Websites, Stores and Search
Generative engine optimization: how to get cited by AI search
What generative engine optimization really is, what the research shows, and a step-by-step plan to get your pages cited by AI search.
Catalog
AI Product Description Engine for Adobe Commerce
Adobe Commerce products get on-brand descriptions drawn from their own attributes, written back only to fields you approve.
Adobe Commerce catalogs often hold rich product attributes that never make it into the description shoppers actually read. This edition writes on-brand descriptions from those attributes, in up to three formats, using the voice of your reference examples. An integration token gives it access on a documented field mapping, and approved copy is written back only to the attributes you choose.
- Descriptions built from your existing product attributes
- Up to three copy formats per product
- Written back only to the attributes you approve
$3,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Product Description Engine for Adobe Commerce writes on-brand product descriptions from the attributes already stored in your Adobe Commerce catalog. An integration token gives it two-way access to catalog data on a documented field mapping, and approved copy, in up to 3 formats, is written back to the mapped attributes. You approve every sample first.
Why businesses buy it
Large Adobe Commerce stores tend to have excellent data and weak copy, because writing for thousands of SKUs by hand is not realistic. Shoppers miss the details that would convince them, and search engines see thin pages. This edition turns your structured attributes into readable, on-brand copy at scale. The documented field mapping and written scope set out exactly which attributes are read and written, and how samples are approved, before you order.
Problems this solves
Rich Adobe Commerce attributes never make it into the copy
The engine writes descriptions from the attributes already stored in your Adobe Commerce catalog. Details your team entered once are turned into readable, on-brand text.
Updating descriptions across store views is slow and manual
Approved copy, in up to three formats, is written back to the mapped attributes. An integration token gives two-way access on a documented field mapping.
Large catalogs make consistent tone very hard to keep
Every draft follows your brand profile and up to 20 reference examples. You approve every sample first, so the voice is agreed before volume production.
A good fit if
Your Adobe Commerce catalog is large, attribute-rich and short on consistent, readable descriptions.
Product specs live in attributes and attribute sets, and the copy should be built from them rather than retyped.
Your team wants copy approved in a sample batch before it touches a catalog many people depend on.
An Adobe Commerce admin can create an integration with the right resource access and issue its token.
Not the right fit if
Your store runs on BigCommerce. See AI Product Description Engine for BigCommerce.
You want personalized product recommendations across your Adobe Commerce storefront. See AI Recommendation Engine for Adobe Commerce.
Customers need answers about orders and deliveries. See AI Order Support Agent for Adobe Commerce.
You need the catalog adapted for marketplace listings too. See AI Marketplace Listing.
How it works
- An integration is created. Your Adobe Commerce admin sets one up, limited to the catalog resources we list, and issues its token; a 30-minute call then fixes the attribute mapping.
- Source attributes are chosen. Out of everything your attribute sets hold, we agree which attributes feed the copy and which description attributes receive it.
- Your voice is learned from your brand profile and up to 20 reference descriptions, so output matches the pages your team already rates highly.
- Drafts are generated in up to 3 formats, for example a full description, a short description and key features, each tied to a mapped attribute.
- Twenty-five sample outputs are checked on test records and approved by you, with two rounds of changes applied to the pipeline.
- Approved batches are written back through the integration. Products with incomplete attributes are listed for your catalog team instead of guessed at.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- An Adobe Commerce integration token with the catalog access we list, created by your admin and shared securely in the way we agree at intake, never by email.
- Your Adobe Commerce admin for a 30-minute attribute-mapping call.
- Ten to twenty descriptions that show the voice you want.
- Brand guidelines or style notes.
- The attribute sets or categories to process first.
- Access to one external source, such as a spec sheet, if some facts live outside Adobe Commerce.
- A reviewer for the samples, your business basics and one decision-maker.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Integration token verified, attribute mapping agreed, references received.
Weeks 1–2
Voice and pipeline built from your attributes and examples.
Week 3
Write-back to mapped description attributes set up on test records.
Weeks 3–4
25 sample outputs produced and sent for approval.
Week 4
Two rounds of changes.
Go-live
First approved batch written, recorded handoff, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,400 |
| Express | 15–25 working days | $4,000 |
| Rush | 10–20 working days | $4,600 |
What you receive at handover
- AI Product Description Engine configured and connected to your Adobe Commerce catalog
- A documented field mapping for the two-way Adobe Commerce connection, plus up to one more system
- Access through an integration token or keys you control, with no keys sent by email
- A test report on 25 sample descriptions, run on sandbox or test records
- An admin guide and the recorded 45-minute handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can make better use of the product data you already maintain.
- Helps a large catalog speak in one consistent voice.
- Products with complete descriptions
- Count them in an Adobe Commerce catalog export before launch and a month after.
- Merchandiser time on copy
- Ask merchandisers to log weekly hours on descriptions for two weeks before and after.
- Conversion on updated products
- Compare analytics for updated product pages over the four weeks before and after publishing.
Before you start: Export your catalog and count products with missing or thin descriptions. Note how much time merchandisers spend on copy.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is paid once. AI model usage then runs roughly $20 to $150 a month in your own accounts, scaling with how many products you process. Adobe Commerce licensing and hosting stay as they are and are not part of this build.
AI usage during build and testing is billed to your accounts too.
Ask about running costsCustom requirements
Extra attributes beyond the mapping, custom Adobe Commerce objects, a second language or a fourth format are priced by Change Quote. Add a checkout note and the written quote follows. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance for this edition covers monitoring, fixes and a monthly allowance of change hours, for example mapping a newly added attribute or running a new range. Bigger changes go through a Change Quote.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A content platform charges an annual license per user | An Adobe Commerce agency quotes after discovery | Ours is one fixed price, shown before you buy |
| Attributes | Rarely reads your attribute sets | Depends on the brief | Ours drafts from the attributes agreed in the mapping |
| Write-back | Export and re-import by spreadsheet | Handled by a developer | Ours writes approved copy through the integration token |
| Delivery | License today, configuration over months | Set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Why does the Adobe Commerce edition cost more than the other store editions?
Connecting to Adobe Commerce takes more integration work than Shopify, WooCommerce or BigCommerce, because its attribute structure needs more mapping and testing. That extra work is reflected in a higher fixed price, shown before you buy. The scope itself is the same: one generation pipeline, up to 3 output formats, up to 20 reference examples and 25 samples approved by you.
Which Adobe Commerce attributes does the engine read and write?
The ones named in the documented field mapping. Usually that means reading names, categories and specification attributes from your attribute sets, then writing the description attributes you choose. Anything beyond the mapping, including custom objects, stays untouched unless it is added through a Change Quote.
What does the Adobe Commerce integration token need access to?
Catalog resources only, as listed during intake. Your Adobe Commerce admin creates the integration and shares its token securely in the way we agree at intake, never by email. The admin can deactivate that integration at any time, which ends the engine's access at once.
Can the Adobe Commerce samples be reviewed before the live catalog changes?
Yes. Twenty-five sample outputs are written to test records first, so your catalog team can read them in context. Live products are only updated after approval and the two rounds of changes. Later batches use the same approved formats and attribute mapping, so quality holds.
How much is the Adobe Commerce description engine with express or rush delivery?
Each delivery speed has one fixed price. The price panel shows standard, express and rush side by side before you pay, and the cart confirms your delivery date. Each includes the integration and attribute mapping, 25 approved samples, two rounds of changes and the recorded forty-five-minute handoff session. Running costs of roughly $20 to $150 a month are separate and paid to your own providers.
What are the monthly costs for the Adobe Commerce engine?
Roughly $20 to $150 a month in AI model usage, paid in your own accounts and rising with the number of products processed. Your Adobe Commerce license and hosting are separate and unchanged. Monthly maintenance is optional. It covers monitoring, fixes and change hours, for example mapping a newly added attribute or running a new range.
Guides on this topic
All guides Turn Adobe Commerce attributes into descriptions people read.
Order AI Product Description Engine for Adobe Commerce and approved, on-brand copy built from your own attributes is written back through your integration token, field by mapped field.
Works well with
Catalog
AI Marketplace Listing
Adapts your master catalog into listings for several marketplaces, such as Walmart, eBay, Etsy, TikTok Shop and Amazon.
Revenue
AI Recommendation Engine
Recommends products on site and in email based on behavior and purchase history.