How do I get my contracting business to show up in ChatGPT?

ChatGPT shows your contracting business when your website contains a page it can quote for the exact question a homeowner typed: your city, your trade, a price range, and a timeline, answered directly in the first 80 words. It does not reward slogans, review counts, or years in business. It rewards one page that answers 'who does X near me' or 'how much does X cost in [city]' clearly enough to lift two sentences from.

Why most contractor sites are invisible to AI

The average contractor site has a homepage, a services page, and a contact page. None of those answer a question. 'Quality work at fair prices, serving the tri-county area since 1998' gives an engine nothing to quote — no city by name, no job type, no number. When a homeowner asks ChatGPT who to call for a panel upgrade in Akron, the engine reaches for whoever published a usable answer. Usually that is a lead-gen directory or a national franchise, not the local shop.

• — Homepage hero text is marketing copy, not an answer.
• — The services page lists job types without prices, timelines, or conditions.
• — Reviews sit on Google and Yelp, where most engines cannot pull them into an answer.
• — No page names the towns you actually serve, one per line, as text.

The five pages that get a contractor quoted

Start with the five questions your customers already ask on the phone. Each becomes one page, and each page follows the same skeleton.

1. Cost: 'How much does [job] cost in [city]?' — give a real range and what moves it.
2. Timeline: 'How long does [job] take?' — typical days, what delays it.
3. Fit: 'Do I need [job] or [smaller fix]?' — the honest decision rule you'd give on the phone.
4. Process: 'What happens when you [job]?' — step by step, in plain order.
5. Local: 'Who does [job] in [city]?' — your service area, licensing, and what you do and don't take on.

The page recipe

• — H1 is the customer's question, word for word.
• — First 80 words answer it directly, with the city and a number in them.
• — Facts stated as facts: price ranges, timelines, license numbers, warranty length.
• — Author name and a visible updated date near the top.
• — A short FAQ block with FAQ schema markup — engines reuse those pairs verbatim.
• — Sources or links for any claim you didn't originate (code requirements, permit rules).

None of this requires new technology. It requires writing down what you already say to customers, in a shape a machine can quote.

How long it takes

Pages are usually picked up within two to four weeks of being indexed, but there is no guarantee any engine will quote you, and no one honest will promise one. The reliable way to know whether it worked is a fixed set of test questions — run them in ChatGPT, Grok, Perplexity, and Google AI Overviews on day 1, publish the pages, then run the identical questions again after 30 days and compare. That is the measurement AnswerBuild sells: a $149 Quick AI Visibility Audit runs 5 of your customer questions across the engines and shows you exactly where you stand before you spend anything on pages.

Sources

• — AnswerBuild's own method: 15-question audits scored 0–2 across four engines, pages built on the answer-shaped skeleton, 30-day reruns.
• — Related AnswerBuild guides below cover the general ranking method, why AI skips most small-business sites, and what FAQ schema does.