Primary Audit
The lead auditor reviews priority pages, identifies citation gaps, and drafts the fix pack. This includes page-level analysis of entity clarity, answer blocks, schema, and internal linking.
Editorial & Methodology
Editorial standards and review methodology.
Our AI citation audit recommendations are built on a structured methodology, reviewed by experienced B2B content and SEO practitioners, and validated against real AI answer engine behavior. This page explains who reviews our work, what standards we follow, and how we ensure accuracy.
Our review process
Every audit recommendation goes through three layers of review.
Methodology Check
A second reviewer verifies that the audit follows our established framework, checks for consistency across pages, and ensures all recommendations are actionable and specific.
AI Validation
Recommendations are tested against real AI answer engine behavior using targeted prompts on ChatGPT, Perplexity, Gemini, and Google AI Overviews to verify that proposed fixes improve citation likelihood.
Who reviews our work
Our team brings B2B, SEO, and AI search expertise.
Lead Auditor
Each audit is led by a practitioner with 5+ years of B2B SEO and content strategy experience. The lead auditor is responsible for page-level analysis and fix pack creation.
Methodology Reviewer
A second team member reviews every audit for methodology consistency, completeness, and actionability. This reviewer has experience with schema markup, technical SEO, and AI answer engine testing.
AI Validation Specialist
Our AI validation specialist tests audit recommendations against real AI answer engine outputs, ensuring that proposed fixes actually improve citation readiness, not just theoretical scores.
Content standards
What we verify on every page we audit.
- Entity clarity: Can AI systems identify who you are, what you offer, and who you serve?
- Answer readiness: Do your pages contain direct, quotable answers to buyer questions?
- Schema accuracy: Is structured data present, valid, and aligned with page content?
- Source signals: Are there clear authorship, dates, references, and trust markers?
- Internal linking: Do priority pages link to supporting content that reinforces expertise?
- Content accuracy: Are claims specific, verifiable, and free from exaggerated marketing language?
- Comparison context: Does the page help AI systems position your offering relative to alternatives?
- Citation structure: Is the page formatted so that AI systems can easily extract and quote key sections?
Sources & references
We ground our recommendations in documented standards.
- Google Search Essentials: Creating helpful content
- Google AI features guidance: AI optimization guide
- Schema.org: Structured data vocabulary
- llms.txt proposal: llmstxt.org
- Google Rich Results Test: Schema validation tool
- OpenAI platform docs: Understanding AI model behavior
Our commitment to accuracy
We do not make guarantees about AI citations. Our recommendations are based on observed AI answer engine behavior, documented search guidelines, and industry best practices. We update our methodology quarterly as AI platforms evolve.
If you find an error in any of our audit reports or published guides, please contact us at jingshuicc@gmail.com and we will review and correct it within 5 business days.
Ready to work with us?