AI Website Audit
Find the gaps in structure, machine-readable clarity, and content relationships.
Services
Implementation help for sites that need more than surface-level AI advice.
These services focus on structure ... content models, data layers, routes, glossary systems, FAQ content, directory scaffolds, and page clarity for AI systems.
Offers
Core service lines
Endpoint Setup
Publish AI-facing JSON and TXT files that reflect the real site structure.
Library Architecture
Turn disconnected content into a connected library of durable assets.
Services
Recommended next step
AI Website Audit
Audit the structure, crawl signals, data exposure, schema, and content model so the site can be understood by both human search and AI retrieval systems.
View serviceAI Endpoint Setup
Plan and implement public machine-readable files such as llm.json, LLM.txt, AI sitemaps, and related index layers that match the site's source data.
View serviceSchema and Content Modeling
Design page schemas, glossary schemas, directory schemas, and shared fields so every content type can scale without losing machine readability.
View serviceAgent Ready Page Design
Rework service and transaction-adjacent pages so an assistant can determine what is offered, who it is for, what steps come next, and what constraints apply.
View serviceLibrary Architecture Build
Create a connected library that includes articles, glossary terms, FAQs, directory pages, and public resources instead of a disconnected blog archive.
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