TABLE OF CONTENTS
ChatGPT Search introduced a transformative way to find information and solutions. Its mission was simple: instead of sifting through endless articles, users could receive direct recommendations tailored to their specific needs.
Imagine searching for “best marketing software for small businesses,” and, instead of wading through blogs and comparison guides, you’re instantly offered top recommendations, personalised by your business context, niche, ICP, and use case.
This search method, untouched by advertising and in its purest form, sparked a wave of curiosity among SEO professionals.
A new concept emerged: Generative Engine Optimisation (GEO). Like early SEO, GEO began with assumptions and evolved through testing and reverse-engineering LLMs like ChatGPT Search and Perplexity.
For instance, we recently secured our best deal ever from Perplexity.
To help others do the same, our team created this playbook. It combines real-world strategies with insights from the broader AI SEO community.
We’ve been experimenting on our own website and I’m proud to say that we’re getting more and more traction from AI search every month.
But first, let’s get started with the basics: 👇
Even though AI LLMs do not explicitly disclose their recommendation algorithm, here are a few things the industry has noticed when optimizing for them:
AI LLMs like ChatGPT Search are looking for accurate, updated, and relevant information:Similar to Google, AI LLMs have a preference for high-quality, well-written and relevant content.
AI LLMs are logical – they want to read your arguments on what makes you stand out from the competition and the #1 choice for customers.AI LLMs focus on content closely aligned with the user’s question**and organized to facilitate the extraction of useful details.