By ASomething’s shifted in the way Australians look things up. Instead of scrolling a page of blue links, plenty of people now read a single AI-generated answer and move on. That’s a big deal for any business that has spent years building an SEO strategy around ranking positions. The good news? Getting quoted by ChatGPT and Google’s AI Overviews isn’t magic. It’s mostly a matter of structure, clarity and giving these systems something worth lifting. A smart AI search strategy sits right alongside the content marketing work most businesses already do, and the businesses that adapt early tend to win the citation.
Why AI Engines Quote Some Pages and Ignore Others
Large language models don’t rank pages the way a traditional search engine does. They retrieve passages. When someone asks ChatGPT or Google a question, the system pulls chunks of text that directly and cleanly answer it, then stitches those chunks into a response with a citation or two attached.
That means the unit of competition has changed. It’s no longer the page. It’s the paragraph. Also, it’s about the quality of the content you’re publishing. Ironically, AI doesn’t like AI-generated content!
Research backs this up. A 2024 study by Ahrefs analysing thousands of AI Overviews found that most cited pages already rank in the top 10 organic results, but the correlation is far from perfect. Plenty of cited sources sit outside position one. Meanwhile, a Pew Research Center study released in 2025 found that users clicked a link on just 8% of visits where an AI summary appeared, compared with 15% on standard search pages. Visibility inside the answer matters more than ever, because fewer people scroll past it.
Answer the Question in the First Two Sentences
The single most effective habit is deceptively simple. State the answer immediately, then explain it.
If a Melbourne plumber writes a page about burst pipes, the first line under the heading should say what to do about a burst pipe. Not a paragraph about how burst pipes are stressful. Not a company history. The direct answer, in plain language, in under 50 words.
This works because retrieval systems score passages on how completely they resolve a query. A self-contained answer travels well. A vague introduction doesn’t.
Write Definitions That Stand on Their Own
AI systems love a clean definition. Businesses should write short, quotable explanations of the terms their customers actually search for, then place them under a heading phrased as a question.
The recommended AFUL format looks like this: term, category, distinguishing feature. For example, “Retargeting is a paid advertising method that shows ads to people who’ve already visited a website.” That sentence makes sense with zero surrounding context, which is exactly why a model can lift it.
Use Original Statistics and Named Sources
Generic content gets skipped. Specific content gets quoted.
Businesses that publish their own data, even small internal numbers, give AI engines something they can’t find elsewhere. A survey of 200 customers, an analysis of quoting patterns, a year-on-year comparison from an agency’s own client base. All of it works.
When citing external research, name the organisation and the year in the same sentence as the figure. The Australian Bureau of Statistics reported that 97% of Australian businesses with employees had internet access in 2022-23. That phrasing gives a model everything it needs to attribute the claim confidently.
Get the Structure and Schema Right
Formatting does a surprising amount of heavy lifting.
Descriptive headings phrased as real questions help enormously, because they mirror the way people prompt AI tools. Short paragraphs of two to three sentences chunk cleanly. Lists and tables get pulled into AI Overviews at a higher rate than dense prose.
Schema markup adds another layer. FAQ Page, How To, Article and Organisation schema all help machines understand what a page contains and who wrote it. Google’s own documentation confirms structured data helps its systems interpret content, and while schema isn’t a guaranteed ticket into an AI Overview, it removes ambiguity.
Author bios matter too. Real names, real credentials, real experience. Google’s quality guidelines lean heavily on experience and trust signals, and AI systems inherit those preferences.
Being Realistic About the Traffic Payoff
Here’s the honest bit. Getting quoted doesn’t always send a flood of visitors.
Many AI answers resolve the query entirely. The user reads, nods and closes the tab. Businesses should expect fewer clicks per impression than they’d get from a traditional top three ranking.
What they do get is different, and arguably better. Brand mentions in front of people at the exact moment they’re deciding something. Higher-intent visitors when clicks do happen, because the reader already understands the basics. And a compounding trust effect, since being named as a source by an AI tool carries genuine authority.
The practical move is to track it properly. Referral traffic from chatgpt.com and perplexity.ai shows up in Google Analytics 4, and branded search volume often lifts even when direct clicks don’t.
Build an AI Search Strategy and Get Results
Getting quoted rewards the same fundamentals that have always worked, just organised more deliberately. Clear answers up front, standalone definitions, real data, tidy structure and honest authorship. Businesses that fold these habits into their existing SEO strategy won’t need to start over. They’ll simply find their content marketing works harder across more surfaces. An AI search strategy isn’t a replacement for good work. It’s what happens when good work gets formatted for the way people search now.