Straight answers for local service business owners.

Our own study. 225 answers from ChatGPT, Gemini and Google AI Mode across 25 US cities. Asked who is best, they named a local business in 74 of 75 answers. Asked what the job costs, 31 of 75. When two engines name the best exterior painter in the same city, their lists overlap by 14.6% on average (names both gave, divided by names either gave). Raw data included.

The naming question settled in one sentence, then what actually moves the needle. The plain-English guide to the whole field.

The six signals that apply to every trade, and a table showing which ones the engines weigh most for painting, roofing, med spas, plumbing, HVAC, electrical and landscaping.

Free check. We run twenty real buying questions for your city through four engines and send you the screenshots, a score, and a ranked gap list. No call required.

What an answer-engine agency actually does, what to expect in ninety days, and our prices on the page.

Twelve sources ranked by cost per booked estimate, from referrals and AI citations at near zero to shared lead services at $400. Plus whether you own or rent each channel.

The four questions every owner asks, answered with numbers. Budget, cost per click, cost per lead, close rate, and the five leaks that triple the bill.

LSA is $20 to $70 a lead and search is $174 at the median, so why run both? An eight-row comparison and four fixes for each.

When Meta beats Google, when it loses, the cost and booking numbers side by side, and what the ad should actually show.

Clicks 30 to 50 percent cheaper, an older homeowner, a ten-minute import from Google, and the reason Bing is the road into ChatGPT.

Seven to twelve percent of revenue, in dollars at four revenue bands, how to split it across channels, and the one number that says whether it is working.

Five reasons quotes get ghosted and the seven-touch, thirty-day sequence that books 30 to 40 percent instead of 15.

Six automations worth building, in order, starting with missed-call text-back. Four things a marketing CRM should not try to do.

A month-by-month plan from October to March. What to switch, who to text first, and how to sell spring work in January.

Cabinet refinishing as the worked example: five keyword clusters, five pages to build, and the economics that make it the best line in the business.

Four stages from working in the business to owning it, what to fix at each one, and a five-question scorecard that tells you where you are.