GEO Infrastructure | Zennith AgencyGEO Infrastructure | Zennith Agency

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GEO Infrastructure

The technical foundation that makes your digital presence readable, citable, and trustworthy to AI engines. JSON-LD structured data achieves 94% citation accuracy in LLMs vs. 62% for plain text.

Zennith Agency · Generative Engine Optimisation

The Problem

01

No Schema Markup

AI cannot extract your services, credentials, or expertise from your website. It reads your pages as unstructured text and either misrepresents you or ignores you entirely.

02

No Entity Resolution

AI engines cannot confidently resolve who your brand is. Without a clear entity graph, you are invisible in the knowledge layer that governs AI recommendations.

03

No Baseline Measurement

You have no visibility into how AI currently represents your brand. You cannot improve what you cannot measure.

What We Build

Organisation + Service JSON-LD schema across all pages

Entity graph architecture connecting your brand to authoritative sources

AI citation baseline audit, current visibility across ChatGPT, Perplexity, and Google AI

Website citation restructure for passage-level extractability

FAQ schema library for your 20 highest-priority buyer queries

Phase-Gate Citation Accountability, before and after query audit

Frequently Asked

What is GEO Infrastructure?

GEO Infrastructure is the technical foundation that makes your digital presence readable, citable, and trustworthy to AI engines. It involves implementing JSON-LD schema markup, building an entity graph, and structuring your website so that LLMs like ChatGPT, Perplexity, and Google AI can extract and cite your brand accurately.

How does schema markup affect AI citations?

JSON-LD structured data achieves 94% citation accuracy in LLMs compared to 62% for unstructured plain text. Schema markup gives AI engines a machine-readable map of your content, telling them exactly what type of organisation you are, what services you offer, and what credentials you hold, without requiring them to infer it from prose.

What is an entity graph?

An entity graph is the network of structured, cross-referenced signals that AI engines use to resolve who your brand is and what it is known for. It includes your Organisation schema, Person schema for key team members, Service schemas for each offering, and sameAs links connecting your website to your LinkedIn, Crunchbase, and other authoritative profiles.

How long does GEO Infrastructure take to show results?

A measurable AI citation baseline is established within 30–45 days of schema deployment. Full citation frequency improvements are typically visible within 90 days. Unlike paid advertising, GEO Infrastructure compounds over time, the authority signals you build today continue working indefinitely.

What is the difference between GEO and traditional SEO?

Traditional SEO optimises pages to rank in Google's blue-link results. GEO (Generative Engine Optimisation) optimises your digital presence to be cited directly inside AI-generated answers from ChatGPT, Perplexity, Google AI Overviews, and Gemini. The two disciplines share some common ground but require fundamentally different technical approaches.

Start With a Baseline

Find out how AI currently sees your brand.