Search changed in 2024. AI engines now answer questions directly — without showing a list of links. If your business isn't structured for AI citation, you don't exist to your next customer.
Generative Engine Optimisation — GEO — is the discipline of structuring your business identity, website content, and digital presence so that AI-powered search engines like ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot cite your business correctly, consistently, and in contexts that matter to your customers.
Traditional search engine optimisation (SEO) was built around one outcome: rank as high as possible in a list of ten blue links. A user would scan the list, click a result, and land on your website. Traffic was the metric. Rankings were the game.
GEO is built around a fundamentally different outcome: become the answer. When someone asks ChatGPT "who are the best accountants in Melbourne?" or Perplexity "what is the most trusted NDIS provider in Auckland?", the AI engine doesn't return a list of links. It generates a direct, confident answer — citing specific businesses by name, quoting their verified details, and recommending them as the authoritative source.
If your business isn't structured for that kind of machine-readable citation, you won't appear in that answer. You won't even be considered. And unlike SEO — where not ranking still means someone might scroll down and find you — in AI search, invisibility is absolute.
SEO and GEO are not competing strategies — but they are optimising for completely different audiences. SEO optimises for search engine crawlers and ranking algorithms. GEO optimises for AI agents and language models that need to understand, verify, and cite your business identity.
The most important thing to understand: you can rank #1 on Google and still be completely invisible to ChatGPT. Google's ranking signals (backlinks, PageRank, page speed) are largely irrelevant to language models. LLMs don't crawl in the same way. They need machine-readable, verifiable, structured identity data — and they need it to be anchored to sources they can trust, like government business registries.
This is why businesses that invested heavily in traditional SEO are often blindsided when they discover their AI search presence is effectively zero.
Australia and New Zealand have a specific, structural problem that makes GEO particularly urgent for businesses in both markets.
AI language models were primarily trained on data skewed heavily toward US and European sources. Businesses in the US and UK benefit from decades of structured data in knowledge graphs, Wikipedia articles, LinkedIn company profiles, and major business directories — all in English, all well-indexed.
Australian and New Zealand businesses are systematically underrepresented. An ABN is meaningless to a language model that was never trained to understand the Australian Business Register. A New Zealand company number is invisible to a model that has no structured reference for the NZBN registry. Even businesses with excellent websites and strong SEO profiles can appear as completely unknown entities to AI engines.
The consequence is real: when an Australian or NZ customer asks an AI assistant for a recommendation in your category, the AI is far more likely to hallucinate a US-based competitor, cite an outdated entry, or simply say it doesn't have enough information — than to accurately describe and recommend your business.
The fix is not more content. It is verified, machine-readable identity data — linked directly to the ABR or NZBN, cryptographically signed, and structured in a format that AI engines are trained to trust.
To understand GEO, you need to understand what AI search engines are actually doing when they generate an answer about a business.
Language models and retrieval-augmented generation (RAG) systems evaluate a combination of signals to decide whether a business is credible, verifiable, and worth citing:
Most Australian and NZ businesses fail on the first two signals entirely. They have no structured schema, and the text on their website has never been cross-referenced against any registry. For AI engines, this means they are essentially anonymous — and anonymous entities are not cited.
Verinty was built specifically to solve the GEO problem for Australian and New Zealand businesses. The platform connects directly to the Australian Business Register (ABR) and the New Zealand Business Number (NZBN) registry to pull authoritative, live business identity data.
That verified data is then structured into cryptographically signed JSON-LD schema — the machine-readable format that AI search engines, Google, Perplexity, ChatGPT, and other LLM-based agents are trained to read and trust.
The result is a single script tag that you embed in your website's <head>. That tag tells every AI engine that crawls your site exactly who you are, that you have been verified against a government registry, and that your identity data carries a cryptographic proof of authenticity.
Verinty also calculates your Authority Trust Score (ATS) — a 0-to-100 metric that quantifies exactly how visible and trustworthy your business identity is to AI agents. A score below 40 means you are functionally invisible. A score above 90 means you are optimally positioned to be cited by every major AI search engine.
Getting your AU or NZ business GEO-ready with Verinty takes under ten minutes:
<head>. WordPress users can install the Verinty plugin for automatic injection. No developer required.GEO is not a one-time fix — it is an ongoing practice. Business details change. Registry data is updated. New AI search engines emerge. Verinty keeps your schema current, your registry anchoring live, and your AI visibility optimised as the landscape evolves.
Generative Engine Optimisation (GEO) is the practice of structuring your business identity and website content so AI search engines like ChatGPT, Perplexity and Google AI Overviews cite your business correctly and consistently. It is distinct from traditional SEO, which focuses on ranking in link-based search results.
Yes. Traditional SEO optimises for ranked links in Google search results. GEO optimises for citations and direct answers in AI-generated responses. Both matter in 2026 — but GEO is where search is heading. A business can rank #1 on Google and still be completely invisible to ChatGPT.
Run a free scan at app.verinty.com. You will receive an Authority Trust Score (ATS) out of 100 that shows exactly how visible and machine-readable your business is to AI search engines. Any score below 60 indicates significant GEO risk.
Yes. Verinty supports both Australian (ABR) and New Zealand (NZBN) business registry verification, making GEO accessible for AU and NZ businesses equally. The platform connects to both government registries in real time to generate verified, AI-ready schema for businesses in both markets.
Schema injection takes under 10 minutes. AI search engines typically recrawl and update their knowledge of your business within days to weeks of schema deployment. Your Authority Trust Score updates in real time as your schema is verified and synced to government registries.
Enter your domain. Get your Authority Trust Score. Understand exactly why AI search engines are ignoring your business — and fix it today.
Free GEO Scan →