LLMs do not rank pages by popularity. They evaluate their ability to answer a specific question reliably and comprehensively. Writing to be cited by an AI is an editorial discipline in its own right, distinct from traditional SEO, and far more demanding in terms of content.
What LLMs Look for in Content
Three attributes distinguish content that LLMs cite from content they ignore:
- Semantic depth: the topic is covered from all angles, using precise domain-specific vocabulary, relevant named entities, and relationships between concepts
- Factual accuracy: the content is based on verifiable data, cited figures, and concrete examples rather than vague statements
- Expert tone: the tone is that of a practitioner explaining, not a salesperson trying to persuade
Promotional content, even if excellent in substance, will be systematically undervalued by LLMs, which interpret a sales-oriented tone as a sign of bias.
A Break from Traditional SEO
| Traditional SEO | Semantic GEO |
|---|---|
| Amount of published content | Depth of each piece of content |
| Keyword density | Lexical richness |
| Frequent publishing | Regular updates to existing content |
| Long-form content to cover as many keywords as possible | Precise content that answers a specific question |
| Acceptable sales pitch | Preferred tone of expertise |
For a marketing director, this shift has an important practical implication: it’s better to have 10 updated, authoritative pieces of content than 50 superficial articles produced on a regular basis.
The 4 Principles of a GEO-Focused Content Strategy
1. Start with questions, not keywords
These conversational phrasings are exactly the kinds of questions users ask large language models (LLMs). Content that precisely answers these questions is far more likely to be cited.
To identify these questions, the most useful sources are: Google’s “People Also Ask” section, AI autocomplete suggestions, recurring questions from your sales and support teams, and discussion threads on LinkedIn or in industry forums.
2. Explore a topic in depth rather than just skimming the surface
This principle is directly linked to how LLMs “understand” a topic: they evaluate the density of semantic connections between concepts. The more relevant connections your content establishes around a topic, the more it is perceived as an authoritative source on that topic.
3. The FAQ Format: An LLM’s Best Ally
Incorporating an FAQ section into your strategic content pages is one of the most cost-effective actions in GEO. It increases the number of semantic entry points on a page and covers as many different phrasings as possible for a single search intent.
4. Regular updates: a sign of credibility
Updating your 10 to 15 most strategic pieces of content twice a year has a greater GEO impact than publishing 20 new, superficial articles during the same period.
What to Avoid in Your Editorial Strategy
- Purely promotional content: “Our solution is the best on the market” adds nothing of value to an LLM
- Long introductions that delay the response: the LLM gives up before reaching the useful information
- Vague phrasing: “many,” “often,” “in many cases”… opt for specific numbers and examples instead
- Duplicate or paraphrased content: LLMs detect a lack of originality and penalize it
- Lack of sources: Citing sources (studies, data, reference publications) is a strong signal of authority
The Structure of GEO-Optimized Content
- Direct answer to the main question (within the first 2 sentences)
- Context and key issues (why it’s important, for whom)
- Main body of the article structured into sub-questions, with data and examples
- FAQ section covering the most common related questions
- Summary / Key takeaways are formulated as a standalone, extractable answer
This outline is not a rigid constraint; it is a framework that maximizes extractable points for an LLM while maintaining a smooth reading experience for humans.
