In 2024, 14 million U.S. adults used generative AI as their primary search engine. By 2028, that number’s expected to climb past 36 million, according to Statista.
We’re not just talking about adoption here. This is a major behavior change and a potential paradigm shift. Citing a Bain & Company study, the Clueless Company reported that “80% of consumers now rely on AI-generated content for at least 40% of their searches, leading to a potential 25% reduction in organic web traffic”.
Even Sam Altman, CEO of OpenAI, has acknowledged this evolution, having stated that ChatGPT has moved beyond being a simple Google alternative. While it initially "still felt like a more advanced version of search", its new focus is on helping users complete complex tasks and workflows.
As a B2B marketer, you may think: Why should I care?
Well, because this means that a significant portion of your audience will now discover your content via Large Language Models (LLMs) rather than Google searches.
So the question is: how do you show up when search becomes generative?
Traditional Search Engine Optimization (SEO) is about ranking higher on search engine results pages (SERPs). It’s built around what Google defined in 2022 as “Helpful Content” – keywords, backlinks, metadata, and formatting.
But with LLMs, visibility works differently.
Welcome to Generative Engine Optimization (GEO) – also known as LLM SEO or Share of Model (SOM) –, where the goal isn’t just ranking, it’s being cited, summarized, or referenced directly in AI-generated answers.
Let’s take an example. Someone is looking to add a new survey research tool to their research stack. They may go to an LLM and put in a prompt like “What are the top 10 brand tracking tools in the US?”, to which the LLM would return a bullet point list of 10 tools. If your tool shows up there, congratulations, you’re perceived by AI as authoritative.
Source: Google's Gemini
Although the goal of both SEO and GEO is the same – showcasing your content – this new paradigm requires a different set of tactics. While traditional SEO rewards keyword-rich, helpful content, GEO prioritizes authority and trustworthiness.
What does this mean for your content strategy? Optimizing for generative engines builds on the existing SEO “rules”, but there are some adaptations.
Here are seven tips to future-proof your content:
Beyond optimizing the content itself, your brand presence plays a big role in how – or if – you get referenced.
Measuring GEO success is different from traditional SEO, as it may not always result in a direct click to your website. Here are some ways to track your performance:
The future of search is no longer just about showing up on page one, it’s about being the source that AI turns to.
Optimizing for generative search is a mindset shift: not more, but better content – more connected, trustworthy, helpful, and conversational.
Creating content that connects with readers and ranks with AI isn’t easy, but you don’t have to figure it out alone. If you want content LLMs actually reference, we can help!