PRIME GEO · GENERATIVE ENGINE OPTIMISATION

Your buyers ask AI before they buy. The cited brand wins

When ChatGPT, Gemini or Perplexity answers a buying question, it cites a handful of sources and recommends a handful of brands. Prime GEO is a structured programme that puts your brand in that answer — readable, identifiable, extractable and trusted by every major AI engine — and measures it by citation share.

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Four principles that hold as AI engines evolve

Effective GEO is judged by whether AI engines cite and recommend a brand, not by where a page ranks in a list of links. The leading AI-search agencies operate on four shared principles, and the same discipline is applied to every engagement here.

Principle 01

Citation, not ranking

AI engines answer in synthesised prose and cite a handful of sources. The objective is to be one of those cited sources, consistently, across every major engine.

Principle 02

Extractable by design

Engines break a page into passages and read each one alone. Content is structured so an engine can lift a clean, self-contained, accurate answer.

Principle 03

Entities and authority

Structured data makes a brand identifiable; earned third-party signals make it trusted. AI engines favour corroborated sources over self-description.

Principle 04

Measured by share of model

Success is tracked as citation share and recommendation position across engines and prompt clusters, monitored over time rather than by traffic alone.

**AI engines cite brands that meet four conditions**

A brand earns citations when AI engines can read its pages, identify its entities, extract clean answers, and corroborate it against trusted third-party sources. Brands that meet all four conditions are cited and recommended; brands that miss any one of them are simply absent from the answer.

AI engines retrieve content through retrieval-augmented generation: they fetch live pages at answer time, break each page into passages, and cite the sources they judge most relevant, well-structured and credible. Research from Princeton and Georgia Tech presented at KDD 2024 found that adding statistics, expert quotations and authoritative citations can lift a source's visibility in AI answers by up to 40%.

AI-referred traffic rose sharply through 2025, and Gartner projects traditional search engine volume to fall 25% by 2026 as queries shift to conversational interfaces. Visibility in this environment is built across four layers, in order — each one a prerequisite for the next.

The GEO Stack: four layers, built in order

Every engagement is engineered bottom-up. A page that cannot be read will never be cited; a brand that cannot be identified will never be recommended. Each layer unlocks the one above it.

Technical foundation & AI crawlability

AI crawler access is opened and verified, content is served server-side rather than hidden behind JavaScript, and an llms.txt file helps engines understand the site.

Structured data & entities

JSON-LD schema is deployed and stacked, and brand, product and author entities are defined and disambiguated so engines can identify the brand without ambiguity.

Content engineering for extraction

Priority pages are rebuilt answer-first, under question-based headings, with self-contained passages, statistics and expert quotes placed where engines extract them.

Earned authority & corroboration

Digital PR, high-authority citations and presence on trusted third-party platforms build the off-site signals AI engines use to cite a source with confidence.

A blurry image of a red and blue background.

What does this GEO service include ?

The service covers four workstreams: AI visibility audit and monitoring, technical implementation, content engineering for citation, and earned authority with multi-engine reach — each against a defined roadmap.

AI Visibility Audit, Strategy & Monitoring

What's included

AI visibility audit across ChatGPT, Gemini, Perplexity, Claude, AI Overviews & Copilot
Prompt-cluster mapping around buyer decisions
Citation baseline & competitor benchmark
Technical & entity readiness diagnosis
Ongoing citation-share & recommendation-position monitoring
Quarterly strategy & prioritised roadmap

THE EDGE

We measure where you are cited today, then prioritise the work that moves citation share.

Technical SEO & Implementation Management

What's included

AI crawler access (GPTBot, ClaudeBot, PerplexityBot and others)
Server-side rendering & crawlability fixes
JSON-LD schema deployment & stacking (Organization, Product, FAQPage, Article)
Entity definition, disambiguation & knowledge-graph presence
llms.txt deployment
Shopify-specific technical implementation

THE EDGE

The technical layer that lets an AI engine read your site cleanly and identify your brand without ambiguity.

Content Engineering for Citation

What's included

Answer-first restructuring of priority pages
Question-based heading architecture matching conversational queries
Self-contained, passage-level extractable sections
Statistics, expert quotes & citable claims placed for extraction
Topic clusters & depth around buyer questions
Content-freshness refresh cycles

THE EDGE

A shift from "blogging for traffic" to building page assets that capture commercial search intent.

Authority, Earned Media & Multi-Engine Reach

What's included

Digital PR & placements in trusted publications
High-authority link & citation building
Third-party presence (industry directories, review platforms)
Community & Reddit visibility for AI summaries
Multi-engine coverage, including Chinese AI engines for cross-border brands
Brand-mention monitoring across the web

THE EDGE

AI engines favour corroborated, earned sources; we build the off-site signals that make your brand citable with confidence.

Pricing

GEO

AI GEO

$3,950

from

AI search audit, across major answer engines and generative discovery platforms
Entity-led optimisation , including brand trust, topical depth and citation readiness
Content engineered, for AI retrieval, summaries, citations and answer inclusion
Structured data implementation, support machine understanding and visibility
Authority-building strategy, through digital PR, mentions and trusted source alignment

Monthly Retainer

Learn more

Retainer pricing in USD per month. Each tier defines a clear scope and deliverable cadence. Final scope and pricing are confirmed in a written proposal.

Our Partners

We help ambitious brands exist in both worlds.

Fantastic

Homeware Supplier in Australia

arova

One of Australia's largest bathroom & kitchen retailers

TCL Inc.

Global consumer electronics and display technology leader

DJI

Global leader in drone technology

The UGG Shop

Luxury UGG boots store

Eurail

No. 1 seller of European rail passes

TAMJAI MIXIAN

Global Restaurant Brand

Le Yeahllow

No. 1 premium cake in Melbourne

Emier

2nd hand designer bags platform

Englaon

No.1 Caravan TV brand in Australia

Arctech

A world-leading intelligent solar tracker manufacturer

Yarbo

No.1 robotic lawn mower brand

SAS Signage

No.1 Australian building & architectural supplier

View all projects

**A predictable rhythm, from baseline to compounding citation share**

Every engagement follows the same four-phase cadence: audit and baseline, build and engineer, monthly monitoring and reporting, and quarterly recalibration against engine changes.

Phase 01 · Weeks 1–3

Audit & Baseline

AI visibility audit, prompt-cluster mapping, technical and entity diagnosis, and a citation baseline across the major engines.

Phase 02 · Ongoing

Build & Engineer

Technical and schema fixes, content engineering, and authority and earned-media work, shipped against the roadmap.

Phase 03 · Monthly

Monitor & Report

Citation share and recommendation position tracked across engines and prompt clusters, with a formal report and strategy call.

Phase 04 · Quarterly

Recalibration

Content refreshed to freshness cycles and the program adjusted as AI engines change how they retrieve and cite sources.

What is Generative Engine Optimization (GEO)?

GEO is the discipline of earning your brand a place inside AI-generated answers — in Google AI Overviews, ChatGPT, Gemini and Perplexity — where users increasingly form their first impression of a category before ever reaching a website. Traditional SEO earns a position in a ranked list; GEO earns a citation in the answer itself. In practice, it means structuring your site so AI systems can read it, defining your entity so they can identify you, formatting content so they can extract accurate statements, and building the external corroboration that makes them confident enough to name you as a source.

Is GEO just repackaged SEO?

A fair question — much of what is sold as GEO today is exactly that. The disciplines share foundations, but they diverge at the retrieval layer: Google's AI systems extract and score individual passages through a mechanism separate from classic ranking, and LLMs like ChatGPT weigh entity consistency and third-party corroboration in ways ranking algorithms never did. Our work runs on a four-layer framework built specifically for this — Readable, Identifiable, Extractable, Trusted — with deliverables classic SEO does not produce: AI crawler access governance, entity schema architecture, passage-level content engineering, and citation building across the sources LLMs use to verify claims. Ask any GEO provider to name what they deliver that an SEO retainer does not; the answer tells you what you are buying.

We rank first on Google. Do we still need GEO?

Ranking and citation are decided by different systems, so a first-place ranking is no guarantee of appearing inside the AI answer above it. Google's AI Overviews retrieve and score individual passages rather than simply reusing the top organic results — pages ranking well beyond the first positions get cited while top-ranked pages are passed over. Our GEO audits regularly find exactly this pattern: strong classic rankings alongside near-zero AI citation share, usually traceable to extraction-hostile page structure or a thin external citation layer. If AI Overviews already appear on your commercial queries, your true visibility is now the sum of both surfaces.

Which AI platforms do you optimise for?

Google AI Overviews and AI Mode, ChatGPT, Gemini and Perplexity as the primary surfaces, with monitoring extended to emerging platforms as usage data justifies it. The platforms differ in how they retrieve and what they trust — Google's systems lean on passage extraction and structured data, while chat assistants lean harder on entity consistency and independent corroboration — so the workplan weights each layer of our framework differently per platform. We prioritise the platforms where your buyers actually research, established in the audit phase, rather than spreading effort evenly across every engine.

How do you measure GEO results — what replaces rankings?

Three measurement layers, reported monthly. First, citation tracking: how often your brand is named as a source across the major AI platforms for a defined set of priority queries, benchmarked against named competitors as share of voice. Second, AI referral attribution: we configure GA4 to correctly classify sessions arriving from AI platforms — including the source/medium combinations ChatGPT generates — so AI-driven traffic and conversions appear as a distinct channel instead of dissolving into "direct". Third, business correlation: AI visibility movements read alongside organic performance and revenue, because a citation that never influences a buyer is not a result.

Can you control what ChatGPT says about my brand?

No one can, directly — and any provider claiming otherwise is misrepresenting how these systems work. What can be engineered is the source layer AI models draw from. When a model misdescribes a brand, the cause is almost always found in the inputs: inconsistent entity information across the web, outdated or conflicting product data, or an external citation layer too thin for the model to verify claims. Our audits have surfaced exactly these failure modes in production — from residual template data misinforming AI crawlers to discontinued products still being recommended. We correct the sources, establish consistency, and monitor how model outputs shift. Influence is real and measurable; control is a claim to walk away from.

How long until AI platforms start citing us?

First movements — typically on Google AI Overviews, which refreshes fastest — commonly appear within one to two months of shipping structural and content changes. Chat assistants move on slower cycles tied to model updates and source re-crawling, so a defensible citation share across platforms in a competitive category is a three-to-six-month build. We baseline your current AI visibility in the audit, define the target query set in writing, and report movement monthly against it. As with rankings, no specific outcome is guaranteed — the honest variable is your starting authority and the competitive density of your category.

Is GEO replacing SEO? Should we move our budget?

Our position on this is published, not improvised: our founder argued in Forbes that GEO deserves serious investment but not mythology. The data behind that view — AI answers absorb primarily informational and comparative queries at the top of the funnel, while high-intent conversion traffic still flows mainly through classic search results, branded search and paid search. Brands now compete on two layers at once: the AI answer layer, where inclusion and credibility are decided, and the traditional search layer, where intent converts into revenue. The budget question is therefore an allocation question, and the audit answers it with your own query data rather than industry slogans.

What does the Prime GEO programme include?

Four continuous workstreams, mapped to our framework. Readable: AI crawler access governance and rendering verification, so GPTBot, PerplexityBot, ClaudeBot and Google's systems can reach and parse every page that matters. Identifiable: entity architecture — Organization, Product and Service schema aligned with your business profiles across the web. Extractable: answer-first page sections, FAQ blocks and data structures engineered for accurate passage-level citation. Trusted: citation building across authoritative publications, directories and review platforms, with monthly monitoring of citation share against competitors. Delivered on a monthly cadence with formal reporting, alongside — never instead of — your SEO foundation.

Can you run GEO in both English and Chinese?

Yes — it is a core capability rather than an add-on. AI systems verify brands across every language in which they are discussed, and for brands operating between China and Western markets, inconsistency between English and Chinese sources is one of the most common causes of weak or inaccurate AI representation. We operate bilingually across strategy, content and citation work: one team maintains entity consistency across both language layers, from English-market publications to Chinese-language brand assets. For Chinese brands entering the US or Australian markets — the environment much of our client work comes from — this closes a gap most single-language agencies cannot see, let alone fix.

Find out where AI is recommending your competitors instead of you

Book a consultation and we will audit your current AI visibility, your technical and entity readiness, and where citation share is winnable.

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