Strategy & Frameworks · Page 3
Business frameworks for AI search visibility — ROI, measurement, and content planning.
58 articles · Page 3 of 5
Content clustering for GEO: cluster types and linking rules
Reference of GEO content cluster types (pillar, supporting, FAQ, tools) and the internal linking rules that help AI search engines cite your pages.
Content Gap Analysis for AI Search
Identify and close content gaps that prevent AI search engines from citing your site. Step-by-step gap analysis for GEO and AEO visibility.
Content Pruning Framework for AI Search: When to Delete vs Refresh
Content pruning framework for AI search: a decision tree for deleting, redirecting, or refreshing low-citation pages without losing AI authority.
Content Refresh Strategy for AI Search
A systematic approach to refreshing existing content for AI search citations — scoring, prioritisation, refresh patterns, and cadence for ChatGPT, Perplexity, and AI Overviews.
Building an editorial QA for AI-citable pages: pre-publish checklist
A pre-publish editorial QA checklist for AI-citable pages: verify claims, structure, schema, and consistency so LLMs cite you correctly.
Entity-first content planning for GEO: building an entity coverage map
A framework for planning GEO content around entities: pick seed entities, map relations, score coverage, and prioritize articles to grow topical depth for AI search citations.
GEO Authority Signal Engineering: A 6-Phase Framework for AI Citation Trust
GEO authority signal engineering framework: a 6-phase model for building trust signals that lift AI citation rates across ChatGPT, Perplexity, and Gemini.
GEO Board Reporting Template
GEO board reporting template: a 12-slide quarterly structure covering AI search visibility, citation share, pipeline impact, and risk signals.
GEO Budget Planning: Resource Allocation
How to plan and allocate budget for GEO initiatives, including team resources, tools, content investment, and a method to right-size spend for your context.
Building a GEO Center of Excellence: Org Design and RACI for Generative Engine Optimization
Org design guide for a GEO center of excellence: centralized vs federated models, RACI, headcount, decision rights, and operating model for generative engine optimization.
GEO Content Decommissioning Reference: When and How to Retire AI-Targeted Pages
GEO content decommissioning reference: signals to retire AI-targeted pages, the 301 vs 410 vs 451 decision tree, and tactics to preserve citation equity when content ages out.
GEO Content Investment Tier Framework
A 3-tier framework for allocating GEO content budget by AI citation potential — Tier 1 canonical anchors, Tier 2 cluster spokes, Tier 3 supporting depth.