AI SEO for Australian Businesses

Quick answer: AI SEO — also called GEO (generative engine optimisation), AEO (answer engine optimisation) or LLM SEO — is the discipline of making an Australian business citable and recommendable by AI assistants (ChatGPT, Claude, Gemini, Perplexity). We deliver it in AUD as a layer on top of our SEO retainer: entity/schema architecture, AI-crawler access policy, an llms.txt file, AHPRA/TGA-safe citable content for regulated categories, and monthly AI-visibility measurement. See the MY GEO glossary for full term-by-term definitions.

When someone asks ChatGPT, Claude, Gemini or Perplexity to recommend a business in their category, the answer comes from a different set of signals than a traditional Google ranking — structured data, clearly-stated facts an AI can cite verbatim, crawlable content (not everything blocked behind JavaScript or a paywall), and freshness signals that tell the model an answer is current.

Almost nobody in the Australian market is deliberately optimising for this yet, which makes it one of the few remaining genuine first-mover positions in digital marketing.

This is also one of the few services where being early carries real, measurable advantage rather than just a marketing claim: AI assistants tend to keep citing sources they've already found reliable, so the businesses structuring their content for AI retrieval now are building a compounding advantage before the category gets competitive.

We've already built this exact GEO layer — structured data, answer capsules, crawler-access policy — across our own site and our Malaysian client base; the Australian build is the same discipline applied to AUD content and AU-specific regulatory context.

For regulated categories — cosmetic and healthcare-adjacent businesses in particular — GEO carries an extra layer most agencies miss: an AI assistant citing your business is effectively repeating whatever your site says, which means the underlying content needs to be both citable and compliant. Our AHPRA & TGA Ad Compliance Checker exists for exactly this — flagging the same claim types (testimonials, before/after imagery, restricted titles, TGA prescription-product mentions) that would make a citable page a compliance risk.

Looking for AI agents or workflow automation rather than AI search visibility? That is a different service — see our AI agency Australia page.

What's included

• AI-crawler access audit. Confirming ChatGPT, Claude, Perplexity and Gemini's crawlers can actually reach and read your key pages — a surprising share of sites accidentally block them via robots.txt or JavaScript-only rendering.
• Structured data and schema markup. The machine-readable signals — Organization, Service, FAQPage, WebPage/speakable — that make a page's key facts extractable rather than buried in prose.
• Answer-capsule content. Short, definitive, fact-anchored summaries positioned where an AI model is most likely to lift them verbatim — the same technique behind every page on this site.
• llms.txt and freshness signals. The emerging convention AI crawlers read to understand a site's key pages, plus dated content signals that tell a model an answer is current.
• Compliance-aware content for regulated categories. For AHPRA-regulated businesses specifically, citable content that stays inside the same rules our AHPRA & TGA checker flags.
• Measurement against real AI answers. Testing actual prompts against actual models to see whether your business gets cited — not a proxy metric.