[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODE2NTg","title","AI-Driven Growth Engineering. Programmatic SEO with GPT-4, Content Automation, and Analytics.","state","published","contactAuthorMethod","email","aboutText"," Unlock the Power of AI-Driven Growth Engineering with JavaScript, TypeScript, and Next.js!

Generating traffic and scaling conversion funnels manually is no longer viable in the age of AI. Modern growth requires technical systems that automatically discover search intent, synthesize high-value content, optimize user journeys, and measure performance in real time. AI-Driven Growth Engineering is your definitive, production-ready blueprint for building autonomous, scalable marketing platforms from scratch.

Written for full-stack developers, software architects, and growth engineers, this volume bridges the gap between Large Language Models (GPT-4) and modern web development (Next.js, TypeScript, Vector Databases, and PostHog).

What's Inside:

Programmatic SEO at Scale: Build dynamic Open Graph image generators using Next.js Edge functions, generate valid Schema.org JSON-LD markup, and create intent-clustered XML sitemaps using LangGraph.
Generating 1,000s of High-Quality Landing Pages: Master dynamic prompt engineering, few-shot prompting, and strict Zod runtime schema validation to eliminate AI \"slop\" and duplicate content penalties.
Core Web Vitals & ISR Architecture: Learn when to use Incremental Static Regeneration (ISR) versus Static Site Generation (SSG) for massive web properties while maintaining top-tier performance metrics (LCP, CLS, INP).
Vector Search for Internal Linking: Use embeddings and cosine similarity to build automated, semantic internal linking networks and content knowledge graphs.
Algorithmic A/B Testing & Copy Refinement: Automate copy experiment generation, evaluate statistical significance using two-proportion Z-tests, and create self-improving prompt loops.
AI Onboarding Concierges & Gamification: Construct adaptive onboarding flows with LangGraph stateful routing, personalized UI walkthroughs, and gamified reward loops.
Privacy-First Analytics & Sentiment Triage: Implement PostHog for cookie-less event tracking, perform Aspect-Based Sentiment Analysis (ABSA) on user feedback, and auto-generate corrective documentation.
The Auto-Marketing Engine Capstone: Assemble an end-to-end cybernetic growth system that ingests keywords, synthesizes content, deploys to a Headless CMS, and self-optimizes based on telemetry.

Every chapter includes deep theoretical foundations, clean \"Hello World\" scripts, production-ready advanced implementations, practical exercises, and fully worked-out solutions.

Take your growth engineering skills to the absolute frontier of modern web development—get your copy today!

Table of contents

Chapter 1: Next.js Metadata API & Dynamic OG Images

Chapter 2: Generating Smart Sitemaps

Chapter 3: JSON-LD Structured Data

Chapter 4: SEO Audits using LLMs (Automated Checks)

Chapter 5: Core Web Vitals

Chapter 6: Architecture of Programmatic Pages

Chapter 7: Generating 1000s of Landing Pages with GPT-4

Chapter 8: Ensuring Content Quality & avoiding 'Slop'

Chapter 9: Internal Linking Strategies with Vector Search

Chapter 10: ISR vs SSG for Large Scale Sites

Chapter 11: Referral Systems

Chapter 12: A/B Testing Copy with AI Variations

Chapter 13: Feature Flags

Chapter 14: Personalized Onboarding Flows (AI Concierge)

Chapter 15: Gamification Mechanics

Chapter 16: Privacy-First Analytics (PostHog)

Chapter 17: Sentiment Analysis of User Feedback

Chapter 18: User Feedback Widgets

Chapter 19: AI-Curated Automated Newsletters

Chapter 20: Capstone - The Auto-Marketing Engine

If printed, this ebook would span over 350 pages. Each chapter is structured into theoretical foundations, an annotated basic example, an annotated advanced example, and five coding exercises based on real-world scenarios with complete solutions.

","authors",[24],{"_12":25,"_26":27,"_28":29},"Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6UHJvZHVjdEF1dGhvci84NzI3Mg","name","Edgar Milvus","user",{"_30":31},"avatar",{"_32":33,"_34":35,"_36":37},"url","https://d39qdlcrvnra4b.cloudfront.net/avatars/3641525/medium/cervelo_profilo29__2025_-_2_43PM.png?1767015885","styleName","medium","exists",true,"shoppingCartId","shoppingCart",{"_12":71,"_72":73,"_74":37,"_75":76,"_77":78,"_79":80,"_81":37},"locale","en","readerTheme","light","constants",{"_69":70},"publishers",{"_65":66,"_67":68},"learnerOrganizations",[],"needsLocaleCookieSync",false,"announcements",{"_59":60,"_61":-5},"sentryEnvironment","production","sentryRelease","0330f027e61fea8fdfbea39d6e12230efce095a5","announcement_store",{"_62":52,"_63":64},"announcement_authors","flag","text","

Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

\n","companies",[],"universities",[],"paypalClientId","AX53Cwz8jR6rVVzzZiZNWWXl0dGagi-GZrjG-S3Ua14E5nrKMn7DxDQ730O4R8LusLPp49ALn6aRVaEy","no-cart","count",0,"free","updatedAt","","paymentGateway","STRIPE","cartItems",[],"loading"]

Email the Author