The way consumers search online and discover products is changing drastically. Where traditional search engines like Google were the dominant source for organic traffic for years, we are now seeing a rapid rise of AI-driven search experiences. ChatGPT, Claude, Perplexity, and Google's AI Overviews are increasingly being used by consumers to get product recommendations, compare prices, and make purchasing decisions.
More relevantIn the United States, the Agentic Commerce Protocol (ACP) and the Universal Commerce Protocol (UCP) are already being rolled out. These platforms allow for shopping and purchasing directly via AI interfaces. It is only a matter of time before this reaches Europe as well. For Magento merchants, this means that optimisation for AI discovery is no longer optional – it is becoming essential for future success.
This shift calls for a new optimisation strategy: Generative Engine Optimisation (GEO). In this comprehensive guide, you'll discover what GEO entails, why it's crucial for your Magento 2 webshop, and most importantly: what concrete steps you can take to prepare your online store for this new era of AI-driven discovery.
Please note: The technical integration of ACP and UCP with Magento 2 will be covered in a separate, future blog post once these platforms become available in Europe.
Wat is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the process of optimising your online content and data so that AI models and Large Language Models (LLMs) can find, understand, and recommend your products and brand to users.
The difference between SEO and GEO
Where traditional SEO focuses on:
- Rankings in search results
- Clicking to your website
- Keywords and backlinks
- Page speed and technical optimisation
GEO focuses on:
- How AI models interpret and summarise your content
- The quality and structure of product information
- Context and semantic meaning
- Authority and reliability of information
- Direct answers to user questions
The crucial differenceIn SEO, you want users to click on your website. In GEO, your information needs to be so clear and valuable that AI models can directly recommend your products in their answers – sometimes without the user even visiting your website.
Why is GEO important for your Magento webshop?
The figures speak for themselves
- ChatGPT has over 800 million weekly active users
- 40% of Gen Z use TikTok or AI chatbots as their primary search engine instead of Google (Bronze)
- Google's AI Overviews are now being shown for many searches (Bronze)
Concrete business impact
When a potential customer asks ChatGPT, “What are the best running shoes for beginners under £100?”, you want your products to be mentioned in the answer. If an AI model cannot find or understand your product information, you will completely miss out on this new wave of potential customers.
Most webshops are not yet optimised for GEO. By starting now, you will build a lead that will become increasingly valuable as AI-driven discovery grows.
The 10 Pillars of GEO for Magento 2
1. Structured Product Data with Schema.org
AI models understand your products better when you use structured data. For Magento 2, this means implementing rich snippets and schema markup. This is often set up correctly directly in your template, but sometimes you need flexibility.
What you need to implement
- Product SchemaIncluding name, description, price, availability, reviews
- Offer SchemaFor price information and offers
- Review SchemaFor customer reviews and ratings
- BreadcrumbList SchemaFor navigation structure
- Organisation SchemaFor business information
Recommended Magento 2 extensions:
- Magmodules Rich Snippets and Structured Data Simple and efficient setting up of structured product data.
- Amasty SEO ToolkitAutomatic schedule implementation for products
- Mirasvit Advanced SEO SuiteIncluding rich snippets and structured data
Practical tip for merchants: Check if your schema markup has been implemented correctly with Google's Rich Results Test tool. AI models use the same structured data that Google reads.
2. Detailed and informative product descriptions
AI models need context to be able to recommend your products. Short, generic product descriptions are not sufficient.
Best practices
- Clear and comprehensive product descriptions
- Answer the “who, what, where, when, why” questions.
- Specific use cases and applications
- Explain the difference with comparable products
- Use natural language instead of keyword stuffing
- Add technical specifications in readable sentences
Example of a good GEO-optimised description:
Instead of:
“Nike Air Zoom Pegasus 40 running shoes. Comfortable and lightweight. Suitable for long distances.”
Schrijf je:
“The Nike Air Zoom Pegasus 40 running shoes are ideal for both beginner and experienced runners looking for a versatile training shoe. These shoes are specially designed for daily training and long distances up to 21 kilometres. The Nike Air Zoom cushioning in the forefoot provides a responsive toe-off, while the improved breathable mesh upper keeps your feet cool during intensive workouts. Weighing just 280 grams (size 42), these shoes are among the lighter training shoes in this category. They are suitable for neutral runners and slight overpronators, and perform excellently on asphalt and paved paths.”
3. Q&A Content Strategy
AI models are primarily activated by user queries. By anticipating and answering these queries, you increase the likelihood that your content will be used in AI-generated responses.
Implementation in Magento 2:
On a product level:
- Write an FAQ section in the product description or use an extension that does this for you.
- Answer frequently asked questions such as:
- “What is this product suitable for?”
- “What's the difference compared to [competitor product]?”
- “Who is this product intended for?”
- “How do you use this product?”
- “What are the main advantages?”
On the site level:
- Create comprehensive FAQ pages per product category
- Develop buying guides and how-to content
- Write comparison articles
Recommended Magento 2 extensions:
- Mageplaza FAQ ExtensionAdd FAQ sections to product and category pages
- Amasty FAQ and Product QuestionsIncluding rich snippets for FAQ schema
4. Customer reviews and authentic social proof
AI models hugely value authentic user experiences. Reviews are one of the most valuable data sources for understanding product quality.
GEO-optimalisation of reviews
- Encourage detailed reviews (minimum 50 words)
- Ask customers to share specific use cases
- Implement photos and videos with reviews
- Respond to all reviews (positive and negative)
- Highlight verified purchase badges
- Show reviews prominently on product pages
Recommended Magento 2 extensions:
- Amasty Advanced Reviews: With question-answering functionality
- Trustpilot of Kiyoh integrationIntegrate Trustpilot or Kiyoh reviews directly into your webshop.
Practical tip: Send automated review requests 7-14 days after delivery, when customers have had a chance to use the product. This will result in higher quality reviews.
5. Technical specifications and attributes
AI models excel at comparing products based on technical specifications. Ensure this data is complete and structured. For this, you can use integrations with systems like Icecat or 2BA, ideally via a PIM solution.
Magento 2 optimisation:
- Utiliseer productattributen voor alle relevante specificaties
- Create attribute sets per product category
- Use dropdown and multiple select attributes where possible
- Ensure consistent units (cm, kg, watts, etc.)
- Show specifications on the product page
6. Comparable products and relationships
Help AI models understand your product catalogue by showing clear relationships between products. This can be achieved with standard Magento functionality, but can also be expanded with an extension or integration.
Implementation strategies
- Related products: Products often bought together
- Upsell Products: Premium Alternatives
- Cross-sell products: Complementary products
Describe these relationships: Instead of just showing links, explain why products are related:
- “Customers who bought this product also often chose [product] because of [reason].”
- “Upgrade to [premium product] for [benefit]”
- “Complete your purchase with [accessory] for [result]”
Recommended Magento 2 extensions:
- Amasty Automatic Related ProductsBased on click behaviour and conversions
- TweakwisePersonalised automatic product recommendations with machine learning
7. Category and Landing Page Optimisation
Category pages are often AI models' first introduction to your product offerings. Optimise these pages for context and understanding.
GEO best practices for category pages:
Detailed category descriptions:
- A minimum of 500-750 words per main category
- Explain what sort of products are available
- Give purchasing advice and selection criteria
- Discuss common questions and misconceptions
- Link to related categories with context
Use of subcategories:
- Create logical, hierarchical structure
- Use clear, descriptive names
- Add short descriptions to each subcategory
Filters and facet navigation
- Implement relevant filters (price, brand, features)
- Make filtered URLs crawlable and indexable. Please note that this can have an impact on your SEO if misconfigured.
- Add content to filtered pages
Recommended Magento 2 extensions:
- Amasty Improved Layered NavigationSEO-friendly filters
- Mageplaza Layered NavigationIncluding AJAX and SEO options
8. Content marketing and educational content
AI models appreciate educational content that helps users make purchasing decisions.
Content types that GEO supports:
Buying Guides:
- “How to choose the right [product category]?”
- “Complete buying guide for [product type] in 2025”
- “10 things you need to know before buying [product]”
Comparison articles
- “[Product A] vs [Product B]: Which is better for you?”
- “Budget vs Premium [product category]: The differences explained”
- “Brand comparison: [Brand A], [Brand B] and [Brand C] side-by-side”
How-to Guides:
- “How do you use [product] for [purpose]?”
- “Step-by-step guide: [product application]”
- “Tips en trucjes voor optimaal gebruik van [product]”
Recommended Magento 2 extensions:
- Mirasvit Blog ExtensionProfessional blog for content marketing
- Amasty Blog ProSEO-optimised with categories and tags
- Magefan Blog: With rich snippets and social sharing
Content strategy tips:
- Publish at least 2-4 blogs per month
- Focus on longtail keywords specific questions
- Update old content regularly
- Link from blogs to relevant products
- Use internal link building strategically
9. Accessibility and mobile experience
Just like with SEO, AI models favour websites that are accessible to all users. Make sure your website works well on mobile devices and that accessibility is in order.
Test tools:
- Google PageSpeed Insights
- Chrome Lighthouse
10. Authority, Expertise, and Trustworthiness (E-E-A-T)
AI models are trained to prioritise reliable sources over dubious websites. Build authority in your niche.
E-E-A-T Strategies
Show expertise:
- Publish expert content written by specialists
- Add author bios to blogs and guides
- Share certifications and qualifications
- Awards and recognitions
Building authority:
- Gather backlinks from reputable websites
- Publish guest blogs on authority sites
- Request product reviews from influencers
- Share case studies and success stories
Communicating reliability:
- Show security certificates (SSL, trust seals)
- State contact details clearly (telephone, address, Chamber of Commerce).
- Publish terms and conditions and returns policy
- Share company information and history
- Show quality marks (Thuiswinkel, WebwinkelKeur)
Measuring and Monitoring GEO: Possible Tools
Free tools
- Google Analytics 4Analyse traffic, sources, and conversions
- ChatGPT itselfTest how your products are recommended
Paid tools:
- SEMrushContent analysis and position tracking
- SE Ranking: Analyseer de zichtbaarheid van uw website binnen AI-zoekmachines
The future: Agentic Commerce Protocol and Universal Commerce Protocol
An important development that further increases the urgency of GEO is the rollout of Agentic Commerce Protocol (ACP) and it Universal Commerce Protocol (UCP) in the United States. These platforms enable consumers to discover and even purchase products directly through AI interfaces such as ChatGPT, without ever visiting a traditional webshop.
Why this is relevant for your Magento 2 webshop
Although ACP and UCP are currently being rolled out primarily in the US, it is only a matter of time before these platforms also come to Europe. Webshops that already have their product data structured and AI-ready will have a huge advantage when these channels become available.
The impact:
- Zero-click commerceConsumers can buy products without visiting your website
- AI will become the new shop windowThe AI assistant is the new storefront
- Product data is becoming crucialYour product information determines whether AI recommends your products
- First-mover advantageAnyone who is ready now will win later
OpenAI Product Feeds: Prepare your Magento store
To be discoverable in ChatGPT's shopping experience and future AI commerce platforms, you will need a structured OpenAI-compatible product feed. This feed must meet specific requirements regarding data structure and format (JSON).
What should be in your OpenAI product feed?
- Product Name and Description
- Price and availability
- Product URLs (with UTM tracking)
- High-quality images
- Technical specifications
- Category information
Recommended Magento 2 extension:
For Magento 2 merchants who want to prepare for AI commerce now, there is the OpenAI Commerce Feed from Magmodules.
Preparation is half the battle.
By implementing an OpenAI product feed now, you are ready for ChatGPT's product discovery (already active) and are partly ready for UCP and ACP.
The technical integration of these platforms with Magento 2 (such as checkout flows and order synchronisation) will be covered in a separate, future blog post once this functionality becomes available in Europe. For now, the most important thing is that your product data is findable and structured.
The future of e-commerce is AI-driven
Generative Engine Optimization is no longer a “nice to have” – it's fast becoming an essential part of successful e-commerce strategies. Consumers are shifting from traditional search engines to AI-powered assistants for product discovery, and this trend is only set to accelerate.
For Magento 2 merchants just starting with GEO, huge opportunities lie ahead. By optimising your product information for AI understanding, you'll not only gain a competitive advantage but also create a better experience for all visitors to your webshop – both human and AI.
Key takeaways:
- Start todayThe GEO revolution has already begun. The earlier you start, the greater your advantage.
- Focus on qualityAI models value in-depth, authentic, and useful content. Invest in quality over quantity.
- Think in systemsGEO is not a one-off project but a continuous process of optimisation and improvement.
- Measure and learnUse data to understand what works and adapt your strategy accordingly.
- Keep learningAI and generative engines are evolving rapidly. Stay informed about new developments.
Would you like help with setting up a GEO strategy? We'd be happy to assist. Feel free to contact one of our specialists.
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