Improve how conversational AI engines (ChatGPT, Gemini, Perplexity) map, resolve, and cite your brand. Future-proof your digital footprint for the LLM-driven search era with a pristine semantic data layer.

Entity Mapping & LLM Discovery Paths: Audit of how conversational AI models parse and correlate your site's core entities, brand identifiers, and primary relationships.

Semantic Graph Evaluation: Deep-dive analysis of your current structural metadata to eliminate vocabulary mismatches that confuse AI crawlers.

Information Grounding: Aligning your site architecture with LLM retrieval mechanisms to ensure highly accurate, high-trust citations.

We close the loop between high-level brand strategy and production-ready technical execution:

AI Visibility & Entity Grounding Matrix (PDF): A polished executive overview analyzing exactly where your brand stands in the conversational AI ecosystem and how models synthesize your market positioning.

JSON-LD / Schema Graph Code (.json / .md): Validated, production-ready Schema.org graph specifications formatted as copy-paste code blocks. Hand these directly to your developers to slice straight into your application code templates.

Our pricing is calibrated to the complexity of your core entity relationships, not just raw page count.

Static Marketing / Corporate Sites ($2,500 - $3,500): Mapping core brand, product lines, and leadership entities using valid JSON-LD graph specifications.

Standard B2B SaaS & Digital Platforms ($3,500 - $5,000): Deep mapping of modular product features, target integrations, dynamic pricing matrices, and author entity authority graphs.

Enterprise Architecture / Multi-Brand Systems ($6,000+): Full enterprise semantic graphs capturing interlocking entity networks across complex multi-domain environments or extensive knowledge bases.

⏱️ Timeline: Project duration is typically 2 weeks from the date all necessary platform, domain, and entity documentation paths are provided by your team.