What Should You Ask Your Ecommerce Agency About AI?
Most ecommerce agencies now use AI somewhere in their work, from writing code and copy to reviewing site data. The useful question for a merchant is no longer whether the agency uses AI, but whether that AI makes the agency find more, ship more and prove more. This checklist gives store owners and ecommerce leads the questions to ask an ecommerce agency about AI, before hiring one or at the next renewal.
Ask your ecommerce agency about AI in five areas: what it finds that nobody reported, who reviews and approves each change, how it measures results in orders and revenue, how AI changes what you pay for, and who owns the code and data. Good answers name people, a process and numbers.
- Ask about five areas: detection, approval, measurement, billing and ownership.
- Good answers have a name, a process and a number. Vague answers are the red flag.
- AI should show up as more shipped, measured work for the same relationship, not a black box.
- Ask before you sign and again at every renewal, because agency AI practices change fast.
This post is the buyer checklist. If the worry is whether agency AI is safe at all, start with should you worry if your ecommerce agency uses AI. For the agency side of the model, see what an AI-native ecommerce agency is.
What are the five areas to ask an ecommerce agency about AI?
The five areas map to the stages every piece of agency work passes through: something gets found, someone approves it, it ships, it gets measured, and someone pays for it. AI can speed up every stage, so each stage needs its own question. An agency that answers well in all five is using AI with discipline.
What questions should you ask your ecommerce agency about AI?
Use the fifteen questions below in a pitch meeting, a renewal call or a quarterly business review. Ask for specific answers about your own store, not a description of the agency's general approach.
Detection: What does your agency find that nobody reported?
- What did you find on my store last month that nobody on my team asked you to look at?
- How do you learn about checkout errors, slow pages and accessibility gaps before a customer complains?
- Which pages and journeys do you check every week, and which only when asked?
Approval: Who reviews and approves each AI-drafted change?
- Who, by name, approves a change before it reaches my live store?
- Can anything you build go live without my sign-off?
- How do I see a change before it ships, and how fast can it be rolled back?
Measurement: How do you measure results in orders and revenue?
- For each change you shipped last quarter, what happened to conversion or revenue on the pages it touched?
- Do you test changes against a control, or compare before and after?
- What will you report to me every month, and in what units?
Billing: How does AI change what I pay for?
- If AI cuts the time a task takes, do I get more shipped work, a lower bill, or neither?
- Are you billing me for hours, a retainer, a productized package or outcomes?
- What will you ship in the next 90 days for the same fee?
Ownership: Who owns the code, the data and the accounts?
- Does every AI-drafted change go through my repository as a pull request I can see?
- Which AI tools see my store's data, and what does each one keep?
- If we part ways, what do I keep: code, test history, reports and tool access?
Why ask what the agency finds without being told?
Most agency work starts with a request from the merchant, which means the agency only works on problems someone has already noticed. Over 90% of website errors are never reported, so a request-only relationship misses most of what is quietly costing orders. The detection questions show whether the agency, or the AI it uses, is looking at real shopper sessions on its own.
Strong answers point to a weekly source of findings: errors tied to revenue, slow page groups, product pages that get views but no add-to-carts, and accessibility gaps on high-traffic pages. When a finding needs engineering, ask to see the ticket; how to write a dev ticket an agency will act on shows what a good one contains.
What do good and weak answers sound like?
The table below shows the difference for each area. Use it to score each answer as you hear it.
| Area | Strong answer | Weak answer |
|---|---|---|
| Detection | We review your sessions, errors and speed every week and bring you a ranked list. | We fix whatever you send us. |
| Approval | A named developer reviews every pull request, and you approve before it merges. | Our AI handles that automatically. |
| Measurement | Each shipped change has a before and after on conversion or revenue for the pages it touched. | Things look better overall. |
| Billing | AI frees time, so the same retainer now covers more shipped changes, listed monthly. | Pricing is unchanged; AI is just how we work. |
| Ownership | Every change lands in your repository, and you keep the code, tests and reports if we part ways. | It lives in our tools. |
How should AI change what you pay an ecommerce agency?
AI lowers the time many tasks take, so the honest question is where that saved time goes. For most merchants the best outcome is more shipped and measured work inside the same relationship, rather than a smaller one. Ask the agency to list what it will ship in the next 90 days, then compare that list at the end of the quarter. The agency side of this decision is covered in how an ecommerce agency should price AI-powered work.
Results should be reported in orders and revenue, not hours. How agencies prove the ROI of AI work explains what a good monthly report looks like, and how to know if a website change actually improved conversion shows how to check the numbers yourself.
Who should own the code and data when an agency uses AI?
The merchant should. AI-drafted changes should arrive as pull requests in the store's own repository, so every change has a history, a reviewer and a way back. If the agency owns the repository today, how to connect AI agents to GitHub when you do not own the repo covers the options. Ask which AI tools see store data and what each keeps, and write the answer into the contract.
How does Noibu work with an ecommerce agency?
Noibu gives the merchant and the agency one shared source of findings and one approval step. Noibu's six AI agents each run the same loop: find, build, your approval, ship, measure. The CRO agent finds underperforming product pages and rewrites them, and the team reviews the changes, makes inline edits and publishes to Shopify in one click. The Bug Resolution agent traces top issues to the root cause in the codebase and creates a pull request for review, and the A/B Testing agent builds and runs experiments and reports the winning variant.
Nothing ships without approval, so the agency stays the reviewer and the merchant keeps the final say. The agents work in the Noibu console and in the AI tools teams already use, such as Claude, ChatGPT, Microsoft Copilot, GitHub Copilot and OpenAI Codex, which makes the five areas in this checklist visible to both sides. To see what the agents would find on your own store first, start with the free website audit.
Noibu is AI for ecommerce operations, the always-on optimization system that keeps online stores running at their best. A team of supervised AI agents finds what's broken, slow, or leaking revenue, does the work, and hands results back for human approval. Trusted by retailers like Free People, Guess, Liquid I.V., and Ariat.
Frequently asked questions
When should I ask my ecommerce agency these AI questions?
Ask them before you sign with a new agency and again at each renewal or quarterly review. The answers change quickly as agencies adopt AI, so a yearly check is too slow for most stores.
What is a red flag in an agency's answer about AI?
A red flag is any answer without a name, a process or a number. If the agency cannot say who approves AI-drafted changes, how a change is rolled back, or what last month's shipped work did to orders, the AI work is not under control yet.
Should my agency use the same AI tools as my in-house team?
It helps when both sides see the same findings. When the agency and the store team work from one source of issues, conversion data and test results, nobody argues about whose numbers are right and the review step is faster.
Do I need to understand AI to ask these questions?
No. Every question in the checklist asks about outcomes and accountability, not models or prompts. A merchant who can read a monthly report can judge whether the answers are specific enough.
How does Noibu fit into an agency relationship?
Noibu's AI agents find what is broken, slow or leaking revenue and draft the work, the agency reviews and ships it, and the merchant approves what goes live. Nothing ships without approval, so the agency stays the reviewer and the merchant keeps the final say.
