Local questions come with stories attached
Local customers give assistants context Google never got: “water heater died, two kids, need someone today who takes cards.” Assistants match that context against what they can verify about local businesses. The business whose public footprint answers the context wins the naming.
The local trust stack
Four sources decide most local AI answers: your Google Business Profile (hours, services, photos, accuracy), review consensus and how you respond to problems, consistent name-address-phone across directories, and a website that states plainly what you do, where, for whom, at what rough price. Boring accuracy is the whole game.
Say the things customers ask
“Do you charge for estimates?” “Are you licensed and insured?” “How fast can you come?” Publish the answers. Local pages that answer real questions in plain language become the pages assistants quote, and quoted businesses become recommended businesses. Your FAQ page is now your best salesperson.
Reviews are the local ranking algorithm
Assistants read review volume, recency, specifics, and your responses. A steady stream of detailed reviews mentioning specific services and neighborhoods teaches AI exactly when to recommend you. Ask every happy customer; respond to every unhappy one. It is unglamorous and it is decisive.
Check your town’s answers tonight
Ask ChatGPT, Gemini, Claude, and Perplexity who to call for your services in your area, phrased the way real customers phrase it. If you are absent or misdescribed, the causes are usually findable and fixable. Aethon runs the audit, fixes the sources, and monitors so the answer stays yours.