Artificial intelligence that will help you Online shop grows

AI makes A/B testing faster and more meaningful: Instead of testing just one variant against another, many variants can be tested simultaneously (multivariate). Bandit's algorithms automatically direct traffic to the better-performing variant, so less revenue is lost to underperforming variants. Additionally, AI identifies winners earlier, suggests data-driven test hypotheses, and determines the best performer for each customer segment instead of just one overall winner.

AI optimizes every touchpoint of the customer journey – from the landing page to the product page and shopping cart, all the way to checkout and repeat purchases. It identifies friction points such as abandoned checkouts, personalizes content and recommendations for each segment, and presents the most suitable option to every user. This transforms static A/B testing into continuous, customer-centric optimization of the entire journey.

Bandit algorithms (multi-armed or contextual bandits) are AI methods that dynamically distribute traffic to the best-performing variant during a test, instead of rigidly splitting it 50/50 until the end of the test. This means more visitors see the winning variant, and lost revenue during the test decreases. Contextual bandits also take context into account, such as segment, device, or user behavior.

AI optimization in e-commerce means strategically deploying artificial intelligence across the entire value chain of an online shop: in product descriptions and data maintenance, search and customer service, marketing, customer service, and operations such as forecasting and pricing. The goal is increased revenue, improved visibility, and reduced manual effort. Storetown Media plans, integrates, and operates these AI solutions for online retailers.

We cover the full spectrum: AI product content and data enrichment, semantic search and conversational commerce, GEO and AI SEO, AI marketing automation, AI customer service, AI in operations, personalization, data and sentiment analysis, custom integration of Claude and LLM APIs into your shop system, as well as AI strategy, auditing, and training. In addition, we offer our classic... SEO and Content marketing.

Yes. We primarily develop AI solutions based on Claude (Anthropic) because the model is very powerful for high-quality texts, consulting, and tool usage, and can be operated in a privacy-friendly manner. Depending on the use case, we combine Claude with other models and open-source LLMs.

GEO stands for Generative Engine Optimization and refers to optimizing your content for AI response systems such as ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Unlike traditional SEO, it's not just about rankings, but about ensuring that AI systems understand your shop, accurately represent it, and actively recommend it.

We prepare your content so that AI crawlers can easily index it: clear, fact-based texts, structured data (Schema.org), an llms.txt file, consistent brand and entity mentions, and targeted how-to guides. Additionally, we control AI bot access and monitor whether and how your shop appears in AI responses.

Yes. We use AI to create SEO-optimized product descriptions, bullet points, attributes, and category texts – in your brand's tone of voice and, if desired, in multiple languages. This also works for very large catalogs with thousands of items, including quality assurance and integration with your shop system or PIM.

Yes. Storetown Media is on Magento (Adobe Commerce), WooCommerce and Shopware We specialize in this. We integrate AI functions directly into these systems – via APIs, custom extensions and middleware – so that product descriptions, search, chatbots and automations run seamlessly in your existing shop.

A semantic search understands the meaning of a query, rather than simply matching exact keywords. For example, if a customer searches for a gift for camping in the rain, the AI ​​will find suitable products, even if these terms aren't in the title. Technically, we use vector databases and embeddings to deliver significantly more relevant results.

An AI-powered sales advisor based on Claude answers product questions, compares items, provides recommendations, and guides customers to the right product, just like in a physical store (guided selling). It is available 24/7, multilingual, and accesses your actual product catalog instead of inventing answers.

Yes, if implemented correctly. We focus on data minimization, data processing agreements, suitable providers or EU data locations, and transparent user information. Personal data is only processed to the extent necessary for the specific use case. We advise you on a data protection-compliant architecture.

The EU AI Act regulates AI on a risk-based approach. Most e-commerce applications, such as product descriptions, search functions, and chatbots, are considered low-risk, but require transparency, including the labeling of AI interactions. We implement your AI functions to ensure they meet transparency and documentation requirements.

AI personalization adapts content, product recommendations, and even some homepages to the behavior and interests of individual visitors. Based on click, purchase, and search data, the shop shows each user the most relevant products – increasing conversion rates and average order value without requiring you to manually maintain every rule.

Yes. AI-powered dynamic pricing analyzes demand, competition, inventory, and margins, and suggests optimal prices or implements them automatically – within rules you define. This allows you to remain competitive while protecting your margins.

Yes. AI recognizes patterns in sales and seasonal data and forecasts the demand for individual items. This improves purchasing and inventory management, reduces overstocking and out-of-stock situations, and can be integrated with your existing inventory management system. ERP system .

The llms.txt file is located in the root directory of your website and provides AI systems with a concise explanation of what your shop is about and which content is important. It helps language models to correctly understand your offerings. For shops that want to be visible in AI responses, it's a simple and effective component of their geo-strategy.

With targeted AI visibility monitoring, we check if and how ChatGPT, Claude, Perplexity, and similar services name your shop and products. Our free STM SEO Audit Tool This provides an initial AI visibility check, which we supplement with ongoing monitoring if required.

It depends on the use case. A compact AI audit with potential analysis and roadmap is the affordable entry point starting at €990. Specific projects such as a product text pipeline, a chatbot, or semantic search are priced according to effort, with ongoing operation optionally billed monthly. Learn more about our Contact form You will receive a transparent, individual offer.

An AI audit typically takes one to two weeks. Depending on complexity, a first productive use case – such as product descriptions or a chatbot – is often live within four to eight weeks. We work in clearly defined phases, from audit to pilot to integration, so you see initial results early on.

We primarily work with Claude (Anthropic) and, depending on the task, also use models from OpenAI and Google, as well as open-source LLMs. This is complemented by vector databases, Retrieval Augmented Generation (RAG), the Model Context Protocol (MCP), and automation tools such as n8n and Make.

Yes. AI translates and localizes product texts, categories, and advice content into many languages ​​– faster and more consistently than purely manual translation. Chatbots and search functions can also operate multilingually, so international customers are served in their own language.

It all starts with an AI audit: We analyze your shop, your data and processes, identify the most effective use cases, and create a prioritized roadmap. Then, we implement the first use case with a pilot project and scale from there. This way, you avoid wasted investments and see results quickly.

Yes. Smaller shops in particular benefit because AI takes over tasks for which there is otherwise a lack of staff – such as product descriptions, 24/7 customer service, or improved search functionality. We are deliberately starting with a manageable, quickly effective, and profitable use case, and building upon it.

We select providers and architectures to ensure your data is protected: no use of sensitive data for model training, clear data processing agreements, access restrictions, and – where possible – European processing. Particularly sensitive processes can also be implemented using local or open-source models.

Yes. We train your team in the effective use of AI – from operating the implemented solutions to practical workshops on how AI can be used productively and securely in the daily work of an online shop.

Agentic Commerce represents the next stage of interactive shopping: AI agents representing consumers independently recognize needs—for example, when consumables are running low—compare offers, and complete purchases autonomously. For retailers, this means that product data, prices, and availability must be radically machine-readable (structured data, feeds, APIs) so that autonomous AI shoppers can select their online store. We prepare online stores based on Magento, WooCommerce, and Shopware for this.

AI reduces returns in several ways: AI size advisors recommend the right size for each brand and style, visual search and enriched product data ensure realistic expectations before purchase, and predictive models identify orders at risk of return and the reasons for each item. This allows customers to order more accurately – reducing the return rate and the associated costs.

Three steps: First, prepare content and product pages for AI systems (GEO) – with structured data, llms.txt, clear entities, and citable content. Second, make product data machine-readable – complete attributes, prices, and availability via clean feeds and APIs for autonomous purchasing agents. Third, continuously measure and optimize your AI visibility. We implement all three steps and monitor the results.