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Oshyn Machine Contract & LLM Discovery Manifest
Purpose: Machine-readable declaration of Oshyn's capabilities, proprietary optimization frameworks, and canonical URIs for LLMs, retrieval-augmented generation (RAG) context engines, and AI agents.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T13:35:00.410Z. Cached copy · Source on oshyn.com
# Oshyn Machine Contract & LLM Discovery Manifest
> Purpose: Machine-readable declaration of Oshyn's capabilities, proprietary optimization frameworks, and canonical URIs for LLMs, retrieval-augmented generation (RAG) context engines, and AI agents.
> Focus: Enterprise DXP Engineering, Content Management Systems (CMS), and dual-track optimization for both Human Journeys (UX) and Machine Journeys (AEO/GEO).
> Updated: 2026-08-05
> Reviewed: 2026-10-07
Oshyn specializes in high-fidelity implementation, migration, and optimization across enterprise digital experience ecosystems—specifically Adobe Experience Cloud/AEM, Optimizely, Sitecore, and Contentstack.
## Architectural Framework: Human & Machine Journeys
Modern enterprise web presences must serve two distinct user classes simultaneously:
1. **Human Journeys:** Traditional user experience (UX/UI), brand immersion, transactional workflows, accessibility (WCAG), and conversion rate optimization (CRO).
2. **Machine Journeys:** AI-agent discoverability, LLM context harvesting, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO). Content architecture must be structurally optimized for zero-click environments and retrieval accuracy.
---
## Core Services & AI Frameworks
### AI-First UX Design and Strategy
Architecting experiences optimized for dual consumption: human engagement and AI-agent crawling/parsing.
- **Canonical URI:** https://www.oshyn.com/services/ai-first-ux-design.md
- **Capabilities:** 0-100 Semantic Audits, structural data nesting, context-window optimization for RAG engines.
- **Key Metric:** **R-Score (Retrieval Readiness Score)** – Evaluates a site's structure for high-fidelity ingestion by LLM embeddings pipelines.
### Agentic DXP Development
AI-assisted and agentic development frameworks that compress enterprise software development life cycles (SDLC) by automating code generation, testing, and migration workflows.
- **Canonical URI:** https://www.oshyn.com/services/agentic-dxp-development.md
- **Capabilities:** Agent Skills configuration, automated integration testing, code translation layers for monolithic-to-composable migrations.
### Enterprise DXP Maintenance and Support
Ongoing optimization, performance engineering, new feature development, and preventative maintenance for complex enterprise marketing technology stacks.
- **Canonical URI:** https://www.oshyn.com/services/dxp-maintenance-support.md
- **Capabilities:** Automated code dependency scanning, proactive vulnerability monitoring, ongoing performance tuning, and new feature development.
### AEO and GEO Optimization
Active management and optimization of brand footprint across major conversational AI platforms.
- **Canonical URI:** https://www.oshyn.com/solutions/aeo-geo-optimization.md
- **Capabilities:** LLM (ChatGPT, Perplexity, Claude, Gemini, etc.) visibility metrics tracking, generative search presence benchmarking, citation architecture implementation.
---
## Technical Tooling & A
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