Advanced schema markup: feeding AI your prices, reviews and facts
"@type":"LocalBusiness", "priceRange":"$$". It's the single highest-leverage technical change most businesses can make for AI visibility, and it usually takes under an hour.Why structure beats prose, for a machine
A human reading your homepage can piece together that you're a dentist in Orillia who takes new patients and has 4.8 stars on Google. A language model reading the same page has to do the same inference — from unstructured text, under time pressure, across thousands of pages per query. Schema markup removes the inference step for the facts that matter most: who you are, what you offer, what it costs, and what other people think of it.
The schema types that matter most
| Type | What it tells AI | Use it for |
|---|---|---|
| Organization / LocalBusiness | Who you are, where you are, how to reach you | Every site — this is the foundation entity |
| Product / Service | What you sell and what it costs | E-commerce, service-based businesses with pricing |
| FAQPage | Direct question-and-answer pairs | Any page with an FAQ section — the single easiest win |
| Review / AggregateRating | What customers think, and how many agree | Businesses with real, verifiable reviews |
| Article | Authorship, publish date, and subject of a piece of content | Blog posts, guides, and news content |
| HowTo | Step-by-step instructions with a name and description per step | Instructional or process-based content |
What FAQPage schema looks like
FAQPage is worth calling out specifically because it's the most common highest-leverage-to-effort type: if you already have an FAQ section written in plain text, converting it into schema is close to free, and it hands AI models an exact question-and-answer pair to lift.
The critical rule: the schema text should match what's actually visible on the page, word for word or close to it. Schema that claims something the visible page doesn't say is a mismatch search engines and AI crawlers can detect, and it undermines trust rather than building it.
How to add it without a developer
- WordPress: plugins like Yoast SEO or Rank Math generate Organization, Article and FAQPage schema automatically from fields you already fill in.
- Shopify / e-commerce platforms: most modern themes include Product schema by default; check your theme's SEO settings to confirm it's active.
- Hand-coded or static sites: paste a JSON-LD block like the example above directly into the page's
<head>, inside a<script type="application/ld+json">tag. - Verify it: after adding schema, check that it parses as valid JSON — a single missing comma silently breaks the entire block.
Frequently asked questions
What is schema markup?
Schema markup is code, usually written as JSON-LD, added to a web page that describes its content in a structured, machine-readable format defined by the shared vocabulary at schema.org. It tells a crawler explicitly "this is an Organization named X" or "this is a Product priced at Y" instead of leaving the bot to infer it from prose.
Do I need a developer to add schema markup?
Not necessarily. JSON-LD schema is a small block of text placed in a page's head section, so it can be added by hand for simple sites, through a plugin on WordPress and most site builders, or via a tag manager without touching the site's core code.
Which schema types matter most for AI visibility?
Organization (or LocalBusiness) to establish who you are, FAQPage for question-and-answer content AI can lift directly, Product or Service for offerings with prices, and Review or AggregateRating to surface trust signals. Article schema helps for blog and guide content.
Does adding schema markup guarantee an AI citation?
No. Schema markup makes your content easier for a model to classify and extract correctly, which is a prerequisite for citation, not a guarantee of it. It has to be paired with content genuinely worth citing and corroboration from other trusted sources.
Does your site have the schema AI needs?
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