Generative Engine Optimization
When a buyer asks ChatGPT, Claude, or Perplexity which tool or consultant to use, the brands that get named win the deal before you ever see the lead. I get brands into those answers, run the play on my own brand first, and measure every citation rather than guess.
Buyers increasingly start research inside an AI assistant, not a search box. They ask for a shortlist, and the model returns a handful of named brands with reasons. If you are not in that answer, you are invisible at the exact moment a buyer is forming their consideration set, and unlike a search result, there is no second page to climb onto. The shortlist is the whole game.
Getting cited is not the same as ranking on Google. Models synthesize answers from sources they trust, structured in ways they can parse, corroborated across the web. Generative engine optimization, or GEO, is the discipline of earning that trust and structure. It overlaps with SEO but is not the same craft. See GEO vs SEO.
Restructure your key pages so models can extract clean claims: direct answers, structured data, comparison tables, and FAQ blocks that map to how buyers actually ask.
Schema, consistent entity identity, and the off-page corroboration that makes a model confident enough to name you.
Models love to cite specifics. I help you publish data and benchmarks that become the source they quote, the way I do with my own AI search benchmark.
A pipeline that tracks when ChatGPT, Claude, and Perplexity start naming your brand, so the work is measured, not assumed.
I measure how often the major engines name you today across your priority buyer questions, and where competitors are getting cited instead.
Rework citable pages, add entity and schema signals, and publish the original research that earns a citation.
Track citation share over time, double down on what gets quoted, and feed the data back into the next round of content.
I do not sell a play I have not run. I publish an annual benchmark on the state of AI search visibility and I monitor my own citation share across the major engines. The methods on this page are the methods I use to make my own brand show up when someone asks an AI which fractional CMO or GEO consultant to hire. Read the benchmark at the state of AI search visibility and the broader practice at GEO.
| Dimension | Traditional SEO | LLM citation / GEO |
|---|---|---|
| Goal | Rank a page on a results list | Get named inside a synthesized answer |
| Surface | Ten blue links | A shortlist of a few brands |
| Second chance | Page two exists | None; you are in the answer or invisible |
| Trust signal | Backlinks and on-page | Corroboration, structure, entity clarity |
| Measurement | Rank tracking | Citation-share monitoring across engines |
Citation work runs as a focused project or a retainer, and folds into a broader fractional or AI-marketing engagement.
2-4 week audit of your growth stack plus a 90-day roadmap. Fixed scope, converts to a retainer.
No honest consultant can guarantee a model output. What I can do is build the structure, authority, and original research that make a citation likely, then measure citation share so you see real movement rather than a promise.
SEO ranks a page on a list with a second page to fall back on. LLM citation work gets you named inside a synthesized answer where there is no second chance. The trust signals and measurement differ. See GEO vs SEO.
ChatGPT, Claude, Perplexity, and Google AI overviews, with monitoring across the major engines your buyers actually use.
Yes. I publish an annual benchmark on AI search visibility and monitor my own citation share. The methods I sell are the methods I run on myself first.
Citation-share monitoring: how often each engine names your brand across your priority buyer questions, tracked over time against a baseline.
It depends on your starting authority and content. Structure changes can shift extraction quickly; earning trust and corroboration is a multi-month compounding effort.
A fixed-scope diagnostic sprint runs $6,000 to $8,000. Infrastructure builds start at $5,000 per month. A full embedded operator engagement runs $8,000 to $18,000 per month.
Yes. Citation work is one piece of a broader GEO and AI marketing practice. See GEO and AI marketing.
Book a 15-min call. I will run a quick live check on how the major engines answer your buyer questions today.