Generative Engine Optimization tactics — answer capsules, fact density, citation engineering — only pay off on solid foundations. Before investing in GEO, work through this checklist to confirm the prerequisites are in place. Each addresses one of the two dimensions AI answer engines look for: topical authority (breadth across a subject) and semantic depth (depth within one topic).

Step 1: Build a coherent content architecture

AI engines cite sources that show genuine command of a topic. Organize your content into coherent clusters — pillar, sub-pillar, and spoke pages interlinked so both breadth and depth are visible. A clean structure is what lets a model see the full scope of your expertise.

Step 2: Make your entity information consistent

Models cross-reference the web to decide whether a brand is real and trustworthy. Ensure your name, description, and key facts are identical across your own site, third-party directories, and social profiles — inconsistency makes you harder to categorize and trust.

Step 3: Establish your E-E-A-T signals

Confirm the credibility markers are present: named authors with real credentials, sources cited for claims, and verifiable case studies. These are the signals that tell an AI system your content is worth drawing on.

Step 4: Add complete structured data

Add valid schema — Article, FAQPage, Product, and Organization — on the relevant pages. Structured data is the machine-readable layer that helps AI systems understand your facts and the relationships between them.

Step 5: Make your content machine-readable

Give every page a clear heading hierarchy, atomic paragraphs that each make one point, and summaries, lists, and tables where they fit. This is what lets a model parse, extract, and attribute your content cleanly — the precondition for every GEO tactic that follows.

Full guide → Preparing for GEO: A Readiness Checklist