An answer engineer works both sides of the age of AI. The answers your customers see: ChatGPT, Perplexity, and Google’s AI Overviews name two or three businesses per question — I make you one of them. And the answers your business runs on: the quoting, reporting, and intake still done by hand — I build the custom agents that run them continuously, so you scale without hiring for it.
AI didn’t add a marketing channel — it replaced the doorway, and it’s replacing the back office. Every month you’re not in the answers, an AI is telling your customers, by name, to buy from someone else. And every week your team spends googling prices, assembling reports, and retyping intake forms, a competitor’s agents are doing the same work continuously, for nearly nothing. Both gaps compound. Lean in aggressively, or be left behind.
Google still decides who gets found — but a fast-growing share of buying questions are answered inside ChatGPT, AI Overviews, and Perplexity, where most SMBs are invisible and don't know it.
An answer engine names two or three businesses per question, not ten blue links. Being quotable — structured data, proof, presence in what the AI reads — is the new page one.
The agent leverage that used to need an enterprise budget now costs less than a part-time hire. The owners adopting it first are compounding while everyone else reads about it.
Every industry has its version of the same story: a smart person spending their day on work a purpose-built agent could run continuously. Pick yours — the console replays what a real agent run looks like.
“A quote request comes in, and someone on my team googles our own products — one at a time — to see what everyone else is charging, so we can figure out what to quote. Every quote. Every day.”
Quotes go out in minutes instead of afternoons, priced against today's market instead of last month's memory — and nobody's job is googling anymore.
Engineering decides how far you can scale; answer engines decide who gets discovered. I do both — that’s the point.
This is the deep end, and it's where I live. I find the most expensive manual process in your business — the quoting done by googling, the reporting that eats the first week of every month, the intake nobody can keep up with — and build the agents that run it continuously: scoped with you, wired to your data, delivered running with guardrails and your team trained. For agencies, that becomes a full agent hub running the repeatable 80% of delivery across every client.
When a customer asks ChatGPT what to buy, or Google answers above the links, two or three businesses get named. I find every question your buyers ask, price what each answer is worth in dollars, and run the plan that makes you the one that gets cited — in AI answers and on page one, because the same evidence wins both.
The answer landscape re-ranks itself constantly, and the agent frontier moves monthly; someone has to be accountable for your position in both. A standing seat at your table for search and AI decisions — what to adopt, what to skip, what to build — and a monthly review of the numbers that matter.
Capture is my audit engine. It pulls your live rankings, real search volumes, AI-assistant demand from a 200M+ query dataset, and the citations answer engines give your competitors — then prices every gap in revenue per month. Its Journey Map goes deeper still: it crawls your site, maps your buyer personas and their journeys, assigns every keyword and AI prompt to the page that should win it, and forecasts the capture month by month. You get the interactive audit, a client-ready report, and the Excel behind it. Run it yourself, free, right now.
Everything downstream of the audit is measured against the audit — same model, same dollars, no vanity metrics.
Drop your domain in. Live keyword + AI-answer data, a crawl-powered journey map of your site, every opportunity priced in $/mo, a board-ready report, and the Excel behind it.
Run your auditYour most expensive manual process, scoped and automated end to end — discovery, build, deployment, guardrails, and a trained team. Fixed scope, working software, no research project. Agencies: ask about the multi-client agent hub.
Book a scoping callThe audit's roadmap, executed: quick wins first, then the money clusters, then AI citations. Re-measured monthly against the baseline — progress in the same dollars we started with.
Start with the auditOngoing counsel for search + AI: monthly numbers review, decision support, and first call when the landscape moves. Cancel anytime.
Book an introVisibility: the free audit, live-data, priced in dollars. Automation: a scoping call on the manual process costing you most.
A sequence ordered by payback — quick wins fund the bigger builds, agents and citations compound on top.
Builds, sprints, or advisory — re-measured monthly against the baseline, in the same dollars.
Two sentences is plenty. I read everything and reply personally — usually within a business day. Prefer email? Write me directly.