The start-here guide. What changed, how each platform decides what to say, and the 90-day plan to make sure it says your name.
AI search means customers get recommendations instead of links. To be recommended, an Australian business needs four things: a consistent public identity, machine-readable facts (schema), independent citations AI trusts, and content that answers real questions directly. This guide covers all four, platform by platform, with a 90-day plan.
Three shifts happened at once. Search results grew an AI summary on top (Google AI Overviews), assistants became a starting point for buying research (ChatGPT, Gemini, Copilot), and research tools began compiling recommendations from multiple sources automatically (Perplexity, Deep Research). In each case the customer sees a small number of named businesses — not ten links to compare. Winner-takes-most replaced page-one-takes-all.
An AI summary above classic results, generated from top-ranking pages and Google's knowledge graph. It cites a handful of sources inline.
What moves it: Rank for the underlying query, structure content as direct answers, keep schema valid — cited sources are usually already on page one.
Answers from model memory plus live web search for current queries. For local/service questions it leans on maps data, reviews and well-cited pages.
What moves it: Entity consistency, review evidence, and mentions on sources it retrieves — plus an accurate, crawlable website.
Google's assistant, drawing directly on Google Search, Maps and the knowledge graph — the strongest link between classic SEO and AI answers.
What moves it: Google Business Profile health, local reviews, and the same content quality signals that win Search.
Search-first: every answer is grounded in retrieved pages and shows its citations openly — the most transparent window into which sources AI trusts.
What moves it: Being present on the sites it repeatedly cites for your topic; quotable, well-sourced content.
Grounded in Bing search results and increasingly embedded in the tools businesses use all day.
What moves it: Don't ignore Bing: verify your site in Bing Webmaster Tools and ensure it indexes cleanly.
Every platform above reads the same public record, so the same four foundations serve all of them. 1. Entity consistency — identical name, category, location and offer on every profile and directory (what's an entity?). 2. Structured data — Organization, Service, FAQ and Review schema so machines can quote facts, not guess from prose (generate yours here). 3. Independent citations — mentions on industry sites, associations, local press and directories; AI weighs what others say more than what you say. 4. Answer-shaped content — one real question per page, answered in the first paragraph.
Run the prompt pack across the assistants and score yourself. Fix entity consistency: align name, category, address, phone and description on every profile, directory and social account. Claim and refresh your Google Business Profile.
Add Organization, Service and FAQ schema and validate it. Restructure your key pages as question → direct answer → evidence. Check robots.txt allows AI crawlers. Publish or update your sitemap.
Start the citation program: industry directories, association listings, local press, guest expertise. Build a steady review pipeline. Re-run the prompt pack monthly and track citation share — adjust based on what moved.
Go deeper: the AEO guide, how ChatGPT picks who to recommend, or start measuring with the score calculator and prompt pack.
The foundations above apply everywhere. These playbooks show what they look like in a specific industry — the questions customers actually ask, and what AI answers today.
Keep reading:AEO vs SEO vs GEO, how Google AI Overviews work, and the AI search glossary.
The start-here guide. What changed, how each platform decides what to say, and the 90-day plan to make sure it says your name.
AI search means customers get recommendations instead of links. To be recommended, an Australian business needs four things: a consistent public identity, machine-readable facts (schema), independent citations AI trusts, and content that answers real questions directly. This guide covers all four, platform by platform, with a 90-day plan.
Three shifts happened at once. Search results grew an AI summary on top (Google AI Overviews), assistants became a starting point for buying research (ChatGPT, Gemini, Copilot), and research tools began compiling recommendations from multiple sources automatically (Perplexity, Deep Research). In each case the customer sees a small number of named businesses — not ten links to compare. Winner-takes-most replaced page-one-takes-all.
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Every platform above reads the same public record, so the same four foundations serve all of them. 1. Entity consistency — identical name, category, location and offer on every profile and directory (what's an entity?). 2. Structured data — Organization, Service, FAQ and Review schema so machines can quote facts, not guess from prose (generate yours here). 3. Independent citations — mentions on industry sites, associations, local press and directories; AI weighs what others say more than what you say. 4. Answer-shaped content — one real question per page, answered in the first paragraph.
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Go deeper: the AEO guide, how ChatGPT picks who to recommend, or start measuring with the score calculator and prompt pack.
The foundations above apply everywhere. These playbooks show what they look like in a specific industry — the questions customers actually ask, and what AI answers today.
Keep reading:AEO vs SEO vs GEO, how Google AI Overviews work, and the AI search glossary.