The New Search Reality: Why SMEs Must Optimise for Both Google and AI

Why SMEs Must Optimise for Both Google and AI

And what it takes to be visible in an LLM-driven world

For years, businesses have focused on ranking in Google, and for good reason. As a search engine, it continues to dominate, holding close to 90% market share in Australia.

However, while Google remains central, the way people search, discover and evaluate information has shifted significantly.

Search is no longer just a list of links. It is now a multi-layered discovery environment where answers are increasingly generated, summarised and delivered before a user ever reaches a website.

AI-generated responses now sit at the top of Google results, conversational tools such as ChatGPT and Copilot are being used for discovery, social platforms are functioning as search engines and voice and natural language queries are becoming more common.

In Australia, this shift is happening faster than many businesses realise. Adoption of generative AI is accelerating, and with it, the way customers expect to find and evaluate information.

One of the most commercially significant outcomes of this shift is the rise of what is often referred to as zero-click search. Increasingly, users are receiving answers directly within search environments, without needing to click through to a website at all.

This changes the nature of visibility because it means your customer may find their answer, and form a preference, without ever visiting your site.

SEO is not dead – but it is no longer enough

There is a growing misconception that traditional SEO is being replaced – however, it is not. In fact, it remains essential but is no longer sufficient on its own.

Traditional SEO has been built around a clear set of metrics: rankings, keywords, click-through rates and traffic. These remain important indicators, and understandably, they are still what many business owners look to first when assessing performance.

However, this is where tension is emerging. Businesses are still asking, “How do we rank?”, because that has historically been the most visible and measurable indicator of success. At the same time, they are beginning to sense that rankings alone are no longer telling the full story. In many cases, leads are being influenced earlier, through AI-generated answers or third-party references, making attribution less obvious and performance harder to track in traditional ways.

This is not an easy shift. It requires businesses to move from a model that is highly measurable and familiar, to one that is more distributed, less visible and, at times, less directly attributable.

The shift: from ranking pages to building presence

To navigate this change, the question is no longer simply, “How do we rank?” It is, “How do we become a trusted, referenced source wherever decisions are being shaped?”

This does not replace SEO. It reframes it because search engines, and increasingly AI models, are not just indexing websites. They are interpreting, synthesising and selecting information from across a broader ecosystem that includes your website, third-party content, reviews, social platforms and industry publications.

This is where many SMEs experience uncertainty because ranking is still visible and can be checked. It feels tangible.

Being referenced within an AI-generated response is however less obvious. It is harder to measure directly. Leads influenced in this way may not always be attributed clearly, even though they are materially impacting decision-making.

For many business owners, this creates a sense of ambiguity. The instinct is to return to what can be measured ie rankings, even when behaviour has moved beyond it.

SEO and AI search: complementary, not competing

AI-driven search does not just change how businesses are found. It changes how decisions are made.

When a customer asks a question such as: “Who are the top commercial lawyers for business sales?”, they are no longer reviewing a page of results in the same way. They are often presented with a synthesised answer and that answer not only shapes perception, but increasingly, it defines the consideration set. If your business is not included in that response, whether directly or indirectly, you may not be part of the decision at all.

This is where brand, content and search begin to converge. Visibility is no longer just about being present. It is about being recognised, trusted and selected within the environments where answers are formed.

Rather than viewing this as a shift from one approach to another, it is more useful to understand it as an expansion. Traditional SEO continues to play a critical role in ensuring your business is indexed, discoverable and credible within search engines. Technical performance, site structure, keyword alignment and backlinks remain foundational.

At the same time, AI-driven discovery introduces an additional layer. It determines whether your business is included, summarised or referenced within generated answers.

These two dynamics are interconnected. Search engines continue to provide much of the underlying data that AI models rely on so in that sense, strong SEO remains a prerequisite. However, it is no longer the end point – it is the foundation upon which broader visibility is built.

Responding to this shift

For SMEs, responding to this shift does not require abandoning existing strategies – it requires evolving them.

Content must move beyond keywords alone and reflect how people naturally ask questions. This means developing material that addresses real concerns, provides clear answers and demonstrates understanding, rather than simply targeting search terms.

Structure also becomes more important. Content that is clearly organised, easy to interpret and contextually rich is more likely to be understood, both by search engines and by AI systems that synthesise information.

Beyond the website, presence across the broader ecosystem becomes increasingly influential. Third-party mentions, reviews, articles and thought leadership all contribute to how a business is interpreted and validated.

Consistency is equally critical. If messaging varies across platforms, it becomes more difficult for both users and AI systems to clearly understand what the business represents and where its expertise lies.

Integration: following the customer, not the channel

What distinguishes high-performing businesses in this environment is not the volume of activity, but the degree of alignment. Search, content, brand and external presence must work together as a system.

SEO ensures the business is visible and credible, content provides depth and relevance and external signals reinforce authority. AI-driven discovery brings these elements together in the moments that matter.

Importantly, the customer does not experience these channels separately. They experience them as a continuous flow of information and the businesses that succeed are those that align to that flow.


About Milestone-Belanova

At Milestone-Belanova, we work with growth-stage and mid-market organisations to align brand, SEO and emerging AI search strategies into a cohesive system that supports long-term visibility and commercial growth.

Through our Relentless Visibility™ pillar, we help businesses ensure they are not only discoverable, but consistently found, referenced and recommended across both traditional search and AI-driven environments.

As search continues to evolve, the opportunity is not just to keep up, but to position your business to be present wherever decisions are being shaped.

If your business is investing in digital but not yet seeing the full return, we welcome a conversation about how to strengthen your presence across both traditional and AI-driven search.

Time to change to Google Analytics 4

Google Analytics

Since 2012, Universal Analytics has been the primary analytics tool used by Google. At the time it was released, online measurement was centred around the desktop web and made use of data from cookies. However, this system of online measurement has since become outdated and ineffective.

So Google has recently developed Google Analytics 4 to replace the outdated Universal Analytics. Google Analytics 4 allows you to track your users’ journeys across multiple touchpoints, allowing you to gain insights into your customers without the data being split into multiple independent sessions as they move between platforms.

Google Analytics 4 also utilises machine learning to give you predictive insights into the behaviour of users and uses that information to generate new audiences that are likely to respond to your brand.

In addition to these new features, Google Analytics 4 has more integrations across other Google products, uses data-driven attribution to increase your ROI and allows you to minimise the data you collect from users whilst maintaining measurement functionality with new country-level privacy controls.

If you are still using Universal Analytics, it is recommended that you switch as soon as possible or at least install Google Analytics 4 now to start collecting data on the new tool. On 1 July 2023, Universal Analytics will stop processing new data, so if you still haven’t made the switch to Google Analytics 4 you will have no form of online measurement using Google.

You will still be able to access previously processed data using Universal Analytics for 6 months from 1 July 2023 but no new data will be processed so it is important to get ready for the change now. It is even more important to make the change now if you are running Google ads campaigns as the new version is a key consideration in campaign optimisation.

If you need any assistance in installing Google Analytics 4 or would like further information, please give us a call.