Home
Blog FAQs
EN 中文

What is a search & ai
audit?

A Search & AI Audit is a systematic technical evaluation designed for both traditional search engines and AI-driven discovery systems (LLMs). It goes beyond classic SEO checks by analyzing whether your site’s content, structure, and signals are properly interpreted, trusted, and surfaced by AI search engines and assistants. CONTACT US

Why Traditional SEO Audits Are No Longer Enough

Classic SEO audits focus on:

  • AI answers replace clicks
  • LLMs summarize instead of linking
  • Brand mentions matter more than rankings
  • Structured understanding outweighs keyword density

Solving SEO problems:

  • Semantic clarity
  • Entity recognition
  • Structured data completeness
  • AI-friendly content architecture

Core Components of a Search & AI Audit

Technical Crawlability & AI Readability

  • AI answers replace clicks
  • LLMs summarize instead of linking
  • Brand mentions matter more than rankings
  • Structured understanding outweighs keyword density
Ensure full content access for search engines and AI

Content Semantics & Topic Clarity

  • Topic focus and intent clarity
  • Semantic dilution or noise
  • Q&A and summarization readiness
  • Paragraph-level answer extraction
AI ranks understanding, not keywords.

Structured Data & Entity Signals

  • Schema coverage and accuracy
  • Brand, product, and author entities
  • Entity reinforcement via links
  • Verifiable information graph
Clear entities build AI trust.

AI Visibility & Citation Testing

  • AI search exposure checks
  • Citation and paraphrasing analysis
  • Context accuracy of references
  • Brand confusion or misattribution
Visibility without accuracy is a risk.

What Does a Search & AI Audit Deliver?

A full Search & AI Audit provides more than a checklist:

  • Actionable technical fixes
  • AI-oriented content structure guidance
  • Brand & entity reinforcement strategy
  • A prioritized roadmap for Search + AI growth
It is an engineering-grade audit built for the future of discovery.