When buyers ask ChatGPT, Perplexity, or Google AI for recommendations, are you in the answer?


Search is changing. Are you keeping up?

Understanding where you currently show up (and don't) across ChatGPT, Claude, Perplexity, Google AI Overviews, and other AI surfaces.
Structuring your content, so AI models can find, understand, and cite you as a source.
Creating the signals AI models use to determine credibility: mentions, citations, coverage in trusted sources.
Tracking how you show up in AI-generated responses over time and adjusting strategy accordingly.


Still focused only on traditional SEO
Treat AI visibility as a side project
Guess at what works
Content-only approach
Optimizing for where search is actually going
Integrated into everything we do
Test and monitor actual AI responses
PR + content + authority signals working together


Honest answers — the kind that help you choose with confidence.
Generative engine optimization (GEO) is the work of getting your company named inside the answers ChatGPT, Perplexity and Google's AI Overviews generate. When a buyer asks one of them to recommend a vendor, something decides which handful of companies get named, and GEO is the practice of being one of them. You'll also see it called answer engine optimization, AEO, LLM SEO, or AI search optimization. Four names, one job, no winner yet. Almost none of it happens on your own website, which is why SEO shops struggle with it.
GEO competes to be named inside a single generated answer, where SEO competes for a position on a page of links. There's no page two and no position seven. You're in it or you're not. The mechanics differ too. In our experience, language models weight what independent, credible sources say about you more heavily than what your own site says about itself, so journalists describing you as a leader in your category count for more than your homepage claiming the same thing.
A PR firm does this because most of the inputs are earned, not technical. Crawler access, structured data and consistent entity information all matter, and that's the fastest part to fix. After that you're competing on whether credible third parties describe you the way you'd describe yourself, which is a media relations problem wearing a search hat. Plenty of SEO shops sell this now. If your gap is technical, hire one of them. If your gap is that nobody outside your company writes about you, that's us.
You get cited by being written about, then waiting. Reporters often take a week or more to answer a pitch, and the story comes after that. That's the real clock behind an AI citation. The rest is housekeeping: get named in the roundups that already rank for your category, write so a paragraph can be lifted whole, and keep your basic facts identical everywhere. Models are unusually sensitive to contradiction.
We track whether your company appears in answers to relevant buyer questions, how it is described, and which sources are cited. Where analytics are available, referral visits and conversions can add context. Not every mention produces a click, and attribution has gaps. We show the underlying responses and trends without treating every AI mention as a sale.
Most companies see impact in three to six months. The lag isn't in the optimization work. Models refresh their indexes and retrain on their own schedule, so coverage you earn in March may not appear in an answer until summer. Companies that already have press coverage move fastest, because the raw material exists and the job is making it legible. Companies starting from no coverage at all are running a media relations program first and a GEO program second.




