From classic feeds to AI-optimised product data with Synesty

69% of German consumers have cancelled a purchase at least once because product information was missing or unreliable. This is shown by a recent study by Akeneo and makes it clear that data quality is now decisive for trust, sales and returns. At the same time, AI is fundamentally changing product search. Instead of rigid keywords, customers are increasingly using conversational, context-sensitive queries. When searching for products, many no longer rely primarily on traditional search engines, but first get an overview with the help of LLMs such as ChatGPT, Gemini or Claude. This puts enormous pressure on companies. Product data must not only be complete and accurate, but also structured in such a way that AI systems can understand and process it. Anyone who wants to be visible in AI searches, voice assistants or digital shopping assistants in the future needs LLM-enabled product data. This is exactly where Synesty comes in as a no-code middleware solution.

From keywords to conversations

Just a few years ago, users searched using simple terms such as ‘red trainers size 42’. Today, they ask more complex questions such as: ‘I’m looking for sustainable, comfortable trainers for the summer, preferably in red and good for long walks.’ LLMs interpret such queries semantically and provide direct recommendations, but only if your product data is rich in context and structured enough to be visible in the rankings.

The Akeneo study shows how crucial complete and credible
product information is for customers:

• 51% of consumers consider information on marketplaces to be unreliable.
• 52% would be willing to pay 24% more if the data is traceable and complete.
• Frequent returns arise solely from incorrect or unclear information.

This is exactly where Synesty comes in. With the no-code solution, you can automate the preparation of your product data. CSV import, ChatGPT-based text generation from keywords, mapping, and automatic export to Shopify or other channels ensure that your product data is LLM-ready, consistent, and of high quality across all channels. This way, you turn every feed into click-strong, trustworthy product information — without any programming effort.

See in 60 seconds how Synesty automates your product data feeds and makes them LLM-ready.

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What does LLM-ready actually mean?

LLM-ready product data is not only machine-readable, but also semantically understandable and contextually analyzable. This means:

• Natural language
  Not just technical data, but value propositions, benefits, and typical use cases.
  
• Structured data
  Clear attributes such as name, material, application area, sustainability, fit, etc.
  
• Questions & answers
  FAQs that anticipate concrete user questions.
  
• Tags & synonyms
  Additional terms that may appear in search dialogues
  (e.g., “lightweight,” “for summer,” “breathable”).
  
• Schema.org markup
  So that machines like LLMs can truly understand the content and not just crawl it.
  
• Completeness of data
  All relevant information from product features to sizes and variants to usage and care instructions must be included.
  

Example: Classic vs. LLM-ready product data feed

Automating and making product data feeds LLM-ready with Synesty

The transformation towards LLM-ready feeds is complex, but with Synesty it can be easily automated. Scalable, automated, and flexible preparation of your product data — all without deep developer resources or programming skills.

What Synesty specifically enables:

• Enrich & transform data
  

  • Complete data from various sources
    
  • Create product descriptions from keywords (with ChatGPT AddOn)
    

• Distribute feeds individually
  Whether Google Shopping, Amazon, Meta, Shopify, or a marketplace. Synesty
  can prepare specific feeds for each channel.
  

• Integrate AI
  You can directly use our ChatGPT add-on or connect other LLMs via API to automatically generate, for example, emotional product descriptions, FAQ answers, or category tags.
  

• Scaling without quality loss
  Even with thousands of items, your data remains consistent, accurate, and LLM-compatible. Synesty demonstrates its strengths especially when handling large amounts of data.
  

• Connect existing & new systems
  With Synesty, you can automate data flows between ERP, PIM, or shop systems.
  

4 Steps to LLM-optimized Product Data with Synesty

1. Import CSV

Load your product data into Synesty using the CSV Reader step.

2. Use the ChatGPT Step

Drag the OpenAI ChatGPT step into your flow.
Prompt example: “Create a compelling product description from name, brand, color, material.”

3. Mapping and automatic export to target system

Synesty provides mapping of product information for, e.g., the Shopify target structure in the Shopify Update Product Information step, and automatically transfers the optimized product descriptions via Shopify, FTP, or API interfaces to the target system.

4. Scheduling & automation

Start flows automatically according to schedule, via API, or manually.

Conclusion:

To remain visible, you need to understand how AI thinks. The LLM revolution has reached e-commerce. Product data created only for customers or traditional search engines is increasingly losing visibility. Synesty allows you to actively leverage this change, automatically optimize product data, structure it for AI, and gain new visibility. The numbers are clear. Neglecting data quality results in loss of trust, revenue, and increased returns. With Synesty, you make your product data feeds LLM-ready so that products are not only found but also purchased.