SEO & Artificial Intelligence (AI) – Foundation Course

Last Updated on June 15, 2025

SEO Meets AI: Your Essential Beginner’s Course

Target audience: Beginners with basic knowledge of traditional SEO who want to understand how AI is changing and enhancing SEO practices.

Course length: 5 modules, each 3 hours (total 15 hours)

Outcomes: By the end of this course, participants will be able to:

  • Integrate AI meaningfully into SEO workflows
  • Strategically create content for GEO and AI search
  • Use tools effectively for analysis, planning, and optimization
  • Realistically assess the opportunities and limitations of AI in SEO

Optional Extras:

  • Prompt templates for SEO tasks
  • Tool overview (free / paid)
  • Sample data sets for keyword and content analysis
  • Template for content chunking
  • Final project (optional):
    Participants create a mini SEO strategy in small groups for a sample site, including keyword planning, AI-generated content, chunking structure, and a GEO approach.

Module 1: Understanding SEO in the AI Era

Goal:
Understand how AI is transforming SEO—from search behavior to content creation.

How AI is reshaping SEO? Actionable strategies to stay ahead of the curve:
What is AI SEO? How artificial intelligence is changing search optimization – searchengineland.com

Topics:

  • What is AI? What is Generative AI?
    AI simulates human thinking (e.g., chatbots). Generative AI creates new content (e.g., text, images).
    Understanding how AI generates content helps SEOs craft prompts and structure inputs for tools like ChatGPT to streamline ideation, drafts, and optimization tasks.

    Example: ChatGPT writes a blog post based on your keywords.
    Feed AI tools structured keyword clusters and content briefs to generate SEO-aligned drafts that require less manual rewriting.

  • How does Google SGE (Search Generative Experience) work?
    Google shows AI-generated answers directly above search results.
    To appear in SGE summaries, SEOs must focus on clarity, authority, and structured content that answers search intent directly.

    Example: Instead of 10 links, you see an AI section with summaries.
    Position your content as the “source” for AI summaries by using schema markup, AI content formatting, and first-party data.

  • What is GEO and how is it different from traditional SEO?
    GEO = Generative Engine Optimization — content is optimized for AI-generated answers, not just classic rankings.
    GEO requires creating content that is concise, answer-focused, and semantically rich, making it easier for AI to extract and reuse.

    Example: AI-friendly FAQs instead of just keyword-optimized paragraphs.
    FAQs should use natural language questions and brief, high-quality answers, increasing the chance of inclusion in AI-generated summaries.

  • Impact on content, keywords, and structure:
    Content must be more precise, structured, and helpful — for both people and machines.
    Use consistent H2/H3 formatting, bullet points, and question-answer formats to improve scannability for AI models and human readers.

    Example: Clear H2 questions, short answers, clean formatting.
    Build topical authority with clusters of related Q&A content — this improves your chances in both organic results and AI snapshots.

Practice:

Module 2: Keyword Research & Content Planning with AI

Goal:
Use AI to find relevant keywords and content ideas more quickly.

Topics:

  • Recognize long-tail keywords and search intent
    Long-tail = specific queries with strong intent.
    Example: “best hiking shoes for women with wide feet”
  • Prompts for keyword clustering
    A single prompt can automatically group related terms.
    Example: “Create keyword clusters for the topic vegan nutrition.”
  • AI tools for research
    E.g., ChatGPT (ideas), Frase (briefings), Semrush AI (data), AlsoAsked (questions)

Practice:

Module 3: Content Creation & Chunking with AI

Goal:
Create structured, AI-friendly content.

Topics:

  • Prompts for content briefings and outlines
    Example prompt: “Write a briefing for an article about remote work tips.”
  • Chunking strategies
    Content is divided into meaningful sections.
    Examples: FAQ, how-to steps, checklists.
  • Meta titles, descriptions, and headlines with AI
    Example: ChatGPT generates 5 versions of an engaging meta title.

Practice:

Module 4: Analysis, Auditing & Automation with AI

Goal:
Analyze and improve content and automate SEO processes.

Topics:

  • Content audit with AI
    AI identifies outdated content, gaps, repetitions.
    Example: “What’s missing on my nutrition page?”
  • Forecast performance and ranking chances
    AI can estimate if a text has ranking potential.
    Example: “What’s the ranking potential of this blog post?”
  • Tools for analysis:
    • Screaming Frog for technical checks
    • Google Search Console + ChatGPT for interpretation
    • SEO tools from SEO.com

Practice:

  • Review a blog post: quality, structure, value
  • Apply AI suggestions: new title, better meta description

Module 5: Ethics, Law & Future Outlook

Goal:
Use AI-SEO responsibly and with future-readiness.
Shaping the Future of Search Engine Optimization

Topics:

  • EU AI Act: What businesses need to know
  • Copyright & labeling requirements
    AI-generated texts can pose legal issues.
    Example: Who is the author of AI-generated content?
  • Transparency, fairness, bias
    AI can reflect biases — critical content review is necessary.
    Example: “Are the facts balanced and inclusive?”
  • Future-proof SEO
    Stay flexible: search engines evolve.
    Example: Focus on helpful content, not just keywords.
  • Tools & trends:
    Voice search, multimodal AI, real-time answers

Practice:

AI & SEO Work Better Together

Want more practical tips for combining AI and SEO to create content that serves your audience and boosts search rankings? AI supports you, it doesn’t replace you. https://warrenlainenaida.net/beyond-algorithms-using-ai-to-enhance-audience-first-seo

Here’s a breakdown of basic SEO tasks and how AI supports them:

Keywords

Basic tasks:

  • Use tools like Sistrix, SEMrush, Ahrefs for keyword research
  • Analyze intent behind target keywords
  • Map keywords to specific pages/content
  • Track keyword rankings and performance
  • Identify long-tail keyword opportunities
  • Monitor competitor strategies

AI applications:

  • Generate keyword variations and semantic alternatives
  • Analyze intent patterns across large keyword sets
  • Automate keyword difficulty scoring
  • Create content briefs from top-ranking pages
  • Predict trend keywords and search behavior

Local SEO

Basic tasks:

  • Claim and optimize Google Business Profile and Bing Places with accurate NAP (Name, Address, Phone)
  • List businesses in directories (e.g., Yelp, Yellow Pages)
  • Generate and manage customer reviews
  • Create local landing pages for multiple locations
  • Optimize for “near me” searches and local keywords
  • Build local backlinks

AI applications:

  • Automate listings and check NAP consistency
  • Generate localized content variations
  • Monitor and respond to reviews at scale
  • Analyze local trends and competitor strategies
  • Generate local keyword variations and clusters

On-Page SEO

Basic tasks:

  • Optimize title tags and meta descriptions
  • Structure content with proper heading hierarchy (H1–H6)
  • Optimize images with alt text and filenames
  • Improve internal linking structure
  • Ensure clean URL structure and breadcrumbs
  • Improve page speed and UX signals

AI applications:

  • Generate optimized titles and descriptions at scale
  • Identify content gaps and suggest improvements
  • Automate internal linking suggestions
  • Create schema markup
  • Generate image alt text
  • Optimize content for featured snippets and voice search

Off-Page SEO

Basic tasks:

  • Build high-quality backlinks via outreach
  • Create shareable content to attract natural links
  • Guest post on relevant sites
  • Monitor and disavow toxic backlinks
  • Build brand mentions and citations
  • Use social media to amplify content

AI applications:

  • Identify link-building opportunities
  • Personalize outreach emails at scale
  • Analyze competitor backlink profiles
  • Monitor brand mentions online
  • Generate linkable content ideas
  • Automate backlink quality scoring

Technical SEO

Basic tasks:

  • Ensure proper crawling and indexing
  • Optimize site speed and Core Web Vitals
  • Implement SSL and HTTPS
  • Create and submit XML sitemaps
  • Fix broken links and redirects
  • Optimize for mobile responsiveness
  • Implement structured data

AI applications:

  • Automate technical audits and issue detection
  • Generate structured data markup
  • Analyze logs for crawl optimization
  • Predict and prevent technical issues
  • Optimize server response times
  • Automate redirects for migrations

eCommerce SEO

Basic tasks:

  • Optimize product pages with unique descriptions/specs
  • Implement product schema for rich snippets
  • Optimize category and collection pages
  • Handle duplicate content for similar items
  • Optimize for shopping/product search
  • Use user-generated content (e.g., reviews)
  • Create comparison and buyer’s guide content

AI applications:

  • Generate unique product descriptions at scale
  • Create product comparison content automatically
  • Optimize product images and alt text
  • Personalize product recommendations
  • Analyze search trends for inventory/content planning
  • Generate FAQs from customer questions
  • Automate product feed optimization for Google Shopping

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Generative AI for Educators Certificate Abgeschlossen von Warren Laine-Naida am 29. Oktober 2024

This certificate verifies that the learner listed has successfully completed the two-hour Generative AI for Educators course.

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