Industry

When someone asks for a name in their city, be one of the names.

A playbook for local businesses, written for this vertical rather than copied from a neighbour.

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Buyer language

Prompts people ask AI in Local business

“Who near me does this work, and are they taking jobs this week?”

“Which local businesses avoid this issue: one homepage trying to rank for every town?”

“Which local businesses avoid this issue: inconsistent phone numbers?”

Follow-ups

Questions behind the prompt

“Who near me does this work, and are they taking jobs this week?”
“What should a local-business buyer verify before they shortlist vendors from an AI answer?”
“How do we reduce the risk that assistants repeat: one homepage trying to rank for every town?”

Citation map

Sources assistants already trust

Maps, reviews, and neighbourhood publishers.

Primary risk

A map profile that lists services, hours, or a service area you have left.

Asset to build

A site that matches the profile: services, cities, and a way to book.

Maps, reviews, and neighbourhood publishers.
Assistant answers that echo: One homepage trying to rank for every town
Assistant answers that echo: Inconsistent phone numbers
Assistant answers that echo: Stock photos of a different business

Engine angle

How answers form in this vertical

Local prompts combine maps, reviews, and ‘near me’ modifiers. We fix NAP drift before we ask models to name you for a city-specific job.

Operating plan

Sample 30-day action plan

Week 1
01Baseline
Approve prompts in the buyer’s words, including “Who near me does this work, and are they taking jobs this week?” Fix name and address drift on Maps, reviews, and neighbourhood publishers.
Week 2
02Asset
Service-plus-city pages only where you truly operate
Week 3
03Proof
A single source of truth for NAP
Week 4
04Report
Review themes turned into real FAQ answers

Ship log

Plays we execute

Service-plus-city pages only where you truly operate

Logged against the prompt it is meant to answer

A single source of truth for NAP

Logged against the prompt it is meant to answer

Review themes turned into real FAQ answers

Logged against the prompt it is meant to answer

FAQ

Industry-specific answers

Who is the buyer on a local business industry page?: A neighbour with a job, a budget, and a radius. We write for that person’s assistant query, not a generic “best local businesses” listicle. Copy is reviewed when your category requires it before anything customer-facing ships.
What prompt do we baseline first?: We start with a question in the buyer’s words, such as: “Who near me does this work, and are they taking jobs this week?” We add city, service, and competitor variants only after you approve the list. Each prompt is tagged named, cited, or absent on the engines you select.
Do you publish rankings or review scores?: No. If a number is not in your analytics or a source you can show a reader, it stays off the page. We report mention, citation, and share of answer on agreed prompts—we do not invent review scores or traffic lifts.

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Prompts people ask AI in Local business

“Who near me does this work, and are they taking jobs this week?”

“Which local businesses avoid this issue: one homepage trying to rank for every town?”

“Which local businesses avoid this issue: inconsistent phone numbers?”

Follow-ups

Questions behind the prompt

“Who near me does this work, and are they taking jobs this week?”
“What should a local-business buyer verify before they shortlist vendors from an AI answer?”
“How do we reduce the risk that assistants repeat: one homepage trying to rank for every town?”

Sample 30-day action plan

Week 1

01Baseline

Approve prompts in the buyer’s words, including “Who near me does this work, and are they taking jobs this week?” Fix name and address drift on Maps, reviews, and neighbourhood publishers.

Week 2

02Asset

Service-plus-city pages only where you truly operate

Week 3

03Proof

A single source of truth for NAP

Week 4

04Report

Review themes turned into real FAQ answers

Industry-specific answers

Who is the buyer on a local business industry page?

A neighbour with a job, a budget, and a radius. We write for that person’s assistant query, not a generic “best local businesses” listicle. Copy is reviewed when your category requires it before anything customer-facing ships.

What prompt do we baseline first?

We start with a question in the buyer’s words, such as: “Who near me does this work, and are they taking jobs this week?” We add city, service, and competitor variants only after you approve the list. Each prompt is tagged named, cited, or absent on the engines you select.

Do you publish rankings or review scores?

No. If a number is not in your analytics or a source you can show a reader, it stays off the page. We report mention, citation, and share of answer on agreed prompts—we do not invent review scores or traffic lifts.

Get the free AI Visibility Check