AI Retrieval Intelligence Engine

Deterministic AI retrieval scoring engine that evaluates structural extractability, informational density, topic reinforcement, and citation readiness for AI-powered search systems.

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Overview

AI-powered search systems and retrieval models prioritize structured, informationally dense, and semantically reinforced content.

This project builds a deterministic scoring engine that models:

• Structural segmentation quality
• Section-level informational density
• Topic reinforcement strength
• Entity clarity
• Tone neutrality
• Citation readiness likelihood

Unlike traditional SEO tools, this system is designed to approximate AI retrieval behavior rather than keyword ranking metrics.

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Architecture

Backend (FastAPI)

Modular scoring engine:

• DOM extractability scoring
• Heading hierarchy modeling
• Section-level informational density
• Topic reinforcement analysis (lemma-based matching)
• Entity clarity modeling
• Tone neutrality scoring
• Weighted composite retrieval score

API Endpoint:

GET /api/score?url=<url>

Returns:

• Page-level retrieval score
• Metric breakdown
• Section-level retrievability analysis

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Frontend (React + TypeScript)

Premium dark dashboard including:

• Animated retrieval score counter
• Radar visualization (structural breakdown)
• Detailed metric bars
• Section-level scoring table
• Collapsible drill-down sections
• Executive summary generator
• Competitive comparison mode
• Winner badge logic
• Insight comparison summary

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Example Output

• Page-level retrieval score (0–100)
• Section-level informational strength
• Weak section detection
• Topic reinforcement modeling

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Why This Project Matters

AI retrieval systems extract and cite structured, informational content differently from traditional search engines.

This engine models:

• Citation likelihood
• Structural extractability
• Informational density
• Topic anchoring strength

It is part of a broader AI visibility intelligence stack including:

• Entity Audit Engine
• CTR Suppression Intelligence
• AI Crawler Detection Pipeline

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Tech Stack

Backend:

• FastAPI
• spaCy
• BeautifulSoup
• Python

Frontend:

• React
• TypeScript
• Recharts
• Vite

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Status

Proof of Concept complete.

Future enhancements may include:

• Optimization recommendation engine
• Audit persistence layer
• Exportable reports
• Competitive batch analysis
• Configurable scoring weights

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