How to Optimise Content for AI & LLMs

Large language models (LLMs) and generative AI systems like Google AI Overviews, ChatGPT, and Perplexity are reshaping how people find information.

If you want your brand to show up in AI-generated answers, you need to adjust your content strategy now. Not next quarter. Now.

Quick answer: Focus on well-structured, authoritative content that provides clear, citable statements. Build credibility through original research, and ensure your brand has presence across multiple platforms that LLMs use as training and retrieval sources.

I've spent the last 18 months testing what gets cited by AI systems and what gets ignored. This isn't theory. This is what I've seen work across dozens of client sites.

How LLMs Select Content to Cite

Before you optimise anything, you need to understand how these systems actually work.

LLMs don't "search" the web like Google does. They work in two ways:

• Training data: Models like GPT-4 and Claude are trained on massive datasets. If your content was in that training data, the model "knows" your information. But it won't necessarily attribute it to you.
• Retrieval-augmented generation (RAG): Systems like Perplexity, Google AI Overviews, and ChatGPT with browsing actively search the web and cite sources in real time. This is where optimisation matters most.

For RAG-based systems, the selection process works roughly like this: the system runs a search query, retrieves top-ranking pages, parses the content for relevant passages, and cites the source that provides the clearest, most authoritative answer.

That means ranking well in traditional search is still the foundation. If your page isn't in the top results for a query, AI systems won't even see it to cite it.

The LLM Content Optimisation Framework

Here's the framework I use with clients. I call it the CLEAR framework:

C — Citable statements. Write clear, definitive statements that an AI can extract and attribute. "The average CTR for position 1 in Google is 27.6%" is citable. "CTR varies depending on many factors" is not. LLMs need concrete claims to work with.

L — Logical structure. Use descriptive headings that match how people ask questions. Structure content with clear question-answer pairs. LLMs parse heading-content relationships to find relevant passages. If your H2 is "What Does LLM Optimisation Cost?" and the first paragraph directly answers it, you're set up for citation.

E — Entity clarity. Make it unambiguous who you are and what you're an authority on. Your about page, author bios, and schema markup all help LLMs understand your credibility. If the model can't determine why your content is trustworthy, it'll cite someone whose authority is clearer.

A — Answer-first formatting. Put the direct answer at the start of each section, then support it with detail. LLMs extract the first relevant passage they find. If your answer is buried under three paragraphs of context, another source with a more direct answer will get cited instead.

R — Reference density. Include specific data, statistics, named sources, and original research. LLMs weight content with verifiable claims higher than content with generic statements. If you cite a study, name the source and year. If you share data, include the numbers.

Optimising for AI Visibility

Getting cited by AI systems requires more than on-page optimisation. You need a presence that LLMs recognise as authoritative.

• Use multiple platforms: Post content on YouTube, LinkedIn, and other trusted sites. LLMs pull from diverse sources. A brand that only exists on its own website has a narrower citation footprint than one referenced across multiple authoritative platforms.
• Build topical authority: Create multiple content pieces around the same subject. LLMs are more likely to cite a source that comprehensively covers a topic than one with a single article on it.
• Earn mentions and reviews: Third-party mentions — reviews on G2, features in industry publications, citations in academic papers — all contribute to how LLMs assess your authority.
• Maintain a strong Google Business Profile: For local and service-based businesses, GBP signals feed into how AI systems understand your business entity.
• Prioritise your website: Your own site needs to be the most comprehensive, authoritative source on your core topics. External platforms supplement your authority; they don't replace it.

Optimising for AI References and Citations

If you want AI systems to actively cite your content, you need to be seen as a trusted, citable source.

• Publish original research. First-party data is gold. If you run a survey, analyse a dataset, or produce a benchmark report, LLMs will cite it because the data can't be found anywhere else.
• Create definitive definitions. LLMs love clear definitions. If you can own the definition of a concept in your niche, you become the default citation for that term.
• Provide specific recommendations. "Use X tool for Y purpose" is more citable than "there are many tools available." Take positions. Be specific.

Here's a quick video on how to optimise for Google AI Overviews specifically:

Making Your Content Easier for LLMs to Parse

LLMs process content differently than traditional search crawlers. Here's what to focus on:

• Natural language over keyword stuffing: Optimise for conversational, long-tail queries. LLMs understand natural language better than keyword strings. Write how people actually talk.
• Structured data and schema: Schema markup helps AI systems understand your content's structure and entities. Article schema, author schema, and organisation schema are particularly valuable for establishing authority signals.
• Clear paragraph-level answers: Each paragraph should be self-contained enough to be extracted as a standalone answer. If an AI pulls just one paragraph from your page, does it make sense on its own?
• Tables and comparison data: LLMs extract structured data efficiently. Comparison tables, specification lists, and data tables are more likely to be cited than narrative prose covering the same information.
• Regular updates: Freshness matters for RAG systems. Content with recent dates and current information gets prioritised over outdated content. Update your key pages quarterly at minimum.

Traditional SEO vs LLMO: What's the Difference?

To make the distinction clear:

Both approaches are essential. Traditional SEO is the foundation — you need to rank well for AI systems to even find your content. LLMO is the layer on top that determines whether your content gets cited once found.

What's Actually Working Right Now

Based on what I'm seeing across client sites in 2026:

Pages that get cited most often tend to be glossary-style definitions, "how to" guides with numbered steps, comparison pages with tables, and original research with specific data points.

Pages that get ignored tend to be generic overview content, pages with hedging language ("it depends"), content behind paywalls, and pages with poor structure or no clear headings.

The biggest quick win is restructuring existing high-ranking content to be more citable. Add clear definitions to the top of pages. Break content into question-answer pairs. Include specific data points. This can be done in an afternoon and often produces results within weeks as AI systems re-process your content.

Final Word

Optimising for LLMs isn't a separate strategy from SEO. It's an evolution of it. The fundamentals — authority, relevance, trust, structure — still matter. You're just applying them to a new type of search experience.

Start with your highest-traffic pages. Restructure them using the CLEAR framework. Monitor your AI visibility using tools like Otterly or manual checks in ChatGPT and Perplexity. Iterate based on what gets cited and what doesn't.

The brands that figure this out now will own the AI search landscape for years. The ones that wait will be playing catch-up.

Looking to apply these LLM SEO ranking factors to your own site?

I offer tailored consulting to help brands build AI-visible content, structure passages for citation, and stay ahead in the evolving search landscape.

Explore LLM SEO consulting services to get started.