptions: no spelling or grammar mistakes and no sentence said twice.
Hand-off spec: requirements, products, developer tasks, how to check
Requirements?
Check Now Target Spelling errors in descriptions 1 of 2192 products fall short (affected products average: 96.7% of words spelled correctly) At least 98% of words spelled correctly Start with these products — 1 affected in total
- Single-gang cast iron device box
Done when
- Descriptions in this step's list meet the targets in its requirements.
How to check it's fixed
- Re-read three product descriptions: no spelling or grammar mistakes and no sentence said twice.
- 9Improve your return-risk protection
Every product carries the details, images, and description shoppers need to buy the right thing the first time.
What to change:
- Make sure every product has a full description stating what it is and what's included.
Already covered by step 5: Insufficient images increases return risk.
Check Observed Target Thin descriptions increase return risk 1724 of 2192 products fall short (affected products average: 33.7 words of description) A description of at least 100 words Insufficient images increases return risk 985 of 2192 products fall short (affected products average: 1.6 image(s)) At least 3 images per product For example: Condenser fan venturi ring — 25 words of description
How to verify:
- Open three of the example products and ask: could a shopper tell the size, material, and what's included without contacting you?
Hand-off spec: requirements, products, developer tasks, how to check
Requirements?
Check Now Target Thin descriptions increase return risk 1724 of 2192 products fall short (affected products average: 33.7 words of description) A description of at least 100 words Insufficient images increases return risk 985 of 2192 products fall short (affected products average: 1.6 image(s)) At least 3 images per product Start with these products — 1,724 on its widest check
- Air handler air-stop baffle
- Condenser fan venturi ring
- Two-stage gas furnace parts list
Done when
- Every product has its key details, several images, and a full description.
How to check it's fixed
- Open three of the example products and ask: could a shopper tell the size, material, and what's included without contacting you?
What this means for your store
Your CatalogIQ Index is 55. None of your 2,192 products are ready for shopping channels and AI assistants as they are — not for Google Shopping, Google Merchant Center, Amazon, Walmart Marketplace, ChatGPT, or Perplexity. This is what is holding your score down: your content quality is 78, well above the overall score, but readiness for these channels is at 0%.
Your biggest problem is missing technical documents. 91% of your products fall short of having enough document links, with an average of only 0.3 links where at least 3 are expected. For example, “Eight-light bathroom vanity fixture” has just 1 document link. Other issues add to the cost: 2% of products are missing the brand in your product data, like “PVC double wye drain fitting”, and 1% have titles that are only a part number, such as “Cond.Coil Cu/Al, EX40032”, instead of naming the product.
Start with step 1: improve your technical documents, which fixes the documentation gap affecting 91% of your products.
Your scorecard?
- Technical documents31/100Most products have no documents.
Can buyers get the spec sheets and guides they need?
AreaShopper experience
Whether products link to real documents: spec or data sheets, installation guides, safety data sheets, and CAD drawings.
For shoppers91% of products fall short of having 3 or more document links, 77% are missing an installation guide, and 54% are missing a spec sheet, so shoppers can't find what they need.
For AI shopping agentsAI assistants read specs and compatibility from these documents. With most products missing guides or spec sheets, they can't answer buyer questions.
- Return-risk protection45/100Many listings leave out details shoppers need. Return risk is high.
Do your listings give shoppers enough to buy the right thing?
AreaShopper experience
How well your listings answer the questions that prevent returns: enough details, sizing and dimensions, photos, and description. A higher score means a lower return risk.
For shoppers79% of products have descriptions under 100 words, so shoppers often guess at size or materials, which raises the chance of a wrong order.
For AI shopping agentsAI assistants recommend products they can describe with confidence. Thin descriptions on 79% of products make them less likely to be recommended.
- Product details45/100Key details are missing from most products' product data.We don't list fixes for this check yet. It's being improved to read every detail your pages show.
Does each product's data name its key details?
AreaProduct data
Whether each product's data names the details expected for its category, such as dimensions, material, voltage, or connection type, as details shopping channels and AI assistants can read, with real values instead of blanks or placeholders.
For shoppersKey details are missing from most products' product data, even though the pages may show them, so filtered searches on shopping channels can miss these products.
For AI shopping agentsAI assistants answer spec questions from the product data. When a detail isn't there, they can't recommend the product for that question.
- Search findability55/100Some products miss common search terms.
Can shoppers find your products with the words they search for?
AreaShopper experience
Whether titles and descriptions use the words buyers search for, whether titles describe the product instead of just a part number, and whether part numbers and cross-references (compatible or replacement parts) are listed.
For shoppers1% of products have a title that's only a part number, not a description, making them harder for shoppers to find by searching what the part does.
For AI shopping agentsAI assistants match shopper questions to your wording. Titles that are only part numbers give them less to match on.
- Product descriptions55/100Some descriptions have spelling, grammar, or repetition problems.
Are your descriptions complete and free of errors?
AreaShopper experience
How complete and correct your product descriptions are: length, spelling, grammar, and repeated text.
For shoppersUnder 1% of products (1 product) have spelling errors, which can make shoppers trust the listing less.
For AI shopping agentsAI assistants quote your descriptions directly, so any spelling errors carry into their answers.
- Shopping-channel readiness84/100Most products would be rejected or limited by shopping channels.This score gives credit for each required field a product has, but a channel takes a product only when it has them all. As they are, none of your products are ready for Google Shopping.
Do your products meet what Google Shopping and marketplaces require?
AreaGoogle & AI readiness
Whether each product has the fields shopping channels require: a product ID (a barcode number, manufacturer part number, or SKU), price, currency, stock status, and condition.
For shoppersAll products are missing a barcode in the feed, which can limit how they're shown on Google Shopping and similar channels.
For AI shopping agentsShopping channels and AI assistants rank down products missing required fields like barcodes, affecting all 2,192 products here.
- AI readability88/100Some facts are buried in paragraphs or missing.
Can an AI assistant pull clear facts from your pages?
AreaGoogle & AI readiness
Whether your pages state facts plainly (specs in a list or table instead of buried in paragraphs, FAQs, uses, and a clearly named brand and model) and show them without waiting for scripts to load.
For shoppers62% of products don't say what job or equipment they're for, and 5% lack concrete facts like sizes or materials, leaving shoppers without answers.
For AI shopping agentsAI assistants pull facts from descriptions. With 62% missing use-case content, they recommend products they can describe instead.
- Product images93/100Some products are short on images, image quality, or alt text.
Do shoppers get enough good photos?
AreaShopper experience
Whether each product has images, how many, whether they are sharp enough, and whether they have alt text (a short written description of the image).
For shoppersSome products are short on images, image quality, or alt text, which can cost shoppers confidence and lead to more returns.
For AI shopping agentsGoogle Shopping and AI assistants need a working image and alt text to show and understand a product.
- AI shopping essentials94/100Some products are missing basics AI assistants need.
Do AI shopping assistants get the basics for every product?
AreaGoogle & AI readiness
The core facts AI shopping assistants need for every product: brand, price with currency, stock status, a product ID (such as a barcode number), a working image, and the page link.
For shoppers2% of products are missing a brand and 2% are missing one of the 9 core AI commerce facts, which are what shoppers first see in an AI answer.
For AI shopping agentsAll products are missing a barcode, and 2% are missing brand or core facts, so AI assistants can't recommend them with confidence.
- Product markup97/100Most product pages carry complete markup.
Can Google and AI assistants read your product pages?
AreaGoogle & AI readiness
Hidden code on each product page that tells Google and AI assistants the product's name, price, stock, IDs, and ratings in a standard format.
For shoppers2% of products are missing a star rating in their markup, so they miss out on richer search listings with ratings.
For AI shopping agentsGoogle Shopping and AI assistants read this markup to get product facts. Missing star ratings on 2% of products mean they have to guess.
- Product categories98/100Products are filed in clear, specific categories.
Is each product filed in the right, specific category?
AreaProduct data
Whether each product sits in a recognizable, specific category (for example "Ball valves" rather than just "Plumbing") and whether its breadcrumb trail agrees.
For shoppersProducts are filed in clear, specific categories, making it easy for shoppers to browse and find similar items.
For AI shopping agentsGoogle and AI assistants use these categories to decide which searches a product can appear in.
- Data accuracy99/100Product information agrees across the page.
Does your product information agree with itself?
AreaProduct data
Whether a product's title, details, price, and product markup agree. For example, a title that says "Large" while the size detail says "Small", or two different prices on one page.
For shoppersProduct information agrees across the page, so shoppers aren't misled into wrong orders.
For AI shopping agentsConsistent information means Google and AI assistants don't have to guess or drop the product due to disagreement.
- Consistent product details100/100Details are written consistently.
Are details written the same way across products?
AreaProduct data
Whether the same kind of detail is written the same way everywhere: units ("10 in" vs "10 inches"), detail names ("Colour" vs "Color"), and standard values.
For shoppersDetails are written consistently, so shoppers can compare products side by side without confusion.
For AI shopping agentsConsistent values let AI assistants match products accurately instead of treating variations as different items.
Agent-reachability gap0%of the content shoppers see is hidden from AI agents and marketplace feeds (such as login-gated prices or specs only in images). Lower is better.
Channel checks on the pages we read?
Checked on the pages we read. Listings on the channels themselves weren't checked.
No products pass these checks yet.
- Google Shopping0 / 2,192 (0%)
- ChatGPT0 / 2,192 (0%)
- Perplexity0 / 2,192 (0%)
- Google Merchant Center0 / 2,192 (0%)
- Amazon0 / 2,192 (0%)
- Walmart Marketplace0 / 2,192 (0%)
How each channel is checked
- Google Shopping reads your product pages’ markup.
- ChatGPT needs every AI shopping essential, barcode included.
- Perplexity needs every AI shopping essential, barcode included.
- Google Merchant Center checks the fields its product feed requires.
- Amazon checks its listing requirements.
- Walmart Marketplace checks its listing requirements.
What's holding you back?
1% of your products have titles that don't describe the product, including “Cond.Coil Cu/Al, EX40032” and “Flame Cell, EX-FC2207”. These titles show a model number instead of naming what the product is.
Product details
Cond.Coil Cu/Al, EX40032
Product details
Flame Cell, EX-FC2207
Product details
Panel,Gas Sect, EX48T50
TargetA title that names the product, not only a model number or SKU
Why it matters to youShoppers and AI assistants read the title first to judge whether a product matches a search. A title that's only a part number gives them nothing to match on, which hurts most in replacement-parts and boiler-parts categories.
How we checkedSome product titles are too short, too long, or leave out the words that describe the product: its type, brand, and key details.
2% of your products are missing a brand in the product information your pages publish for search engines, including “PVC double wye drain fitting” and “CPVC pipe transition bushing”.
Why this may look wrongShoppers may see your logo on the page, but Google and AI assistants read the brand from this hidden product information, not from the page design.
| Field / check | Observed |
|---|---|
| Brand | Not published |
Product details
PVC double wye drain fitting
| Field / check | Observed |
|---|---|
| Brand | Not published |
Product details
CPVC pipe transition bushing
| Field / check | Observed |
|---|---|
| Brand | Not published |
Product details
Large fabricated PVC drain wye
Copy-paste fix for PVC double wye drain fitting?
{
"mpn": "EX-4076-528",
"sku": "EX-4076-528",
"url": "https://www.example.com/products/pvc-double-wye-drain-fitting",
"name": "PVC double wye drain fitting",
"@type": "Product",
"image": "https://www.example.com/images/product.jpg",
"offers": {
"@type": "Offer",
"price": "129.00",
"seller": {
"name": "Example Plumbing & HVAC Distributor",
"@type": "Organization"
},
"availability": "https://schema.org/OutOfStock",
"priceCurrency": "USD"
},
"@context": "http://schema.org",
"description": "PVC double wye drain fitting. Specifications and installation notes from the product data."
}{
"mpn": "EX-4076-528",
"sku": "EX-4076-528",
"url": "https://www.example.com/products/pvc-double-wye-drain-fitting",
"name": "PVC double wye drain fitting",
"@type": "Product",
"image": "https://www.example.com/images/product.jpg",
"offers": {
"@type": "Offer",
"price": "129.00",
"seller": {
"name": "Example Plumbing & HVAC Distributor",
"@type": "Organization"
},
"availability": "https://schema.org/OutOfStock",
"priceCurrency": "USD"
},
"@context": "https://schema.org",
"description": "PVC double wye drain fitting. Specifications and installation notes from the product data.",
"brand": {
"@type": "Brand",
"name": "<brand name>"
},
"gtin": "00012345678905"
}Why it matters to youMany shoppers search by brand, and shopping channels require it. Without it, these PVC fittings and transition bushings miss brand searches and can be turned away by shopping feeds.
How we checkedThe hidden product information on your pages doesn't name the brand. Shoppers may see your logo, but Google and AI assistants read the brand from this data, not from the page design.
2% of your products are missing fields shopping channels require, including “PVC double wye drain fitting” and “CPVC pipe transition bushing”. On average these products carry 77.8% of the core facts AI shopping assistants look for, missing a product identifier and brand.
| Field / check | Observed | Target |
|---|---|---|
| Incomplete core AI commerce attributes | 77.8% of the core facts AI shopping assistants look for; missing a product identifier (a barcode, or a brand and part number) and brand | All 9 core facts AI shopping assistants look for, present on every product |
Product details
PVC double wye drain fitting
| Field / check | Observed | Target |
|---|---|---|
| Incomplete core AI commerce attributes | 77.8% of the core facts AI shopping assistants look for; missing a product identifier (a barcode, or a brand and part number) and brand | All 9 core facts AI shopping assistants look for, present on every product |
Product details
CPVC pipe transition bushing
| Field / check | Observed | Target |
|---|---|---|
| Incomplete core AI commerce attributes | 77.8% of the core facts AI shopping assistants look for; missing a product identifier (a barcode, or a brand and part number) and brand | All 9 core facts AI shopping assistants look for, present on every product |
Product details
Large fabricated PVC drain wye
Across all affected products?77.8% of the core facts AI shopping assistants look for
Why it matters to youA product missing a required field can be shown less often, or rejected, in shopping feeds, and AI assistants skip products they can't describe completely. That's a real risk for these PVC fittings and transition bushings.
How we checkedGoogle Merchant Center, marketplaces, and AI shopping assistants each require a set of product facts, such as brand, price, identifiers, category, and key details. Some of your products are missing some of them.
91% of your products fall short of having at least 3 document links, including “Eight-light bathroom vanity fixture” with 1 link and “Shallow-well pump jet assembly” with 0 links. On average, affected products carry only 0.3 document links.
| Field / check | Observed | Target |
|---|---|---|
| Insufficient documentation links | 1 document link(s) | At least 3 distinct document links per product |
Product details
Eight-light bathroom vanity fixture
| Field / check | Observed | Target |
|---|---|---|
| Insufficient documentation links | 0 document link(s) | At least 3 distinct document links per product |
Product details
Shallow-well pump jet assembly
| Field / check | Observed | Target |
|---|---|---|
| Insufficient documentation links | 0 document link(s) | At least 3 distinct document links per product |
Product details
Condenser fan venturi ring
Across all affected products?0.3 document link(s)
Why it matters to youEngineers and buyers need spec sheets and installation guides to specify lighting fixtures, pump accessories and parts. Without these documents, they buy from a supplier who provides them.
How we checkedProduct pages don't link to spec sheets, installation guides, safety data sheets, or CAD drawings.
62% of your products fall short of having copy that explains the job, equipment, or installation the product is for, including “Condenser fan venturi ring” and “Two-stage gas furnace parts list”.
Product details
Condenser fan venturi ring
Product details
Two-stage gas furnace parts list
Product details
Three-ton rooftop unit parts list
TargetCopy that says what job or equipment the product is for, or how it's installed or used (a "replaces or fits" statement counts; a bare name or a spec list doesn't)
Why it matters to youAI shopping assistants answer shoppers' questions from your page text. If the answer isn't there for these HVAC equipment parts, they recommend a product whose page has it.
How we checkedYour descriptions say little about concrete facts, who or what the product is for, or common questions, and some don't clearly name the product and its brand.
No star ratings or review counts reach search engines from your product pages. It affects 2% of your products.
| Field / check | Observed |
|---|---|
| Star rating | Not published |
Product details
Four-ton gas packaged unit parts list
| Field / check | Observed |
|---|---|
| Star rating | Not published |
Product details
Single-stage gas furnace parts list
| Field / check | Observed |
|---|---|
| Star rating | Not published |
Product details
Downflow gas furnace parts list
Why it matters to youStar ratings shown in search results draw more clicks, and AI assistants favor products with visible reviews.
How we checkedYour product pages don't publish a star rating or review count in the product information search engines read. If you collect reviews, they aren't reaching Google or AI assistants.
79% of your products fall short of a 100-word description, including “Condenser fan venturi ring” with 25 words and “Two-stage gas furnace parts list” with 28 words. Affected products average 33.7 words of description.
| Field / check | Observed | Target |
|---|---|---|
| Thin descriptions increase return risk | 25 words of description | A description of at least 100 words |
Product details
Condenser fan venturi ring
| Field / check | Observed | Target |
|---|---|---|
| Thin descriptions increase return risk | 28 words of description | A description of at least 100 words |
Product details
Two-stage gas furnace parts list
| Field / check | Observed | Target |
|---|---|---|
| Thin descriptions increase return risk | 25 words of description | A description of at least 100 words |
Product details
Outdoor unit condenser coil
Across all affected products?33.7 words of description
Why it matters to youA short description leaves buyers guessing about size and what the part fits for these replacement parts, obsolete HVAC equipment and condenser parts, and that guessing drives returns and gives AI assistants little to work with.
How we checkedSome descriptions are too short, contain spelling or grammar mistakes, or repeat sentences.
100% of your products are missing a barcode (GTIN / UPC / EAN) in the product information your pages publish, including “Eight-light bathroom vanity fixture” and “Shallow-well pump jet assembly”.
Why this may look wrongHaving these numbers in your own product database doesn't count until they appear on the page itself.
| Field / check | Observed |
|---|---|
| Barcode (GTIN / UPC / EAN) | Not published |
Product details
Eight-light bathroom vanity fixture
| Field / check | Observed |
|---|---|
| Barcode (GTIN / UPC / EAN) | Not published |
Product details
Shallow-well pump jet assembly
| Field / check | Observed |
|---|---|
| Barcode (GTIN / UPC / EAN) | Not published |
Product details
Condenser fan venturi ring
Why it matters to youTrade buyers search by manufacturer part number, and marketplaces, distributor feeds, and AI purchasing agents match products by GTIN or MPN. Missing these numbers means missed searches for lighting fixtures, pump accessories and replacement parts.
How we checkedYour product pages' structured data (the hidden product information search engines and purchasing systems read) is missing some of the numbers buyers match on: manufacturer part numbers (MPN), barcodes (GTIN or UPC), or SKUs — the examples show which ones. Having them in your ERP or product database doesn't count until they appear on the page.
Return risk from content gaps?
1,241 of 2,192 products flagged by the content-risk check. Where product data doesn't state specs, sizes and details, shoppers can't tell exactly what they're getting, and more of them send it back.
How it flags a product: its return-risk score weighs the checks below together, and a product is flagged when the score reaches 50 out of 100. One check a product misses, such as images, usually doesn't flag it when its other checks are met.
The checks behind it, lowest first:
- Dimensions, sizing & specs0% covered
- Description detail21% covered
- Product details in your product data31% covered
- Product images55% covered
Dimensions, sizing & specs and Product details in your product data: We don't list fixes for this check yet. It's being improved to read every detail your pages show.
Methodology and input?
How to read these numbers
- Confidence ±2
- How far the score could move with a different sample: ±1 for a full catalog file, ±2 for a full crawl, wider for a small sample. A fixed rule, not a statistical interval.
- No grade
- Under half of your products are ready for shopping channels and AI assistants as they are, so this report gives no grade.
Standards compliance?
Crawl diagnostics?
Covers 2,192 of 2,192 products (100%). We couldn't confirm your catalog's size ahead of time, so a report covers up to 2,192 products, what one crawl can read.?