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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
On-brand product descriptions written at catalog scale, in your voice, without a copywriter per SKU.
Writing a good description for every product is slow, and copy written in a rush sounds thin and inconsistent. This engine writes on-brand product descriptions at catalog scale, learning your tone from reference examples you approve. Drafts come to you for review before anything is published, so your store reads like one brand wrote it, from the first product to the last.
- On-brand descriptions written for the whole catalog
- Your tone learned from examples you approve
- Every draft reviewed before it reaches your store
$1,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Product Description Engine writes on-brand product descriptions at catalog scale, learning your tone from the reference examples you approve and producing draft copy for review rather than one-off writing per listing. Output goes to the single destination you choose, such as your store or a shared drive. You approve the voice before full production.
Why businesses buy it
Product copy sells. Thin or copied descriptions hurt conversion and search visibility, yet writing hundreds of good ones by hand is expensive and slow, and quality drops as the catalog grows. This engine gives every product a consistent, on-brand draft from your own product data, so your team edits instead of writing from scratch. The written scope sets out the formats, the reference examples and the output destination before you order.
Problems this solves
Hundreds of products still carry thin or supplier copy
AI Product Description Engine writes draft descriptions at catalog scale. It produces copy for your review in batches, rather than someone writing each listing from a blank page.
Descriptions sound different depending on who wrote them
The engine learns your tone from up to 20 reference examples you approve and your brand profile. You approve the voice before full production begins.
Finished copy still has to be pasted into the store by hand
Output goes to the single destination you choose, such as your store or a shared drive. One pipeline can produce up to three formats, such as long and short descriptions.
A good fit if
You are launching or relaunching dozens or hundreds of product listings and cannot write each description by hand.
Your existing descriptions are inconsistent in tone because different people, or different tools, wrote them over time.
You can supply 10 to 20 reference examples of copy you already like, so the engine has a real tone to match.
You want a reviewable batch of draft descriptions delivered to one destination, not a live chat tool you operate yourself.
Not the right fit if
Your descriptions are fine and the real problem is that shoppers cannot find your products in search. See AI Product SEO, which optimizes titles, meta and schema for search.
You need those same descriptions reformatted for Amazon's specific listing rules, not your own store. See AI Amazon Listing Optimization built around Amazon's own style and search requirements.
You are listing the same catalog across several third-party marketplaces at once. See AI Marketplace Listing, which adapts one master catalog into several marketplace formats.
You need more than 3 output formats or more than one destination system, for example separate feeds to five channels. Add a note at checkout for a Change Quote, or start from our Custom AI enquiry form.
How it works
- You hand over your brand guidelines, tone-of-voice examples and the product or topic list to start with.
- The engine learns your voice from the 10 to 20 reference examples you approved, not a generic 'friendly and professional' default.
- It drafts descriptions for each product on your list, in up to 3 output formats, such as a short and a long version plus bullet-point highlights.
- 25 sample outputs are reviewed and approved by you before the full run, so the tone is locked in before it scales.
- Approved drafts are delivered to the single destination you chose, your store, your CMS or a shared drive, ready for your team to publish.
- Anything the engine is unsure about, such as a product with no clear category precedent, is flagged rather than guessed.
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.
- Your brand guidelines and tone-of-voice examples, even a short style note if you do not have a formal document.
- Ten to twenty reference examples of product copy you already like, so the engine has a real tone to match.
- Access to the destination for the finished drafts, whether that is your store, a CMS or a shared drive.
- The product or topic list you want covered first.
- The name of the person who reviews and approves the sample outputs before the full run.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker on your side who can sign off during the build.
- 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, reference examples and product list confirmed.
Weeks 1–2
Voice and generation pipeline built from your reference examples.
Week 3
Destination connection configured and the output formats set.
Weeks 3–4
25 sample outputs generated and sent for your review.
Week 4
Your review and two rounds of changes.
Go-live
Live, first full batch delivered, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $1,900 |
| Express | 15–25 working days | $2,300 |
| Rush | 10–20 working days | $2,650 |
What you receive at handover
- AI Product Description Engine configured and deployed, delivering to one destination
- Your brand profile with up to 20 approved reference examples
- Workflow, prompt and guardrail configuration for one pipeline with up to three formats
- A test report on 25 sample descriptions you reviewed and approved
- An admin guide and the recorded 45-minute handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can turn a long copywriting backlog into a review task.
- Helps every listing read in the same brand voice.
- Products with complete descriptions
- Count products with full copy in a catalog export before launch and again after a month.
- Time per published description
- Compare time spent writing by hand before launch with time spent reviewing drafts after.
- Product page conversion
- Compare conversion on rewritten pages in your store analytics for four weeks before and after.
Before you start: Export your catalog and count products with missing or thin copy. Note how long a description takes to write today.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running the engine is billed to your own accounts, mostly AI model usage: typically $20 to $150 a month, depending on how many descriptions you generate.
AI usage during the build and test phase is billed the same way, so your AI provider relationship stays in your own name throughout.
Ask about running costsCustom requirements
Need a second destination or a fourth output format beyond the Scope Card? Add a note at checkout and we return a written Change Quote before any of that extra scope starts. 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 things such as a tone adjustment or a new product batch. It starts once the 30 days of included support end and can be cancelled in any month.
$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 charges a monthly seat fee per user | A copywriting agency quotes per description, per revision | Ours is one fixed price, shown before you buy |
| Scope | A writing tool generates from a prompt you write each time | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Tone match | Most writing tools start from a generic brand-voice setting | An agency learns your voice over several drafts | Ours learns from the 20 reference examples you approve |
| Delivery | A writing tool is available immediately but needs prompting per item | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Review step | Most writing tools publish whatever you accept without a sample stage | An agency build depends on what was agreed | Ours reviews 25 sample outputs with you before the full batch |
Questions about this product
What does the AI Product Description Engine cost?
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. Running costs of roughly $20 to $150 a month are separate and paid to your own providers.
What does the Product Description Engine cost to run each month?
Typically $20 to $150 a month in AI model usage, depending on how many descriptions you generate in a given month. There is no separate platform fee from us. Optional monthly maintenance covers ongoing tone or catalog changes. It also includes monitoring and fixes, starts once included support ends, and can be cancelled in any month.
Will the descriptions actually sound like my brand?
Yes, because the engine learns from 10 to 20 reference examples you approve before any full-catalog run starts. You also review 25 sample outputs and get two rounds of changes, so tone is locked in before the pipeline scales to your whole product list.
Where do the finished descriptions get delivered?
To the single destination you choose during intake, such as your store, a CMS or a shared drive. This build covers one destination and up to three output formats. A second destination or format comes through a written Change Quote, priced before that extra work starts.
Does it write descriptions for products with no reference example?
Yes. Once it has learned your voice from the reference set you approved, it applies the same tone to new products on your list, not just the ones you supplied examples for. Anything genuinely ambiguous is flagged for your review rather than guessed.
What happens once the Product Description Engine's 30 days of support end?
You can move to monthly maintenance, which covers monitoring, fixes, updates and a monthly allowance of change hours. It is optional, bills monthly and can be cancelled in any month. Without it, the pipeline keeps running; you simply lose included changes.
Do I own the descriptions it generates?
Yes. Every description delivered to your destination is yours outright, to edit, publish or reuse however you like. The generation pipeline itself runs inside your own connected accounts, so nothing about ongoing output depends on us staying involved after the 30 days of support.
Guides on this topic
All guides Stop writing every product description by hand.
Order the AI Product Description Engine and your catalog gets consistent, on-brand draft copy, reviewed by you first, so every product page reads like one brand wrote it.
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