Generative Engine Optimization

1 Write for Questions, Not Keywords

• Use FAQ-style content that mirrors natural user queries
• Anticipate how users would ask a question to AI
• Create direct, comprehensive answers
• Example: Instead of "Best running shoes 2025," use "What are the best running shoes in 2025 for flat feet?"

2 Use Structured, Clear Content

• Use headings, bullet points, and simple formatting
• Include definitions, lists, comparisons, and summaries
• Create content with clear hierarchy and organization
• Use tables for comparative data when appropriate

3 Establish Digital Authority

• Be cited by reputable sources (news articles, Wikipedia)
• Publish expert-level, trustworthy content
• Build domain expertise in specific niches
• Get quoted in industry publications and research

4 Leverage Schema Markup and Metadata

• Implement schema.org tags (Product, Author, Review, etc.)
• Use semantic HTML to indicate content structure
• Create machine-readable data formats (JSON-LD)
• Provide explicit entity relationships in your data

5 Stay Active in Knowledge Ecosystems

• Participate in forums, directories, Q&A sites
• Build presence on platforms AI models scan for training
• Create content on authoritative platforms (Medium, LinkedIn)
• Contribute to open-source knowledge bases

6 Create Evergreen and Timely Content

• Keep content fresh and relevant with regular updates
• Include publication and "last updated" dates
• Balance timeless principles with current developments
• Create content that anticipates future questions

7 Focus on E-E-A-T Principles

• Demonstrate Experience, Expertise, Authoritativeness, and Trustworthiness
• Include author credentials and expertise signals
• Back claims with citations and references
• Maintain factual accuracy and transparency

8 Optimize for Voice and Conversational Search

• Use natural language patterns that match how people speak
• Structure content as conversation flows
• Include follow-up questions users might ask
• Anticipate multi-turn interactions with AI

1 Create AI-Friendly Data Sets

• Publish structured data in machine-readable formats
• Develop comprehensive resource libraries and knowledge bases
• Create specialized datasets that fill information gaps
• Make data accessible via APIs where appropriate

2 Develop Topic Clusters & Knowledge Graphs

• Build interconnected content ecosystems around core topics
• Create explicit relationship maps between content pieces
• Use canonical references and proper citation structures
• Maintain consistent terminology across your content

3 Optimize for Context & Intent

• Focus on solving specific user problems completely
• Provide contextual information that helps AI understand nuance
• Address multiple related intents within content clusters
• Include comparative analyses and decision frameworks

4 Build Multimedia Content Ecosystems

• Create transcripts and detailed descriptions for audio/video
• Use alt text and image metadata effectively
• Develop content that works across modalities
• Ensure accessibility features that also help AI comprehension

No More Ranking Battles

GEO doesn't rely on SERP positions—it's about relevance and trust rather than competing for limited slots at the top of search results.

Smarter Targeting

AI answers come from trained context and understanding, not just current popularity or keyword density algorithms.

Future-Proofing

As AI becomes the first touchpoint for research, GEO makes your brand AI-visible in this new paradigm of information discovery.

Better User Alignment

GEO content is designed for the way people talk and ask questions, not just how they search, creating more natural information flows.