STRG
DEEN
SERVICE
STRG.intelligence
MODE
Chatbot + Conversion
LLM
response-ready
SINCE
2023

Semantic Search · LLM Response · Phonetics

Semantic Search and Chatbot

STRG.intelligence is an intelligent chatbot with integrated semantic search. Users are supported in their questions with the goal of achieving the highest possible conversion to the product.

STRG.search Hero — semantische Suche
2023
In production since
LLM
Chat + Search
CMS-agnostic
possible in all CMSs
ML + NLP
Continuously optimized

Chat & Search, the intelligent combination

We developed a powerful chatbot that helps answer user queries quickly and competently. In parallel with the chat, searches are submitted to offer additional content. Wherever possible, users are directed straight to the product.

  1. LLM Response Icon01

    LLM Response

    Answers directly from your content — contextual and easy to understand.

  2. Chat with Results Icon02

    Chat with Results

    Interactive search: ask questions, receive answers — always in the right context.

  3. Datenvernetzung Icon03

    Data interlinking

    Ideal for complex search queries relating to content, offerings, and services.

Use cases

Content, services, and offerings are contextually discoverable.

With the LLM search function, you make all information contextually discoverable and AI-ready - regardless of the business model. Examples: editorial research, e-commerce variants, corporate intranet.

  • Semantic full-text search
  • Phonetic search
  • Structured output via Large Language Model (LLM)
  • Mood-Detection

Your benefits

What you gain in concrete terms.

  • Higher user satisfaction through relevant results.
  • Longer dwell time and better engagement.
  • Greater value creation from existing content.
  • Better discoverability of specialist knowledge, articles, and documents.
  • Data insights into search behavior and interests.
  • Scalable for websites, intranet, archives, and editorial systems.

Markus Neuwirth, Senior Consultant

Research, fast content discoverability, and context now determine reach.

Technology

In production since 2023.

The underlying algorithms for semantic content analysis come from our STRG.behave research project from 2017. We have continuously optimized them and supplemented them with LLM mechanisms in 2023.

Building Frontend

Chat & Search im STRG.magazine

STRG,magazine

Let's talk about semantic search

Search that understands content — not just Keywords.

Whether CMS plugin, intranet search, or LLM-assisted chat interface — we listen and suggest a feasible starting point.

office@strg.at+43 699 1 7777 165