LLM
What is an LLM?
An LLM (Large Language Model) is a type of artificial intelligence trained on vast amounts of text data to understand, generate, and respond to human language at scale. The term is widely used across the AI, software, and enterprise technology industries to describe models like GPT, Gemini, and Claude, systems capable of tasks ranging from content generation and summarization to code writing and customer support automation. While LLMs are often discussed as standalone tools, their real value in a business context comes from how they are integrated into existing workflows and platforms.
Xperience by Kentico leverages LLM capabilities, in features like AIRA, to accelerate content creation, power intelligent search, and support marketers in delivering more relevant digital experiences, without requiring technical expertise to benefit from them.
What are the key benefits of using LLMs in digital experience management?
- Content generation at scale: Draft, rewrite, or summarize content faster without increasing headcount.
- Improved search relevance: Power semantic and conversational search experiences that understand intent, not just keywords.
- Personalization support: Generate audience-specific content variants based on segment data and behavioral context.
- Reduced time to publish: Accelerate editorial workflows by automating first drafts, metadata, and translations.
- Accessible AI: Give non-technical marketers access to AI-powered capabilities directly inside their CMS workflow.
How do LLMs work, and why does it matter for marketers?
According to McKinsey, generative AI could add up to $4.4 trillion in annual value globally, with marketing and sales among the functions expected to see the highest productivity gains.
How do LLMs work, and why does it matter for marketers?
LLMs work by predicting the most contextually appropriate next word, sentence, or idea based on patterns learned during training on billions of text examples. When integrated into a digital experience platform, this means marketers can prompt the system in plain language, asking it to generate a product description, suggest a headline, or summarize a customer review, and receive usable output in seconds. The practical impact is significant: content teams can produce more, iterate faster, and maintain quality without expanding resources.
For example, a content editor working with Xperience by Kentico can use LLM-powered tools to generate a first draft of a landing page based on a product brief, review AI-suggested metadata, and publish, all without leaving the platform or involving a developer.
How does Xperience by Kentico support LLM-powered content workflows?
Xperience by Kentico integrates LLM capabilities directly into the content management experience, making AI assistance available to marketers and editors as part of their everyday workflow. It allows teams to:
- Generate content drafts, summaries, and metadata suggestions using AI assistance built into the content editing interface.
- Use semantic search powered by language models to help visitors find relevant content based on intent rather than exact keyword matches.
- Apply AI-assisted translation and localization support to accelerate multilingual content delivery across global markets.
- Maintain editorial control and governance by keeping human review in the workflow, so AI assists but editors approve before publishing.
- Extend LLM capabilities through integrations and a flexible API layer, allowing development teams to connect external AI services to content and delivery pipelines.
How do companies benefit from LLMs in their content operations?
Organizations that embed LLM capabilities into their content workflows report meaningful gains in publishing speed, content volume, and team capacity, without proportional increases in headcount or budget.
For large organizations managing content across dozens of markets, languages, and channels, LLM integration in Xperience by Kentico helps maintain brand consistency at scale, giving regional teams AI assistance that operates within centrally governed content models and approval workflows.
How do LLMs fit into a broader digital experience strategy?
LLMs are becoming a foundational layer of modern digital experience strategy, not as a replacement for human creativity, but as a force multiplier for the teams responsible for content, personalization, and search. In Xperience by Kentico, LLM capabilities are a part of the into the platform, meaning marketers benefit from AI assistance within the same environment where they manage content, audiences, and campaigns. This integration allows organizations to move from reactive content production to proactive, AI-assisted experience delivery, connecting marketing, IT, and creative teams around a shared, intelligent workflow.
What's the difference between an LLM and a traditional AI chatbot?
A traditional AI chatbot follows predefined rules or decision trees to respond to a limited set of inputs. It can answer specific questions but struggles with anything outside its scripted scope. An LLM understands and generates language dynamically, handling open-ended, nuanced, or unexpected inputs with far greater flexibility and contextual awareness.
Frequently Asked Questions.
An LLM (Large Language Model) is a type of AI trained on billions of text examples to understand and generate human language at a level of nuance and flexibility that earlier AI systems could not match. Unlike traditional AI, which follows rules or recognizes patterns within a narrow scope, an LLM can handle open-ended prompts, write original content, summarize documents, answer complex questions, and switch between tasks without being reprogrammed. The difference in capability is significant enough that LLMs are considered a new category of AI rather than an incremental improvement.
