When people ask AI who to hire, be the answer.
Your customers have started asking ChatGPT, Google’s AI answers, and Perplexity the questions they used to type into a search box — “who’s a good dentist in town,” “best tool for this job,” “how do I fix that.” The AI names a few businesses and skips the rest. Right now, you don’t know whether it names you. We make sure it does.
Search changed. Most websites haven’t.
For twenty years, marketing meant ranking in Google’s blue links. Now the AI often answers the question outright and the person never scrolls. Getting cited in that answer — not just ranked on a page few people reach — is a different job, with a different name: Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). That’s what we do, in plain English, measured.
What we do
- AI Visibility Audit — we ask the real engines the questions your customers ask, and show you exactly how you show up: cited, ignored, or described wrong. You get a clear picture and a prioritized plan.
- Make your site AI-readable — the structure, schema, and plain-answer content that let an AI understand what you do, who you serve, and why to recommend you.
- Content that answers questions — the pages, FAQs, and explanations AI engines actually pull from, written in your voice and grounded in what you really offer.
- Off-site authority — the mentions, listings, and citations across the web that AI models lean on when deciding whom to name.
- Monitoring — we track how your visibility and share of voice in AI answers move over time, and keep iterating. It’s a moving target; we move with it.
Who it’s for
- Main-street businesses — when someone asks an assistant for “a good [your trade] near me,” you want to be on the short list, described correctly, with the right hours and a reason to call.
- Tech firms and larger organizations — when buyers research whole categories through AI, you want to be the vendor it explains and recommends — benchmarked against competitors and improved every month.
How it works
It’s our name, applied to a new problem. Imagine — we audit how AI sees you today and where the gap is. Design — a prioritized plan for structure, content, and authority. Implement — we make the changes, then monitor and iterate as the engines evolve. You get a starting benchmark, honest reporting on movement, and no promises we can’t measure.
What you get
A clear answer to a question most businesses can’t answer yet — “when someone asks AI about what I do, what does it say?” — and steady, measured work to make that answer better. No hype, no black box: you’ll always know what we changed and why.