Content in the Age of Generative AI and LLMs

A LLM (Large Language Model) is an artificial intelligence trained on vast amounts of text to understand and generate language: examples include ChatGPT, Claude, and Gemini. For businesses, these models change two key things: content creation and how you are discovered.

1. Create content faster — without diluting its value

AI excels at rough drafting: article outlines, initial phrasing, adaptations for each social network, and translations. However, fully AI-generated content that goes unedited is easy to spot: it’s generic, lacks concrete examples, and doesn’t reflect your perspective. The best approach: AI suggests, you decide. Add your anecdotes, your data, and your tone. This human touch is what makes the difference.

2. GEO: Being cited by AI

More and more people are asking questions directly to AI instead of Google. Appearing in these responses is becoming a priority: this is known as GEO (Generative Engine Optimization). Best practices align with SEO: content that is clear, structured, factual, and reliable, and that precisely answers questions. Structured data, a glossary, and Q&A pages help both search engines and AI systems understand and cite you.

3. Stay in control: the question of sources

An LLM can confidently make mistakes (known as "hallucinations"). Never publish a statistic or sensitive statement without verifying it. For your business, reliability is your brand.

Key takeaways

Generative AI is neither a threat nor a magic wand: it’s an accelerator. It amplifies the impact of those who have something to say and a method. The content that succeeds remains useful, honest, and authentic.