As people increasingly ask ChatGPT, Claude, or Gemini to recommend products or explain concepts, your work must be understandable, retrievable, and citable by LLMs.
The good news? You don’t need to start over. Your existing content still matters and everything you create from now on can be optimized for AI systems with a few simple principles.
Here are 5 content principles you can use to optimize your content for AI search engines:
- Content length:
Early at the beginning of the year, there was debate about the fact that LLMs now prioritize long forms of content over short ones. In my experience, I have seen all forms of content perform. My take? It shouldn’t be about length for the sake of length but quality. Content length does not matter as AI cares about whether your page answers the question your consumer is looking for an answer.
- Start every section with the answer, rather than the backstory.
AI urges us to go straight to the point while writing. The reason behind this is simple: most people tend to scan an online page when reading articles (understand “read diagonally”): reading the beginning, the middle and the conclusion. LLMs operate in the same way while looking for information to reference, so put the most important information in the beginning, before adding more context and examples in the rest of the text.
- Self-contained content: the previous principle somehow leads to this one. And it means: every section of your article should stand on its own. The question to keep in mind while writing is this one: Does each section of your article hold up independently if an AI presents it out of context?
- Precision writing for AI understanding: AI models prefer content that clearly names entities because it reduces ambiguity and strengthens understanding. This means that your content should be specific enough to be cited when AI is trying to answer a specific question.
For example:
- (Generic) Many companies are developing new metal 3D printing solutions to improve aerospace production.
- (Entity-rich sentence – clear, specific, AI-friendly): GE Aerospace is advancing metal AM, in particular Binder Jetting to produce certified aerospace components such as fuel nozzles and turbine blades.
- Make your content simple and declarative. This principle is for both readers and AI models. I usually rely on a rule of thumb: if I have to read it twice or thrice to understand, it probably is too complex. Make it simple and easy to understand.
We’re entering a new search era, but the rules aren’t as foreign as they seem. It simply means the foundations of good writing remain the same: clarity, precision, and genuine usefulness. If your content answers real questions, names real entities, and stands on its own, AI systems will find it, understand it, and surface it.