Google Search Clicks Drop by 60%: What It Means for Website Traffic?

If your organic traffic has been declining despite stable or improving rankings, you’re not imagining it — and you’re not alone. A growing body of data suggests that click-through rates from Google Search have dropped dramatically over the past two years, with some studies pointing to reductions of up to 60% for certain query types. The cause isn’t algorithmic penalties or ranking drops. It’s structural: Google is increasingly answering questions directly in the search results, without users ever needing to click through to a website.

Understanding what’s driving this shift — and what to do about it — is now one of the most pressing questions in SEO.

What’s Actually Happening?

The mechanism is straightforward, even if the implications are significant. Google has been expanding the surface area of its search results page to include direct answers: featured snippets, AI Overviews, knowledge panels, People Also Ask boxes, local packs, image carousels, shopping results, and most recently AI Mode. Each of these features is designed to resolve the user’s query on the page itself, reducing the need to click through to a source.

The result is what researchers and SEOs have been calling “zero-click searches” — queries that result in a search session but no website visit. For informational queries, especially (“what is the capital of Victoria,” “how many calories in an avocado,” “when is Australia Day”), the answer is now often present on the results page in full.

AI Overviews — Google’s AI-generated summaries that appear at the top of results for a growing range of queries — have accelerated this trend significantly. Early data following the rollout of AI Overviews suggested CTRs for featured-snippet-type queries declined sharply in markets where they were deployed. This is well documented, with AI Overview CTR analysis exploring how click patterns have shifted in detail.

Which Types of Queries Are Most Affected?

Not all search traffic is equally at risk. The impact varies significantly by query type.

Informational queries are the most affected. If someone searches “how to remove a tick” or “what does a slipped disc feel like,” Google now frequently answers that question directly. The user gets what they need without visiting a website. For publishers and content-heavy sites that relied on informational traffic as the top of their funnel, this represents a material reduction in organic visits.

Navigational queries — searches where someone is specifically looking for a brand or website — are largely unaffected. If someone searches “Rank My Business SEO agency Melbourne,” they intend to visit that site, and they will.

Commercial and transactional queries — “best SEO agency Melbourne,” “buy running shoes online,” “physiotherapist Juhu” — are more mixed. Google’s local pack, shopping results, and knowledge panels can reduce clicks, but high-intent transactional queries still drive significant click-through because users need to actually engage with the business or make a purchase.

The practical implication is that traffic reductions are most severe for content strategies built primarily around informational volume — the classic “attract a large audience with how-to content, convert a small percentage” model that dominated SEO strategy for a decade.

AI Overviews Are Changing the Equation Further

The rollout of Google’s AI Overviews has added a new dimension to the zero-click problem. Rather than just surfacing a snippet from a single page, AI Overviews synthesise information from multiple sources into a comprehensive answer displayed before any organic results. Users who receive a satisfactory answer from the AI Overview have even less reason to scroll down and click.

The shift isn’t just about fewer clicks — it’s also about how users are changing the way they search. Queries are getting longer and more conversational, people are using follow-up questions within a session, and the expectation that Google will answer directly rather than point to sources is becoming normalised.

For Melbourne businesses and their SEO strategies, this connects directly to AI Mode visibility — appearing in Google’s AI-generated answers is now a meaningful channel in its own right, distinct from traditional organic rankings. Being cited in an AI Overview drives brand visibility even without a click, and in some cases does generate clicks for users who want to verify or explore further.

What the Data Actually Shows?

It’s worth being precise here, because the picture is more nuanced than “clicks are down everywhere.”

Research consistently shows that clicks from Google have declined most steeply for:

• Short, factual informational queries
• Queries where a featured snippet provides a complete answer
• Local queries resolved by the map pack (call or directions, no website visit needed)
• Queries where an AI Overview covers the full scope of the question

However, clicks have held up better or even increased for:

• Queries requiring deeper reading, comparison, or research
• Commercial queries where the user needs to evaluate options
• Branded queries
• Queries where the user needs something on an actual website (a booking, a download, a purchase)

The 60% figure, while striking, applies to the highest-impact query categories. Across all query types, the average decline is lower — but still significant and trending in one direction.

What This Means for Your SEO Strategy?

The response to this shift isn’t to abandon SEO. Organic search still drives enormous traffic, and the businesses that adapt will be better positioned than those that ignore the trend. But it does mean rethinking which metrics you optimise for and which types of content you prioritise.

Rethink your content goals. Pure informational content designed to capture broad audience traffic via high-volume queries is a less reliable strategy than it was. Content that earns AI Overview citations, generates brand recognition, and serves the bottom of the funnel — where commercial intent is high and clicks matter more — is increasingly important.

Optimise for impressions and brand visibility, not just clicks. Appearing in AI Overviews and featured snippets still has value even when it doesn’t generate a click, because it builds brand familiarity and signals authority. Your content strategy should include structured, citable content that AI systems can draw from — this is the core idea behind making your brand machine-readable in AI search.

Double down on commercial and transactional pages. Service pages, product pages, comparison content, and location pages for local searches are where clicks still convert to business value. Investing in on-page SEO best practices for these pages — intent alignment, structured data, clear calls to action — pays higher dividends than ever.

Build direct traffic and owned channels. Email lists, social followings, repeat visitors, and direct website traffic are not subject to Google’s architecture decisions. Businesses that relied entirely on organic search traffic for new visitors are more exposed to this trend than those with diversified traffic sources.

Invest in local SEO. For businesses serving a specific geography, local search traffic — particularly map pack rankings, Google Business Profile visibility, and “near me” queries — remains highly valuable and click-driven. Understanding why your business might not be showing in near-me searches is directly relevant here.

The Parallel Opportunity: AI Search Visibility

While the decline in traditional organic clicks is real, it has a counterpart that most businesses aren’t yet capitalising on: AI search visibility. Being cited or referenced in AI-generated answers is an emerging channel that functions differently from organic rankings but serves a similar awareness purpose.

The businesses that will navigate this shift most successfully are those treating AI search visibility as a distinct strategic objective. This means structured data, strong E-E-A-T signals, clear entity definition, and content architecture designed to be cited — not just ranked. The guide on optimising content for AI search covers the specific tactics in detail.

The impact of AI on Google Ads and traffic is also relevant for businesses running paid alongside organic, as organic CTRs decline for certain query types, paid search becomes relatively more important for capturing intent-based traffic, and the balance between the two channels may need to shift. Separately, understanding Google Ads vs SEO as complementary rather than competing strategies matters more now than when organic traffic was abundant and cheap.

Conclusion

The 60% figure is a data point in a broader structural shift — Google is becoming an answer engine rather than a directory of links, and AI is accelerating that transformation. This isn’t a temporary algorithm wobble that will revert; it’s the direction the product is designed to move in.

That said, websites still receive billions of clicks from Google every day. The businesses that understand which queries still drive clicks, optimise their content and technical foundations accordingly, and adapt their measurement frameworks to account for AI visibility alongside traditional traffic will find that meaningful organic value remains — it’s just distributed differently than before.

The businesses most at risk are those that haven’t updated their SEO strategy since 2022 and measure success solely by organic sessions. The businesses best positioned are those treating search visibility in 2026 as a multi-channel discipline that includes traditional rankings, AI Overview citations, local presence, and structured data — alongside the direct and referral traffic channels that don’t depend on Google’s architecture at all.

For Melbourne businesses looking to assess their current exposure and adapt their strategy, a free SEO audit is a practical starting point for understanding where your traffic currently comes from and which channels are most at risk.