General Contractor Case Study: From Six AI Referred Enquiries a Month to Twenty Two
A three person remodeling contractor had six AI referred enquiries in a month. After adding priced project pages, a licence number, and a stated warranty, the next month brought twenty two, and eight became signed contracts.
A three person kitchen and bathroom remodeling contractor had been in business for eleven years on referrals alone. Nobody at the firm had ever asked how many calls started with someone typing a question into ChatGPT or reading a name out of Google's AI Overview. Once someone did ask, the answer for one full month was six.
The Month Before Anyone Asked
The owner started logging where every call and form submission actually came from, for one full month, before changing anything on the website. Forty five enquiries came in during that period. Six people mentioned ChatGPT or an AI Overview as part of how they found the firm, and none of the six turned into a booked job that month.
1. What The Old Site Gave Away
The firm's website had a photo gallery of finished kitchens and bathrooms with no captions beyond the town where the job was done. There was no page stating what a typical remodel actually cost, no licence number anywhere on the site, and no mention of who pulled the permits or how long the work was guaranteed. To a homeowner who already trusted the firm by reputation, the gallery spoke for itself. To an AI assistant comparing five remodeling contractors in the same area, there was nothing on the page it could actually repeat.
2. Three Changes, Made Over Ten Days
Nothing about the firm's pricing or the quality of the work changed. Three specific facts were added to the existing site over ten days.
- A written page for each of the six most recent projects, stating square footage, scope, timeline in weeks, and a price band instead of an unlabeled photo
- The firm's state licence number and issuing board, placed on every service page next to a plain statement that the firm pulls its own permits and handles inspections in house
- A five year workmanship warranty, stated in one sentence on every project and service page instead of buried in a contract PDF
3. The Following Month Told A Different Story
The owner kept logging every enquiry the same way. Total enquiries rose to fifty three the following month. Twenty two of them, close to half, specifically named ChatGPT or Google's AI Overview as part of how they found this contractor instead of one of the other remodelers in the area.
| One month before the changes | One month after the changes |
|---|---|
| 45 total enquiries | 53 total enquiries |
| 6 mentioned an AI assistant | 22 mentioned ChatGPT or an AI Overview |
| No price band, no licence number, no stated warranty | Priced project pages, a visible licence number, and a five year warranty on every page |
4. Calls Into Signed Contracts
Not every enquiry becomes a job, and this firm was no exception. Of the twenty two AI referred enquiries, eight were signed as paying jobs within two months, three kitchen remodels, three bathroom renovations, and two smaller repair and finish jobs. None of the eight mentioned getting a second quote before calling.
A model cannot recommend a price band it was never given or a licence it was never shown. It can only repeat what a contractor actually wrote down.
What This Means For Contractors
None of the three changes required a new website, a rebrand, or a marketing budget. They required writing down, in plain sentences, the facts an AI assistant needs to name one contractor instead of five identical looking ones: what a project actually costs, proof of who is doing the work, and what happens if something goes wrong afterward. Contractors waiting for a slow season to get around to this are the ones still showing up as six on their own version of this measurement.