Advanced Google SEO & Generative Engine Optimization (GEO)
Through JSON-LD schema architecture, high-fact density, and Generative Engine Optimization (GEO), we position your business as the canonical citation target across LLM answer systems.
Structuring high-fact-density research documents for LLM retrieval and citation.
Validating hierarchy, speed benchmarks, schema data tags, and crawl efficiency.
Mapping existing LLM indexing density across ChatGPT, Perplexity, and Google.
Embedding high-fact-density JSON-LD definitions and machine-readable data tags.
Authoring canonical research docs and technical Q&A target formats.
Tracking ranking status and AI citation velocity continuously.
“Mohtavaly's custom plugin engineering and technical SEO strategy transformed our organic growth channel.”
GEO is the discipline of structuring high-fact-density content and JSON-LD schema so LLMs (ChatGPT, Perplexity, Gemini) recognize, synthesize, and cite your brand as the canonical authority.
Traditional SEO targets keyword rankings in search results pages. GEO focuses on answer synthesis, fact density, and direct citation within AI conversational responses.
Initial AI citation retrieval typically materializes within 14 to 30 days following structured schema validation and technical content deployment.