§01The shift that\'s already happened
In 2022, if someone wanted to know the best project management tool for a remote team, they Googled it. They got a list of links, clicked a few, compared tabs, and decided.
In 2025, that same person opens Claude or ChatGPT and types: what project management tool should my 12-person remote team use? They get a direct answer — with specific product recommendations, reasons, and sometimes a link or two. They don’t click ten results. They act on what the model told them.
If your product isn’t in that answer, you were never part of the consideration set.
By 2027, analysts estimate that 25% of all branded discovery will happen inside an LLM — not Google, not social, not ads.
§02What is GEO?
Generative Engine Optimization (GEO) is the practice of ensuring your brand, product, or content gets cited when AI models answer queries relevant to your category.
It’s analogous to SEO — but instead of ranking on a search results page, you’re aiming to appear inside the model’s generated answer. The levers are different, the measurement is different, and the dynamics are different. But the core goal is the same: be visible when someone is looking for what you offer.
A brand with strong GEO is one that AI models reliably mention when asked about its category. A brand with weak GEO exists entirely outside the AI conversation — invisible regardless of its actual quality.
§03GEO vs SEO — what’s actually different
SEO and GEO are additive, not competitive. Here’s how they split:
The most important practical difference: SEO rewards authority, GEO rewards clarity. A smaller brand with a clear, well-structured explanation of what they do and why can outperform a category incumbent that writes vague product marketing copy.
§04Who this matters for
GEO matters for any brand where purchase decisions involve research — which is most B2B and considered B2C categories. The highest-stakes categories right now:
- SaaS and software tools — AI models are already the first stop for tool recommendations.
- Professional services — agencies, consultants, lawyers. People ask AI who to hire.
- Financial products — which bank, which platform, which fund. Queries are common and LLM answers are growing.
- Health and wellness — supplements, services, practitioners. High-stakes enough that models are cited heavily.
If your category has buyer-intent queries on Google, it has buyer-intent queries in LLMs. The only question is whether your brand shows up.
§05Where to start
The fastest first step is simply to measure where you are today. Most brands have no idea whether they’re being cited at all — let alone which models cite them, on which queries, and how often.
Run a free check on your domain. It takes 60 seconds and tells you:
- Your citation rate across Claude, ChatGPT, Perplexity, and Gemini
- Which queries you appear on and which you don’t
- Who your actual AI competitors are (they may surprise you)
Once you have a baseline, the next reads are how we calculate the score and how each model cites differently.