Guides
SEO, GEO, and AEO Guides
Operator-facing explainers and workflows for connecting SEO foundations with visibility in AI-generated answers.
Foundations
What GEO, AEO, and AI search change about ordinary search work.
What Is GEO?
A field guide to generative engine optimization: how GEO differs from SEO, AEO, and LLMO, and how operators start.
What Is AEO? Answer Engine Optimization for AI Search
A practical definition of answer engine optimization for teams adapting SEO content to direct answers, AI summaries, answer boxes, and citation-ready page structures.
GEO vs SEO: How AI Answer Visibility Changes Search Work
A field guide to how GEO differs from traditional SEO, where the practices reinforce each other, and what operators should measure across rankings, citations, and AI answers.
GEO vs AEO
A field-guide comparison of GEO and AEO, with overlapping work, a decision tree, and when to start each workflow.
Measurement
Define AI visibility, then measure prompts, mentions, citations, and position.
What Is AI Visibility?
AI visibility is the presence, prominence, accuracy, and source support a brand earns inside AI-generated answers and AI search experiences.
How to Measure AI Visibility
A practical measurement workflow connecting SEO demand, prompts, AI answers, citations, competitors, and visibility changes.
Framework
AI Visibility Measurement Framework
Define Prompt, Presence, Proof, and Position so AI visibility work produces evidence, not anecdotes.
Citations
How answer systems pick, show, and rank sources.
Citability
Make a page easier to extract, attribute, and reuse in answers.
Audit workflow
Run a first GEO audit and turn the gaps into work.
Page-asset playbook
Validate demand, publish a sample cluster, connect trust signals, then decide what to scale.
Field Guide
Organic Search and AI Visibility Playbook
How to use the six-part hub for category demand, keyword maps, page assets, trust signals, examples, and a 90-day rhythm.
Category Demand Validation for SEO and AI Visibility
A field guide for deciding whether a category has enough search demand, AI-answer relevance, and conversion depth to scale.
SEO Keyword Library as a Customer Demand Map
A practical guide to turning SEO keyword research into page types, buyer tasks, AI-answer prompts, and measurable content priorities.
Page Assets That Google and AI Can Trust
A guide to building page assets with independent value, clear structure, evidence, internal links, and measurable AI-search relevance.
Framework
Internal Links and External Sources for AI Search Trust
A framework for connecting page assets, internal links, external evidence, and review signals into a credible AI-search visibility system.
Industry Page Asset Patterns for Ecommerce and Export Brands
A pattern library for adapting page assets to category depth, buyer questions, proof needs, and AI-search visibility opportunities.
Playbook
90-Day Operating Rhythm for SEO and AI Visibility
A 90-day playbook for validating demand, publishing sample page assets, measuring search and AI-answer signals, and deciding what to scale.
Field guide
How the long-form field guide sits next to the shorter operating pages.