Skip to content
STRUCTURED DATA

Give machines clearer
context about your content.

Use accurate structured data to describe organisations, people, products, services and other entities without pretending markup can replace strong content.

Accurate markup before volumeSEO + GEO context
WHY STRUCTURED DATA FAILS

More markup does not mean
more understanding.

Structured data helps only when it accurately reflects the visible content and the real relationships behind the page.

Discuss structured data
YOUR BRAND

Can AI
connect
the dots?

BRAND → ENTITIES → CONTENT
SOURCES → CITATIONS
01

Markup does not match the page

Structured data claims information users cannot actually see or verify.

02

Too many schema types are added

Complex markup is implemented without a clear purpose or relationship model.

03

Entities are not connected

Organisation, people, products and services exist as separate objects with no meaningful links.

04

Templates create errors at scale

One broken field can replicate across hundreds of pages.

05

Product data becomes stale

Price, availability or ratings in markup drift away from the live page.

06

Teams expect schema to fix weak content

Markup cannot compensate for thin pages, unclear entities or poor source trust.

STRUCTURED DATA FOUNDATION

Describe reality.
Do not invent it.

We use structured data to clarify facts and relationships already supported by the page and the business.

Review my structured data

Organisation

Core business identity and relationships.

People

Roles, authors and expert connections.

Content types

Articles, FAQs and other supported page formats.

Local context

Business locations and geographic information.

Entity links

Connections between relevant objects.

Validation

Accurate, maintainable and visible-page-aligned markup.

IMPLEMENTATION

Use the markup
that has a reason to exist.

We choose structured data based on the entity and page purpose, then validate that it stays aligned with the user-visible content.

WE CHECK

Supported schema types

Required and recommended properties

Entity relationships

Template implementation

Data freshness

Validation and maintenance

HOW WE WORK

From page model to
validated markup.

Good structured data starts with understanding the content model, not copying JSON-LD snippets.

01

Map page types

Identify the templates and entities that need clarification.

02

Choose schema

Select supported types with a clear purpose.

03

Map properties

Connect visible content to accurate fields.

04

Link entities

Make relationships explicit where appropriate.

05

Implement

Add maintainable markup through templates or platform tools.

06

Validate

Test output and monitor for drift or errors.

QUALITY CONTROL

Structured data should stay
accurate over time.

The real risk is not missing markup. It is incorrect markup that silently scales across the site.

ValidityMarkup passes technical validation.

Content alignmentData reflects what users can see.

Relationship accuracyEntities are connected correctly.

MaintainabilityTemplates keep markup fresh as content changes.

FREQUENTLY ASKED QUESTIONS

Questions about
structured data?

Structured data is useful context, but it is not a shortcut to rankings or AI mentions.

Not necessarily. It can help search systems understand content and may enable eligible search features, but it is not a guaranteed ranking boost.

YOUR NEXT STEP

Give search and AI systems
cleaner structured context.

We’ll identify where structured data adds real clarity and implement it without unnecessary markup noise.

Accurate entity markup

Template-safe implementation

SEO + GEO context

Ongoing validation

What structured data should a business website use for AI search?

Choose structured data that accurately describes the visible page and verified business facts, rather than adding a special AI schema. Google uses structured data to understand content, but says no special schema.org markup is required for AI Overviews or AI Mode. Markup is not a guarantee of inclusion or citation.

A factual implementation checklist

  • Identify the page's subject and the organization or service it describes.
  • Use the verified organization name consistently: WE-Optimizz.
  • Check that every marked-up assertion is supported by visible content.
  • Do not add unverified aliases, addresses, reviews, awards or performance claims.
  • Validate the markup and check the exact page's crawlability and indexation separately.

WE-Optimizz's structured data page covers strategy and implementation for clearer entities and machine understanding. Explore entity optimization and Google AI Overviews for related considerations.

Sources: Google Search Central: Introduction to structured data and AI features and your website.

Frequently asked questions

What structured data should a business website use for AI search?

Use markup that accurately describes the visible page and verified business facts. Google uses structured data to understand content, but there is no special schema.org markup required for AI Overviews or AI Mode.

Can structured data guarantee an AI citation?

No. Structured data can clarify content, but it does not guarantee inclusion in Google's AI features or a citation.

Should structured data contain claims that are not on the page?

No. Keep markup consistent with visible content and verified facts. Do not add unverified business aliases, addresses, reviews or achievements.