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 SEO
Product titles, descriptions and schema rewritten for search, so shoppers actually find the listings you already have.
Good products stay invisible when their titles and descriptions do not match what shoppers type into search. This build rewrites your existing product titles, descriptions and structured data around the terms real shoppers use, in your brand voice, and generates clean schema markup. Every change is approved by you before it reaches your store, so nothing goes live by surprise.
- Titles and descriptions rewritten around real shopper searches
- Clean schema markup generated for your product pages
- Every change approved by you before it goes live
$2,700
20–30 working days
Optional maintenance $249/mo
What it is
AI Product SEO rewrites your existing product titles, descriptions and structured data for search, targeting the terms real shoppers use and generating clean schema markup instead of leaving pages invisible to search engines. Output goes to the single destination you choose. Every change is reviewed before it reaches your store.
Why businesses buy it
Organic search is one of the most valuable sources of buyers an online store has, because you do not pay for each click. But product pages written for internal use rarely rank. Rewriting hundreds of listings with search in mind is slow, specialist work. This build does it consistently, in your voice, without inventing claims. The written scope sets out what is rewritten, how changes are approved and where the output is delivered before you order.
Problems this solves
Product pages use internal names shoppers never search for
AI Product SEO rewrites titles and descriptions around the terms real shoppers use. Pages can match the words people type rather than your internal product codes.
Product pages lack structured data for search engines
The engine generates clean schema markup for each product. Search engines get clear product details such as brand and availability, which can help pages appear with richer results.
SEO edits risk changing copy your brand team approved
Every change is reviewed before it reaches your store. Rewrites follow your brand profile and up to 20 reference examples, delivered to the one destination you choose.
A good fit if
Your product pages already exist, but titles and descriptions were written for tone, not for what shoppers actually search.
You suspect missing or incorrect schema markup is keeping your listings out of rich results and shopping feeds.
You can name the product or topic list to start with, and who approves the rewritten copy before it goes live.
You want rewritten titles, descriptions and schema delivered to one destination for your team to review and publish.
Not the right fit if
You do not have product descriptions yet and need them written from scratch, not optimized. See AI Product Description Engine built for first-draft catalog copy.
Your real problem is duplicate, missing or inconsistent product attributes, not search visibility. See AI Catalog Optimization, which finds and reports structural catalog issues.
You need the listings adapted specifically for Amazon's own search algorithm and style rules. See AI Amazon Listing Optimization built around Amazon's requirements.
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, the product or topic list to start with, and access to the destination for finished output.
- The engine researches the terms real shoppers use for each product, weighed against your existing titles and descriptions.
- It drafts rewritten titles, meta descriptions and structured data in up to 3 output formats, matched to your 10 to 20 reference examples for tone.
- 25 sample outputs are reviewed and approved by you before the full run, so nothing goes live without a check.
- Approved rewrites and schema markup are delivered to the single destination you chose, ready for your team to publish.
- Anything genuinely ambiguous, such as a product that fits two categories, is flagged rather than 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.
- Your brand guidelines and tone-of-voice examples, so rewritten copy still sounds like you.
- Ten to twenty reference examples of titles or descriptions you already like the tone of.
- Access to the destination for the finished output, whether that is your store, a CMS or a shared drive.
- The product or topic list you want optimized 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, product list and destination confirmed.
Weeks 1–2
Search-term research and the generation pipeline built.
Week 3
Destination connection configured and 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, written handover report, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $2,700 |
| Express | 15–25 working days | $3,250 |
| Rush | 10–20 working days | $3,800 |
What you receive at handover
- AI Product SEO configured and deployed, delivering to one destination
- Your brand profile with up to 20 reference examples
- Workflow, prompt and guardrail configuration for titles, descriptions and schema markup
- A test report on 25 sample rewrites you reviewed and approved
- An admin guide and the written handover report
- 30 days of post-launch support
Expected benefits and how to measure them
- Can help product pages show up for the searches shoppers actually make.
- Helps search engines understand your products through clean structured data.
- Organic clicks to product pages
- Compare Google Search Console clicks for rewritten pages over eight weeks before and eight weeks after.
- Search impressions
- Use Search Console to compare impressions for the same pages over the same periods.
- Valid product structured data
- Check the Search Console enhancements report for product items before and after publishing.
Before you start: Export Search Console clicks and impressions for your product pages. Note how many pages currently show structured data errors.
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 listings you rewrite in a given month.
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, such as a Google Merchant feed alongside your store, beyond the Scope Card? Add a note at checkout and we return a written Change Quote before that work 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 fresh keyword pass 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 SEO plugin charges a monthly license for suggestions you still write yourself | An SEO agency quotes a retainer per month | Ours is one fixed price, shown before you buy |
| Scope | A plugin flags issues but leaves the rewriting to you | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Schema markup | Most plugins generate generic schema, not product-specific | An agency build depends on what was agreed | Ours writes structured data matched to each product |
| Delivery | A plugin installs in a day but the writing work remains | An agency retainer usually runs monthly, ongoing | Ours has a fixed delivery time shown before you buy, with faster options |
| Review step | Most plugins auto-apply suggestions with no 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 SEO build 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 AI Product SEO cost to run each month?
Typically $20 to $150 a month in AI model usage, depending on how many listings you rewrite in a given month. There is no separate platform fee from us. Optional monthly maintenance covers ongoing keyword or catalog changes. It also includes monitoring and fixes, starts once included support ends, and can be cancelled in any month.
Will it change my product titles without asking me?
No. 25 sample outputs are reviewed and approved by you before the full catalog runs, and you get two rounds of changes on top of that. Nothing goes live to your store or feed until the destination delivery you approved.
Does it write the schema markup too, not just the copy?
Yes. Structured data is part of the up to 3 output formats in this build, generated alongside the rewritten titles and descriptions, so search engines and shopping feeds get consistent, product-specific markup rather than a generic template copied across every page. It is reviewed in the same 25-sample batch as the copy.
Can it work on my whole catalog, not just new listings?
Yes. You give us the product or topic list to start with during intake, and it can cover your existing catalog rather than only new additions. A catalog beyond what fits the review and delivery timeline is scoped with you before the build starts.
What happens once AI Product SEO'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 rewritten listings it produces?
Yes. Every title, description and schema record delivered to your destination is yours outright, to edit, publish or reuse however you like, on this listing or any other. Nothing about ongoing use depends on us staying involved after the 30 days of support end.
Guides on this topic
All guides Make the listings you already have easier to find.
Order AI Product SEO and your titles, descriptions and schema are rewritten for search and reviewed with you first, so the products you already stock get found by more shoppers.
Works well with
Catalog
AI Shopping Channel Setup
Fix the product feeds, schema and settings that ChatGPT, Google AI Mode, Microsoft Copilot and Perplexity use for shopping answers, then measure…
Catalog
AI Product Description Engine for Adobe Commerce
Writes on-brand product descriptions at catalog scale, connected natively to Adobe Commerce so it reads and updates catalog products, attributes and categories.
Catalog
AI Product Description Engine for BigCommerce
Writes on-brand product descriptions at catalog scale, connected natively to BigCommerce so it reads and updates catalog products, variants and categories.