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Day 17 of 20 Β· AI for E-commerce

Selling Internationally with AI

Most e-commerce sellers leave money on the table by selling in only one market. A product doing well in the UK could do equally well in the US, Germany, or Japan β€” but the barrier has always been language, localisation, and understanding foreign markets.

AI demolishes that barrier. Today you'll learn how to adapt your listings for international markets in minutes, not weeks β€” and why cultural adaptation matters far more than simple translation.

Translation is not localisation

Here's the mistake almost everyone makes: they run their English listing through Google Translate, paste it into the German marketplace, and wonder why it doesn't sell.

Translation changes the words. Localisation changes the meaning, tone, context, and cultural relevance. They're completely different things.

Consider selling a "cozy fleece throw blanket" in different markets:

- UK: "Cosy Fleece Throw Blanket" (note the spelling β€” "cosy" not "cozy")

- US: "Cozy Fleece Throw Blanket β€” Perfect for Movie Night"

- Germany: "Kuschelige Fleecedecke β€” Weich & Warm fur Sofa und Couch" (Germans search for specific use cases and materials)

- France: "Plaid Polaire Doux β€” Couverture Canape Chaude et Legere" (French shoppers prioritise elegance and lightness)

Same product. Completely different listings. AI understands these nuances because it's been trained on billions of words from each culture. It doesn't just translate β€” it adapts.

Knowledge Check
What is the key difference between translation and localisation?
A
Localisation is a more expensive version of translation
B
Translation changes the words while localisation adapts the meaning, tone, and cultural context
C
Translation is for websites, localisation is for products
D
There is no meaningful difference between the two
Translation converts words from one language to another. Localisation goes much deeper β€” it adapts the entire message for the target culture, including spelling conventions, search behaviour, cultural references, and what benefits resonate with that specific audience. AI handles both simultaneously.

Market-specific keywords

Keywords that work in the UK won't necessarily work in the US, even though both markets speak English. And for non-English markets, keyword research is a completely different exercise.

UK vs US English examples:

- UK: "cling film" β†’ US: "plastic wrap"

- UK: "biscuit tin" β†’ US: "cookie jar"

- UK: "torch" β†’ US: "flashlight"

- UK: "garden furniture" β†’ US: "patio furniture"

If you're selling a "torch" on Amazon US, you'll get zero search traffic. Americans don't use that word.

For non-English markets, AI can research which search terms local shoppers actually use β€” not just the literal translation of your English keywords. Ask AI: "What keywords do German shoppers use when searching for this product on Amazon.de?" and you'll get market-specific terms that a simple translation would miss entirely.

World map showing the same product listing adapted for UK, US, German, and French markets with different keywords and descriptions
The same product needs different keywords, descriptions, and cultural framing for each international market.
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ChatGPT
online
I sell a stainless steel insulated water bottle on Amazon UK. The listing performs well. I want to expand to Amazon US (amazon.com) and Amazon Germany (amazon.de). For each market, give me: an adapted title, the top 5 keywords local shoppers would search, and 2 cultural differences I should know about that would affect how I write the listing.
Here's your listing adapted for each market: **Amazon US (amazon.com)** Title: Insulated Stainless Steel Water Bottle 25oz β€” Keeps Drinks Cold 24hrs / Hot 12hrs, Leak-Proof, BPA-Free, Double-Wall Vacuum Flask for Gym & Travel Top 5 keywords: 1. insulated water bottle 2. stainless steel water bottle 25 oz 3. vacuum insulated flask 4. leak proof water bottle for gym 5. cold water bottle 24 hours Cultural notes: - US shoppers expect measurements in ounces, not millilitres. 750ml = 25oz. Always lead with oz. - American listings tend to be more feature-dense and comparison-driven. Include phrases like "Unlike cheap plastic bottles..." β€” US shoppers respond to competitive positioning. **Amazon Germany (amazon.de)** Title: Edelstahl Trinkflasche 750ml β€” Thermosflasche 24 Std Kalt / 12 Std Warm, Auslaufsicher, BPA-Frei, Isolierte Wasserflasche fur Sport & Buro Top 5 keywords: 1. Trinkflasche Edelstahl 2. Thermosflasche 750ml 3. isolierte Wasserflasche 4. auslaufsichere Trinkflasche 5. Trinkflasche BPA frei Cultural notes: - German shoppers are extremely detail-oriented. They want exact specifications β€” material thickness, insulation technology, certifications. Vague claims like "high quality" don't work. Be precise: "18/8 food-grade stainless steel, double-wall vacuum insulation." - Environmental credentials matter significantly in Germany. Highlight reusability, recyclability, and any eco-certifications prominently. This can be a deciding factor. Want me to write the full bullet points and descriptions for either market?
↻ Replay conversation
Knowledge Check
Why might the same product listing that works in the UK fail on Amazon US?
A
US shoppers don't buy from UK sellers
B
The US marketplace has too much competition for any product to succeed
C
US Amazon has stricter listing requirements
D
Different spelling, terminology, measurement units, and cultural expectations affect search visibility and conversion
Even between two English-speaking markets, differences in spelling (colour/color), terminology (torch/flashlight), units (ml/oz), and buyer psychology mean a direct copy-paste listing will underperform. AI adapts all of these nuances automatically.

Multi-currency pricing strategy

Pricing across markets isn't as simple as currency conversion. AI can help you build a pricing strategy that accounts for local purchasing power, competitor pricing, and marketplace fees.

Key principles:

Don't just convert. A product selling for Β£19.99 in the UK doesn't automatically become $24.99 in the US. Check what competitors charge locally. In some markets you can charge more; in others, less.

Account for different fee structures. Amazon US, Amazon DE, and Amazon UK all have different referral fees, FBA fees, and advertising costs. AI can calculate your true margin in each market.

Use psychological pricing for each locale. In the UK and US, prices ending in .99 work well. In Germany, round numbers or .95 endings are more common. In Japan, pricing psychology is completely different. AI knows these conventions.

Test pricing independently per market. Your optimal price in each market may be quite different. Don't assume what works in the UK transfers everywhere.

Your international expansion checklist

Ready to go global? Here's your AI-powered expansion plan:

Step 1: Ask AI to analyse which international markets have the highest demand for your product category with the lowest competition.

Step 2: Have AI localise your listing β€” not just translate, but fully adapt the title, bullets, description, and keywords for each market.

Step 3: Get AI to research local pricing, competitor analysis, and fee structures for each target marketplace.

Step 4: Ask AI to flag any regulatory or compliance differences β€” labelling requirements, certifications, or restricted claims that vary by country.

Step 5: Launch with your best-performing listing structure from your home market, adapted for local preferences, and begin the A/B testing cycle in each new market.

The sellers who expand internationally with properly localised listings gain a massive advantage over those who simply copy-paste translated content. AI makes proper localisation accessible to everyone β€” not just brands with six-figure translation budgets.

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Day 17 Complete
"International expansion used to require translators, local market experts, and months of research. AI handles localisation, market-specific keywords, and cultural adaptation in minutes β€” opening global markets to every seller."
Tomorrow β€” Day 18
Building Your Store Content
Tomorrow you'll build all the store content you've been putting off β€” About Us, FAQ, policies β€” in one session.
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1 day streak!