Glossary

Content Enrichment

What is Content Enrichment?

Content enrichment means adding structure and supplementary information to existing text, such as headings, an outline, a summary, keywords or metadata. AI models can do this quickly and consistently, making content easier to find, read and reuse. The key rule is to organise what is already there rather than invent new facts. Example: rough meeting notes become structured minutes with a summary.

How KI.ordo helps

KI.ordo's ready-made template for preparing raw text adds headings, an outline, a summary, keywords and open questions without inventing content.

Learn more →: Content Enrichment

Topics

  • Text preparation
  • Structure
  • Metadata

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Related terms

Text Summarisation

In automatic text summarisation, AI condenses long texts to their key points. Extractive methods copy important sentences verbatim, while abstractive methods rephrase the content; large language models work mainly abstractively. This is useful for minutes, reports or long email threads; for important decisions the summary should be checked against the original.

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Natural language generation (NLG)

Natural language generation (NLG) is the area of language processing that produces understandable text from data, bullet points or other inputs. Earlier NLG systems relied on templates and rules; today most use large language models. Typical uses include weather and stock market reports, product descriptions, summaries of key figures and chatbot answers. It is important that figures and facts from the inputs are carried over correctly and unchanged.

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AI-Assisted Content Creation

AI-assisted content creation means producing text, images or other content with the help of generative AI, for example for websites, newsletters, product descriptions or social media. AI quickly delivers drafts, variants and translations, while subject expertise, brand voice and fact-checking remain human tasks. Clear guidance on audience, tone and sources helps. Example: bullet points about a new offering become a draft blog post and three social media posts.

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Text Generation

Text generation is the automatic production of text by AI, nowadays usually by large language models that calculate the most likely continuation word by word. It is a branch of natural language generation and a core application of generative AI. Organisations use it to draft emails, reports or product descriptions; facts and figures should be checked before publication.

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Template