How to Do Local SEO with Claude: A Practical Guide to Local SEO Skills

Local SEO used to mean opening fifteen browser tabs: GBP dashboard in one, rank tracker in another, citation tool in a third, review monitor, keyword research platform, competitor analysis tool, spreadsheet for synthesis, document for the final deliverable. You gathered data from scattered sources, manually interpreted patterns, and typed recommendations that someone had to implement separately. The work was fragmented across tools that didn’t talk to each other, each requiring its own login, its own learning curve, its own subscription.

Local SEO Skills changes the workflow fundamentally. You type a natural language request describing what you want to accomplish. Claude — equipped with the skill library and connected to live data through MCP tools — executes the complete workflow: routing to the appropriate skills, pulling data from the right endpoints, analyzing patterns, and delivering actionable output. What previously required tool-switching and manual synthesis happens through conversation.

How the Local SEO Skills System Works

The system architecture has four layers that work together: your prompt, the dispatch skill, strategy skills, and tool skills.

You write a natural language prompt describing what you want. “Audit this HVAC company’s GBP and prioritize fixes by impact.” “Run a geogrid scan for this plumber in Denver and explain where they’re invisible.” “Generate a local SEO proposal for this dental practice.”

The dispatch skill reads your intent and routes to the appropriate skill combination. Dispatch maintains a routing table matching request patterns to skill combinations. A GBP audit request routes to gbp-optimization. A geogrid request routes to geogrid-analysis. A complex request might chain multiple skills sequentially.

Strategy skills contain the expertise. The gbp-optimization skill knows which attributes matter, how to evaluate category selection, what photo requirements exist, and how to prioritize fixes. The geogrid-analysis skill knows how to interpret 25-point ranking scans, identify geographic patterns, and explain visibility variations. Each strategy skill encodes practitioner knowledge in a form Claude can apply.

Tool skills handle data access. When a strategy skill needs live data, it invokes the appropriate tool skill. The localseodata-tool skill connects to Local SEO Data’s 36 API endpoints through MCP. The localfalcon-tool skill connects to Local Falcon’s geogrid tracking. Each tool skill knows its endpoints, authentication, parameters, and response formats.

The workflow in practice: you ask for a GBP audit → dispatch routes to gbp-optimization skill → that skill directs Claude to pull business_profile and local_pack data via localseodata-tool → Claude receives structured data → the skill guides analysis and prioritization → Claude outputs a complete audit with prioritized recommendations.

This dispatch routing is what makes the system feel like a single intelligent tool rather than 36 loose components. You don’t need to know which skills exist or which endpoints contain your data. You describe what you want, and the system handles the rest.

Installation: Three Ways to Get Started

Option 1: Claude.ai Upload

The Claude.ai upload path requires no command line access and works immediately. Download the skill files from the GitHub repository. Open Claude.ai and create a new Project. Upload the skill files to the Project context. Add the Local SEO Data MCP server through Project settings.

This path suits practitioners who want to start immediately without environment setup. The full skill library works through the Claude.ai interface. Limitations: you don’t have file system access for batch processing, and customizing skills requires re-uploading modified files.

Claude Code provides the fullest feature set for power users. Clone the repository, configure MCP servers, and skills load automatically into your Claude Code environment.

git clone https://github.com/localseo/localseoSkills
cd localseoSkills

Then configure your Claude Code MCP settings to include Local SEO Data and any specialist tools you use. The CLAUDE.md and AGENTS.md files in the repository provide context Claude needs to operate effectively.

This path suits agencies, consultants with technical comfort, and anyone who wants to customize skills for their workflows. You get file system access for batch processing, the ability to edit skills directly, and integration with existing development workflows.

Option 3: API Integration

For developers building Local SEO Skills into larger applications, the API path provides programmatic access. Pass skill files as system context in Claude API calls, include MCP tool definitions, and make API calls with natural language prompts. Dispatch routing works identically to interactive modes.

This path suits SaaS applications embedding local SEO intelligence, custom reporting tools pulling from Claude analysis, and automation systems that run local SEO workflows on schedules or triggers.

No coding knowledge is required for Options 1 and 2. Skills operate through natural language prompts. You describe what you want; Claude handles execution.

Your First Local SEO Workflows with Claude

GBP Audit

The GBP audit workflow evaluates a business’s Google Business Profile against optimization best practices and competitor benchmarks.

Run a complete GBP audit for [Business Name] in [City] and prioritize recommendations by impact on local pack ranking

Dispatch routes to the gbp-optimization skill. Claude pulls business_profile data through localseodata-tool, retrieving current categories, attributes, photos, posts, and Q&A. The skill guides systematic evaluation: category selection quality, attribute completeness, photo count and recency, post activity, review signals.

Output includes a prioritized recommendation list. High-impact items appear first: missing secondary categories that would expand query eligibility, incomplete attributes that competitors have completed, photo gaps, Q&A opportunities. Each recommendation includes the specific action and its expected impact.

Citation Audit

Citation audits identify NAP inconsistencies across directories and aggregators.

Run a citation audit for [Business Name] at [Address] and flag all inconsistencies

Dispatch routes to the local-citations skill, which invokes localseodata-tool’s citation_audit endpoint. Claude receives citation data across major directories and aggregators: where the business is listed, what NAP each source shows, which citations have errors.

Output categorizes citations by accuracy: consistent, minor variations (punctuation, abbreviation differences), and errors requiring correction. The prioritized correction list addresses errors by source authority — aggregator fixes propagate downstream, so they’re addressed first.

Geogrid Scan

Geogrid scans reveal geographic ranking patterns — where a business is visible in the local pack and where competitors dominate.

Run a 25-point geogrid scan for [Business Name] for the keyword "[primary service] [city]" and explain the pattern

Dispatch routes to geogrid-analysis skill. The skill invokes localseodata-tool’s geogrid_scan endpoint, which returns ranking position at each of 25 grid points distributed around the business location.

Output visualizes the ranking pattern and interprets it: “Strong visibility within 2 miles, but rankings drop sharply to the northwest where Competitor X dominates. The northwest pattern suggests Competitor X has stronger relevance signals for the query — likely better category match or more reviews mentioning the specific service.”

Competitor Analysis

Competitor analysis benchmarks a business against local competitors across multiple dimensions.

Run a local competitor analysis for [Business Name] versus their top 3 local pack competitors for [service] in [city]

Dispatch activates multiple skills: gbp-optimization for profile comparison, local-citations for citation gap analysis, review-management for review signal comparison. Tool skills pull comparative data through relevant endpoints.

Output shows where the target business leads, where competitors lead, and what gaps to close. “Competitor B has 3 more secondary categories expanding their query surface. Competitor A has 2x the review volume with higher recency. Target business has stronger photo presence and more complete attributes.”

AI Visibility Check

AI visibility audits test whether a business appears in AI-generated answers across platforms.

Check the AI visibility for [Business Name] in [City] across ChatGPT, Google AI Overviews, and Perplexity for [service category] queries

Dispatch routes to ai-local-search skill, which invokes ai_visibility and ai_mentions endpoints through localseodata-tool. Claude receives data on whether the business appears in AI answers, how it’s described, and what sources the AI systems cite.

Output reports visibility status per platform, description quality when mentioned, and gaps: “Business appears in Perplexity answers but not in ChatGPT recommendations. Likely cause: Bing Places profile incomplete, limiting ChatGPT Browse visibility.”

Client Proposal

The client deliverables workflow generates formatted documents ready for client presentation.

Generate a local SEO proposal for [Business Name], a [business type] in [City], including audit findings, recommendations, and pricing structure

The client-deliverables skill activates, orchestrating data pulls from multiple sources to inform the proposal content. Claude generates a complete proposal document: executive summary, audit findings, prioritized recommendations, scope of work, timeline, and pricing structure.

Output is a formatted document ready to share with prospects. The proposal incorporates actual audit findings — this isn’t a template; it’s a custom proposal informed by real data about the specific business.

How the Dispatch Skill Routes Your Requests

Dispatch reads your prompt and matches intent patterns to skill combinations. The routing table defines which prompts activate which skills. “GBP audit” routes to gbp-optimization. “Geogrid” or “ranking map” routes to geogrid-analysis. “AI visibility” or “ChatGPT presence” routes to ai-local-search.

For complex requests, dispatch activates multiple skills in sequence. “Full local SEO audit” might activate gbp-optimization, local-citations, review-management, and geogrid-analysis in sequence, with each skill’s output informing the next.

For ambiguous requests, dispatch makes reasonable interpretations or asks for clarification. A prompt like “help with local SEO” is too vague for specific routing; Claude may ask which aspect you want to address.

Writing effective prompts means being specific about the action and the target. Include the business name or identifier. Specify the geographic area for location-dependent analysis. Name the service category for query-specific research. The more specific your prompt, the more precisely dispatch routes and the more relevant the output.

Connecting Your Data Sources

Local SEO Data (Default — Start Here)

Local SEO Data is the recommended starting point for most practitioners. One MCP connection provides access to 36 endpoints covering the majority of local SEO data needs: local pack analysis, GBP profile data, citation discovery, review extraction, keyword research, competitive intelligence, and AI visibility testing.

API key setup involves creating a Local SEO Data account, generating an API key, and adding the MCP server configuration to your Claude Code settings. The Local SEO Data documentation includes exact configuration steps.

For most workflows, Local SEO Data covers the data requirements. You can run GBP audits, citation audits, geogrid scans, competitor analyses, review audits, and keyword research without additional tool connections.

When to Add Local Falcon

Local Falcon specializes in geogrid trend tracking over time. Local SEO Data provides point-in-time geogrid scans; Local Falcon provides historical trend data showing how rankings have changed across grid points.

Add Local Falcon when you need: ranking trend analysis over months, campaign performance measurement, or historical pattern investigation. The localfalcon-tool skill connects to Local Falcon’s endpoints for trend reports and historical data.

When to Add LSA Spy

LSA Spy provides Local Services Ads market intelligence. If you’re managing LSA campaigns or analyzing the LSA competitive landscape, LSA Spy offers data Local SEO Data doesn’t cover: bid estimates, competitor ad presence, market-specific LSA dynamics.

Add LSA Spy when you’re actively managing LSA campaigns or evaluating LSA opportunities for clients. The lsaspy-tool skill connects to LSA Spy’s market intelligence endpoints.

Other Specialist Integrations

Additional tool skills exist for Semrush (keyword gap analysis, backlink research), Ahrefs (backlink analysis, competitive research), DataForSEO (bulk data operations), and BrightLocal (citation building, reputation management). Each adds capabilities beyond the Local SEO Data default for specific use cases.

The dispatch skill knows when to route to specialists. A request for “backlink gap analysis” routes to Ahrefs or Semrush tool skills if configured. You don’t need to specify which tool — dispatch matches capability to request.

Using Claude for Client Deliverables

The client-deliverables skill specializes in generating formatted documents for client presentation. Rather than manually synthesizing Claude’s analysis into a proposal or report, you prompt for the deliverable directly.

Client onboarding workflow: run an initial audit, then generate a proposal based on findings, then create a scope of work document once the client signs on. Each document references actual data from the audit — specific issues found, specific recommendations made.

Audit reports format Claude’s analysis into client-ready documents. The raw analysis becomes an executive summary plus detailed findings plus prioritized recommendations plus appendices with supporting data. The formatting is consistent across clients, saving the time previously spent on document assembly.

Proposals incorporate audit findings automatically. The proposal doesn’t just describe services in generic terms — it names the specific issues found and the specific work required. This specificity converts better than template proposals.

What Claude Can and Can’t Do for Local SEO

Claude with Local SEO Skills can analyze, strategize, draft, audit, synthesize, and recommend. The skills encode expertise that Claude applies to data pulled from connected tools. The output is analysis and recommendations ready for action.

Claude cannot directly modify external platforms. Claude can tell you exactly which GBP attributes to add, but Claude cannot log into your GBP and add them. Claude can draft review responses, but Claude cannot post them to Google. Claude can identify citation errors, but Claude cannot edit directory listings.

The human-in-the-loop step is execution. Claude does the analysis and generates the action plan; you execute the changes on the relevant platforms. This is both a limitation and a feature — Claude doesn’t have your credentials, can’t make unauthorized changes, and keeps you in control of what actually ships.

This scope is expanding as tool capabilities grow, but for now: Claude is your analyst, strategist, and draft writer. You remain the executor who implements recommendations.

Scaling to Multi-Location and Agency Workflows

For agencies managing multiple clients or brands with multiple locations, Local SEO Skills scales through workflow patterns designed for volume.

Batch processing runs the same workflow across multiple entities. Rather than running individual audits for 50 locations, you can loop audit prompts across a location list. Each location gets the same systematic audit methodology. Output aggregates across locations, identifying which need intervention and what common patterns exist.

The multi-location-seo skill understands the specific challenges of managing at scale: enforcing brand consistency while accommodating local variation, identifying outlier locations needing attention, prioritizing optimization effort across a portfolio. A prompt like “identify the 10 locations with the biggest ranking gaps and explain what’s dragging them down” activates portfolio-level analysis.

Standardized deliverables ensure consistent quality across clients. The same proposal format, audit structure, and recommendation framework applies to every client. Junior team members produce senior-quality outputs because the methodology is encoded in the skills.

For agencies, Local SEO Skills isn’t just efficiency — it’s methodology enforcement. Your approach to GBP optimization, your citation priorities, your reporting format — these become consistent across the entire client base because they’re implemented in skills rather than individual expertise.