Generative Engine Optimisation
When someone asks an assistant to recommend a supplier, it names a handful of businesses. Generative engine optimisation is the…
Explore serviceEcommerce GEO · Multilingual
Multilingual ecommerce GEO: product data that search engines, AI assistants and shoppers all read the same way
Ecommerce GEO, or generative engine optimisation, is the work of making a store's products understandable and citable by AI assistants such as ChatGPT, Gemini and Google AI Mode. In practice it means complete product data, structured data that matches the page, clear policies and expert buying content, published in every language the store sells in.
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At a glance
- United Kingdom
- United Arab Emirates
- Saudi Arabia
- Spain
- English
- Arabic
- Spanish
- Who it is for
- Shopify and WooCommerce brands selling in the UK, the Gulf and Spain, especially fashion, beauty, jewellery, home and speciality retail.
- What it does
- Rebuilds product data, structured data, category content, policies and multilingual architecture so assistants and search engines receive accurate product information.
- What it does not do
- It does not buy placement in AI answers, invent reviews or ratings, or publish machine-translated pages without native review.
- Platforms
- Shopify and Shopify Plus, WooCommerce, and headless builds where the catalogue needs it.
- Languages
- English, Arabic and Spanish now, with German and French when genuinely localised content is ready.
- Typical timeline
- Four weeks for an audit and priority fixes; eight to sixteen weeks for a full multilingual rebuild.
Shoppers now ask AI assistants what to buy: which abaya brands ship to Riyadh in two days, which retinol serum suits sensitive skin, which running shoe works for flat feet. The assistant answers from whatever product information it can find and trust. If your product pages are thin, inconsistent between languages or missing delivery and returns facts, the assistant recommends someone else, or describes your products wrongly.
Ecommerce GEO is not a trick for getting into ChatGPT. It is the work of making your catalogue the clearest, most accurate source on the web for your own products.
What is generative engine optimisation for ecommerce?
Generative engine optimisation for ecommerce is the practice of structuring a store’s product data, content and policies so AI assistants can understand, trust and cite them. It builds on technical SEO and adds a focus on complete, consistent facts that can be quoted accurately without the rest of the page.
What does an AI assistant need from a product page?
An assistant needs the same facts a careful shopper needs, stated clearly and consistently across the page, the structured data and the product feed.
- Product name, brand, model and the key specifications.
- Variants such as size, colour and material, each with its own availability.
- Price and currency for each market, with any delivery charges made clear.
- Delivery times and costs per country, and the returns policy.
- Comparisons with similar products, and who the product is and is not for.
- Questions buyers actually ask, answered by someone who knows the product.
- Claims backed by a source, such as certifications or test results.
Why rebuild instead of adding a plug-in?
Most AI visibility problems in ecommerce start in the catalogue and the templates: missing attributes, variants without their own data, structured data that disagrees with the page, and translated stores where prices and policies differ by language. A plug-in can report these problems, but fixing them means changing the data model, the templates and the content. We do that work as one team: Shopify development, technical SEO and GEO together.
How do you sell in Arabic and Spanish without duplicate content problems?
Each language gets a genuine storefront: native-reviewed product copy, local currency and delivery information, right-to-left layout for Arabic, and correct hreflang so search engines show each shopper the right version. Machine translation can draft copy, but every product page is reviewed by a native speaker before it is published.
How do you measure visibility in AI assistants?
We agree a fixed set of buyer questions per market and language, then check each month whether assistants mention your brand, which pages they cite and whether what they say is accurate. Alongside that we track search visibility, product feed health and revenue from organic and AI referrals. Keeping the question set fixed is what makes the trend meaningful.
What does ecommerce GEO cost?
Ecommerce GEO typically starts with an AI visibility audit from £595, followed by priority fixes from £2,500. A full multilingual Shopify rebuild with GEO usually costs £12,000 to £45,000, and ongoing GEO and content work starts at £950 a month. Cost depends on catalogue size, number of languages and markets, the platform and how much expert content is needed.
Illustrative scenario: a modest-fashion brand selling in the UK and the Gulf
This is a composite example, not a client story. A Shopify brand sells in English to the UK and in Arabic to Saudi Arabia and the UAE. Product pages share one description across variants, Arabic pages are machine-translated, and delivery times differ between the page and the feed. The project rebuilds variant data, adds sizing and fabric guides, publishes native-reviewed Arabic storefronts with local currencies, and fixes structured data on every template. The brand then tracks assistant answers to twenty fixed buyer questions per language each month.
Next step
Start with an AI visibility audit of your store. You receive a ranked list of what assistants get wrong about your products and what to fix first.
How it works
How a product becomes something an AI assistant can recommend
Every step is written down, tested before launch and reviewed every month. A person can take over at any point.
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Audit
We test how search engines and AI assistants currently describe your brand, products and policies, and where they are wrong.
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Product data
Names, brands, specifications, variants, availability, prices, currencies, delivery and returns are completed and made consistent.
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Structured data
Product, offer, review and organisation markup that matches what the page shows, validated on every template.
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Buying content
Comparisons, sizing and materials guides, care instructions and FAQs written by people who know the products.
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Languages and markets
English, Arabic and Spanish storefronts with native-reviewed copy, local currencies and correct hreflang.
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Measure
Assistant citations, search visibility, product feed health and revenue from organic and AI referrals, reported monthly.
How we help
What we build for ecommerce in AI search
AI visibility audit
What assistants say about your brand and products today, where it is wrong, and what to fix first.
Product data rebuild
Complete attributes, variants, availability, prices, delivery and returns, consistent across page, markup and feed.
Validated structured data
Product, offer and organisation markup that matches the page, tested on every template.
Expert buying content
Comparisons, sizing and materials guides and FAQs written with your product experts.
Multilingual storefronts
English, Arabic and Spanish stores with native-reviewed copy, local currencies and correct hreflang.
Monthly AI and search reporting
A fixed buyer question set tracked across assistants, with citations, accuracy and revenue.
Process
How the project runs
Fixed scope before build, a named engineer throughout, and nothing goes live until you have signed it off.
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01 Weeks 1–2
Audit
We test assistants and search engines with a fixed question set and audit catalogue, templates and feeds.
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02 Week 3
Plan
We rank fixes by revenue impact and agree the data model, templates and content plan.
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03 Weeks 4–12
Build
We rebuild product data and templates, structured data and multilingual storefronts.
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04 Weeks 6–14
Content
We publish buying guides, comparisons and FAQs with native review in each language.
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05 Monthly
Measure and improve
We track assistant citations, accuracy, visibility and revenue against the baseline.
Pricing
What it typically costs: Ecommerce in AI search
Typical ranges from comparable scopes, not a quote. You get a fixed price in writing after a free scoping call.
| Scope | UK (GBP) | US (USD) | Saudi and Gulf (SAR) | What it covers |
|---|---|---|---|---|
| AI visibility audit | £595–£1,500 | $760–$1,900 | SAR 2,900–7,200 | Fixed buyer question set, assistant and search testing, catalogue and template review, ranked fixes. |
| Priority GEO fixes | £2,500–£8,000 | $3,200–$10,200 | SAR 12,000–38,500 | Structured data, product data gaps, policies and key category content on your current store. |
| Multilingual Shopify rebuild with GEO | £12,000–£45,000 | $15,200–$57,000 | SAR 58,000–216,000 | New data model and templates, English, Arabic and Spanish storefronts, validated markup and content. |
| Ongoing GEO and content | £950–£3,500 per month | $1,200–$4,450 per month | SAR 4,600–16,800 per month | Monthly content, fixes, assistant tracking and reporting. |
Compare the options
How this compares with the alternatives
The same criteria for every option, including the ones that cost less.
| What matters | Standard ecommerce SEO | AI visibility tool or plug-in | Build plus GEO (our approach) |
|---|---|---|---|
| Fixes the product data itself | Partly | No, it reports on it | Yes, at the catalogue and template level |
| Structured data matches the page | Often templated and incomplete | Adds markup, sometimes unverified | Validated on every template |
| Multilingual architecture | Usually out of scope | Out of scope | Native-reviewed storefronts with correct hreflang |
| Policies and delivery facts | Rarely addressed | Not addressed | Clear, consistent and machine-readable |
| Expert buying content | Generic blog posts | Not addressed | Comparisons, guides and FAQs by product experts |
| Measured in AI assistants | No | Partly | Yes, with a fixed question set tracked monthly |
Compliance
Regulation we design around
General guidance, not legal advice. Your own compliance lead or adviser confirms what applies to your organisation.
Accurate product claims
Health, beauty and performance claims are published only with a source, and structured data never claims more than the page shows.
Price transparency
Total prices, delivery charges and currencies are shown clearly in each market, in line with UK, Gulf and Spanish consumer rules. Your adviser confirms market-specific requirements.
Reviews and ratings
Only genuine customer reviews are marked up. We never create or import reviews that cannot be verified.
Data protection
Customer data is handled under UK GDPR, the Saudi PDPL, the UAE data protection law and EU GDPR as applicable, with consent-aware analytics.
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Questions
Ecommerce in AI search: your questions
The things clients actually want to know — costs, timelines, ownership and what happens after launch.
Still not sure?
Ask us anything on a free 30-minute call. No pitch, no obligation.
It is structuring a store's product data, content and policies so AI assistants can understand, trust and cite them. It builds on technical SEO with a focus on complete, consistent, quotable facts.
There is no paid placement. Publish complete, consistent product facts, policies and expert buying content, keep structured data accurate, and make sure AI search crawlers can reach your store.
It builds on SEO. Rankings still matter, but GEO adds attention to whether every fact can be quoted accurately on its own and is consistent across page, markup and feed.
Not always. Many stores need priority fixes to data, templates and content. A rebuild makes sense when the data model or multilingual setup cannot support accurate product information.
Yes, with right-to-left layout, Arabic typography, local currencies and native-reviewed product copy, alongside English and Spanish storefronts.
Blocking search crawlers such as OAI-SearchBot removes your store from AI search answers. Many brands allow search crawlers while setting a separate policy for model-training crawlers.
No. Structured data helps machines read facts that are already on the page. It must match the visible content and does not replace complete product information.
With a fixed set of buyer questions per market and language, checked monthly for brand mentions, cited pages and accuracy, alongside search visibility and revenue.
An audit costs £595 to £1,500, priority fixes £2,500 to £8,000, a multilingual rebuild £12,000 to £45,000, and ongoing work from £950 a month.
Search and assistant changes usually appear over two to four months after fixes go live, depending on crawl frequency and competition.
Primary sources
The regulators and platform policies referred to on this page. Check them for the current wording before you rely on any summary, including ours.
- Google Search Central: product structured data (opens in a new tab) developers.google.com
- Schema.org Product type (opens in a new tab) schema.org
- Google Search Central: AI features and your website (opens in a new tab) developers.google.com
- OpenAI: overview of OpenAI crawlers (opens in a new tab) platform.openai.com