Google Ads did something no one predicted. It survived.
A 2026 randomised field experiment found that AI Overviews crushed organic clicks by 39.8 percent on the queries where they appeared, yet clicks on sponsored results stayed flat. That single finding rewrites the channel hierarchy for every Australian business spending money on search.
And the data behind the shift is not slowing down. In Australia, the term “google ads” is searched 74,000 times per month with a 22 percent year-on-year rise, according to DataForSEO AU data pulled 30 August 2026. The channel is not shrinking. It is being re-bought.
That combination is unusual. A channel in trouble normally loses searchers and advertisers together. Here, organic is bleeding while paid grows.
This article breaks down seven findings from the data, explains what they mean for your paid budget, and shows how we at 21 Webs buy clicks in the AI era.
Key Takeaways
- A randomised field experiment confirmed paid clicks were unaffected by AI Overviews while organic clicks fell 38 to 39.8 percent.
- “Google ads” runs at 74,000 monthly searches in Australia, up 22 percent year on year. “Google ads for small business” surged 467 percent year on year.
- Ads now appear above, below and inside AI Overviews. Being cited in the AI answer lifts paid performance; brands cited in AI Overviews earn 91 percent more paid clicks.
- Performance Max and AI Max turned the platform into an AI-bidding machine. The manager’s role shifted from keyword selection to signal strategy.
- Local Services Ads deliver leads at roughly half the cost of standard Search Ads for Australian trades, creating a paid ladder between the two formats.
- Google AI Mode passed one billion monthly users one year after launch, and Google is already testing ad placements inside conversational AI answers.
Paid Clicks Survived AI Overviews. Organic Clicks Did Not.
This is the single most important channel fact of the AI era.
Researchers Saharsh Agarwal (Indian School of Business) and Ananya Sen (Carnegie Mellon University) ran a randomised field experiment with 1,065 US desktop Chrome users between January and February 2026. They used a custom browser extension to randomly show or hide AI Overviews during live Google searches, isolating the causal effect for the first time.
The results, published on SSRN in April 2026 and revised June 2026, were stark:
- Organic clicks fell 38 to 39.8 percent on queries where AI Overviews appeared.
- Zero-click searches rose from 54 to 72 percent. The majority of users never left the results page.
- Clicks on sponsored (paid) results stayed flat. The damage was concentrated entirely in organic.
- User satisfaction scores did not change. Removing AI Overviews made no measurable difference to how users rated their search experience.
That last point is worth pausing on. Users did not miss the AI summaries when they were taken away, yet those summaries ate nearly 40 percent of organic clicks when present.
Read that again slowly, because it tells you where this is heading. Google has no reason to remove a feature that users rate the same either way and that keeps people on the results page. AI Overviews are not a test. They are the destination. Every planning decision you make about search traffic from here should assume they stay and expand.
The zero-click shift matters as much as the click decline. When zero-click searches move from 54 to 72 percent, the audience has not disappeared. It has stopped travelling. People are getting their answer on the results page and never arriving at a website. For an organic listing, that is close to fatal, because the entire value of a ranking was the visit it produced. For a sponsored listing, the value sits in the impression, the brand exposure, and the click that arrives when the user decides they want a quote rather than an explanation. Different asset. Different survival.
For businesses that rely on organic search, this is a structural loss. For businesses running paid campaigns, the click survived.
Multiple other studies point the same direction. One found a 58 percent CTR decline for the top-ranking page on queries with AI Overviews. A separate analysis tracked a 61 percent drop across 5.47 million queries and 42 organisations. The numbers vary by sample and method, but the direction is unanimous: organic clicks are falling, paid clicks are holding.
If you have been wondering whether the PPC versus SEO calculus changed in 2026, it did. Paid search is no longer just the “quick wins” channel. It is increasingly the reliable one.
The Channel Is Being Re-Bought, Not Abandoned
The search demand data tells its own story.
In Australia, “google ads” runs at 74,000 searches per month with a 22 percent year-on-year trend rise (DataForSEO AU, 30 August 2026). That is not a channel people are abandoning. It is a channel people are researching before they buy back in.
The more revealing signal sits in the long tail. “Google ads for small business” surged 467 percent year on year in the same dataset. That is not a rounding error. It is a wave of small business owners and marketing managers actively searching for how to use the platform.
Here is what we think is driving the demand.
Organic uncertainty. Business owners who built their lead pipeline on organic traffic saw it erode, sometimes without warning, as AI Overviews expanded. Paid search offers a floor: you pay, you appear.
AI-driven simplification. Google has made campaign setup easier with Performance Max and AI Max. The barrier to entry dropped while the urgency rose.
Visibility anxiety. When your competitor appears in the sponsored slot above the AI Overview and you do not, the gap is visible and immediate.
For a Werribee-based plumber or a Melbourne accountant, the question is not “should I be on Google Ads.” The question is “how much of my budget should shift there now that organic is less predictable.”
There is a useful way to think about that. Split your lead sources into two piles. Pile one is everything you own and earn: organic rankings, your Google Business Profile, referrals, repeat customers. Pile two is everything you rent: paid clicks, marketplace leads, anything where the flow stops the moment you stop paying. The AI shift damaged pile one and left pile two intact. That does not mean you abandon pile one, because owned channels are still the cheapest leads you will ever get. It means you stop pretending pile one is enough on its own. Most of the businesses we speak to have been running pile one exclusively and have no floor under them at all.
We wrote about the broader zero-click economy and what it did to Australian organic search. The paid channel is, in many ways, the response to that shift.
Ads Now Live Inside the AI Answer, and Being Cited Lifts Paid Performance
Google is monetising the AI answer itself. This changes the game.
According to Google’s own Ads Help documentation, ads are now eligible to appear above, below and within AI Overviews. Australia is one of the markets where ads inside AI Overviews are already live on mobile and desktop.
Here is what that means in practice:
- Text and Shopping ads from existing Search, Shopping and Performance Max campaigns can appear within AI Overviews without any special opt-in or new campaign type.
- Google uses both the user query and the content of the AI Overview to decide which ads to serve.
- Sensitive verticals (healthcare, finance, gambling, politics) are currently excluded from in-AIO ad placements.
One analysis across 42 organisations adds a layer that most advertisers have not absorbed yet: brands that are cited inside an AI Overview earn 35 percent more organic clicks and 91 percent more paid clicks than brands that are not cited on the same results page. That figure, tracked across 42 organisations and millions of impressions, suggests that AI citation and paid search performance are now coupled.
In plain terms: if the AI Overview mentions your business and your ad appears on the same page, your ad performs nearly twice as well as it would without that citation.
The person reading an AI Overview has just been handed the answer. They are informed, not converted, and what they need next is a business they can trust to do the work. The citation does the persuading. The ad collects the intent.
This is why we tell our clients at 21 Webs that AI visibility and paid search are not separate strategies. They are the same strategy. Your content earns the citation. Your ad captures the click. The two work as a pair.
The operational consequence is that your paid team and your content team should be looking at the same queries in the same meeting. When we review a client account, we pull the search terms that are already triggering AI Overviews in their category and check two things side by side: is the brand mentioned in the answer, and is there an ad in the placement. A mention without an ad is an open door. An ad without a mention is paying full price for a harder conversation.
We covered the mechanics of how AI search reshapes local discovery in a recent piece. The paid implications sit right alongside the organic ones.
Performance Max and AI Max Made the Platform an AI-Bidding Machine
The Google Ads you set up in 2019 does not exist anymore.
Two developments reshaped what an advertiser actually controls:
Performance Max campaigns now run across Search, YouTube, Display, Gmail, Maps and Discover from a single campaign. Google’s AI decides where to place your ad, what creative to show, and how much to bid, all in real time. The 2026 updates added channel-level reporting transparency, so you can finally see where your budget went, but the allocation itself remains AI-driven.
AI Max for Search moved out of beta in April 2026, with Google announcing that hundreds of thousands of advertisers were already using it. Starting September 2026, all campaigns using Dynamic Search Ads, automatically created assets, and campaign-level broad match are being automatically upgraded to AI Max. The upgrade brings three features:
- Search term matching: AI infers intent from your landing pages and ad copy, matching your ads to queries you never explicitly bid on.
- Text customisation: generative AI writes headline and description variations in real time to match each query.
- Final URL expansion: Google’s AI selects the best landing page for each search, even if you did not nominate it.
Google’s own data shows AI Max campaigns deliver an average 7 percent more conversions at a similar cost per acquisition when using the full feature suite, compared to search term matching alone.
What does this mean for the advertiser’s job?
- You no longer pick keywords. You provide signals: landing pages, audience lists, conversion goals, brand guidelines, negative keywords.
- You no longer write every ad. You set guardrails: mandatory text, brand voice, excluded terms. The AI generates variations.
- You watch outcomes, not inputs. The metric that matters is cost per qualified lead, not individual keyword bids.
For many Australian small businesses, this is actually good news. Managing a keyword list of 300 terms with match types and bid adjustments was never a good use of a business owner’s time. The AI does that now. What it cannot do is define your service offering, your pricing, your unique value, or the landing page experience that converts. Those are human decisions, and they matter more than ever.
Two of those three features deserve a closer look, because they are where accounts quietly go wrong.
Final URL expansion is the one that catches people out. The AI will choose a landing page for each query, and if the page it picks is your homepage, your service page or your pricing page, that is the page your money lands on. It is a genuine improvement when your site is well built and well structured. It is a liability when your site is a maze, because the system is now making navigation decisions on your behalf with your budget. The fix is not to switch the feature off. The fix is to make every page the AI might pick a page that can convert on its own.
Search term matching does something similar to your targeting. It reads your landing pages and your ad copy and matches you to queries you never bid on. That widens your reach and your exposure at the same time. Which is why the negative keyword list stops being housekeeping and becomes strategy. If your landing page talks about emergency call-outs, the system will find emergency queries, and you will want to have decided in advance which of those you are happy to pay for.
If you are still running a Google Ads account built around exact-match keywords and manual CPC bidding, the platform has moved past you. Talk to our team about what an AI-era account structure looks like.
"Google Ads for Small Business" Is Up 467 Percent Year on Year
The SMB wave is real, and it is measurable.
When a keyword like “google ads for small business” grows 467 percent year on year (DataForSEO AU, 30 August 2026), it signals more than curiosity. It signals that a cohort of business owners who were previously sitting on the sideline is now actively looking for a way in.
Several forces are converging:
The organic traffic squeeze. Small businesses that relied on local SEO and blog content for leads are seeing declining click volumes. Paid search becomes the backstop.
AI-simplified onboarding. Google’s guided campaign setup, combined with Performance Max and AI Max, means a business owner can launch a campaign without understanding match types, quality score mechanics or bid modifiers.
Competitive pressure. In sectors like trades, legal and healthcare across Melbourne’s west, the businesses already running ads are capturing the leads that used to come through organic. If you are not there, someone else is.
For an Australian small business, the practical question is budget. Most businesses in the $1,000 to $2,500 per month ad spend range can generate a meaningful pipeline if the account is structured correctly and the landing page converts. That is not a guess; it is consistent with published Australian benchmarks from multiple provider guides reviewed in August 2026.
The risk for the SMB wave is not the channel itself. It is running the channel poorly: broad targeting with no negative keywords, sending traffic to a homepage instead of a purpose-built landing page, or trusting Google’s “smart” defaults without reviewing what the AI is actually doing.
Notice that all three failures are structural rather than technical, and none of them is fixed by spending more. That is precisely the gap an agency fills. We have written about what AI search means for SEO and how the broader landscape is shifting. The paid side needs the same strategic hand.
Local Services Ads Deliver Leads at Roughly Half the Cost of Search Ads
For Australian service businesses, Local Services Ads (LSAs) create a paid ladder that did not exist five years ago.
The format is different from standard Google Ads. You pay per lead, not per click. A lead is a phone call, message or booking that comes through the ad. If the lead is junk (wrong area, wrong service, repeat caller), you can dispute it and receive a credit. The ad appears at the very top of the results page, above standard text ads and above the Map Pack, with a Google Verified badge.
Here is how the costs compare based on 2026 benchmark data:
Local Services Ads: Australian trades like plumbing, electrical and HVAC typically see costs per lead in the range of $20 to $60 AUD, with a midpoint around $60 for competitive metro markets. Lawyers and mortgage brokers run higher at $60 to $150 AUD. A February 2026 US benchmark covering 888 contractors and $6.72 million in spend put the blended figure at $53 USD across home services.
Standard Google Search Ads: In the same dataset, standard Search Ads for home services averaged roughly $104 USD per lead. In Australian metro markets, the typical cost per lead for competitive trade keywords sits around $90 to $100 AUD, depending on city and category. Sydney and Melbourne run the highest; regional areas are lower.
The ratio is consistent across every benchmark we have reviewed: LSAs deliver leads at roughly 40 to 50 percent less than standard Search Ads for the same service categories.
The practical play for most Australian service businesses is to run both formats:
LSAs capture high-intent callers at a lower cost per lead. They work especially well for emergency and “near me” searches where the user wants to call, not research.
Search Ads capture broader demand. They let you target specific keywords, run dedicated landing pages, and reach services that LSAs may not cover in your category.
Think of it as a ladder rather than a choice. The top rung is the emergency caller who needs someone now, and LSAs are built for that person. The rungs below are the researched purchases, the replacement, the renovation, the project with a decision window measured in weeks, and those belong to Search Ads and your own pages. A business running only one rung is either paying over the odds for emergency leads or missing them entirely.
In Australia, LSA eligibility depends on your business category and region. Not all service types are available yet, and the screening process (licence verification, insurance, background checks) takes two to six weeks. If you qualify, getting in early matters. Review volume and response time are ranking factors for LSA placement, so the businesses that start first build a structural advantage.
That two to six week window is worth planning around rather than reacting to. It is long enough that a competitor who starts today will be taking calls before you have finished the paperwork. And because review volume and response time feed placement, an early start compounds: more placement produces more leads, more leads produce more reviews, and more reviews lift placement again.
If you are a Werribee plumber or a Melbourne electrician and you are not yet running LSAs alongside your Google Ads campaigns, you are leaving the cheapest leads on the table.
How 21 Webs Buys Clicks in the AI Era
We run our own paid campaigns. We eat what we cook.
Here is how our approach at 21 Webs has shifted in the past twelve months:
We stopped building accounts around keyword lists. Our campaigns now run on Performance Max and AI Max with clearly defined conversion goals. We provide the AI with strong landing pages, precise negative keyword lists and audience signals, then let the bidding engine do what it does best. The human work moved upstream: defining who we want to reach, what message they should see, and where they should land.
We paired paid with AI-citation strategy. We know that a Google Ads campaign works harder when our brand appears in the AI Overview on the same results page. So our SEO team builds the content that earns citations, and our paid team runs the ads that capture the click. The two are no longer separate departments with separate KPIs. They share one goal: qualified leads through the door.
We watch cost per qualified lead, not cost per click. A $2 click that bounces is worth nothing. A $14 click that fills in a quote form is worth everything. Our reporting is built around business outcomes, not platform vanity metrics.
We invest in landing pages as much as ad spend. Google’s AI Max can generate headlines and select URLs, but it cannot fix a poorly structured landing page. Every dollar in ad spend should be matched by investment in the page that receives the traffic. We build our own landing pages on custom WordPress with fast load times, mobile-first layouts, and clear calls to action; the same standard we build for clients through our web design service.
We test Local Services Ads for every eligible client. The cost per lead advantage is too significant to ignore. For trades and professional services, LSAs sit at the top of the funnel at roughly half the cost of standard Search Ads. We treat them as the entry point to the paid ladder, with Search Ads and Performance Max picking up the queries LSAs cannot cover.
What we do not do is set and forget. AI-powered campaigns still need a human reviewing search term reports, checking asset performance, adjusting budgets by day and geography, and flagging when the AI is spending on terms that do not convert.
Without that cadence, an AI-run account drifts. It keeps spending, it keeps reporting, and it slowly wanders away from the business it was meant to serve. The drift is invisible in a dashboard and obvious in a bank account.
The AI runs the auction. We run the strategy.
Chart: Organic vs Paid Click Impact When AI Overviews Appear
Source: Agarwal & Sen (2026), randomised field experiment, 1,065 participants, January to February 2026. Published on SSRN, revised June 2026.
Metric | Without AI Overview | With AI Overview | Change |
|---|---|---|---|
Organic clicks per search | 0.61 | 0.38 | Down 38 to 39.8% |
Paid (sponsored) clicks per search | Flat baseline | Flat baseline | Unaffected |
Zero-click rate | 54% | 72% | Up 34.5% |
Important FAQs
Do Google Ads still work?
Did AI Overviews kill paid search?
What happened to Google Ads?
Is Google Ads worth it in the AI era?
The Bottom Line
Google Ads is not a search channel anymore. It is an AI-placement channel that happens to live on a search engine.
Paid clicks survived the change that devastated organic clicks. The channel is being re-bought by Australian businesses at scale, with 74,000 monthly searches and a 22 percent year-on-year rise. AI Overviews created new ad surfaces, and being cited in the AI answer nearly doubles your paid click performance.
The old playbook of picking keywords, writing three headlines and setting a daily budget is gone. Performance Max and AI Max shifted the work from keyword management to strategy, signal quality and landing page performance.
For Australian small businesses, the path is clear:
Run paid alongside SEO. Paid is your reliable floor. SEO earns AI citations that amplify your ads.
Test Local Services Ads. If you qualify, the cost per lead is roughly half what standard Search Ads deliver.
Invest in landing pages. The AI can bid and write headlines. It cannot fix a page that does not convert.
Watch outcomes, not inputs. Cost per qualified lead is the number. Everything else is noise.
We are a Werribee-based agency, and we run paid search for Australian businesses every day. If your Google Ads account was built before AI reshaped the platform, it is time for a rebuild.
Sources
[1] Agarwal, S. (Indian School of Business) and Sen, A. (Carnegie Mellon University), randomised field experiment, 1,065 US desktop Chrome users, January to February 2026. Published on SSRN, April 2026; revised June 2026.
[2] Google, “Ads in AI Overviews”, Google Ads Help. https://support.google.com/google-ads/answer/16297775?hl=en
[3] Google, “Dynamic Search Ads upgrade to AI Max”. https://blog.google/products/ads-commerce/dsa-upgrade-to-ai-max-2026/
