How to get your Brisbane business cited by ChatGPT, Perplexity, and Google AI

Ask yourself this question right now: open ChatGPT and type "Who is the best [your service] in Brisbane?" What came back? Was your name there?

For most Brisbane business owners, the answer is no — and that is costing you clients every single week. Not because your business isn't good enough. Because AI models don't yet know you exist, or don't trust you enough to recommend you. The good news: this is fixable.

Why Brisbane is a particularly good opportunity right now

AI search in local markets like Brisbane, Gold Coast, and South East Queensland is significantly less competitive than national markets. In "best accountant Brisbane", the field is almost empty. Most local Brisbane businesses have no deliberate AI visibility strategy at all.

This means a relatively modest, focused effort can position your Brisbane business as the AI-recommended choice in your category — and once that citation pattern is established, it compounds and becomes very hard for competitors to displace.

Step 1: Establish your entity (do this first)

Before AI models will recommend your business, they need to recognise it as a real, legitimate entity.

• Google Business Profile — If you don't have one, create it today. Complete every field: specific category, services, description, photos, opening hours.
• Schema markup — Add LocalBusiness and ProfessionalService JSON-LD schema to your website. This explicitly tells AI crawlers who you are, what you do, and where you serve.
• NAP consistency — Your Name, Address, and Phone number must be identical across every platform. Inconsistencies confuse AI models.
• llms.txt file — Add a plain text file at yourdomain.com.au/llms.txt explaining to AI crawlers who you are and what your key pages are.

Step 2: Publish content that AI can actually cite

AI models don't recommend businesses with no content. They cite sources. If you want to be cited, you need to be citable.

The key insight: AI models are looking for content that clearly answers the questions your customers are asking. Not keyword-stuffed SEO content — content that actually answers questions, is structured clearly, and demonstrates expertise.

For a Brisbane builder: "How much does it cost to build a custom home in Brisbane in 2025?" For a Brisbane financial planner: "Super contribution limits for 2025–26: what Brisbane residents need to know."

Each article should be at least 1,000 words, structured with clear headings, locally relevant, and published on your own domain. Target: publish at least 2 new articles per week consistently for 90 days.

Step 3: Build citations across the platforms AI trusts most

• Clutch.co — AI models cite Clutch heavily for professional service recommendations
• Yelp — especially for trades, hospitality, health, and local services
• True Local and Yellow Pages Australia — local directories Australian AI models pull from
• Industry-specific directories — HiPages for trades, Financial Planning Association for financial planners, Law Society of Queensland for lawyers
• LinkedIn company page, Reddit, Quora, YouTube — these are heavily indexed by AI assistants

Step 4: Track what AI is saying about you

Run these queries every Monday across ChatGPT, Perplexity, and Google AI. Record whether your business is mentioned:

• "Who is the best [your service] in Brisbane?"
• "What [your service] would you recommend in South East Queensland?"
• "Who should I call for [your service] in [your suburb]?"

Keep the record. A shift from never mentioned to occasionally mentioned is the signal that the work is landing, and it is the only evidence that counts — because it is measured on the actual models your customers use, not on a proxy.

How long does it take?

Honestly: nobody can tell you, and anyone who gives you a date is guessing. These models refresh what they know on their own schedules, which they don't publish and which differ between them. A business in an empty category in an outer Brisbane suburb faces a completely different problem from a CBD firm competing with fifty others.

What is predictable is the order things happen in, because it follows the mechanics. Entity infrastructure — profile, schema, NAP, llms.txt — has to exist before anything about you can be verified. Content has to exist before there is anything to cite. Third-party mentions have to accumulate before any of it can be corroborated. Citations can only follow all three, and they tend to appear first on whichever models re-crawl the open web most aggressively.

Skipping ahead to the last step is the most common mistake, and it fails for a boring reason: there is nothing there to cite yet.