Website Audit & Schema
Our white-label audit process reveals exactly what's holding a site back and how to fix it — mapped directly to entities search engines already understand.
Deep Technical Analysis
Most audits scratch the surface. We dive deep into the technical foundations that actually impact rankings. Our process combines traditional SEO analysis with entity mapping to ensure your site speaks Google's language. We analyze how your content aligns with established knowledge graph entities, reducing ambiguity and improving categorization.
- Technical foundations: crawlability, indexation, site speed, mobile UX optimization
- Information architecture: internal linking strategy, URL structure, topical coverage
- Entity alignment: mapping keywords to established Wikipedia and Knowledge Graph entities
- On-page signals: semantic headings, content structure, media optimization, schema gaps
Entity-First Methodology
We map your target terms to authoritative entities from Wikipedia and Google's Knowledge Graph, then align your pages to those specific nodes. This approach reduces semantic ambiguity and dramatically increases the likelihood that Google categorizes your content correctly from the start.
- Video review: comprehensive walkthrough of findings, priorities, and implementation roadmap
- LocalBusiness schema: fully developed JSON-LD with correct entity references and attributes
- Entity mapping document: showing how your keywords connect to authoritative sources
- Implementation guide: step-by-step instructions for technical and content improvements
Why Our Audits Drive Results
Entity Alignment
We connect your content to established knowledge graph entities, reducing ambiguity and improving relevance signals.
Actionable Insights
Every recommendation comes with clear implementation steps and expected impact, not just generic advice.
Schema Precision
Our LocalBusiness schema includes proper entity references and structured data that search engines trust.
