Authors
Large Language Models are reshaping how people interact with information. Platforms like ChatGPT Gemini and Perplexity do not simply display lists of links. They generate conversational answers by pulling insights from trusted sources. For businesses this means content must be designed in a way that AI systems can easily understand trust and reference. The key question is what are the best practices to optimise content for LLMs
LLMs prioritise content that directly addresses what users want to know. Writing only around keywords is no longer enough.
Best practice
• Understand whether the intent is informational transactional or navigational
• Provide answers that fully match the intent behind the query
• Use examples and case studies to make information clear and actionable
People interact with LLMs in natural language. Queries are often phrased as complete questions.
Best practice
• Use headings that reflect common user questions
• Offer concise direct answers at the start then expand with context
• Keep sentences simple and conversational so content mirrors how people search
Surface level posts will not be picked up by LLMs. They select sources that offer comprehensive reliable answers.
Best practice
• Cover all aspects of a topic within your content
• Include FAQ sections for added detail
• Use data research and real life examples to strengthen depth
LLMs avoid unreliable sources. Content from trusted authoritative sites is far more likely to be included.
Best practice
• Add author bios that highlight expertise and experience
• Reference credible research studies and industry sources
• Build backlinks from reputable sites in your field
Schema markup makes content easier for AI systems to interpret. Structured formatting helps LLMs extract precise answers.
Best practice
• Apply FAQ schema for question based sections
• Use product schema for ecommerce listings
• Add review schema to showcase testimonials and ratings
AI models prioritise information that is current and accurate. Outdated pages reduce trust.
Best practice
• Update old blogs with the latest statistics and trends
• Refresh titles and metadata to reflect the current year
• Expand thin content into more detailed and relevant guides
Engagement signals show whether users find content helpful. A positive experience strengthens visibility.
Best practice
• Ensure fast load speeds and mobile friendly design
• Use visuals such as charts infographics and videos
• Make navigation smooth with clear calls to action
LLMs highlight timely topics. By publishing early on rising trends you can position your content as an authoritative source.
Best practice
• Track emerging queries with AI powered SEO tools
• Publish content early to build authority before competitors
• Build topic clusters that cover subjects in depth
So what are the best practices to optimise content for LLMs
Align content with user intent
Write in a conversational natural style
Provide complete in depth answers
Strengthen authority with E E A T signals
Apply structured data for clarity
Keep content updated and reliable
Enhance user experience for stronger engagement
Anticipate trends with predictive strategies
Optimising content for LLMs is about building clarity trust and value. These models reward sources that are helpful comprehensive and reliable. Businesses that adapt now will secure stronger visibility not just in traditional search engines but also in AI generated answers.
At DWAO we help brands apply best practices to optimise content for LLMs. From conversational optimisation and structured data to authority building and predictive SEO our strategies ensure your business thrives in the AI search era.
If you want to understand exactly what are the best practices to optimise content for LLMs and apply them to your brand DWAO is ready to guide you.