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Catalog
AI Product Description Engine for BigCommerce
Your BigCommerce catalog gets consistent, on-brand product copy, written from the catalog itself and approved before it goes live.
A BigCommerce catalog built over years often reads like many different people wrote it, because they did. This edition turns the facts already in your catalog, products, brands and categories, into consistent, on-brand descriptions in the voice of your reference examples. It works through a scoped API account, and approved copy is written back to BigCommerce for you.
- Consistent, on-brand copy across your whole BigCommerce catalog
- Descriptions built from your own catalog data
- Approved text written back through a scoped API account
$2,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Product Description Engine for BigCommerce turns the facts in your BigCommerce catalog into on-brand product descriptions. Working through an API account with scoped permissions, it reads products, brands and categories, drafts copy in up to 3 formats in the voice of your reference examples, and writes approved text back. You approve every sample first.
Why businesses buy it
Inconsistent product copy makes a store feel less trustworthy and makes comparison harder for shoppers. Fixing it by hand across a large BigCommerce catalog is a project nobody has time for. This edition rewrites at scale, in your voice, using only the facts you already hold, and writes approved copy back where it belongs. The documented field mapping and written scope tell you exactly what is read, written and approved before you order.
Problems this solves
BigCommerce listings show specs but little that persuades a buyer
The engine turns the facts already in your BigCommerce catalog into on-brand descriptions. It reads products, brands and categories, then drafts copy in the voice of your reference examples.
Store owners are wary of giving tools full store access
The engine works through an API account with scoped permissions. Access is set up by you, the engine sees only what it needs, and no keys are sent by email.
Each sales channel needs a different length of copy
Copy can be drafted in up to three formats, such as full, short and feed versions. Approved text is written back to the mapped fields after you approve every sample.
A good fit if
You run a BigCommerce store where product copy was written by different people, suppliers or tools over the years.
Brands, categories and product specs are already maintained in BigCommerce and should drive what each description says.
You want new copy reviewed in batches, starting with a 25-product sample, before your catalog changes.
Your admin can create a BigCommerce API account with only the catalog scopes the job needs.
Not the right fit if
You are on Adobe Commerce. See AI Product Description Engine for Adobe Commerce.
You need listings for marketplaces as well as your own store. See AI Marketplace Listing.
Shoppers mostly need help with orders, not product pages. See AI Order Support Agent for BigCommerce.
The descriptions are fine but products do not rank. See AI Product SEO.
How it works
- A scoped API account is set up. Your BigCommerce admin grants catalog permissions from our list, and a 30-minute call fixes which fields are read and which are written.
- Tone comes from you: your brand profile and up to 20 reference descriptions you rate as good examples.
- Each product's name, brand, category, variants and current description are read from the BigCommerce catalog, with one more system available for specs kept elsewhere.
- Copy is drafted in up to 3 output formats agreed at intake, and every format has a destination field in the documented mapping.
- A 25-product sample is checked on test records and approved by you. Your two rounds of changes adjust the pipeline itself.
- Approved batches are written to the BigCommerce catalog. Products lacking enough data are reported back rather than given invented details.
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.
- A BigCommerce API account with the catalog scopes we list, created by your admin and shared securely in the way we agree at intake, never by email.
- Your BigCommerce admin for a 30-minute field-mapping call.
- Ten to twenty product descriptions you would be happy to see across the whole catalog.
- Brand guidelines, or a few lines on how you want to sound.
- The first categories or brands to work through.
- Access to any external spec source you want included.
- A sample reviewer, 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
Scopes confirmed, mapping call held, reference examples received.
Weeks 1–2
Voice and pipeline built against your BigCommerce catalog data.
Week 3
Write-back to mapped catalog fields set up on test records.
Weeks 3–4
25 sample descriptions produced for review.
Week 4
Your two rounds of changes.
Go-live
Approved batch live in BigCommerce, recorded handoff, support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $2,900 |
| Express | 15–25 working days | $3,400 |
| Rush | 10–20 working days | $3,900 |
What you receive at handover
- AI Product Description Engine configured and connected to your BigCommerce store
- A documented field mapping for the two-way BigCommerce connection, plus up to one more system
- A scoped API account set up with keys you control
- A test report on 25 sample descriptions, run on 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
- Helps turn plain spec sheets into copy that explains why a product suits the buyer.
- Can keep store access limited to only what the engine needs.
- Products with complete descriptions
- Count them in a BigCommerce product export before launch and a month after.
- Product page conversion
- Compare BigCommerce analytics for updated products over the four weeks before and after.
- Draft approval rate
- Track how many drafts are approved with light edits each week during the first month.
Before you start: Export your BigCommerce catalog and note which products lack proper copy. Record current conversion on your top product pages.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is a one-time payment. Ongoing AI model usage is roughly $20 to $150 a month in your own accounts, mostly tracking how many products you process. BigCommerce keeps billing your plan directly; licenses and upgrades are outside this build.
Build and testing usage is charged to your accounts as well.
Ask about running costsCustom requirements
Writing to BigCommerce custom fields or other objects outside the mapping, adding a fourth format or a second language needs a Change Quote. Note it at checkout to receive one in writing. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes and a monthly allowance of change hours, enough to process a new brand or category and keep tone consistent. 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 | An AI writing tool bills monthly per user | A BigCommerce agency quotes per batch of products | Ours is one fixed price, shown before you buy |
| Source data | You paste product facts into a prompt | A writer researches each product | Ours reads brand, category and variants from BigCommerce |
| Approval | Accept or reject one output at a time | Depends on the brief | Ours approves a 25-product sample before bulk writes |
| Delivery | Immediate, but prompted by hand | Set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Which BigCommerce catalog data does the description engine read?
Product names, brands, categories, variants and any existing description, read through the API account on the documented mapping. Orders and customers are within the connection's reach but are not needed for writing copy. One more system, such as a spec spreadsheet, can supply facts BigCommerce does not hold.
Can the BigCommerce engine write only to fields we choose?
Yes. The documented field mapping lists exactly which catalog fields are written, and the API account's scopes limit access further. Fields outside that list, including prices and inventory, are never changed by the engine. Adding a field later is a small change under maintenance or a Change Quote.
How are several brands in one BigCommerce catalog handled?
Brand is read as a fact from each product record, so copy never credits a product to the wrong brand. All brands share the one voice learned from your reference examples. If you need a distinct voice per brand, that is covered by the Multi-Brand Setup add-on bought with this build.
Do we review BigCommerce copy before the live catalog changes?
Yes. Twenty-five sample outputs are generated on test records and approved by you first, and the two rounds of changes are applied before any live write. After launch, each new batch follows the same approved formats, so the catalog stays consistent from one batch to the next.
What does the BigCommerce description engine cost, including faster 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. Every option includes the scoped BigCommerce connection, the documented field mapping, 25 approved samples and the recorded handoff session. Running costs of roughly $20 to $150 a month are separate and paid to your own providers.
What does the BigCommerce engine cost to run each month?
Usually $20 to $150 a month in AI model usage, paid to the provider in your own account. A month spent rewriting a large category costs more than a month of new products only. There is no per-description fee from us, and your BigCommerce plan stays as it is.
Guides on this topic
All guides Make your BigCommerce catalog read like one brand wrote it.
Order AI Product Description Engine for BigCommerce and approved, on-brand copy built from your own catalog data is written back to BigCommerce, so the whole store reads as one brand.
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.
Front Line
AI Order Support Agent
Answers order status, delivery and change requests using live order data.