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Appath AI · AI Product Optimizer

AI-Optimized Jewelry Listings for Every Sales Channel

Appath turns supplier product data, product photos and each channel’s requirements into jewelry listings worth reading: titles, bullets, descriptions, keyword coverage and attributes, each with a quality score and checked against the channel before you see it. Part of Appath AI, in every plan.

Listing quality scorecard Live
SKU E9B07
14K Yellow Gold Butterfly Earrings, Open Design Studs with Diamond-Cut Wings Detail, 8 mm × 10 mm
98
/ 100
Overall score
Excellent
Across 7 Quality Dimensions
Title strategy 99 /100
Bullet quality 100 /100
Description quality 99 /100
Keyword diversity 94 /100
Attribute coverage 93 /100
Image incorporation 100 /100
Channel format compliance 100 /100
  • Image-aware optimization
  • Channel-ready content
  • Quality scoring
  • Attribute coverage
  • Keyword diversity
The problem

Supplier data wasn’t built to sell

Supplier feeds often provide the minimum product information needed to identify an item — not the rich, search-ready content needed to compete across sales channels.

A jewelry product may arrive as 14k 8x10mm Earrings. But shoppers search for material, design, style, size, finish, gifting intent, and product-specific details.

Generic AI writing tools can create copy, but they often miss what the image shows, repeat weak keywords, ignore channel formatting rules, or generate content that does not reflect the actual product. Manual listing writing does not scale across thousands of SKUs, variations, suppliers, brands, and channels.

Appath AI Product Optimizer turns incomplete supplier data into structured, image-aware, channel-ready listing content.

Supplier feed
14k 8x10mm Earrings
vs
Search-ready listing
14K Yellow Gold Butterfly Stud Earrings — Open Wing Diamond-Cut Studs, 8×10 mm Womens Mens Gold Earrings, Gift Boxed
Search-ready
What AI Product Optimizer does

From supplier feed to channel-ready listing content

Supplier data is often incomplete, abbreviated, or not written for ecommerce search. Appath AI Product Optimizer transforms that raw data into structured, channel-ready listing content for Amazon, Walmart, Shopify, eBay, and other sales channels.

Instead of writing every product manually, operators can review, score, refine, and publish optimized listings at catalog scale.

It can generate and improve
  • Product titles
  • Bullet points
  • Descriptions
  • Attribute-rich listing copy
  • Channel-specific content variations
  • Keyword coverage
  • Image-grounded product details
  • Listing quality scores
How it works

AI Product Optimizer in 3 Steps

1
Read the product data and image

Appath reviews supplier data, product attributes, product images, category context, and sales channel requirements.

2
Generate channel-ready listing content

AI Product Optimizer creates optimized titles, bullet points, descriptions, and listing copy tailored for Amazon, Walmart, Shopify, eBay, and other sales channels.

3
Score, check, and review

Each draft is scored across seven quality dimensions, then checked by the same channel check Appath runs on any push: Amazon’s whole schema, Walmart’s item spec and eBay’s item specifics. A draft a channel would refuse is shown refused, naming the field. You publish through the listing preview; the Optimizer never publishes.

AI built into the listing workflow

Not a standalone description generator

Appath AI Product Optimizer is connected to your catalog, product data, images, channel requirements, validation rules, and listing quality scores. That connection is what lets it do real work — not generate generic copy from a blank prompt.

Catalog
SKUs & variations
Product data
Attributes
Product images
Visual context
Appath
AI Product Optimizer
Channel reqs
Amazon, Walmart, eBay
Validation rules
Compliance checks
Quality scores
7 dimensions
That means the optimizer can

Use real product attributes instead of generic prompts

Incorporate visible product details from images

Create channel-specific listing variations

Score output before approval

Highlight weak listings that need review

Improve content consistency across large catalogs

AI is most valuable when it works inside the operational workflow — not outside it.

What's being scored

7 dimensions of listing quality

Every listing is evaluated across the dimensions that influence search visibility, listing quality, and sales channel readiness. Each dimension is independent, transparent, and improvable.

Dimension 1
Title strategy

Lead-with-keyword construction, attribute ordering, length within channel limits, brand and material in optimal positions for sales channel search.

Dimension 2
Keyword diversity

Distribution of high-value search terms across the listing without keyword stuffing. Penalizes repetition; rewards range.

Dimension 3
Bullet quality

Each bullet has a distinct role (material, design, size, styling, gifting), opens with a strong attribute, and earns its character count.

Dimension 4
Image incorporation

Attributes visible in the product image are surfaced in the copy. Color, finish, design details, and proportions detected from the image flow into title, bullets, and description.

Dimension 5
Attribute coverage

All sourceable attributes (metal, karat, size, weight, finish, gemstone, dimensions) are present and correctly placed.

Dimension 6
Channel format compliance

Title length within Amazon/Walmart/eBay/Shopify constraints. Bullet character counts within sales channel limits. Description structure matches what each channel renders best.

Dimension 7
Description quality

Structured product descriptions that cover material, design, sizing, styling, and gifting context — written in prose that channels render well and that reinforces the keywords carried through the title and bullets.

The overall score is a weighted average. A score above 90 is strong. A score below 70 means the listing has a clear weakness; the scorecard tells you which dimension to improve.

In action

From basic supplier data to optimized listing content

SKU E9B07. A real jewelry product as it arrives from the supplier, and the channel-ready content AI Product Optimizer produces from it.

Supplier feed input
14K yellow gold butterfly stud earrings with diamond-cut wings detail, 8mm by 10mm
14k 8x10mm Earrings
No bullets. No description.
The supplier image is shown for context. The output below is the listing content AI Optimizer produces — title, bullets, description, and scorecard.
AI Product Optimizer output
Title
14K Yellow Gold Butterfly Earrings, Open Design Studs with Diamond-Cut Wings Detail, 8 mm × 10 mm
Bullets
  • SOLID 14K GOLD — Crafted from genuine solid 14K yellow gold, these butterfly stud earrings offer lasting fine-jewelry appeal in a lightweight everyday pair for women’s and men’s jewelry collections.
  • OPEN BUTTERFLY SHAPE — The butterfly stud earrings feature an open design with cutout wings, curved antennae, and diamond-cut style detailing that adds bright texture and a graceful look.
  • COMFORTABLE SIZE — With an 8 mm length and 10 mm width profile, these butterfly earrings offer a visible yet easy-to-wear scale for daily styling, giving you delicate character without an overly large look. Approx. 8×10 mm.
  • EASY TO STYLE — The warm yellow gold tone and airy butterfly outline pair easily with casual outfits, dressier looks, and layered jewelry styling for both women’s and men’s accessories.
  • GIFT BOX READY — These solid 14K yellow gold earrings arrive in a gift box, making them a thoughtful present for birthdays, holidays, anniversaries, or everyday gifting occasions.
Description

Made from genuine solid 14K yellow gold, these butterfly earrings showcase an open design with diamond-cut style detailing across the wings. The butterfly shape is defined by cutout sections, a sculpted center body, and softly curved antennae that give the pair a lively, recognizable profile. At 8 millimeters in length and 10 millimeters in width, these gold studs combine the charm of butterfly earrings with the clean look of earring studs sized for frequent wear.

The open butterfly styling creates a lighter visual effect, while the diamond-cut style finish adds texture and brightness when the earrings catch the light. Their 8 × 10 millimeter size works well for everyday use, whether worn with casual clothing, office attire, or occasion looks that call for a subtle nature-inspired accent. These solid 14K yellow gold stud earrings suit women's and men's jewelry wardrobes alike and offer an easy balance of detail and wearability.

Each pair ships in a gift box, making a ready-to-give option simple for birthdays, holidays, anniversaries, and other celebrations.

Title 99 Keywords 99 Bullets 100 Image 100 Attributes 97 Format 100 Priority 92 Overall 98/100
By the numbers

Measured on real jewelry catalogs

These figures were measured on real multichannel jewelry catalogs: large supplier catalogs, their channel listing requirements, and the Optimizer’s own quality validation.

95%+
Pass rate across 7 listing quality validation dimensions
90%+
Average keyword diversity improvement vs. baseline supplier titles
800K+
Sales channel listings organized across real jewelry catalog operations
7
Independent quality dimensions scored per listing
How a job is quoted

Priced in Appath AI credits, quoted before anything runs

The AI Product Optimizer is part of every plan and runs on the same credit balance as the rest of Appath AI. A job’s price is set by how many products it covers and how many channels it writes for. You see the quote in credits, and the job runs only when you confirm it.

Most catalog jobs are larger than a month’s allowance, so they are paid from a credit pack at your plan’s price per credit: 10¢ on Solo, 9¢ on Core, 8.5¢ on Growth and 7.5¢ on Scale. A job that fails, or one you cancel before it starts, returns its credits.

Example: 5,000 rings for Amazon and Walmart is 5,990 + 2,990 = 8,980 credits. Catalogs over 100,000 products are quoted with you. See plans and credit packs.

AI Product Optimizer job quotes in credits, by catalog size
Products in the job First channel Each further channel
Up to 1,000 2,990 credits +1,490
Up to 5,000 5,990 credits +2,990
Up to 10,000 9,990 credits +4,990
Up to 25,000 19,990 credits +9,990
Up to 50,000 34,990 credits +17,990
Up to 100,000 69,990 credits +29,990
Common questions

Frequently asked questions

Common questions about how AI Product Optimizer turns supplier product data into channel-ready listing content. If your situation isn’t covered, get in touch.

What is the Appath AI Product Optimizer?
The AI Product Optimizer is the part of Appath AI that writes listing content for multichannel jewelry sellers. It turns supplier product data and product photos into titles, bullets, descriptions, keyword coverage and attributes for each channel, with a quality score.
Is the Optimizer included in my plan?
Yes. The AI Product Optimizer is part of Appath AI, which every plan includes, and it runs on the same credit balance as the Assistant. Every plan adds a monthly allowance, from 100 credits on Solo; most catalog jobs are larger than a month’s allowance, so they are paid from a credit pack at your plan’s price per credit.
How do credits work for an Optimizer job?
A job is quoted in credits before it runs, by the number of products and channels: up to 1,000 products for one channel is 2,990 credits, and each further channel adds 1,490. The job runs only when you confirm it, and a job that fails, or one you cancel before it starts, returns its credits. One credit is $0.10 at list price, less 10% on Core, 15% on Growth and 25% on Scale through the pack price.
What kind of product data can the Optimizer use?
Supplier titles, descriptions and attributes, SKU data, product photos, category context and each channel’s own listing requirements, including the metal, stone and size details jewelry depends on.
Does it create different content for each sales channel?
Yes. Amazon, Walmart, eBay and Shopify each get content written for their own title structure, formatting rules and attributes. Before you see a draft, it goes through the same check Appath runs on any push: Amazon’s whole schema, Walmart’s item spec and eBay’s item specifics. A draft a channel would refuse is shown refused, naming the field.
Does the Optimizer publish to my channels?
No. Its output lands as drafts with their quality scores. You review them and publish through the listing preview, which shows exactly what each channel will receive.
What does the listing quality score measure?
Seven dimensions: title strategy, bullet quality, description quality, keyword diversity, attribute coverage, image incorporation and channel format compliance.
Is the Optimizer only for jewelry?
Appath is built for jewelry first, because that is where we ran stores for twenty years; the platform is category-neutral underneath, and more categories open as suppliers in them join.

Optimize Your Jewelry Catalog With AI

Turn supplier product data into channel-ready listings, scored for quality and checked against each channel, as part of Appath AI in every plan.

Built for multichannel jewelry sellers on Amazon, Walmart, eBay and Shopify
Private beta · Now accepting jewelry sellers