AI-powered Search for Your Website
Modern AI search understands what your users are really looking for – not just keywords, but the context behind them.
- Implement semantic search
- Better search results
- Higher conversion rate
- Easy integration
Integrate AI Search
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100% kostenlos & unverbindlich
Why AI Search?
Classic keyword search frustrates your users – AI search delights them. As an AI specialist from Basel, I implement intelligent search functions for websites and portals.
Traditional search functions only understand exact terms. When a user searches for "cheap smartphone with a good camera", classic search finds nothing – because no product is named exactly that. AI search understands the intent and delivers relevant results.
Classic vs. AI Search
- Finds only exact terms
- No synonyms recognized
- Typos lead to 0 results
- No context understanding
- Frustrating user experience
- Understands natural language
- Recognizes synonyms & context
- Tolerant of typos
- Learns from user behavior
- Delightful user experience
Use Cases for AI Search
E-Commerce & Webshops
Product search with natural language, filter recommendations and cross-selling.
Real Estate Portals
"Apartment with balcony near station under CHF 2000" – AI understands complex queries.
Knowledge Portals & Docs
Semantic search in technical documentation, FAQs and knowledge bases.
News & Content Portals
Topic-based search across articles, authors and related content.
Health & Medicine
Symptom search, doctor finder and understanding treatment options.
Intranet & Enterprise
Company-wide search across documents, people and projects.
Technologies & Implementation
I rely on proven AI technologies for your search function:
Embedding Models
OpenAI Embeddings, Cohere or open-source alternatives convert texts into semantic vectors that capture meaning rather than just words.
Vector Databases
Pinecone, Weaviate or Milvus store and search millions of vectors in milliseconds.
CMS Integration
Seamless integration into WordPress, TYPO3, Shopware or your custom CMS. Search becomes a natural extension.
Conversational Search
Optional: chat interface that asks follow-up questions and presents search results in a dialogue.
Why normal search is often not enough
Classic keyword search works on the principle of exact text matching. A user searches for "warm winter jacket cheap" – the system only finds entries that contain exactly these words. Typos, synonyms or differently worded queries return zero results or irrelevant ones. This frustrates users and costs you conversions. Add to this: users search differently today than ten years ago. They formulate full sentences, ask questions, describe a situation – and expect the system to understand what is meant, not just what is written.
AI-powered semantic search solves exactly this problem. Instead of matching words, it understands meaning and intent. "Shoes for wide feet that don't pinch" is correctly interpreted and delivers matching results – even though no product is described that way. Semantic vector spaces capture the content similarity between query and document, regardless of the exact wording. The result: fewer zero-results, more satisfied users, higher conversion rate.
How I integrate AI search into existing projects
Index data & create embeddings
First, all searchable content (products, articles, documents) is converted into numerical vectors by an embedding model such as OpenAI text-embedding-3 or an open-source equivalent. These vectors are stored in a vector database (e.g. pgvector, Pinecone or Weaviate) and form the semantic search index.
Process search queries in real time
Every search query from a user is also converted into a vector. The system finds the most content-similar entries in the index – in milliseconds, even with large amounts of data. Optionally I combine semantic search with classic keyword matching for maximum hit rate (hybrid search).
Integrate into your CMS or backend
The AI search component is integrated into your existing system via PHP library or REST API – WordPress, Shopware, TYPO3 or a custom backend. Your search interface remains the same, the model runs in the background and delivers better results without any visible change for the end user.
Frequently Asked Questions about AI Search
What is the difference between normal search and AI search?
Is AI search worth it for my website?
Does AI search work in German too?
How much faster do customers find what they are looking for?
Can I see what customers are searching for?
Ready for intelligent search?
Let your users find what they are really looking for – with AI-powered semantic search.
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