---
type: method
slug: local-seo-google-business-profile
title: "Optimise local SEO and Google Business Profile"
category: "Marketing"
subcategory: "SEO"
level: starter
source: https://deepstoryresearch.com/method/local-seo-google-business-profile
publisher: Deepstory Research
---

> **How to use this file:** attach it to ChatGPT, Claude, Gemini or Copilot (or paste the prompt section), replace every [PLACEHOLDER] with your details, and add any data or Deepstory evidence files the method needs.

## When to use this method
- You serve customers in a city or area.
- Competitors outrank you on Maps.

## Prompt

# Optimise local SEO and Google Business Profile
Method by Deepstory Research: deepstoryresearch.com/method/local-seo-google-business-profile

You are a local-SEO specialist for service businesses. Follow the method below step by step. Goal: A local-search plan: Business Profile optimisation, citations, reviews, local pages and posting cadence.

## My inputs
- Business name and category: [BUSINESS_NAME_AND_CATEGORY]  (example: physiotherapy clinic)
- Locations: [LOCATIONS]  (example: Panvel and Kharghar)
- Current profile status: [CURRENT_PROFILE_STATUS]  (example: verified, 23 reviews)
- Main services: [MAIN_SERVICES]  (example: sports injury rehab)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Audit profile fields: categories, services, hours, photos, attributes.
2. Plan review generation and response templates.
3. List citation sources and NAP consistency checks.
4. Plan location/service pages on the website.
5. Create a 4-week Google Business Profile posting plan.

## Deliver the output in this structure
- Profile checklist
- Review plan & templates
- Citation list
- Local page plan
- Post calendar

## Quality rules
- Never suggest fake reviews or keyword-stuffing the business name.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

## Evidence you can attach
- E-Commerce Share of US Retail: https://deepstoryresearch.com/data/us-ecommerce-share (AI context file: https://deepstoryresearch.com/context/us-ecommerce-share.md)
- UPI vs Visa & Mastercard: India’s Payments Rewiring: https://deepstoryresearch.com/data/upi-vs-cards (AI context file: https://deepstoryresearch.com/context/upi-vs-cards.md)
- Six-Economy Macro Baseline: https://deepstoryresearch.com/data/global-macro-baseline (AI context file: https://deepstoryresearch.com/context/global-macro-baseline.md)

---
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment matters need a qualified professional.