Your paid search playbook is obsolete: The AI Overviews shift

The landscape of paid search has undergone a fundamental transformation with the introduction of Google's AI Overviews. Yet, for many established Australian businesses, their paid search playbooks remain largely unchanged, operating on assumptions that are now outdated. The default rule of simply bidding up where performance looks strong and down where it looks weak no longer accounts for how users interact with a search results page that increasingly provides direct answers.

When Google directly answers a user's question, the value of a paid click varies dramatically across keywords. A single bid lever can no longer solve the different problems presented by the new search environment. Continuing with outdated strategies risks significant budget inefficiency and missed opportunities in a critical marketing channel.

The outdated assumption of a single click value

For years, paid search operated on a relatively straightforward premise: secure the top spot, gain the click, and drive a conversion. The underlying assumption was that every query represented a similar kind of commercial opportunity, with a click leading the user directly to a business's site for further engagement. This model struggles under the weight of AI Overviews, particularly for B2B and industrial accounts where sales cycles extend for months and conversion data can be thin.

Google's AI Overviews now provide comprehensive answers directly on the search results page. This changes the dynamics of the ad auction. For many informational queries, the user's need is met without ever clicking through to a website. A click, once a broadly comparable commodity, now carries highly variable commercial intent and, consequently, highly variable value.

Three kinds of query: fight, influence or generate demand

A recent Search Engine Land analysis sorts these challenges into three buckets, each grounded in a different mechanism on the new search results page. It is a useful lens, and it matches how we approach accounts: adapt the strategy to each kind of query, rather than applying a blanket bid strategy.

Fight for commercial intent

This bucket is for bottom-of-funnel queries where user intent is unequivocally commercial. The user knows what they need and is actively seeking a solution or provider. Here, a click still translates directly into a commercial decision – a quote request, a service enquiry, or a direct purchase. For these high-value keywords, winning the top paid spot above the AI Overview remains paramount.

The mechanics here involve precise keyword targeting, aggressive bidding for impression share, and continuous optimisation of ad copy and landing pages to capture this immediate commercial intent. It's about winning the auction for the most valuable clicks, where the user journey still involves a direct site visit. This forms a core component of effective performance marketing.

Influence for informational queries

Many queries are informational, and Google's AI Overview now resolves these directly on the results page. In these instances, the goal shifts from buying a click to influencing the AI answer itself. A paid click on these terms may offer diminishing returns, as the user's primary question has already been addressed.

The focus here is building enough brand authority, and publishing authoritative enough content, that the business is cited within the AI Overview. That takes a deliberate content strategy and technical SEO work so the business's expertise is recognised and referenced by Google's systems. Inclusion in an AI Overview doesn't generate a direct click, but it builds brand recognition and credibility at an early stage of the user's research. It is a long-term play. More on this across our blog.

Generate demand for zero-click journeys

A third group of queries has moved so far towards zero-click resolution that paid search, on its own, can no longer effectively rebuild the user journey. These are often broad, early-stage queries where the user is exploring options or seeking general information that the AI Overview covers in full. Trying to force a click through paid ads in these scenarios often leads to wasted budget and low-quality leads.

For these queries, the strategy extends beyond paid search. It requires a broader approach that builds demand and awareness upstream. That might mean content designed to educate and nurture, or initiatives that build brand recognition through other channels. The objective is to bring users further down the funnel before they engage with a paid search ad, recognising that the ad auction for these terms is no longer the primary battleground.

What this means for established Australian businesses

A one-size-fits-all paid search strategy no longer holds up. For established Australian businesses, continuing to bid as if every click holds the same value is a costly oversight. The practical first step is to re-sort the keyword portfolio through this lens, understanding the intent behind each query and deploying a strategy to match.

Effective paid search now depends on understanding how Google's results page actually works and adapting to it. Budget and effort should follow where the commercial value lies, whether that's fighting for a direct click, influencing an AI answer, or building demand through a broader strategy. That is how paid search stays efficient as the results page keeps changing.