AI search optimization for a concrete company
Homeowners have started asking ChatGPT and Google AI things like what a stamped patio costs in Boise, or who pours driveways in Macomb County. The answer gets assembled from your Google profile, your reviews, your service pages and whatever text a model can actually read on your site. Concrete companies lose here for a dull reason: most sites in this trade are a photo gallery with fifty words on them, and a model cannot quote a picture.
What wins is written specifics. Square foot ranges for your area, what tear-out and haul-off includes, your cure and drive-on windows, which towns you serve by name, whether you pour in November where you live. The mistake is buying a package that bolts schema onto a page answering nothing. Schema helps a machine parse an answer that already exists on the page.
Fourteen days will not move traffic and anyone promising that is guessing. What it moves is a fixed prompt set run from your metro, which is the only honest early signal available. You see whether your name comes back, and whose name comes back instead of yours.