{01} — About

Venkata Pagadala — AI Product Owner & SEO Lead

I build AI systems that automate SEO at a scale that manual execution can't match. Currently leading AI & Automation at AT&T as Lead Technical Product Manager, shipping RAG pipelines, knowledge graphs, and programmatic SEO infrastructure across 50M+ pages. Not strategy decks. Production systems.

AI integrations connecting LLMs to live SEO data for automated keyword research and content optimization. A RAG-powered internal linking engine using vector embeddings and entity recognition. Automated pipelines that run technical SEO audits at scale. A market share content tool with geo-segmentation that generates 3-year roadmaps.

10 years in Technical SEO — the fundamentals that power how Google ranks content today. Site migrations, crawl budget optimization, structured data at enterprise scale, Core Web Vitals, international SEO. Tools: Botify (50M+ crawls), Screaming Frog, Ahrefs, SEMrush, BigQuery, Python.

Previously scaled SEO for CoStar Group (Apartments.com, ApartmentFinders.com, ForRent.com) and built technical SEO infrastructure across multiple verticals. Published researcher — "Google, SEO and Helpful Content: How AI Can Be Helpful for E-Commerce Websites" in the Journal of Digital & Social Media Marketing, December 2024.

Venkata Pagadala
10+
Years Experience
50M+
Pages Managed
25M+
Pages Audited Bi-Weekly
5.3M
Keywords Classified

Core Competencies

MCP
A2A
Claude Code
RAG Systems
Knowledge Graphs
Vector Embeddings
Cosine Similarity
Topic Clustering
LLM Optimization
GPT-4
Claude
Entity Recognition
NLP
AI Agents
JSON-LD
Canonical Tags
Crawl Budget
Log File Analysis
Core Web Vitals
hreflang
Site Migrations
Sitemaps
Google Cloud Knowledge Graph API
Botify
Screaming Frog
Ahrefs
Semrush
Google Search Console
BigQuery
SQL
Python
GA4
PowerBI

{02} — Experience

Career Timeline

AT&T

Lead Technical Product Manager, AI & Automation

March 2025 — Present

Atlanta, Georgia

  • Built AI-powered metadata automation with knowledge graphs and content guardrails (legal, brand voice), scaling to 100K+ pages with multi-model LLM testing
  • Shipped RAG-based internal linking engine using vector embeddings, cosine similarity, and entity recognition for intelligent link recommendations
  • Built topic clustering system using vector embeddings to map content relationships for programmatic recommendations
  • Led AI-powered internal search chatbot using RAG architecture for Answer Engine Optimization (AEO)
  • Architected unified JSON-LD schema system across fragmented engineering teams with dynamic generation from CMS/catalog feeds
  • Established enterprise crawl infrastructure (Botify 50M+ crawls) with SEO observability, Akamai CDN caching, and Core Web Vitals optimization
  • Built market share content optimization tool with nationwide and geo-focused analysis (state, city, zip) and L1-L6 classification
  • Unlocked 3-year content roadmap through systematic market share analysis with automated internal linking and schema validation

CoStar Group (Apartments.com)

SEO Product Lead (Level 3)

Oct 2022 — March 2025

Atlanta, Georgia

  • Owned technical SEO across 5 properties (40M+ pages); shipped AI-powered content translation (GPT-4) across 1M+ pages
  • Led cross-functional team of 6 in sprint-based development; built analytics dashboards (BigQuery, SQL, PowerBI)

American Addiction Centers

Senior SEO Software Developer

Apr 2019 — Oct 2022

San Diego, California

  • Led PHP to React.js migration; implemented JSON-LD structured data across 1M+ page healthcare portfolio

Dyad Ventures

Search Marketing Strategist

Jan 2018 — Feb 2019

    Sprout for Business

    SEO Manager

    Apr 2016 — Dec 2017

      Education & Certifications

      Disruptive Strategy
      Harvard University
      Cyber Security
      Massachusetts Institute of Technology (MIT)
      M.S. Computer Information Systems (GPA: 4.0)
      New England College
      MBA
      National Institute of Business Management
      B.E. Computer Science
      KL University