A competitor owns the answer
A shopper describes what they need and ChatGPT answers with three products. A competitor’s SKU is one of them, yours is not, and the list stops there.
AI Shopping Optimisation · Shopify
Shoppers ask AI what to buy.Be the answer.
We find which products AI recommends in your category, why yours is not one of them, and fix it on your Shopify store.
- Per product, not per brand
- We fix the store, not just report
- Your login, not our word for it
Problem
Somebody asked. A competitor got the order. Nobody told you.
A recommendation you did not get sends nobody to your store. Ask an assistant what to buy in your category and watch who it names. These four are where it happens.
Beaten by a missing fact
Assistants compare on the dimensions a buyer cares about: size, ingredients, compatibility, price. Where your product record says nothing, the comparison is settled without you.
Your name on a wrong answer
The assistant has you, but with last year’s price, an ingredient you reformulated out, or a variant you discontinued. Nothing in the answer marks which part of it is out of date.
Your reports start after the answer
Analytics begin at the session, and the answer happened before that. Nobody can say which of your SKUs were recommended last week, or which retailer an answer named instead of your store.
Solution
Who won, what your page left out, what we change, and what you read
We do not tune an algorithm, because there is not one to tune. We change your store instead, and what you read is not our summary of the answers. It is the answers.
We name the SKU that beat you
We record which products ChatGPT names on a prompt set agreed with you, how often each takes the top spot, and where yours placed. You get the competitor SKU, not a brand average.
We list the facts the answer wanted
We pull the dimensions the comparison ran on, the ones your record leaves blank, and the competitor page that answered instead. You get them ranked, as a list of edits rather than observations.
We fix it in Shopify
Variant options, barcodes, metafields, structured data and PDP copy, edited in your admin, with template work staged on a duplicate theme for your sign-off. Then we re-run the questions and read the answer back.
We show you the raw answers
You read the answers ChatGPT returned on your prompt set, and see which retailers an answer named in your category. Check any number we quote on the day we quote it.
Our system
Two stages, priced up front. Then a monthly re-run, only if you want it.
Nothing commits you to the next stage. Stop after the audit, keep the register, and take it to any agency you like, because it is written to be useful without us.
The audit
Stage 1A dated register of what a machine can and cannot read on your store today. A person reads it with you and says which findings matter and which are noise.
What you get$1,200 USD · 5 to 10 business days
- Every check dated, with the raw value read
- The rule applied, so you can re-run it
- Findings ranked by what they cost you
- A fixed scope for stage two, priced
Credited in full against any programme booked within 60 days.
Book the auditThe sprint
Stage 2Audits diagnose; sprints fix. Three weeks, scope agreed before we start. Everything ships on a dev theme with a diff you can review line by line before it goes live.
What you getfrom $2,900 USD · 3 weeks, fixed scope
- Shipped on a dev theme, never straight to live
- A reviewable diff for every change
- Re-run of the audit checks at the end
- No checkout logic, no app development
Scope and price agreed before we start. No retainer required.
Start with the auditMonitoring
OngoingThe prompt set does not stay answered. Products change, competitors publish, and models update. This is the monthly re-run, read by a person, with the movement explained.
What you get$750 USD · per month
- Your prompt set re-run and dated every month
- What moved per product, and who took the slot
- Your own login, so you can check any number yourself
- Month to month, no minimum term
Begins after an audit, so month one has a baseline to move from.
Start with the auditOur terms
The audit fee comes back if you go further
Book any programme within 60 days of the audit and the full $1,200 is credited against it. If you stop after the audit, you keep the register and owe nothing more.
What we do not guarantee: a ranking, a recommendation, or a placement in any assistant’s answer. Nobody controls those, and anyone selling you one is selling the promise rather than the work.
The difference
Before and after, in plain terms
- TodayNobody can say what an assistant reads on your storeAfterA dated register of exactly what each reader can see
- TodayFixes are guesses, and agency claims are unfalsifiableAfterEvery check re-runnable, so any claim can be tested
- TodayProduct records fail silently: no error, just no matchAfterRecords completed on the fields assistants match on
- TodayBot rules block AI crawlers and nobody reads the logsAfterCrawler access verified per bot, and re-verified after
- TodayQuotes arrive after a call, with the price withheldAfterPrices published in USD before you ever contact us
The work
Five things we do, and what each one costs.
01
AI Readiness Audit
A dated register of what a machine can and cannot read on your store. Every check shows the raw value read and the rule applied, and a person tells you which findings matter.
02
Structured Data & Entity
A JSON-LD graph generated from your typed content rather than hand-authored, so the markup and the page cannot disagree. This is the layer assistants parse first.
03
Technical SEO for Shopify
Crawler access, canonicals, sitemap hygiene and index control on Shopify’s own surfaces, so the readers you want can actually get in.
04
Answer-First Content
Product and collection copy that still makes sense when a model lifts one paragraph out on its own, because that is the unit an assistant quotes.
Why brands choose Ecompanda.
Every price is published
The audit is $1,200, the sprint is from $2,900, and monitoring is from $750 a month. In USD, on the page, before you ever talk to us.
001
Every finding is dated
Every finding shows the date checked, the raw value read and the rule applied. You can re-run any check yourself and get the same answer.
002
Fixed scope, stated exclusions
What a piece of work excludes is printed at the same size as what it includes. No checkout logic, no chatbots, and no ranking guarantees, ever.
003
On Shopify’s own surfaces
Product records, metafields, theme templates, structured data and crawler access: the layer every assistant reads, on the platform you already run.
004
The same work under every outcome
Clean product data and readable pages pay off whichever AI platform wins. None of this is a bet on one vendor’s roadmap.
005
Still have questions
Here is what we usually get asked before the audit.
What is AI shopping optimisation?
Making your store legible to the AI systems shoppers now ask for product recommendations: ChatGPT, Gemini, Copilot and the rest. In practice it is product-record completeness, structured data, crawler access and answer-shaped copy, the layer those systems read before they decide whether to mention you.
Can ChatGPT actually recommend my store?
Assistants recommend products they can read and match confidently. A store with complete records, valid structured data and open crawler access gives them that material. A store without it gets skipped or described wrongly. Nobody can guarantee a recommendation, and anyone who says otherwise is selling the guarantee, not the outcome.
What does the work actually involve?
Five things, each priced above. An audit of what machines can read on your store today. Then the fixes: structured data built from your real content, technical SEO on Shopify’s own surfaces, answer-first product copy, and a fixed-scope sprint that ships it all on a dev theme.
Do I need Shopify Plus?
No. The work applies to Shopify and Shopify Plus alike, because product records, structured data and crawler access behave the same on both. Plus stores get more room on checkout and performance, but nothing here depends on it.
How long does it take?
The audit takes five to ten business days. The implementation sprint is three weeks, fixed scope. Monitoring is monthly. Those are the published turnarounds, and they are the same ones printed on the pricing page.
What do you need from us to start?
Very little. The audit reads your storefront from the outside, the way an assistant does, so it can start without store access. The sprint needs a Shopify collaborator account and one person on your side who can approve the diff before anything ships. No meetings are required beyond scoping.
What does it cost?
The AI Readiness Audit is $1,200 USD. The Implementation Sprint is from $2,900 USD. Ongoing monitoring is from $750 a month. All prices are in USD, published before contact, and the audit fee is credited in full against any programme booked within 60 days.
Start here
Does an AI assistant recommend you?
$1,200 USD · 5 to 10 business days · credited in full against any programme within 60 days
AI Readiness Audit · $1,200 USD
Book the audit