Claude for Local SEO: Automating GBP, Citations, and Local Content

Local SEO Has Too Many Moving Parts—Claude Fixes That

Local SEO is death by a thousand tasks. Google Business Profile optimisation, citation management, localised content creation, review response, local schema markup—each one is straightforward, but multiplied across dozens of locations, it becomes unmanageable fast.

I've been using Claude to systematise every repeatable local SEO task. As Lawrence Hitches, AI SEO consultant working with multi-location businesses, these workflows have cut what used to take days into hours. Here's exactly how.

Google Business Profile Optimisation at Scale

GBP is the foundation of local SEO, and most businesses underutilise it. Claude can generate optimised GBP content across every field that matters:

Generate optimised Google Business Profile content for a [business type] located at [address].

Include:
1. Business description (750 characters max) incorporating: [primary service], [location], [unique selling points]
2. 5 Google Posts (mix of offers, updates, and events) each under 300 words
3. 10 Q&A pairs that target common local search queries
4. Services list with descriptions (50-100 words each)
5. Product descriptions if applicable

Target keywords: [list primary and secondary local keywords]
Tone: Professional, locally relevant, avoid keyword stuffing.
All content must read naturally to a local customer.

For multi-location businesses, the real power is in templating. Create a Claude Project with your brand guidelines and GBP content framework, then swap in location-specific details for each branch. You get consistency with localisation.

Local Content Creation That Actually Ranks

Generic location pages don't work anymore. Google wants genuinely useful local content. Claude helps create pages that serve real local intent:

The key prompt pattern for local content:

Write a location page for [service] in [suburb/city].

Requirements:
- Reference specific local landmarks, streets, or areas within 5km
- Include genuine local context (not just city name + service)
- Address the specific needs of customers in this area
- Naturally incorporate: [primary keyword], [secondary keywords]
- Include a section on service area coverage with nearby suburbs
- Add LocalBusiness schema markup suggestions

Do NOT just swap city names into a template. Each page must have unique value for someone actually searching in this location.

Pair this with your keyword research to ensure each page targets genuine local search demand.

Citation Audit and NAP Consistency

NAP (Name, Address, Phone) inconsistency kills local rankings. Claude can audit citation data and flag discrepancies across directories:

Here is my business citation data from 25 directories (pasted as a table).

Correct NAP:
- Name: [exact business name]
- Address: [exact address format]
- Phone: [exact phone format]

For each citation:
1. Flag any NAP inconsistencies (even minor formatting differences)
2. Categorise the severity: Critical (wrong info), Moderate (formatting), Minor (abbreviation differences)
3. Prioritise fixes by directory authority
4. Draft the corrected listing for each flagged citation

Return as a table with columns: Directory, Current NAP, Issues Found, Severity, Corrected Version.

This is especially powerful when onboarding new local SEO clients. Export their citations from BrightLocal or Whitespark, paste into Claude, and have a complete audit in minutes.

Review Response at Scale

Responding to Google reviews matters for both rankings and conversions. Claude generates on-brand responses without sounding robotic:

Write responses for these Google reviews of [business name].

Brand voice: [describe tone—friendly, professional, etc.]
Business context: [what you do, key differentiators]

Rules:
- Thank the reviewer by name
- Reference specifics from their review
- For positive reviews: reinforce what they liked, invite them back
- For negative reviews: acknowledge the concern, offer to resolve offline, don't get defensive
- Keep each response under 100 words
- Never use the same opening twice in a batch

Reviews:
[paste reviews]

For the full checklist on what to optimise beyond reviews, see my local SEO checklist.

Local Schema Markup Generation

Structured data is essential for local SEO but tedious to write manually. Claude generates accurate LocalBusiness schema in seconds:

Generate JSON-LD LocalBusiness schema for:

Business: [name]
Type: [specific schema type, e.g., Dentist, Plumber, Restaurant]
Address: [full address]
Phone: [phone]
Website: [URL]
Opening hours: [hours per day]
Geo coordinates: [lat, long]
Service area: [suburbs/regions served]
Price range: [if applicable]

Include:
- aggregateRating if I provide review data
- hasOfferCatalog for services
- areaServed with GeoCircle or list of places
- sameAs for social profiles: [list URLs]

Validate against Google's structured data guidelines.

Run the output through Google's Rich Results Test to validate, then deploy. For multi-location businesses, use Claude Code to generate schema for every location from a spreadsheet of business data.

Competitor Local Pack Analysis

Understanding why competitors rank in the local pack helps you close the gap. Feed Claude your competitor data:

Analyse these 3 competitors ranking in the Google Local Pack for "[query]" in [location]:

[For each competitor, provide: GBP category, reviews count, rating, description, services listed, post frequency, website landing page URL]

Compare against my business:
[Your same data points]

Identify:
1. Category and attribute gaps
2. Review velocity comparison
3. Content gaps on their landing pages vs mine
4. GBP features they're using that I'm not
5. Specific action items to close the ranking gap, prioritised by likely impact

Building a Local SEO Automation Stack

The real efficiency gain comes from chaining these workflows together. Here's my recommended stack:

1. Claude Project per client/location group — loaded with brand guidelines, NAP data, target keywords, and competitor intel
2. Claude Skills — for repeatable tasks like monthly GBP post generation and review responses
3. Claude Code — for batch-processing location pages, schema, and citation audits from spreadsheets
4. Prompt library — saved in your prompt collection for the team to reuse

FAQs

Can Claude directly update my Google Business Profile?

No. Claude generates the content—descriptions, posts, Q&A, and responses—but you need to manually paste them into GBP or use an API-connected tool. The value is in generating high-quality, optimised content at speed, not in direct GBP access.

How do I make location pages unique when I have 50+ locations?

Give Claude specific local context for each location: nearby landmarks, demographic info, common local queries, area-specific services, and local case studies. The more unique input you provide, the more unique the output. Never just swap city names—Google sees through that instantly.

Is Claude better than dedicated local SEO tools?

Claude complements tools like BrightLocal and Whitespark—it doesn't replace them. Use those tools for citation tracking, rank monitoring, and data collection. Use Claude for the analytical and creative work: generating content, auditing data, writing responses, and creating schema.

How do I handle local SEO for a business with multiple service areas but no physical locations?

Claude can help you create service area content that targets each region without doorway page issues. The key is generating genuinely unique content for each area—different local context, different customer needs, different case studies. Feed Claude area-specific research data and it will produce content that serves real local intent.