AI Visibility Audit
A structured diagnostic review of your business's AI discoverability, entity clarity, structured data, content authority, trust signals, and competitor positioning.
Reviewed by Presara Systems AI Visibility Team · Built for AI search readiness, entity clarity, and machine-readable trust · Designed for businesses preparing for ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews
What the AI Visibility Audit Covers
The Presara AI Visibility Audit reviews twelve dimensions of business visibility, providing a clear picture of where your company stands relative to what AI systems need to understand, verify, and potentially recommend it.
Current AI Discoverability
Whether AI systems can currently find and reference your business in answer contexts.
Website Crawlability
Technical structure, indexability, and content accessibility for AI and search systems.
Structured Data & Schema
Presence, accuracy, and completeness of JSON-LD schema markup.
Entity Clarity
How clearly and consistently your business is described as a distinct entity.
Service Page Depth
Whether your services are described with enough specificity for AI interpretation.
Geographic Authority
Local signals, service area clarity, and map and citation consistency.
Content Authority
FAQ depth, expertise content, and authority page coverage.
Trust Signals
Review volume, recency, credential clarity, and social proof.
FAQ Readiness
Whether common customer questions are answered in machine-readable formats.
llms.txt Presence
Whether an llms.txt file exists and accurately represents your business.
AI Citation Potential
How eligible your business is to be cited by AI systems based on current signals.
Competitor AI Visibility
How your AI discoverability compares to key competitors in your market.
What the Audit Delivers
The audit delivers a written strategic report with findings across each dimension, competitor comparison, and a prioritized set of recommended improvements. The output is designed to be clear and actionable.
Current AI discoverability assessment
Structured data and schema review
Entity clarity analysis
Competitor AI visibility comparison
Content and FAQ gap analysis
Trust signal evaluation
Prioritized improvement recommendations
After the Audit
The audit is the diagnostic. The implementation is the work. After receiving audit findings, Presara Systems can build the improvements through AI Authority Systems services — including structured data, service page development, FAQ architecture, entity optimization, llms.txt creation, and ongoing AI visibility management.