Practical Strategies to Optimise for LLMs and Zero-Click
Let's explore how businesses can adapt to this new landscape. Here are some focused strategies to increase your visibility in LLM-based search results:
Structure content for AI consumption
Both search engines and LLMs scan content looking for clear, direct answers to user queries. Making your content easily digestible for AI is crucial.
Implementation Tips:
- Place concise answers (40-60 words) at the top of your content
- Use clear headings that directly match search intent
- Structure content with proper HTML tags to help AI understand your hierarchy
- Break text into bite-sized chunks with bullet points and short paragraphs
Optimise for Featured Snippets
Featured snippets are prime targets for zero-click optimisation and often serve as sources for AI responses.
Implementation Tips:
- Create concise definitions that directly answer specific questions
- Use structured data formats like tables, lists and steps
- Focus on "how-to" content and comparisons that lend themselves to snippet formats
Consider your Robots.txt strategy
An important technical consideration is how you manage AI crawlers through your robots.txt file. This file can control which AI bots can access your content.
Implementation Tips:
- Major AI platforms have specific user agents you can target:
- OpenAI: GPTBot and ChatGPT-User
- Anthropic: anthropic-ai
- Google's AI: Google-Extended
- Perplexity: PerplexityBot
However, there's an important caveat - there are reports that some AI companies may be ignoring robots.txt directives. Additionally, there's debate about whether robots.txt even applies to LLMs in the same way it does to traditional search crawlers.
Explore the emerging llms.txt standard
A new proposed standard called llms.txt is emerging specifically for AI content crawling. Created by Australian technologist Jeremy Howard, it functions somewhat like robots.txt but is specifically designed for LLMs. You can read more about the standard and how to implement it here.
Implementation Tips:
- Consider implementing an llms.txt file that provides:
- A flattened version of your content without navigation, ads, etc.
- Context on how your content should be used by AI models
- URLs to the most important content sections
This approach allows you to provide LLM-friendly versions of your content while maintaining control over how it's presented.