The New Search Landscape
Search has changed fundamentally. A growing proportion of consumers no longer type keywords into Google and scroll through links. Instead, they ask AI assistants direct questions and receive summarised, direct answers. "What's the best accountant near me in Bondi?" "Which plumber in Brisbane is registered and has good reviews?" "Find me a solicitor who handles property disputes in Melbourne."
The AI gives an answer. It names specific businesses. It describes what they do and whether they're trustworthy. If your business isn't in that answer, you've lost the customer before they even saw your website.
The Major AI Search Engines You Need to Know
ChatGPT
OpenAI's ChatGPT uses browsing capabilities to access live web data. Over 100 million users globally ask it business-related questions daily.
Perplexity
Perplexity is a real-time AI search engine that crawls the web and cites sources. Popular with research-oriented users seeking business recommendations.
Google AI
Google's AI Overviews appear above organic search results for millions of queries. Powered by structured data and Knowledge Graph signals.
How AI Search Engines Find and Cite Businesses
AI search engines don't use the same ranking signals as traditional SEO. They're looking for a different kind of signal: structured, machine-readable, authoritative entity data. Here's what that means in practice:
Entity Recognition
AI models think in terms of entities — specific, identifiable things in the world. Your business is an entity. When an AI can recognise your business as a distinct, verified entity with consistent properties across multiple sources, it can cite you with confidence. When it can't, it either ignores you or hallucinates your details.
Structured Data
The primary signal AI crawlers use to understand business entities is JSON-LD structured data — machine-readable schema embedded in your website. Unlike natural language content that requires interpretation, structured data is explicit. It directly states your business name, address, phone number, services, and crucially, your government-issued identifier (ABN in Australia).
Authority and Verification
Not all structured data is equal. AI models assess the authority and verifiability of the claims in your schema. Data anchored to government registries like the ABR or NZBN carries far more weight than self-asserted claims with no external verification. This is the core principle behind government-anchored structured data.
Key insight: AI search visibility is not about traditional SEO metrics like keyword density, backlinks, or page speed. It's about entity clarity — how clearly and authoritatively your business identity is defined in structured, machine-readable form, verified against authoritative external sources.
What is the Authority Trust Score (ATS)?
Verinty measures your AI search readiness using the Authority Trust Score — a proprietary 0–100 measure broken into three components:
Authority Trust Score (ATS) Breakdown
A score above 70 indicates strong AI search visibility. Below 40 means you're likely invisible or being misrepresented by AI engines. The free scan shows your score and breaks down exactly where your gaps are.
ABR and NZBN: Why Government Registration Matters
For Australian businesses, the Australian Business Register (ABR) is the single most authoritative source of business identity data. It's government-maintained, publicly accessible, and trusted by every major platform from Google to tax authorities.
When your JSON-LD schema includes a verified ABN and is cross-referenced against ABR data, AI models treat your identity claims as verified fact rather than self-assertion. This is the difference between an AI saying "I've seen various claims about this business" versus "this business has a verified ABN of 12 345 678 901 registered with the Australian Government."
For New Zealand businesses, the same principle applies using the NZBN Register. Verinty integrates with both registries.
How to Improve Your AI Search Visibility
There are five key steps to improving your AI search visibility:
- Deploy verified JSON-LD schema — include your ABN/NZBN as a structured identifier in a LocalBusiness or Organization schema on every page of your site.
- Anchor to government registries — verify your ABN/NZBN and ensure your schema data matches your official government registration exactly.
- Build consistent citations — ensure your business name, address, and phone are identical across all directories, social profiles, and review platforms (no abbreviations, no variations).
- Establish Wikidata presence — Wikidata is a primary training data source for AI models. A Wikidata entry anchored to your ABN significantly improves AI citation accuracy.
- Monitor and maintain — AI search visibility is not a set-and-forget. Update your schema when your business details change, and monitor for new hallucinations.
Check Your AI Visibility Score
Free scan — see your Authority Trust Score in under 60 seconds. No credit card required.
Free Scan — Check Your AI Visibility →Related: Why ChatGPT Gets Your Business Wrong · JSON-LD Schema Guide for Australian SMBs · How Verinty Works