New Small Business · AI Search By Viveka Mohan Das 19 July 2026  ·  9 min read

What Happens When Customers Ask AI a Question: A Practical Guide for Australian Small Business Owners

Right now, a lot of Australian pet owners are searching for cat toothpaste. Search interest in the term has climbed roughly 230% over the past two years, with monthly search volume now around 12,100. It is a small category, but it is a perfect example of how differently people search today. For years, being visible online meant one thing: Google search and SEO. But more and more customers are now asking full questions to AI tools instead of typing keywords into Google. Most small business owners assume this is just SEO with a new coat of paint. It is not, and the difference decides whether an AI names your business or a competitor's.

60%
Of Google searches now end without a single click
SparkToro / LLMrefs
4.4×
Higher conversion from AI citations than standard organic clicks
Semrush, 2025
1–2
Businesses an AI answer usually has room to name, you are in it or invisible
AISearch Global
20%
Of businesses have started AEO, the window is still wide open
CXL, 2026

The old way versus the new way

What happens in traditional search (SEO)

Type "cat toothpaste" into Google, and web crawlers that have already scanned websites across the internet, reading headings, text, prices, and reviews, return a ranked list of product pages and shops. The customer has to click through, compare, and decide for themselves.

Traditional SEO is about helping those crawlers understand your pages: clear headings, useful content, sound technical setup, and trusted links from other sites.

What happens in AI answers (AEO)

Now ask an AI tool like ChatGPT, Gemini, or Perplexity a natural question instead: "What's the best cat toothpaste for my indoor cat who hates brushing?" The system works differently. It combines what it learned during training with real-time lookups when needed, then writes a direct answer. No clicking, no comparing.

Instead of matching keywords alone, it tries to understand the meaning behind the question: a fussy cat, a need for something safe and easy to use, and availability in Australia. An AI tool might reply with something like:

"Some Australian vets and cat owners prefer an enzymatic cat toothpaste in a chicken flavour. It's gentle, doesn't need rinsing, and works well with a finger brush. You can usually find similar products at major pet retailers, online stores, or through your local vet. Many owners say these options are easier for fussy cats than basic gels."

A pet shop or vet clinic is more likely to be named here if its website or Google Business Profile clearly explains real benefits in plain language, even without ever using the exact phrase "best cat toothpaste."

What actually happens in those few seconds

An AI answer is not magic and it is not a simple lookup. It is a short process, and every step of that process either includes your business or quietly filters it out. Here is each step, in plain English.

01
The question gets broken into pieces

The AI does not read the question the way a person does. It chops it into small chunks called tokens, roughly word-sized pieces. "Best cat toothpaste in Sydney" might become six or seven tokens. It is not reading for meaning; it is predicting, piece by piece, what should come next, based on patterns learned from an enormous amount of text.

02
The AI checks what it needs to know

For a lot of questions (history, general concepts, how something works) the AI already knows enough from its training and answers straight away. But for anything current, anything with words like "best," "near me," "top-rated," "compare," most modern AI tools run a live web search first, then read real pages before answering.

This is the part that matters most for your business. If your business is not clearly, accurately, and consistently described somewhere the AI can find and read easily, it cannot be pulled into that search step, no matter how good you are.

03
It builds the answer, one word at a time

The AI writes the response one token at a time, each choice shaped by what was asked, what it found in the search step, and what a good, coherent answer tends to look like. It is not pulling a ready-made paragraph about your business off a shelf. It is constructing a fresh answer and deciding, word by word, which facts are worth including.

04
It decides who gets named

This is where a business mention comes from. An AI names a source or a business when that source was findable during the search, readable (structured clearly enough to quote with confidence), and trustworthy-looking (consistent details, clear ownership, no contradictions). Vague or inconsistent content is not shut out on purpose. It just does not make it through the filter cleanly enough to be worth naming.

Traditional SEO stops at getting a page to rank. This goes a step further: whether your business gets named inside someone else's answer, on a platform you do not control, in a format you did not design. That is the piece most owners miss, and it is exactly why AEO is not just SEO with a new label.

How AEO differs from SEO

Feature SEO (Google) AEO (AI answers)
How customers ask Short keywords Full natural questions
How the system works Web crawlers index pages in depth Semantic understanding plus training data
What customers see A list of links One direct, summarised answer
What helps you get chosen Keywords, backlinks, technical SEO Clear, helpful, trustworthy content
Room for your competitors Around ten on page one Often just one or two names in the whole answer
Goal for your business Get clicks to your website Get mentioned in the AI's final answer

SEO still matters. It supports your visibility and traffic. AEO adds a new layer on top. AI tools are becoming the first stop for many customers, especially younger people and anyone short on time.

This is also why a business can rank well on Google and still never get mentioned by an AI. Ranking and being named are two different skills. One is about relevance to a query; the other is about how easy you are to confidently quote.

Decision fatigue: why one answer feels easier than 100 links

Search "cat toothpaste" on Google and you get 50 to 100 results. The customer has to decide which links to open, how long to read each page, and whether they have seen enough to choose. That constant weighing and comparing drains mental energy, a form of decision fatigue, where the quality of decisions drops as you make more of them.

Over time, many people start to prefer tools that give them one clear, well-explained answer instead of an endless list of choices. That is a big part of why AI answers feel easier, even when the underlying information still comes from the open web.

Why this shift matters for Australian small businesses

The same effort works twice. The clarity that helps an AI tool understand and recommend you is the same clarity that helps a human customer trust and choose you. You are not doing two jobs; you are doing one job well.

Practical steps you can take today

Update your Google Business Profile

Check that your hours, services, photos, and recent posts are accurate. This is often the first place Google and AI tools look to see what you do right now.

Pass the one-sentence test

Can a stranger say what you do, where, and for whom in one sentence after reading your homepage? Answer real questions plainly: "Is this safe for kittens?", "Does it need rinsing?" Skip lines like "premium quality pet care products."

Encourage specific reviews

Ask customers to mention details that matter: "my cat actually lets me use this", "no rinsing needed", "works with a finger brush." Those phrases help AI recognise what you are good at.

Be consistent everywhere

Keep your business name, address, phone number, and product details identical across your website, Google Business Profile, socials, and directories. Even one mismatch creates doubt, and doubt gets you skipped.

Focus on everyday value

Describe what makes your product helpful in simple terms: what it does, who it is for, and why people keep coming back. Plain, honest descriptions build trust with customers and AI alike.

Do the 30-second check

Open ChatGPT or Gemini and ask it a real customer question in your category. See whether your business gets named. That is your current AI visibility, right now.

These changes are small, but they make it much easier for both Google and AI tools to understand and recommend your business.

Looking ahead

The move from keyword search to AI answers is already underway across Australia. Businesses that make their information easy for both web crawlers and AI systems to read will have a real edge. You do not need to walk away from SEO. You just need to add clarity and everyday helpfulness for the new way customers are searching.

The same steps that make AI more likely to recommend you also make your business more attractive to real customers. Clear, honest information builds trust in both worlds. That is the whole discipline behind Answer Engine Optimisation: not writing for AI, but leaving it nothing to guess about when it decides who earns the mention.

Common questions

What is the difference between SEO and AEO?

SEO helps your pages rank in Google's list of links, so a customer can click through and compare. AEO helps AI tools understand your business well enough to name it directly in a written answer. SEO gets you a place in the list; AEO gets you mentioned in the one answer the customer actually reads. It is not SEO with a new label; it rewards different things.

Does AI actually search the web before answering?

For general knowledge, AI answers from its training. But for anything current, questions with words like "best", "near me", "top-rated", or "compare", most modern AI tools run a live web search first and read real pages before answering. If your business is not clearly, accurately, and consistently described somewhere the AI can find and read easily, it cannot be pulled into that search step, no matter how good your business is.

Do I need to stop doing SEO if I start doing AEO?

No. SEO still supports your visibility and website traffic. AEO adds a new layer on top for the growing number of customers who ask AI a full question. The same clear, honest, well-structured information helps both at once.

Why does my business rank on Google but never get mentioned by AI?

Ranking and being named are two different skills. Google ranking is about relevance to a query: keywords, backlinks, page authority. Being cited by AI is about how easy you are to confidently quote: clarity, structure, and consistency. A page can rank on page 1 of Google and still never survive the AI's filter, because the AI could not extract clean, verifiable facts from it.

How does AI decide which small business to recommend?

AI favours businesses whose information is clear, specific, consistent, and easy to read. If your website and Google Business Profile explain real benefits in plain language, your details match everywhere, and your reviews mention specifics, an AI tool is far more likely to name you than a competitor hidden behind vague marketing language.

What is the single most useful thing I can do today?

Update your Google Business Profile so your hours, services, photos, and posts are accurate. It is often the first place both Google and AI tools look to understand what you do right now, and it is free to fix.

Check Your AI Visibility

We run a non-invasive check across ChatGPT, Perplexity, Gemini, Claude, DeepSeek, and Grok, and show you exactly where your business appears and where it does not.

Request a Free Visibility Snapshot
Read More · Mindful Machines Journal

Minds in the Machine Age: Decision Fatigue

Viveka goes deeper into what decision fatigue does to our brains when we face hundreds of micro-choices a day across search, feeds, and apps, and how AI can cut the noise instead of adding to it.

Read the article on Mindful Machines Journal →

Viveka Mohan Das

AEO & GEO Strategist, Published Author & Founder, AISearch Global. Helping Australian businesses get found, cited, and recommended in AI-generated answers. More about Viveka →

Sources

  1. LLMrefs (2026). AEO Complete Guide, citing SparkToro zero-click search data. llmrefs.com
  2. Semrush (2025). AI search visitors convert at 4.4x the rate of standard organic visitors. semrush.com
  3. CXL (2026). 70% of organisations believe AEO will significantly impact digital strategy within 1 to 3 years; only 20% have begun. cxl.com
  4. Ahrefs (2025). Position-1 click-through rate drops when a Google AI Overview is present. Cited via frase.io
  5. Exploding Topics. "Cat Toothpaste" trend data. explodingtopics.com
  6. Marketing Science (INFORMS). Search Fatigue, Choice Deferral, and Closure. pubsonline.informs.org
  7. Frontiers in Cognition (2025). An integrative review on the causes and effects of decision fatigue. frontiersin.org
  8. The Decision Lab. Decision Fatigue. thedecisionlab.com
  9. Conductor. Understanding Answer Engines: The Future of Search. conductor.com
  10. HubSpot. How to structure pages for AEO and answer engines. blog.hubspot.com
  11. Qyliq. How AI Search Engines Choose Which Businesses to Recommend. qyliq.com
  12. WSI. How to Structure Content for AI Answer Engines: GEO and AEO. wsiworld.com
  13. NoGood. How to do AEO: A Guide to Brand AI Visibility. nogood.io
  14. Vimm. How Does AI Choose Which Local Businesses to Recommend. vimm.com
  15. Mindful Machines Journal. Minds in the Machine Age: Decision Fatigue. mindfulmachinesjournal.blogspot.com