0194/100
Technical Search Foundations
Crawlability, indexability, canonical directives, SSL, and server latency.
- Robots.txt & AI directives
- Sitemap index validation
- Canonical tag consistency
- Redirect chain analysis
Local · Free Interactive Tool
Local Visibility Audit with Instant Intelligence
Review the signals that help nearby customers find and trust your business. Discover actionable recommendations in 60 seconds with multi-agent AI analysis across technical search, GEO citability, and conversion signals.
100% Free Instant Analysis
No Credit Card Required
120+ Diagnostic Signals
AI Search & GEO Ready
marsentech.com/tools/local-seo-audit
AI Diagnostic Overview
Website Health & GEO Score
88/100Optimized
On-Page SEO92/100
Technical SEO85/100
AI Citability89/100
Critical Audit Findings
Missing llms.txt standard file for AI crawlers
Schema.org Service entity markup incomplete
Sub-second LCP & mobile viewport verified ✓
120+Audit Signals Checked
15+Specialized AI Agents
60sReal-Time Analysis Time
100%Actionable Fix Priorities
Interactive Workspace
Run Your Free Local Visibility Audit
Enter your details below to generate a real-time diagnostic report with prioritized fixes and actionable outputs.
Live Interactive Workspace
⚡
Initiating multi-engine inspection...
Connecting to crawler networks and parsing signals...
Comprehensive Audit Scope
6 Core Analysis Categories Analyzed
Every check evaluates real search, AI citation, and conversion signals—giving you a complete technical and commercial roadmap.
0288/100
AI Citability & GEO Readiness
Optimization for ChatGPT, Perplexity, Google AI Overviews, and Copilot answers.
- llms.txt standard coverage
- Entity disambiguation
- Answer extractability
- Citation graph authority
0391/100
On-Page Relevance & E-E-A-T
Heading hierarchy, semantic title tags, author proof, and search intent alignment.
- Title tag CTR optimization
- H1/H2 semantic hierarchy
- Meta description coverage
- Keyword topic clustering
0485/100
Schema & Structured Data
Google-compliant JSON-LD markup describing visible business facts accurately.
- Organization / Service schema
- BreadcrumbList validation
- FAQPage rich snippets
- Knowledge Graph alignment
0589/100
Performance & Core Web Vitals
Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and mobile responsiveness.
- Sub-second LCP optimization
- Zero layout shift (CLS)
- Mobile viewport readiness
- Next-gen WebP/AVIF formats
0692/100
Conversion & Action Paths
First-screen clarity, form friction, trust signals, and clear next steps.
- Hero value proposition
- Form field minimization
- Observable proof points
- Attributable CRM handoff
AI Search & Engine Coverage
Platform-Specific AI Search Intelligence
Different AI discovery engines evaluate your content differently. Marsen optimizes your presence across every major engine.
High Impact
Google AI Overviews
Search Engine Answer SynthesisRequires concise definition paragraphs, structured data, and high factual authoritativeness.
Trending
ChatGPT Search & OAI-SearchBot
Conversational DiscoveryLeverages /llms.txt standard files, clean markdown structure, and transparent citations.
Essential
Perplexity AI
Real-Time Citation EngineRewards direct answers to user queries, high domain trust, and extractable statistical claims.
B2B Focus
Microsoft Copilot
Enterprise & Office AssistantIntegrates with Bing knowledge entities, verified corporate domains, and schema annotations.
Prioritized Execution
Your 3-Phase Action Roadmap
We organize findings by implementation speed and commercial impact so your team knows exactly what to fix first.
Step 01
Phase 1 · Immediate Fixes (< 24 Hours)
Resolve critical blocking errors that prevent crawlers and AI bots from reading your site.
- Publish AI-friendly robots.txt allowing OAI-SearchBot and PerplexityBot
- Add missing meta descriptions to core landing pages
- Fix broken internal links and redirect chains
Step 02
Phase 2 · High Impact (1–2 Weeks)
Deploy structured data, optimize Core Web Vitals, and establish topical authority.
- Implement valid Schema.org JSON-LD (Organization, Service, FAQPage)
- Publish /llms.txt documenting company offers and core capabilities
- Compress hero assets to achieve sub-1.2s Largest Contentful Paint
Step 03
Phase 3 · Strategic Compounding (30+ Days)
Build automated pipeline workflows, AI inbound handling, and continuous citation monitoring.
- Set up automated AI lead capture via WhatsApp and CRM workflows
- Track weekly citation share across Perplexity and Google AI Overviews
- Scale programmatic and semantic search landing experiences
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Review public crawler access signals for major AI search and answer engines.
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Local Visibility Audit FAQs
Common questions regarding methodology, AI search optimization, data privacy, and implementation.
Is the Local Visibility Audit free to use?
The public entry flow is free and does not require a discovery call. Saved projects, recurring checks, connected workflows, and managed implementation may use a Marsen plan or separate service scope.
What does the Local Visibility Audit check?
Review the signals that help nearby customers find and trust your business. The full framework organizes findings around observable evidence and a useful next action rather than a decorative score.
What input does the Local Visibility Audit need?
Start with a public business domain. Additional live versions may request a page, location, company, or visible business facts when the analysis requires them.
Is the Local Visibility Audit runner live now?
The public page is in early access. It validates the starting domain and explains the complete analysis, but it does not claim to run an audit or fabricate a result before the live service is available.
Does Marsen invent a score when analysis is unavailable?
No. A score or finding appears only after real analysis. Input validation, early-access status, assumptions, and limitations are shown explicitly.
Do I need to create an account?
No account is required for the public flow. An account becomes useful for saving work, sharing projects, monitoring changes, connecting data, or scheduling recurring checks.
Is my input stored by this static page?
The current browser-side validation and calculator do not claim to upload or store an audit. A future live analysis will disclose its data flow and retention behavior before submission.
How long does a complete analysis take?
Timing depends on the tool, number of pages or sources, provider access, crawl limits, and the depth of evidence required. The live runner should show status instead of pretending every analysis is instant.
How should I use the result?
Verify the evidence, separate urgent blockers from lower-value improvements, assign an owner, and turn the smallest useful recommendation into a measurable action.
Does this replace a professional audit?
No single automated tool can understand every commercial, technical, regulatory, or operational constraint. Use it to focus investigation and support judgement, not replace it.
Can Marsen monitor the result over time?
Yes. Eligible findings can become saved projects, recurring checks, alerts, implementation work, and shared analytics through the relevant Marsen engine or Marsen One.
Can Marsen implement the recommendations?
Yes. Marsen can connect the result to Growth, Revenue, or Launch work, including strategy, content, development, integrations, controls, measurement, and ongoing improvement.