TL;DR
- Google AI Overviews now appear on nearly half of all searches — and paid CTR on those queries has dropped by more than two-thirds.
- CPCs rose 12% year-over-year. Advertisers are paying more per click for a shrinking pool of real users.
- Bot traffic is accelerating — automated traffic now makes up the majority of all web activity and AI is making fraud harder to detect than ever.
- A smaller total click pool, a larger proportion of which is fraudulent. Click fraud’s damage-to-budget ratio is getting worse, not better.
Google Ads has always been a game of efficiency. You bid for clicks, pay for clicks, and hope the people clicking are interested in buying. The game hasn’t changed — but the playing field has shifted dramatically in the past eighteen months, and advertisers who haven’t adjusted are losing on two fronts simultaneously.
On one side, Google AI Overviews are compressing click-through rates while keeping — and in many cases increasing — the cost per click. On the other, bot traffic and AI-powered click fraud are accelerating, filling the void left by real users and quietly draining budgets that are already under pressure. These two forces are amplifying each other, and together they represent one of the most significant threats to Google Ads performance in years.
What AI Overviews are doing to your paid CTR
According to BrightEdge data, AI Overviews now trigger on approximately 48% of all tracked search queries — a 58% year-over-year increase. They appear across 200+ countries and are expanding into more commercial queries with every Google update.
The impact on paid CTR is stark. Research from Seer Interactive tracked paid search performance across thousands of queries between June 2024 and September 2025. For queries where an AI Overview was present, paid CTR dropped from 19.70% to just 6.34% — a collapse of more than two-thirds. For queries without AI Overviews, the decline was far less severe.
“When an AI Overview pushes paid ads below the fold, it triggers a chain reaction: lower CTR means fewer clicks, fewer clicks means fewer conversions, fewer conversions means weaker data for Smart Bidding to learn from.”
— Adthena analysis, Search Engine Land, February 2026
Meanwhile, average Google Ads CPC rose 12% year-over-year to $2.96 (WordStream Q1 2026) — the steepest annual increase since 2021. AI Overviews reduced organic click volume by 8–12%, pushing more users into paid auctions and intensifying competition for what’s left. A $10,000/month budget in 2026 buys roughly 10.7% fewer clicks than it did twelve months ago.
of searches now trigger an AI Overview (BrightEdge, 2026)
paid CTR drop on AI Overview queries (Seer Interactive)
average Google Ads CPC increase YoY (WordStream Q1 2026)
While real clicks shrink, bot traffic is surging
As AI Overviews compress your total click pool, bot traffic hasn’t decreased to compensate. It’s grown.
According to the Imperva/Thales 2025 Bad Bot Report, automated traffic surpassed human activity for the first time, reaching 51% of all web traffic in 2024. Bad bots alone accounted for 37% of all traffic — up from 32% in 2023 — marking the sixth consecutive year of growth. DoubleVerify reported a 106% surge in US bot fraud year-over-year. And generative AI-enabled scams rose 456% between 2024 and 2025 (TRMlabs), as fraudsters use the same AI tools available to legitimate marketers to generate convincing, harder-to-detect synthetic traffic.
CHEQ’s annual State of Fake Traffic report — which analyzed billions of data points across tens of thousands of protected campaigns — found that 17.9% of all traffic studied was fake, a 58% increase from the prior year. The problem spans every major vertical: Finance and Insurance registered 17.3% fake traffic. Retail and eCommerce saw 15.8%. Higher Education hit 15.7%.
“90% of all PPC ad campaigns on Google and Bing are affected by click fraud.”
— CHEQ Research
The uncomfortable conclusion: as AI Overviews shrink the pool of real users clicking your ads, bots and fraudulent traffic are claiming a growing share of what remains. Your budget is being squeezed from both ends simultaneously.
The hidden damage: your Smart Bidding signals
There’s a third dimension to this that receives almost no attention — and it may be the most damaging in the long run.
Today, 86% of advertisers use Smart Bidding (SearchLab 2026). Smart Bidding learns from your conversion data — observing which visitors convert, building a model of your ideal customer, and optimizing toward more of them. That model is only as good as the data that trains it.
When a bot clicks your ad and triggers your tracking pixel, Google’s algorithm records that as a positive signal. Over hundreds of fraudulent events, the algorithm quietly learns that bot-like traffic is valuable. It begins optimizing toward it. Targeting degrades. Cost per genuine conversion rises. And because the dashboard still shows conversions, the problem is nearly invisible until it’s deeply embedded in your campaign’s learned behavior.
⚠️ The compounding loop
AI Overviews compress your click pool → bots make up a larger share of remaining clicks → bot conversion events contaminate your Smart Bidding signals → your algorithm optimizes toward more bot-like traffic → cost per genuine conversion rises further. Each stage amplifies the one before it.
This is the problem ClickCease’s Pixel Guard Connector was built to solve. By preventing tracking pixels from firing on invalid users entirely, Pixel Guard ensures that bot events never enter your Smart Bidding data. Clean signals in means clean optimization out — and over time, campaigns with clean bidding signals consistently outperform those trained on contaminated data.
What you can do right now
Audit your keyword intent mix. AI Overviews most aggressively affect informational queries. Shift budget toward high-intent, transactional terms — those with commercial modifiers like “pricing,” “quote,” or “[brand] vs [competitor]” — where AI summaries have less impact and users are closer to a purchase decision.
Protect your conversion signals, not just your clicks. Blocking fraudulent clicks is necessary but not sufficient. If bots are reaching your site and triggering conversion events, they’re training your Smart Bidding algorithm on the wrong audience. Ensure your fraud protection covers the full funnel — not just the click.
Pay attention to Performance Max specifically. PMax is the most vulnerable campaign type to signal contamination because it spans the widest range of placements and relies most heavily on conversion data. Invalid events in PMax have a compounding effect across search, display, YouTube, Gmail, and Maps simultaneously.
Budgets are under real pressure in 2026. Every click that reaches a bot is a click that didn’t reach a buyer — and right now, that gap is wider than it’s been in years. With ClickCease currently offering 30% off your first three months, there’s never been a better time to make sure your ad spend is working as hard as it should be.
The bottom line
Google AI Overviews and click fraud aren’t separate problems — they’re two forces converging on the same resource. AI Overviews reduce the total pool of clicks available. Bots claim a growing share of what remains. And fraudulent conversion events quietly corrupt the campaign intelligence that determines where your next dollar gets spent.
The advertisers who maintain performance in this environment protect both ends: blocking fraudulent clicks before they consume budget, and preventing invalid events from contaminating the data their campaigns learn from. The pressure from AI Overviews is largely outside your control. The fraud draining what remains is not.
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Sources: CHEQ, State of Fake Traffic 2024; CHEQ Research, More Than One-Fifth of Web Traffic Is Invalid; Seer Interactive paid search panel, June 2024–September 2025; BrightEdge AI Overview frequency data, February 2026; Adthena / Search Engine Land, What Industry Data Reveals About the Impact of Google’s AI Overviews on Paid Search, February 2026; Imperva/Thales, 2025 Bad Bot Report; DoubleVerify industry data; WordStream, Google Ads Benchmarks Q1 2026; TRMlabs generative AI fraud analysis 2025; SearchLab Smart Bidding adoption data 2026.