Strategic Intelligence Series
GEO SEO: Optimising for LLMs & AI Overviews
Traditional rankings are no longer enough in a generative search era. Generative Engine Optimisation (GEO) ensures your digital assets are cited as authoritative sources by Large Language Models (LLMs) like Gemini, SearchGPT, and Perplexity. By focusing on entity relationships and factual density, my coaching ensures your brand remains the definitive source for AI-generated answers.
Beyond Blue Links: The GEO Era
GEO is the technical evolution of The SEO Mullet Method. By perfecting the “Back End” of your site, we speak directly to the AI crawlers that power modern search. My coaching sessions dive deep into the mechanics of LLMs to move beyond simple keywords, focusing instead on machine-readable certainty and high factual density.
Strategic Coaching Specialisations
HCU Coaching
Structuring content to satisfy both HCU helpfulness criteria and AI retrieval needs.
N-E-E-A-T Coaching
Building external trust signals that LLMs use to verify your brand authority.
SEO Implementation
Applying technical optimisations that allow AI engines to digest and cite your data.
Technical Projects
Managing data architecture updates essential for high performance in generative search.
GEO & AI Search FAQs
How does GEO differ from traditional SEO?
While traditional SEO focuses on ranking in a list of links, GEO focuses on being the source of the answer. It requires more structured data, higher factual density, and clear entity relationships that AI models can easily parse and cite.
Why does HCU matter for AI Overviews?
Google’s Helpful Content Update (HCU) is the filter for what gets into AI Overviews. If your content doesn’t pass the “helpfulness” and “expertise” tests, LLMs are less likely to use your data in their generated responses.
What are “Factual Density” and “Entity Relationships”?
Factual density refers to the amount of verifiable information per paragraph. Entity relationships are the links between your brand and other known authorities. Together, they form the “trust signals” that AI models look for.
