AI search vs Google search is not a choice between two separate strategies. Google usually presents a broader set of results, while AI tools may provide a direct answer supported by fewer sources or business mentions. The best response is to keep the SEO fundamentals that already work and make your content clear, useful and easy to understand.
For years, Google search followed a familiar model. You optimised your website, appeared in the results and gave people a reason to click. Better rankings could improve visibility, although Google now also displays maps, featured snippets, AI Overviews and other search features.
AI search changes the experience by giving users a direct response that may refer to a smaller group of sources or businesses. This does not mean AI will replace Google. It means websites now need to work across both traditional search results and conversational AI tools.
Understanding those differences is the first step to making sure your website works in both environments.
Google’s model is one most business owners understand intuitively, even if they do not know the technical details.
Someone enters a query. Google may return organic listings, ads, maps, featured snippets, AI Overviews and other search features. The user can scan the available options, open relevant pages and make their own assessment.
The key characteristics of this model include the following.
This model has driven an entire industry. SEO agencies, content marketers and web developers have spent years building strategies around improving visibility in Google Search.
It still works. It is still important. But it is no longer the only game in town.
When someone asks ChatGPT, Gemini, Perplexity, or Claude a question, the experience is fundamentally different from a Google search.
The user types a natural language question, such as “who is the best dermatologist in Sydney for acne treatment?” The platform generates a response using its models and, depending on the tool, information retrieved from the web. The answer may also include citations or links for further reading.
That response might mention one business, several businesses or none at all. Rather than presenting a standard list of ranked results, the platform frames the answer and chooses which sources or recommendations to include.
Here are the key differences:
This is the most significant difference. Google gives you ten options on page one. AI search gives you one answer with maybe two or three businesses mentioned. There is no “page two” of AI results. There is no position seven. You are either mentioned or you are not.
The implications still matter. In Google, being the fourth-best result in your market still gets you meaningful traffic. In AI search, being the fourth-best option means you do not exist in that conversation. The AI platform picked the top two or three and everyone else is invisible.
In Google, the user decides. They read the titles, scan the descriptions, click through, evaluate the websites, and make a choice. Your website has the opportunity to sell itself.
In AI search, the platform decides on the user’s behalf. The AI assesses which businesses to recommend based on its understanding of authority, relevance, and credibility. Your website never gets the chance to make its own case. The AI has already decided whether to mention you before the user sees anything.
This means the factors that influence AI recommendations are different from the factors that influence Google rankings. It is not enough to have a website that looks good and converts well. Your website needs to provide clear, authoritative information that convinces the AI platform to recommend you.
Google searches are typically keyword-based. People type “dentist Brisbane CBD” or “best accountant small business Melbourne.” SEO strategies are built around identifying and targeting these keyword patterns.
AI searches are often conversational. People may ask “Can you recommend a dentist near Brisbane CBD who is good with children and has weekend appointments?” The query is more specific and more closely reflects what the person wants.
This means keyword-stuffed content that targets “dentist Brisbane CBD” may rank well on Google but fail completely in AI search. AI platforms are looking for content that comprehensively addresses detailed questions, not content that repeats a keyword phrase in the right places.
Google uses backlinks and domain authority as ranking signals, but a website with weaker authority can still rank well for less competitive terms with good on-page SEO.
AI platforms are more selective about authority. Clear credentials, consistent business details, useful content and credible third-party references can make a business easier to understand and verify.
A small business with a basic five-page website and minimal online presence may still rank for local Google searches with good SEO. That same business is very unlikely to appear in AI recommendations, because the AI platform does not have enough information to confidently recommend it.
This is worth calling out specifically, because it represents the biggest strategic challenge AI search creates.
In Google’s ten-result model, there is room for many businesses to benefit. The top three positions get the most clicks, but positions four through ten still get traffic. Even page two gets some traffic. The market is distributed, if unevenly.
In AI search, the distribution is binary. You are mentioned or you are not. And because AI platforms typically mention only one to three businesses per query, the vast majority of businesses in any given market receive zero visibility from AI search.
This means the businesses that improve their content, technical foundations and online information now may be better placed as AI-assisted search develops. They are not competing for a single fixed AI ranking. They are improving the likelihood that systems can find, understand and accurately represent them. Everyone else gets nothing.
As more consumers shift toward AI-assisted decision-making, this dynamic will intensify. The businesses that are visible to AI platforms now are building an advantage that will be increasingly difficult for competitors to close.
| Factor | Google SEO | AI Optimisation |
|---|---|---|
| Results shown | 10 per page | 1-3 mentioned |
| Who decides | The user | The AI platform |
| Query style | Keywords | Natural language |
| Ranking factors | 200+ known factors | Less defined, authority-heavy |
| Content depth | Moderate (500-1500 words can rank) | Deep (detailed, specific, comprehensive) |
| Structured data | Helpful | Increasingly essential |
| Authority threshold | Graduated (any authority helps) | High (confident recommendation required) |
| Incremental gains | Yes (position 7 to 5 matters) | No (mentioned or invisible) |
If your content strategy is built around rankings, backlinks and page speed alone, you may be overlooking how people now discover information through AI-generated responses. The good news is that the fundamentals overlap more than many businesses realise.
Here is what needs to change.
Keyword research is still valuable, but it is not sufficient. You also need to identify the actual questions your customers ask when they are looking for your type of service, and create content that answers those questions directly and thoroughly.
“Best accountant small business” is a Google keyword. “Can you recommend an accountant in Melbourne who specialises in small business tax and has experience with sole traders?” is an AI search query. Your content needs to serve both.
A 300-word service page might rank for a long-tail keyword on Google, but it will never be cited by an AI platform. AI platforms need enough information to confidently recommend you, and that requires detail.
Explain what your service involves. Describe your process. Cover pricing where possible. Address common questions and the types of clients you typically work with. Give both the reader and the platform enough accurate information to understand the offer.
Credibility is not built through one signal. It develops through useful content, relevant links and mentions, accurate business information, professional credentials and a consistent online presence.
Get listed in relevant industry directories. Seek mentions from professional associations. Contribute expert content to industry publications. Build a Google Business Profile that is complete, accurate, and actively maintained. These signals tell AI platforms that your business is established and credible.
Schema markup is no longer optional. It is the most direct way to communicate your business entity, services, and credentials to AI platforms in a format they can process reliably. Organisation, LocalBusiness, Service, and FAQ schema should be standard on every business website.
This is not a “choose Google or AI” situation. Both channels serve your business, and they require overlapping but distinct strategies.
Google remains an important source of traffic and enquiries for many businesses. SEO work is not wasted simply because AI-powered search is growing.
AI search is also becoming part of how people research and compare options. Ignoring it completely means overlooking a developing search behaviour, just as businesses once underestimated the shift towards mobile.
The good news is that many improvements support both channels. Useful content, accurate business information, sensible internal linking, relevant structured data and credible third-party references can all make a website easier to find and understand.
The main difference is often how the information is presented and used. Traditional search may show a wider set of pages, while an AI response may combine information from several sources. In both cases, the content needs to be useful, specific and well organised. More words alone do not make a page stronger.
Here is a prioritised list of actions that improve your visibility across both Google and AI platforms:
Here is the honest truth. Many businesses are still working out what AI search means for their website, and the systems themselves continue to change.
That is a problem for them. But it is an opportunity for you.
Businesses that strengthen their content, structured data and credibility signals now may be better prepared as AI-assisted search develops. That does not lock in a permanent recommendation. It gives platforms better information to find, understand and accurately describe the business.
This is not about chasing the latest trend. It is about recognising that how people find businesses is genuinely changing, and positioning your website to work in the new environment as well as the old one.
Our Website Strategy packages start at $500 and include AI search analysis alongside traditional SEO planning. We research your market, assess your visibility across both Google and AI platforms, and build a strategy that covers both channels. Get started here.
