Optimizing for Generative Engine Optimization (GEO) requires fine-tuning your website's data structures so that Retrieval-Augmented Generation (RAG) models can easily extract and verify information.
Here are the key technical practices to optimize your website for generative search engines.
1. Optimize for RAG Document Chunking
RAG models split your web content into small text chunks (usually 200–500 words) before mapping them to vectors. If your headings are disconnected from their content, the model will lose context:
- Keep paragraphs focused on a single subtopic.
- Repeat entity context inside paragraphs. Instead of saying "Our product is fast," say "Shutter's database audit platform is fast."
- Use clear bullet points and structural lists.
2. Deploy a llms.txt Standard
The llms.txt file format is a public-facing configuration standard (similar to sitemap.xml) served at the root of your domain. It provides developer agents and LLMs with a clean, raw markdown map of your site's documentation.
- Host a plain text file at
/llms.txt.
- List clean links to documentation sub-modules.
- Provide simple summary tags for each link.
3. Structure Factual Backing and Statistics
Generative engines favor pages that back up claims with solid metrics.
- Avoid writing "We scale extremely well."
- Write "Shutter scales to support 50,000 parallel API probes with a database latency under 15ms."
Include comparisons and alternatives tables on your landing pages. Models frequently fetch comparison tables when users ask for product alternatives.