LLM Optimization refers to tailoring content, websites, or systems to better interact with and be discovered by Large Language Models (LLMs) like ChatGPT, Google Gemini, or Claude. It’s the next evolution of SEO—focused on being LLM-readable and LLM-recommendable.
Use natural, context-rich language that models can understand and reference accurately.
Use headings, clean HTML, and schema markup so LLMs can parse and summarize effectively.
Format content in Q&A or list style to increase visibility in AI-generated answers.
Clear authorship, sourcing, and factual accuracy—important for models choosing what to quote.
LLMs favor high-value, informative content with depth—not just keyword-stuffed articles.
LLMs learn from frequently linked and cited content, so internal/external links still matter.
Not all AI assistants are created equal. Cadence’s head-to-head analysis reveals each platform’s unique strengths and blind spots, essential knowledge for optimizing content that performs across multiple AI systems.
Google’s AI isn’t just changing search—it’s rewriting the rules entirely. Learn how to position your business to appear in Gemini’s responses, a critical skill as more users rely on AI for quick answers instead of clicking through traditional search results.
Each AI platform takes a unique approach to processing and prioritizing information. Cadence’s extensive guide walks you through the specific optimization strategies that work best for different LLMs, helping you understand how to tailor your content for maximum visibility across multiple platforms.
Your audience isn’t just Googling anymore—they’re asking ChatGPT, searching social media, talking to voice assistants, and turning to other LLMs for answers. Cadence’s comprehensive guide reveals how to expand your SEO strategy beyond traditional search engines, ensuring your content gets discovered across every platform where your customers are actually looking for solutions.
The coding assistant wars are real, and your choice matters more than you think. Cadence’s comparison guide breaks down GitHub Copilot versus ChatGPT for development work, helping you pick the AI tool that will boost your productivity.
As users rely more on AI chatbots for search-like tasks, being optimized for LLMs means your content is more likely to be surfaced, cited, or recommended by these AI models.
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