Generative engine optimization
for brands AI never mentions.

Generative engine optimization is the work of making an AI engine understand your brand well enough to name it in an answer. When someone asks ChatGPT or Perplexity for a recommendation, the model pulls from sources it can resolve and trust. GEO is about becoming one of those sources.

It is not a separate discipline with its own tricks. It is entity clarity, structured data, topical depth, and content worth quoting: the fundamentals, aimed at a surface that did not exist five years ago.

The confusing part is the naming. GEO, AEO, AI SEO, LLM optimization and AI search optimization all describe the same job. I use the precise terms here, but the work behind them is one thing.

• How to get cited in ChatGPT and Perplexity
• Entity SEO: how engines resolve a brand

The ranking goal changes, the mechanics mostly do not. Classic SEO wins a position on a results page. GEO wins a mention inside an answer that may never show a results page at all.

That shifts what matters. A page that ranks tenth can still be quoted as the source, and a page that ranks first can be summarised away with no click. So the target moves from position to being the citable source on a claim.

What carries over: crawlability, clean structured data, real authority, and honest content. What is new: writing so a single passage answers one question completely, because that passage is what gets lifted.

My position has not changed since I started doing this work. GEO is old SEO fundamentals applied to new surfaces. Anyone selling it as a secret system is selling the wrapper.

• SEO principles that still hold in the AI era
• Showing up in Google AI Mode and AI Overviews

Most of the work is unglamorous. We map what AI engines say about you, find where the entity breaks, fix the structured data, and then build the content that gives an engine something worth quoting.

The AEO side, answer engine optimization, targets the answer features directly: the passages, the schema, and the question-shaped structure that let a page be lifted cleanly into an AI Overview.

Then we measure. Not with a tidy ranking number, because none exists, but by tracking how often you get named across the prompts your buyers actually type.

• AI visibility tools I have tested
• What llms.txt does, and what it does not

Often it is just better SEO. If your site has crawl problems, a broken entity, or thin pages, no amount of AI-specific work will help. The engine cannot cite what it cannot read or trust.

I will tell you when that is the case. In nine engagements out of ten the first month looks like technical SEO, because that is what the foundation needs before anything AI-facing pays off.

You need this service specifically when the fundamentals are already sound and you are still absent from the answers. That is a different problem, and it has a different fix.

• Technical and on-page SEO
• What I learned running a store that sold through AI search