SEO
Improve how search engines crawl, index, understand and rank useful pages for relevant queries.
Search Insights
Search, AEO and GEO through an operations lens.
This hub explains D2's working model for discoverability: technical access first, clear entities and evidence second, answer-ready content third, and recurring measurement throughout. SEO, AEO and GEO are treated as connected search capabilities rather than disconnected marketing trends.
Working definitions
AEO
Answer Engine Optimization: structure content and evidence so direct-answer systems can understand and retrieve a reliable response.
GEO
Generative Engine Optimization: improve the clarity, authority and retrievability of brand information for generative search and AI answer experiences.
The common foundation is evidence.
Different engines use different retrieval and ranking systems, so there is no universal tactic that guarantees inclusion. D2 focuses on controllable inputs: crawl access, canonical clarity, structured relationships, useful content, first-party proof, citations and monitoring.
Phase 7 authority map
Twelve Search intents, five tracks — URLs appear only after readiness passes.
The intent map is a planning layer. A supporting Search Insight appears only after a published + indexable content row passes parent-cluster, author, evidence, market and publication contracts.
Search & GEO foundations
Technical access, definitions and architecture before AI-specific optimization.
- • What is the operational difference between SEO, AEO and GEO?
- • Does llms.txt improve Google AI Overviews or Google Search visibility?
- • What belongs in a technical GEO checklist?
AI retrieval & citation
Query expansion, answer retrieval and citation readiness without guaranteed-placement claims.
- • How should content architecture respond to AI Mode query fan-out?
- • What makes a page more citation-ready for AI search systems?
Entities & evidence
Canonical identities, first-party proof and claim-level evidence architecture.
- • How should a business optimize entity clarity for Search and AI systems?
- • What is evidence architecture for SEO, AEO and GEO?
- • How can first-party data create Search and AI citation authority?
Measurement & audit
Search Console, AI visibility, citation coverage and operating feedback loops.
- • How should a business measure generative-AI search performance in Search Console?
- • What should an AI search visibility measurement framework track?
- • What should an AI search visibility audit include?
Commercial application
Apply Search/GEO to B2B and ecommerce buyer problems, proof and conversion paths.
- • How should GEO differ for B2B services and ecommerce brands?
Latest supporting Search insights
New supporting articles published into this knowledge graph.
This topic cluster remains repository-owned. The articles below come from Supabase, are server-rendered, and appear only after they are published and indexable.
Answer & evidence
What does D2 mean by SEO, AEO and GEO?
D2 uses SEO for crawlability, indexability, canonical architecture and search intent; AEO for direct-answer clarity and passage usefulness; and GEO for entity, evidence and citation readiness in generative retrieval. All three operate on the same canonical content and must remain measurable rather than becoming separate AI-only content layers.
Verify, model or inspect proof