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SEO · Advanced · 271 minutes · free · updated Sep 2026

Programmatic SEO and AI Content at Scale — Without Getting Penalized

Build data-backed page systems and AI-assisted content that meet Google's spam policies, earn indexing and stay visible in AI search

Lessons
14 in 7 modules
Video lectures
14 lectures, 113 minutes
Updated
Sep 2026

Tools you'll use

  • Google Search Console
  • Search Console API
  • Rich Results Test
  • Schema.org JSON-LD
  • Python
  • pandas
  • scikit-learn
  • Jinja2
  • Screaming Frog
  • GA4
  • BigQuery
  • IndexNow

Start the course

About this course

Programmatic SEO can power a category-leading directory, marketplace or integration hub — or trigger a site-wide quality problem. The difference is data, design and discipline. This advanced course starts with what Google's spam policies actually say about scaled content abuse, site reputation abuse and AI-generated content, and when page systems deserve to exist. You will research query patterns (including Arabic, Urdu and Roman Urdu), source licensed and proprietary data, measure page uniqueness, and design answer-first templates with quality gates. You will build internal linking and structured data at scale, manage crawling and indexing with sitemaps, directives and staged rollouts, and use AI through grounded, validated workflows with editorial QA and E-E-A-T. Finally, you will track visibility in AI Overviews, AI Mode and answer engines, measure and prune by cohort, study case walkthroughs, and produce a launch-ready page system plan with a calibrated quality rubric.

What you will learn

  • Apply Google's spam policies and people-first guidance to decide which page systems deserve to exist
  • Research query patterns and validate intent across languages including Arabic and Roman Urdu
  • Source, license and combine data, and measure page uniqueness before publishing
  • Design answer-first templates with quality gates, internal linking and generated structured data
  • Manage crawling and indexing with per-type sitemaps, correct directives and staged rollouts
  • Run grounded AI content workflows with validation, editorial QA rubrics and E-E-A-T signals
  • Measure AI search visibility, prune by cohort, and deliver a page system plan with a quality rubric

Before you start

Course content

Google's rules and when pSEO fits

What Google's spam policies and people-first guidance mean for scaled and AI-assisted content, and which page systems deserve to exist.

Pattern research and data sourcing

Find query patterns with consistent intent and build the unique, licensed, fresh data that makes each page valuable.

Building page systems: templates, links and structured data

Design templates that turn data into answers, link thousands of pages sensibly, and generate valid structured data.

Indexing and crawl management at scale

Control what gets crawled and indexed with sitemaps, directives and staged rollouts, and read indexing as a quality signal.

AI-assisted content with editorial QA

Use AI where it adds meaning with grounded, validated workflows, and keep quality high with rubrics, sampling and E-E-A-T.

AI search visibility, measurement and case walkthroughs

Stay visible in AI search, measure page systems by cohort, prune safely, and learn from end-to-end case walkthroughs.

Capstone: page system plan with quality rubric

Design a launch-ready programmatic page system plan with a calibrated quality rubric and page mock-ups.

Certificate: Certified Programmatic SEO Strategist

The holder can design and operate programmatic page systems that comply with Google's spam policies. They research query patterns, build licensed and proprietary data layers, design gated answer-first templates with internal linking and structured data, manage indexing through staged rollouts, run grounded AI content workflows with editorial QA and E-E-A-T, track AI search visibility, and prune page systems by cohort.

Final assessment
25 questions, 45 minutes
Passing score
80%