AI & SEO Projects

Technical Showcase

Automation Modules & Custom Algorithms

Interactive Keyword Cluster Map

Live Visualization Demo

Status: Online Demo

An interactive data visualization of 10,000+ keywords clustered using Gaussian Mixture Models (GMM). This tool groups semantically related search terms to identify topical authority gaps.

  • Interactive Visualization: Zoomable, pan-able map identifying keyword relationships.
  • Machine Learning: Uses GMM to cluster high-dimensional embedding vectors.
  • SEO Strategy: Helps visual "islands" of content opportunity.
Tech Stack: Python (scikit-learn) D3.js GMM Clustering

Launch Live Demo 🚀

AI Content Engine (V3.1)

"Book Length" Editorial Pipeline

Status: Production (V3.1)

An autonomous orchestration system capable of generating verified, engineering-grade articles (5,000+ words). It solves the "short content" and "hallucination" problems common in LLMs by using a multi-agent architecture with strict context injection.

  • Context Injection: Injects extensive proprietary data (PIGs, Specs, Style Guides) directly into the prompt context window to guarantee accuracy.
  • Iterative Drafting: Splits research reports into "Chapters" and drafts them individually to maintain depth and coherence across long-form content.
  • Hardened QC: Feature specialized "Brand Compliance" agents that enforce negative constraints (Kill Lists) and validate technical stats against source documents.
Tech Stack: Python Deep Research Agent Context Orchestrator

Backlink Estimator (V4)

Predictive Ranking Algorithm

Algorithm: Domain Authority + Page Power Model

A predictive model that reverse-engineers the "Ranking Power" needed to top the SERPs. It calculates a composite score based on Domain Authority and tier-weighted page backlinks to prescribe an exact link-building roadmap.

  • Formulized Strategy: Output includes a dynamic Google Sheets model that auto-calculates the "Gap Remaining" as you acquire new links.
  • Tiered Weighting: Classifies backlinks into S, A, B, C tiers based on Domain Rank, Page Rank, and Spam Score to assign accurate "Power" values.
  • Domain Multiplier: Applies a non-linear multiplier to account for the "rising tide" effect of strong domains on individual page rankings.
Tech Stack: Python DataForSEO API Pandas/CSV

Guest Post Prospector

Agentic Outreach Workflow

Module: Search & Qualification

An agentic module that automates the discovery of high-quality guest posting opportunities. It pipelines search, qualification, and de-duplication to generate "campaign-ready" prospect lists.

  • Criteria Enforcement: Validates prospects against 3 core pillars: Active (recent content), Open (write for us pages), and Relevant.
  • De-duplication Logic: Merges results from multiple search operators to prevent redundant outreach and ensure unique domain coverage.
  • Structured Output: Delivers clean CSV files with direct links to submission guidelines and identified contact points.
Tech Stack: Python Search Agents Automated Scraping