Generative Engine Optimization
Start being the go-to recommendation from Generative Engines like ChatGPT, Gemini, and Claude. We make sure that these models can recognize and recommend your brand.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization is the technical process of structuring your brand’s online footprint so that AI models like ChatGPT, Gemini, and Claude can recognize and recommend your brand.
Everything that a Generative AI model knows about you is part of an "Entity Graph" that connects your business information, services, location, and even social media profiles into a mathematical representation of your business. This "Entity Graph" is a primary source for Generative AI models, and is at the core of GEO [1].
From Keywords to Vectors
In the Answer Era, we must consider more than just keywords. Generative AI models use vector search to determine relevance. This means they look at the mathematical "distance" between a user's question, search, or query and your content. If your website is filled with generic marketing fluff, you are invisible to these models.
We shift your content strategy toward Vector Density. This involves creating content that shows Experience, Expertise, Authoritativeness, and Trustworthiness (EEAT) [2]. By increasing these EEAT signals, the vector density of your content increases, encouraging Generative AI models to cite you as an authority when synthesizing a response to a potential customer.
Entity Graph Construction
Generative AI models don't just look at your website in isolation. Many sources of information including your website, third-party directories, Google My Business, social media, and more are used to build and graph your "Entity".
It's the model's source of information about your brand, and links all this content together for a full overview of your brand. If you have inconsistent information about your business across the internet, these Generative AI models get confused and lose confidence in your "Entity", then stop recommending you.
Our GEO strategy involves maximizing all of these factors in order to construct a clear Entity Graph that a Generative AI model can recognize and recommend.
The Ingestion Layer
Generative AI Models are constantly crawling the web for fresh information. If your website isn't easy for an AI crawler to parse, the model will abandon your website and won't recommend an unclear Entity.
We make sure that when these AI crawlers are requesting information from your website, that it's got the proper technical setup. This involves a JSON-LD schema markup, setting up a robots.txt and llms.txt document, creating vector-dense content with high EEAT signals, optimizing for token efficiency, and maintaining information congruency.
While this may seem like a lot, every piece is key to making your brand a clear "Entity" for Generative AI to both recognize and recommend.
Frequently Asked Questions
What is the difference between a "ranking" and a "citation"?
You may hear the term ranking in two contexts. One is the normal, traditional search ranking among the ten blue-links in a search result. The other is as a measure of where you are in a generative AI model's recommendation when inside a list of brands. AI models are "non-deterministic" unlike regular search, so your position in the list of recommendations may change if the same question is asked twice in a row.
A citation is when the AI is mentioning your brand, from information found about you on the internet, as a source for a response. As the internet increasingly adopts AI to make buying decisions, we believe that both are important, but a citation is more valuable in the context of website conversions as the user is already "pre-sold" on your expertise before ever landing on your site.
Does GEO involve writing for robots instead of humans?
Actually, it's the opposite. The best GEO strategy is creating content that is high quality and fact dense. Instead of marketing fluff, the best GEO strategy is having content that a human will get value out of. Content that is high in EEAT signals is high-value for a human reader and an AI crawler alike.
Stop Being a Mystery to the Machine.
We fine-tune your brand's internet footprint to be recognizable and recommendable to generative AI.
Citations & References
- arXiv.org (Cornell University). "GEO: Generative Engine Optimization for LLM-Based Search (2026 Revised Edition)."
https://arxiv.org/abs/2311.04246 - Search Engine Land. "Generative engine optimization (GEO): How to win AI mentions."
https://searchengineland.com/what-is-generative-engine-optimization-geo-444418