AEO Strategies & Execution Procedures

Best AEO Strategies: Make Your Business AI-Readable

Actionable procedures for structured data, atomic answer blocks, entity authority, and RAG retrieval optimisation. Clear scope. Flat rates.

Micro-Sprints from $495 AUD ex. GST|Foundation Implementation from $3,195 AUD ex. GST
AEObility step-by-step AEO procedure guide illustrating atomic answer block structuring, nested JSON-LD schema, and RAG retrieval optimisation.
Deploy actionable AEO procedures on your website today.Typical delivery: 4–5 business days from confirmed scope and access.

Learn how AEO differs from legacy SEO on our AEO vs SEO Comparison page or review focused micro-sprints.

Choose Your Starting Point

Select a targeted micro-sprint, a comprehensive foundation implementation, or a diagnostic audit.

Quick Fix

AEO Technical Micro-Sprint

$495 AUDex. GST per sprint

One priority page or schema fix

Fix one high-impact AEO gap quickly: Structured Schema Deployment, Single Page Atomic Rewrite, or Category Answer Unit. Typically delivered in 4–5 business days.

When to choose:Outcome: Fix one high-impact AEO gap quickly. Ideal when you have a specific page or schema issue limiting AI search readability.

For technical teams: We implement nested JSON-LD schema graphs that tie your business facts directly to authoritative registries, paired with modular HTML blocks for clean passage extraction.

Full Implementation

Foundation Implementation

From $3,195 AUDex. GST

Connected multi-page & entity improvements

Implement connected improvements across structured data, atomic page rewrites, internal linking, and citation structures in a structured four-week engagement.

When to choose:Outcome: Implement connected improvements across your priority pages. Ideal when your business requires systematic AI visibility across multiple core services.

For technical teams: Multi-page schema integration, restructuring internal contextual links to pass explicit topical salience, and aligning citation records across platforms.

Diagnostic

The AEObility Blueprint

$995 AUDex. GST

Full digital audit & 90-day roadmap

Audit your website structure, entity signals, and query opportunities. Receive a practical 90-day prioritised implementation roadmap. The full $995 Blueprint fee is credited against a Foundation Implementation booked within 90 days.

When to choose:Outcome: Understand what is limiting AI visibility before investing. Ideal when you need a clear diagnostic plan before committing to implementation.

For technical teams: Practical audit of structured data gaps, entity clarity review, and query intent mapping.

Service / TierTarget ScopeBest ForPrice (ex. GST)
AEO Technical Micro-Sprint1 Defined Priority Page / Schema FixQuick fix for one specific issueFrom $495 AUD
AEObility BlueprintFull Digital Audit & 90-Day RoadmapUnclear what is limiting search visibility$995 AUD
Foundation ImplementationConnected Multi-Page & Entity FixesConnected improvements across core servicesFrom $3,195 AUD
Every AEObility Engagement includes:
  • One agreed business priority, specified schema deployment, or page rewrite work.
  • Validation checks, summary of completed changes, and handover notes.
  • Typical delivery: 4–5 business days for Micro-Sprints. View current service pricing and scope.
You own the agreed deliverablesUse completed code and handover notes with your internal developer, or ask AEObility to implement the agreed changes.

6 Core AEO Strategies for Machine Understanding

Actionable engineering procedures designed for modern search engines and AI platforms.

STRATEGY 01

Question-Based Semantic Headings

Structure content using H2 and H3 headings phrased as natural-language questions (e.g. 'What is included in an AEO sprint?'). This creates explicit conceptual boundaries that prevent context dilution during RAG scraper ingestion.

STRATEGY 02

Self-Contained Atomic Answer Blocks

Place concise 40–60 word answer summaries directly beneath section headings. Provide direct facts, numbers, and scope criteria so search systems can extract clean passages.

STRATEGY 03

Nested JSON-LD Schema Graphs

Inject explicit machine-readable context connecting Organisation, LocalBusiness, Service, and Offer nodes to establish entity authority.

STRATEGY 04

Contextual Internal Linking Lattice

Link core service pages to specific technical sub-nodes using descriptive, keyword-rich anchor text to pass semantic authority downward.

STRATEGY 05

Corroborated External Citation Alignment

Standardise business NAP data, directory citations, and brand facts to build machine trust across search engines and AI platforms.

STRATEGY 06

Passage-Level `@id` Anchor Mapping

Assign explicit element IDs (`#ss1micro`, `#bpstrat`, `#faq`) matching JSON-LD schema `@id` parameters to facilitate direct passage extraction.

Instant AEO Visibility Scan

Run a Free AEO Visibility Scan

Enter your website URL to check structured data, entity clarity, and AI search readiness signals.

We check website structure, structured-data setup, and content clarity for common visibility gaps.

We use your details to deliver your AEO visibility score and gap report. We will not add you to marketing communications without your consent.

Discuss Your AEO Priorities

Tell us about your business goals and Answer Engine Optimisation priorities. We will confirm scope and pricing before you commit. Confirm scope and pricing.

You will speak directly with Vince Baker in Perth to confirm feasibility before any work starts.

Send Your Project Details

AEO Scope Call

Select the option you are considering, or choose "Not sure yet: Help me decide" if you would like help deciding.

Clear scope. Fixed pricing. No lock-in contracts. Your privacy is protected.

Frequently asked questions

Everything you need to know about implementing AEO procedures.

The most effective procedures include structuring content with question-based H2/H3 headings, writing 40–60 word self-contained atomic answer summaries, deploying nested JSON-LD schema (Organisation, Service, Offer, LocalBusiness), and building contextual internal links.
Retrieval-Augmented Generation (RAG) models split long pages into text chunks for embedding matching. If a paragraph relies on vague context from three sections above, the RAG chunk loses meaning. Writing self-contained answer units prevents context dilution.