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.
Revenue
AI Recommendation Engine for WooCommerce
Recommendations for your WooCommerce store built from real orders and customers, delivered as a feed your site and emails can use.
Related-product slots in WooCommerce are often filled by hand or left to chance. This edition reads your store's products, orders, customers and coupons through WooCommerce REST API keys and works out which products to suggest to each customer and alongside each product. Results arrive as a recurring feed for your site and emails, guest shoppers included.
- Suggestions built from real WooCommerce orders and customers
- Recommendations for guest shoppers as well as account holders
- A recurring feed for your site and email campaigns
$5,250
20–30 working days
Optional maintenance $265/mo
What it is
AI Recommendation Engine for WooCommerce reads your store's products, orders, customers and coupons through WooCommerce REST API keys and computes which products to suggest to each customer and alongside each product. Results come as a recurring feed or dashboard for your site and emails, with alerts and agreed fields written back. Agreed fields are written back to your store.
Why businesses buy it
Every product page and email has space for recommendations, and filling it with the right items lifts order value and repeat purchases. Doing that well by hand is impossible across a growing catalog, and many plugins rely on simple rules. This edition uses your actual purchase history to suggest what customers really buy together. The documented field mapping and written scope set out what is read, what is written back and how it is tested.
Problems this solves
WooCommerce related products follow categories and tags, not customer behavior
Using REST API keys, the engine reads your products, orders, customers and coupons. It computes which products to suggest to each customer and alongside each product, delivered as a feed or dashboard.
Cross-sells and upsells were set by hand and rarely revisited
Results refresh on a recurring schedule from real order data. Agreed fields are written back to your store through a documented mapping, so product records hold current suggestion data without manual edits.
Store API keys get created with more access than anyone tracks
Keys are created and held by you, never sent by email. The documented field mapping shows exactly which WooCommerce data is read and which fields are written back.
A good fit if
Your shop runs on WooCommerce, and related-product slots are filled by category or by hand.
Many orders come through guest checkout, so you need product-to-product suggestions as well as per-customer ones.
Coupons drive a lot of your sales, and you want to see whether recommended products sell with or without them.
Your WordPress admin can create WooCommerce REST API keys and join a 30-minute setup call.
Not the right fit if
You want a chat assistant that helps shoppers choose. See WooCommerce AI Sales Assistant.
Your catalog data is messy, with missing attributes or inconsistent titles. See AI Catalog Optimization first.
You sell through WhatsApp conversations more than through your site. See WhatsApp AI Ecommerce Agent for WooCommerce.
Your store is on Shopify. See AI Recommendation Engine for Shopify.
How it works
- Your admin creates WooCommerce REST API keys, read-only where possible, with write access only for the fields agreed on a 30-minute mapping call.
- Three months or more of orders, products, customers and coupons are read, with browsing data from one extra system such as your analytics platform.
- Two kinds of recommendation are computed: products to show a known customer, and products to show next to a given product for anyone, including guest shoppers.
- Before launch, the model is tested against three months of your WooCommerce history, and you see how its picks compare with what customers bought.
- A recurring feed or dashboard goes out through your chosen channel, agreed fields are written back to WooCommerce, and up to five alerts watch for shifts.
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.
- WooCommerce REST API keys, created by your WordPress or WooCommerce admin.
- That admin for a 30-minute setup call.
- Three months or more of WooCommerce order history.
- Read access to the extra system that tracks browsing, if you have one.
- Your metric definitions, for example how coupon use should be counted.
- Product catalog data, and your shipping, returns and refund policies.
- Report recipients, the delivery channel, 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
Intake verified; REST API keys and metrics confirmed.
Weeks 1–2
Customer and product recommendation sets modeled.
Week 3
Feed, alerts and WooCommerce write-back connected.
Weeks 3–4
Model checked against three months of store history.
Week 4
Review, then two rounds of changes.
Go-live
Feed live for your WooCommerce store, handoff recorded.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,250 |
| Express | 15–25 working days | $6,050 |
| Rush | 10–20 working days | $6,850 |
What you receive at handover
- AI Recommendation Engine for WooCommerce configured and deployed
- A WooCommerce connection with a written field mapping you can refer back to
- REST API access set up with keys you control
- A test report on sandbox or test records, with results checked against three months of history
- An admin guide and the recorded 60-minute handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Helps WooCommerce suggestions reflect what customers actually buy together
- Can save the time spent updating cross-sells product by product
- Makes it easier to show different suggestions on site and in emails from one source
- Average order value
- Use WooCommerce Analytics revenue and orders for the four weeks before launch and compare with the four weeks after.
- Items sold per order
- Divide items sold by orders in WooCommerce Analytics for the same two periods.
- Clicks on recommendation blocks
- Track them as events in your web analytics and review the count month to month.
Before you start: Note your average order value and items per order in WooCommerce Analytics for the last full month. List which products currently have manual cross-sells or upsells.
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. Running it costs roughly $20 to $150 a month in your own accounts for AI model usage and the scheduler that refreshes the feed. Hosting for your WordPress site is separate and unchanged.
AI usage during the build and test phase is billed to your accounts too.
Ask about running costsCustom requirements
A second delivery channel, a separate model per store language, a third data source, or custom WooCommerce objects need a written Change Quote. Add a note at checkout and we send it to you. 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, for example retraining after a seasonal range or adding a coupon metric. Bigger changes go through a Change Quote.
$265/mo (5% of the build price a month, 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 WooCommerce recommendation plugin charges a yearly license | A WordPress developer bills by the hour | Ours is one fixed price, shown before you buy |
| Logic | Related products by category or tag | Custom code you then maintain | Ours computes suggestions from your real order history |
| Guest shoppers | Often shown the same list as everyone | Depends on the build | Ours computes product-to-product sets for guests |
| Delivery | Install is quick, tuning is on you | Set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
What WooCommerce data does the recommendation engine use?
Products, orders, customers and coupons, read through WooCommerce REST API keys. Write access is limited to the fields agreed in the mapping, such as where your theme reads related products. Custom WooCommerce objects outside the mapping are not included, and browsing data comes from one extra system if you have it.
Does the WooCommerce edition work for guest checkout orders?
Yes. Orders placed without an account still show which products are bought together, so the engine computes product-to-product suggestions anyone can see. Per-customer recommendations apply where a customer record exists. Both kinds are checked against three months of your history before launch.
Can AI Recommendation Engine for WooCommerce measure coupon use?
Yes, as one of your defined metrics. Coupons are in the mapping, so the recurring report can show how often recommended products are bought with a coupon compared with other products. You choose up to 25 metrics or recurring questions in total during intake.
Does the recommendation model run inside our WordPress site?
No. The model runs on its own scheduler in your accounts, not inside WordPress. Your theme or email tool only reads the finished results, from the feed or from the agreed WooCommerce fields, so the heavy computing happens outside the shop itself.
What does the WooCommerce recommendation edition cost, and how fast can it be?
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. The clock starts after your REST API keys, metric definitions and order history access are verified, which is due within 72 hours of ordering. Running costs of roughly $20 to $150 a month are separate and paid to your own providers.
What does running the WooCommerce engine cost each month?
Roughly $20 to $150 a month in your own accounts, for AI model usage and the scheduler that refreshes recommendations. Your WordPress hosting and any WooCommerce extensions are separate. Monthly maintenance is optional after the 30 days of support. Its change hours cover retraining after a seasonal range or adding a coupon metric.
Guides on this topic
All guides Fill your related-product slots with what customers actually buy.
Order AI Recommendation Engine for WooCommerce and your orders, customers and coupons feed a tested recommendation set for your site and emails, guest shoppers included.
Works well with
Catalog
AI Catalog Optimization
Finds and fixes missing attributes, duplicates and inconsistencies in your catalog.
Operations
AI Ecommerce Analytics
Answers questions about sales, margins, cohorts and channels in plain language.