Schema Implementation
Structured data tells AI systems exactly who your business is, what you do, and where you operate. It's one of the highest-impact changes a site can make — and most businesses haven't done it correctly.
How does schema markup improve AI citation likelihood?
We write, validate, and deliver production-ready JSON-LD schema markup tailored to your business and service structure. Schema is Layer 2 of the AEO Traction Stack — it gives AI platforms machine-readable confirmation of your entity, services, and location, which directly improves citation likelihood and recommendation accuracy.
Schema types we deploy
- Organization and LocalBusiness
- ProfessionalService and Service
- FAQPage and QAPage
- BreadcrumbList and WebPage
- Article where content supports it
- Person schema for founder and team entity signals
Who this is for
Any business that hasn't implemented schema, has schema that's incomplete or unvalidated, or has had schema errors flagged in an AI Visibility Audit. Suitable as a standalone engagement or as part of a broader AEO implementation.
Deliverables
- Production-ready JSON-LD code blocks for each schema type
- Implementation guide for your developer or CMS
- Validation report confirming schema passes Google Rich Results Test and Schema.org validator
- Notes on placement and maintenance for your team
Included with every AI Visibility Audit
Every paid audit includes a live AI Visibility Console — 11 metrics tracked across ChatGPT, Perplexity, and Gemini — plus a full PDF report with all insights captured. Most engagements start with the AI Visibility Audit. See a live example →
Frequently asked questions
What is schema markup and why does it matter for AEO?
Schema markup is structured JSON-LD code added to web pages that explicitly communicates your business identity, services, location, and content to AI systems and search engines. For AEO, schema markup is Layer 2 of the AEO Traction Stack and directly improves how AI platforms understand, verify, and cite your business in generated answers.
What schema types does AISearch Global implement?
AISearch Global implements schema types tailored to your business and service structure, including Organisation, LocalBusiness, ProfessionalService, Service, FAQPage, Article, BreadcrumbList, WebPage, and WebSite schema. All schema is written, validated, and delivered as production-ready JSON-LD.
Do I need schema markup for AEO?
Yes. Schema markup is one of the most direct signals available for improving AI citation readiness. It allows AI platforms to extract structured facts about your business without ambiguity, making it far more likely that your business is confidently cited in AI-generated answers.
How much does schema implementation cost?
Schema Implementation is priced at $750 to $1,500 AUD, depending on site complexity and the schema types required.
How long does schema implementation take?
Schema Implementation is typically completed within 5 to 7 business days. AISearch Global writes and validates the schema; your developer handles deployment.
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