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Data Extraction & Scanning
A deep scan of the target website URL is performed using Firecrawl to extract all semantic, textual, and underlying structural data.
This initial diagnostics layer build the foundational layer to discover the business and identify technical gaps that obscure their brands from local generative search and AI Visibility.
This audit evaluates a digital footprint's readiness for AI-powered discovery using a structured assessment framework across three foundational dimensions:
Methodology Summary: GEO & AI Visibility Audit
AI Synthesis & Evaluation
- Semantic & Technical Alignment: Assessing HTML structural hierarchy, XML sitemaps, JSON-LD schema, and image accessibility.
- Entity Signal Strength: Evaluating local NAP consistency across GMB and citation directories.
- Search Intent: Analyzing bilingual language bridging and content density for complex niche queries.
Roadmap & Execution
- 3 Phases of Structured Execution: Foundation, Kanowledge, and Authority XML sitemaps, JSON-LD schema, and image accessibility.
- Impact Matrix. Prioritizing low-effort fixes against long-term structural enhancements. Divided into actionable 90-day modernization phases: Foundation, Knowledge, and Authority.
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