Complete JSON-LD implementation across your entire site — the technical foundation that makes AI systems understand, trust, and cite your brand. From $150.
TL;DR — SummarySchema markup (structured data) is the primary technical signal that AI systems like ChatGPT, Perplexity, and Google AI use to understand what a brand is, what it does, and whether it can be trusted as a source. Without correct JSON-LD schema, AI systems have to guess — and they often get it wrong or skip you entirely. This service implements the complete schema stack across your site.
Why Schema Markup is Critical for AI SEO
AI systems like ChatGPT, Perplexity AI, and Google AI Overviews don't just read your page text — they read your structured data. JSON-LD schema markup is machine-readable code embedded in your HTML that directly tells AI systems: this is a Person named X, this is an Organization called Y, this Service does Z, and this FAQ answers these questions.
Without proper schema markup, AI systems have to infer what your brand is — and they often get it wrong or skip you entirely. With correct schema, you're speaking AI's native language.
Schema markup is the single highest-leverage technical fix for Answer Engine Optimization. It's also the fastest — most implementations are live within 3–5 business days.
Schema Types We Implement
Person Schema
The most important schema for consultants, founders, and service professionals. Person schema establishes you as a named, citable entity with verifiable credentials, and links your profile to your LinkedIn, Upwork, Wikidata entry, and other platforms via sameAs markup.
Organization Schema
Establishes your company as a recognized entity — with founder linkage, area of service, contact information, and sameAs links to directories (Crunchbase, G2, Clutch). This is what makes AI systems say "Company X, founded by Y, specializes in Z."
Service Schema
Implemented on each of your service pages — tells AI systems exactly what service you offer, what it costs, who provides it, and what area it serves. Essential for AEO in service-category queries.
FAQPage Schema
Applied to every FAQ section across your site. FAQPage schema is one of the highest-impact AEO signals — AI systems actively retrieve FAQ content as pre-structured Q&A pairs, making it their preferred citation format.
Article & BlogPosting Schema
Applied to every blog post — includes Author schema, datePublished, headline, and speakable markup. This is what makes AI systems attribute your content to you as the author rather than citing it anonymously.
BreadcrumbList Schema
Site navigation structure markup that helps AI systems understand your site hierarchy and content relationships — improving topical authority recognition.
HowTo & ItemList Schema
For any process pages, comparison guides, or ranked lists — HowTo and ItemList schema makes step-by-step and list content directly retrievable by AI in structured format.
Review & AggregateRating Schema
Applied to testimonial and case study pages. AggregateRating schema signals social proof to AI systems in a machine-readable format — reinforcing trust and authority.
What's Included in the Service
Every schema implementation engagement includes:
Schema audit — full review of your current structured data (or lack of it) across all key pages
JSON-LD implementation — all schema types relevant to your business, injected correctly into your HTML
Validation — every schema block tested with Google Rich Results Test before delivery, zero errors
sameAs linking — connecting your entity to LinkedIn, Crunchbase, Wikidata, G2, and other verification sources
Priority schema first — Person, Organization, and Service schema completed in Week 1
Implementation guide — documentation of what was implemented and where, for your records
Pricing
Schema markup implementation starts from $150 for a single page or entity setup. Full-site implementation (all pages, all schema types) is priced as part of the AI SEO Audit from $297 or included in AEO service engagements. View full pricing →
Frequently Asked Questions
JSON-LD (JavaScript Object Notation for Linked Data) is a type of structured data markup that you add to your web pages inside a script tag. It tells search engines and AI systems exactly what the content on a page is — a Person, an Organization, a Service, an FAQ — in a machine-readable format. It is the recommended format by Google and the most compatible with AI retrieval systems.
Technical schema changes are typically picked up by AI systems within 2–6 weeks. Google AI Overviews often react faster — within 2–3 weeks of correct implementation. For ChatGPT and Perplexity, citation improvements usually appear within 4–8 weeks as they re-crawl your site. We track this for you as part of the engagement.
You can validate your schema using Google's Rich Results Test (search.google.com/test/rich-results). Once implemented, you should see your schema detected without errors. We also run a baseline citation audit before and after implementation so you can measure the impact directly in AI citation rates.
Schema markup is the essential technical foundation — but it works best as part of a broader AEO strategy. Schema tells AI what you are; content structure tells AI what you know; authority signals tell AI why you should be cited. We recommend combining schema with GEO content optimization and entity establishment for maximum citation rates.
Yes. We implement JSON-LD schema on WordPress, Webflow, Framer, Squarespace, Wix, Shopify, custom HTML sites, and any other platform that allows you to add custom code to your pages. If you're unsure whether your platform is supported, mention it when you book your strategy call.
For most B2B service businesses and consultants, the highest-impact schema types for ChatGPT citation are: (1) Person schema with sameAs links — establishes you as a named, verifiable expert; (2) FAQPage schema — ChatGPT actively retrieves FAQ content as pre-structured answers; and (3) Service schema — helps ChatGPT accurately describe what you do when asked category queries. These three should be implemented first.