A short, practical guide to generative engine optimization.
By Ronn Torossian — Founder & Chairman, 5W
I get asked this every week now. "What do we actually do about generative engine optimization? Where do we start?"
Here is the short answer. Three things. This quarter.
1. Audit your AI visibility now.
Every brand should know exactly where it stands in the AI conversation today. Run your category prompts across ChatGPT, Gemini, Perplexity, Claude, and Copilot. Capture what each engine says. Score yourself on appearance rate, ranking position, and factual accuracy. This is a one-time exercise that informs every downstream decision. If you don't know your baseline, you cannot improve it.
2. Build narrative density at every layer.
AI engines do not pull from a single source. They pull from many, and they reward consistency. Your story needs to live in your owned media, in earned press, and in authoritative third-party content — Wikipedia, industry indexes, broker analyses, structured directories. Press releases alone are not enough. A category leader needs depth across at least five layers of the public web. Most brands have presence at one or two.
3. Treat brand storytelling as infrastructure.
AI models train on your story for years after publication. The work you publish today is shaping the recommendation an AI gives a buyer in 2027. The brands that compound are the ones that treat story as infrastructure, not campaign — building durable, authoritative, well-distributed narrative at scale.
That is the work. There is more to it than three things, but three is enough to start. The brands that move on this in the next two quarters will be inside the AI shortlist when the buyer asks. The brands that don't will spend the next decade wondering where their pipeline went.
The future is here. Start now.
If you want to see a working example of the methodology, the South Florida AI Luxury 50 — co-published by 5W and Haute Living — is the first quantitative public benchmark of GEO performance in any consumer vertical.