AEO & GEO (AI Search)

Structured Data Implementation for Technically-minded businesses wanting the full SEO/AEO technical foundation done right

Comprehensive, correctly-implemented schema across every relevant page type, built specifically for businesses in the US, UK, Australia and Canada who need this without local agency pricing.

The technically-minded business wanting the full technical foundation done right

Basic FAQ schema is a start, but a truly AEO/GEO-ready website needs comprehensive structured data across every relevant page type — services, reviews, breadcrumbs, articles, local business details — and getting this wrong or incomplete quietly caps how well every other SEO and AI-visibility effort can perform.

Most sites that have any structured data at all have it implemented inconsistently — a plugin added years ago, a partial attempt that was never finished, or code that's technically present but contains errors invisible without dedicated testing.

A comprehensive, correctly implemented structured data layer isn't a visible feature to human visitors, but it's foundational infrastructure that determines how much of your other SEO, AEO, and GEO work actually gets recognized and rewarded by the systems reading it.

Worth knowing

Structured data errors are common even on sites that have attempted implementation — incomplete or incorrect markup can fail silently, meaning a business may believe it's covered when key opportunities are actually being missed.

What's costing you right now

  • Incomplete or incorrect schema markup limiting rich result and AI citation eligibility
  • No structured data strategy covering the full site, just scattered fixes
  • Technical implementation errors that go unnoticed without expert review

What changes with Digiland

  • Comprehensive, correctly-implemented schema across every relevant page type
  • A structured data audit identifying and fixing existing errors
  • A technical foundation that maximizes eligibility for rich results and AI citations
How it works

The process, built specifically for structured data implementation.

01

Structured Data Audit

Every page is checked against Google's own testing tools for existing schema, errors, and gaps.

02

Schema Strategy Mapping

The right schema types are mapped to the right page types across your entire site structure.

03

Full Implementation

Organization, LocalBusiness, Service, FAQPage, Review, Breadcrumb, and Article schema are implemented as relevant to your content.

04

Validation & Ongoing Maintenance

Every implementation is validated, with a plan for keeping it current as your site content changes.

What's included

Everything that goes into structured data implementation.

Comprehensive, correctly-implemented schema across every relevant page type

A structured data audit identifying and fixing existing errors

A technical foundation maximizing eligibility for rich results and AI citations

Validation against Google's official structured data testing tools

Coverage tailored to your actual content — no generic, one-size-fits-all templates

A maintenance plan for keeping structured data current as your site evolves

In practice

What this can look like for a business like yours.

Illustrative example

Illustrative example: a mid-size service business had FAQ schema added years earlier by a previous developer, but a site redesign since then had broken the implementation without anyone noticing. A full audit catches and fixes the broken markup, plus adds Service and Review schema that had never been implemented at all.

FAQ

Common questions about structured data implementation.

Organization, LocalBusiness, Service, FAQPage, Review, Breadcrumb, and Article schema, tailored to your site's actual content.

We run a full structured data audit using Google's own testing tools plus manual review, and report every issue found.

Initial implementation is one-time; we recommend a review whenever site structure or content changes significantly.

We audit existing implementation first and build on or correct it rather than duplicating conflicting markup, which can itself cause errors.

No — correctly implemented, relevant schema helps; incorrect or irrelevant markup can be ignored or even flagged as an issue, which is why validation and relevance matter more than sheer volume.

Ready to talk about structured data implementation for your business?

Free 15-minute audit — no pressure, just a clear picture of where you stand today.

Book My Free Audit →