(Initial release – July 10, 2025)
This post introduces GEO‑Prime ELITE, a modular AI infrastructure designed to deliver citation-ready content across generative search engines (SGE, GPT‑Browse, Perplexity, etc.), using classic source texts.
🎯 Purpose
GEO‑Prime ELITE is a modular pipeline designed to generate citation-ready content for generative AI engines (SGE, GPT‑Browse, Perplexity, etc.) from classical source texts.
🧠 Pipeline Components
- RAG (Retrieval-Augmented Generation) with local vector database
- Logical fallback: hierarchy GPT‑4o > Claude > local model
- Post-processing steps:
- segmentation ≤ 80 words
- citation-readiness scoring
- JSON‑LD formatting
- LoRA fine-tuning based on AI citation scoring
- Cost governance (CAPEX/OPEX) + escalation model toward 70B-scale
📈 Business Goals
- Reducing no-click SEO
- Increasing citation visibility in AI engines
- Optimizing content for generative search
- Monetization via licensing, MVP rollout, or strategic sale
📁 Content
-
pitch-deck/: PDF presentation of the pipeline -
architecture/: modular system structure (coming soon) -
scoring/: citation-readiness criteria (demo or simulated JSON) -
uplift-study/: upcoming evaluation protocol
🔐 Intellectual Property
This repository constitutes a public proof of prior art for the concept, architecture, and logic behind GEO‑Prime ELITE.
Original author: Frédéric Clément-Tribouilloy aka Lapatride
Initial publication date: July 10, 2025
This project is protected under a custom license. See LICENSE.md on GitHub for usage restrictions.
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