SEO for E-Commerce — organic revenue instead of ads dependency
We turn your shop into a channel that delivers orders without click costs. Clean category and product SEO, technically robust, with answers to marketplaces, Temu/Shein and AI search.
The German e-commerce market 2025/2026
The market is growing again — but the distribution is shifting aggressively. Anyone not organically visible now loses share.
- German e-commerce goods revenue 2025 (bevh)
- €83.1 bn
- Growth 2025 vs prior year (2026 forecast: +3.8 %)
- +3.2 %
- Share of online marketplaces in total e-commerce
- 56 %
- Growth of Temu / Shein / AliExpress in 2025
- +27.2 %
Your reality as a shop operator
We know the bottlenecks that slow a shop down — even when the product is great.
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Ad costs rise — margins thin out
CPC on Google and Meta climbs year after year. Buying revenue only via paid becomes dependent and unprofitable.
- ROAS drops, even though the product is just as good
- iOS and cookie-tracking restrictions hurt optimization
- Organic share of revenue under 20 %
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Duplicate content eats rankings
Product variants, filter URLs and manufacturer texts create thousands of near-identical pages. Google spends crawl budget on worthless material.
- Faceted navigation creates URL explosion
- Manufacturer descriptions sit in 50 other shops
- Pagination and sort parameters get indexed
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Marketplace & Temu pressure
Amazon, eBay, OTTO catch the buying intent — Temu and Shein win the price war. Own shop must score differently.
- Make brand world, service, advice visible
- Trust signals (reviews, Trusted Shops, terms)
- Own content marketplaces can't provide
Our services for online shops
Technically clean, content-rich, conversion-driven — tailored to your shop system.
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Technical shop SEO
Indexing strategy, canonical architecture, facet handling, Core Web Vitals, Schema.org for Product/Offer/Review, JS rendering checks. We make the shop crawlable AND performant.
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Category & product content
We write category texts that actually rank (not 'SEO filler' at the page bottom) and product descriptions that surface USPs — scalable for 5,000+ SKU catalogs.
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Long-tail & informational search
Guide and comparison content that catches buying research: 'X vs. Y', 'best Z for [use case]', 'how to choose…'. We link into categories and products — capturing the funnel at the source.
AI visibility (GEO) for shops
ChatGPT, Perplexity & Google AI Mode increasingly answer product questions — and recommend specific shops. A new market is being decided right now.
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Product recommendations in ChatGPT
Users ask: 'Which espresso maker for induction under 60 euros?'. Whoever gets cited wins trust before the first click.
- Structured product data (Product, Offer, AggregateRating)
- Comparison and buyer's guide content
- Clear specs, use cases, pros/cons
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Google AI Mode & AI Overviews
On product queries Google blends in AI answers — often with shop links as sources. Being there means qualified traffic.
- FAQ schema and Q&A directly in the shop
- Transparent specs, availability, delivery time
- Reviews with real schema data
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Fact hygiene for LLMs
We set up llms.txt, JSON-LD and consistent product data — so AI systems cite your shop as a reliable source instead of hallucinating.
- llms.txt with brand facts and product categories
- Consistent data across shop, Google Shopping, feeds
- Authority via test reports, press, awards
How we work with e-commerce brands
Technically deep — but anchored in your revenue logic.
Phase 2 — Architecture & quick wins: We clean up canonicals, robots, sitemaps, facets and pagination. Technical fixes alone often lift 15–30 % more organic traffic within 8 weeks — without any new content.
Phase 3 — Scaled content: Category texts, product USPs, guides and comparison content — scalable through clear templates so even a 10,000-SKU shop stays maintainable.
Typical project timeline
Realistically planned — shop SEO is not a 4-week sprint.
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Phase 1 — Audit, data, strategy
Month 1
Technical crawl audit, keyword and competitor analysis, catalog-to-intent mapping, GA4/Search Console setup check, quick-win list.
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Phase 2 — Technical clean-up
Month 1–3
Canonical architecture, facet handling, Schema.org markup, Core Web Vitals, internal linking, sitemap hygiene, JS rendering optimization.
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Phase 3 — Content build-out
Month 2–6
Top categories and top products first, then guide clusters for pre-buying topics. Templates for scalable product and variant copy.
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Phase 4 — Iteratively scale
from month 4 / ongoing
Monthly reviews with revenue, traffic and rankings trends. New categories, seasonal landing pages, link building, growing AI visibility.
We work with every shop setup
Every shop system has its own SEO pitfalls. We know them.
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Shopify & Shopify Plus
Duplicate product URLs via collections, theme performance, headless setups.
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Shopware 6
Automatic filter indexing, CMS layouts, variant structure, multi sales channel.
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WooCommerce
WordPress plugin sprawl, performance, attribute architecture.
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JTL-Shop
Mittelstand favorite — Wawi integration, variant combinations, search paths.
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Magento / Adobe Commerce
Wholesale, B2B, multi-tenant, classic and headless.
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Headless / Composable Commerce
Astro, Next.js, Hydrogen — we know rendering and indexing behavior.
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Fashion & Lifestyle
Seasonality, size/color variants, look books, influencer integration.
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Industrial & B2B shops
Spare parts, data sheets, customer pricing, long buying centers.
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Food & Beverage
Fresh-goods logistics, subscriptions, regional delivery, health claims.
Frequently asked questions from e-commerce teams
- Exactly because of that. Online marketplaces (Amazon, eBay, OTTO) grew 4.9 % in 2025, but margins there are thin due to fees and competition. Anyone capturing organic direct traffic to their own shop sells at full margin, owns the customer data, and is not dependent on a platform. That is the second leg we build.
- Yes. We regularly work with Shopify (incl. headless), Shopware 6, WooCommerce, JTL and Magento/Adobe Commerce. Each system has its own SEO pitfalls — Shopify, e.g. duplicate product URLs via collections; Shopware, auto-generated filter URLs. We know the traps per system.
- Three levers: 1. Clean canonical tags (filters point to the category). 2. Unique content per variant instead of the same manufacturer text 20 times. 3. For very large catalogs: JS-based filtering so filter combinations don't create their own URLs. Which lever fits depends on catalog size and shop system.
- Asian platforms are growing fast (+27.2 % in 2025), but they lose on trust, advice, service, fast delivery and brand world. We position your shop on exactly those: E-E-A-T signals, transparent brand content, German sources, service promises discounters can't make.
- Both. Product and category pages capture buying intent (transactional), guide content captures pre-buying research (informational). Going only product-SEO leaves 70 % of search demand in your niche on the table. We build both funnel stages — and link them sensibly.
- Technical quick wins (indexing bugs, broken canonicals, missing Schema.org) typically show in 4–8 weeks. Content and category build-out works over 3–6 months. In a hard niche, plan 6–12 months for stable top positions. You get monthly reports with click, revenue and rankings trends.
Does shop SEO still pay off when 56 % of e-commerce runs through marketplaces?
We use Shopify/Shopware/WooCommerce — do you know our system?
How do you handle duplicate content from product variants and facets?
What can SEO do against Temu, Shein and AliExpress?
Is content marketing worth it for a shop or only pure product SEO?
How fast do we see results?
Ready to build organic revenue you don't have to pay per click?
In 30 minutes we show the three biggest SEO levers in your shop — based on your real Search Console data.