Google Ads: The Shift From Clicks to Visibility

The CTR Collapse Nobody Saw Coming

In July 2025, something remarkable happened. In a single month, paid click-through rates on AI Overview queries collapsed from around 11% to 3%. Not a gradual slide. Not a platform glitch. One month, one shift, tens of thousands of advertisers left staring at dashboards they no longer recognised.

The broader picture is just as stark. Analysis by Seer Interactive tracked 25.1 million impressions and found paid CTR on AI Overview queries fell 68%, dropping from 19.7% to 6.34% between June 2024 and September 2025. Meanwhile, AI Overviews now appear in roughly 48% of all Google searches as of early 2026, up 58% from December 2025. That is not a niche disruption. That is a structural rewrite of how paid visibility works.

The instinct is to panic. To cut budgets, blame the platform, or wait for Google to reverse course. That instinct is wrong. The brands seeing 127% higher conversion rates from AI Overview placements compared to traditional search ads are not doing anything magical. They are doing something methodical: they are optimising for intent, not impressions.

What this actually means for your campaigns

The decline hits hardest on informational queries, where AI Overviews are most prevalent. For brands that built their paid strategy around top-of-funnel awareness keywords, the rug has been pulled. But for brands whose paid media is anchored in genuine purchase intent, something different is happening: conversion rates are actually improving across 65% of industries, even as overall click volume falls.

That gap is the opportunity. Fewer clicks, but better ones. The question is not how to get more impressions. It is how to earn the impressions that convert.

Intent, Not Keywords: The Real Shift

The keyword was always a proxy. A shortcut. It stood in for the actual thing a person wanted to do, find, or understand. Google's AI search layers have done something simple but irreversible: they have made the gap between the keyword and the intent impossible to ignore.

When someone types "best accounting software for small business," they are not looking for a list of accounting software. They are asking: "Given my constraints, which tool will actually solve my problem?" The AI Overview knows this. It answers the real question. Your ad, if it still leads with "Best Accounting Software," is answering a different question to the one that was asked.

How intent signals actually work

Google's AI Max for Search and Performance Max do not process keywords the way a traditional search campaign does. The keyword becomes a starting point, a directional signal, and the system expands from there, through mechanisms like Final URL expansion in Performance Max, based on what the page says, what the user's history suggests, and what the AI Overview is actually answering.

This means your keyword list matters far less than your content ecosystem. A landing page that comprehensively addresses the intent behind your keywords will attract more Final URL expansion placements than one that repeats those keywords with elegant redundancy. The AI reads for understanding, not for presence.

The query intent journey from awareness to action now happens almost entirely within Google's AI layer. Your ad earns placement by being the credible next step at each stage:

The Campaign Types That Read Intent

Google has been transparent about which campaign types are best positioned for AI Overview visibility. Shopping, Performance Max, and AI Max for Search are the three it recommends, and not by accident. These are the campaign types built around signals rather than syntax. They do not wait for a keyword match. They look for an intent match, and Final URL expansion is the clearest example of that shift.

Shopping campaigns: the feed is the foundation

Shopping campaigns are the original keywordless campaign. Their performance is almost entirely a function of data feed quality. When a user asks a high-intent question inside Google's AI system, the product carousel generated at the top or bottom of the AI Overview is populated from product feeds. A feed with thin descriptions, missing attributes, or low-quality images is not just underperforming: it is invisible.

Populate every optional feed attribute. Write titles that answer the intent, not just describe the product. Use images that show the product in context, not just on a white background. These are not nice-to-haves. They are the difference between appearing and not appearing in the AI layer.

Performance Max: content is the campaign

Performance Max uses a combination of page content, data feed, and audience signals to determine where and when to serve ads. Enabling Final URL expansion means Google can serve your ad for queries where the landing page content is relevant, even if your keyword list does not explicitly cover them. The more comprehensive and informative your pages, the wider and more precise your Final URL expansion reach becomes.

AI Max for Search: intent as a jumping-off point

AI Max for Search uses your existing keywords as starting signals and expands beyond them to find contextually relevant queries. Combined with broad match and smart bidding, it treats each keyword as an intent cluster rather than an exact phrase. Campaigns that have not adapted are seeing impression share drop by 40% month over month while those using AI Max with strong intent signals are capturing conversion rates 127% higher than traditional search ads.

How well each campaign type aligns with AI Overview intent matching:

Source: Search Influence analysis, 2026. folkfox index score based on intent signal flexibility, Final URL expansion availability, and AI Overview placement eligibility.

Your Landing Page Is Your Ad

In a traditional search campaign, the ad was the pitch and the landing page was the fulfilment. In an AI Overview campaign, the relationship has inverted. The landing page is the pitch. The ad is the doorbell.

Google's Final URL expansion reads your landing page content and decides whether it matches the query a user just asked. This is not a keyword density check. It is a comprehension test that Final URL expansion runs on every page you own. Does this page understand what the user wants? Can it answer it? Is it authoritative enough to be the recommended next step after an AI-generated response?

How to build a page Google's AI will trust

Audience Signals: Your Compass in the Dark

The perceived loss of control in Performance Max and AI Max campaigns is real. The system decides where to show your ad, which assets to serve, and which queries to match, often through Final URL expansion. What most advertisers do not appreciate is that this automation is not running blind. It is running on signals. And the quality of the signals you provide determines whether it runs well or wastefully.

Audience signals are your strongest lever. First-party customer lists tell the system what a converting customer looks like. In-market audiences direct it toward people actively researching solutions like yours. Customer match layers add recency and intent depth. Together, they make the automation intelligent rather than expensive.

Creative assets: coverage is not clutter

AI Overviews do not serve ads in a fixed format. They adapt to the query, the user, and the context. Your ad appears differently in a product carousel than in a sponsored summary, differently on mobile than desktop, differently for a returning visitor than a new one.

Asset diversity is not aesthetic variety. It is coverage. Square, landscape, and vertical image formats. Short, medium, and conversational headline variations. Informational and action-oriented descriptions. The system picks the right combination for each context. Give it the full toolkit.

For iGaming and fintech brands in particular, where regulatory constraints limit certain copy directions, asset diversity is the primary lever for competitive AI Overview placement. The brands with the broadest compliant asset library have the widest coverage.

Monitoring as Competitive Advantage

Automation without oversight is not efficiency. It is negligence with a delayed invoice. The same AI systems that can place your ad precisely in front of a high-intent user can also, unchecked, serve your brand in contexts that erode it. That is not a platform failure. It is a management failure.

Negative keywords: guardrails, not limitations

In an intent-driven campaign architecture, negative keywords are not restrictions on reach. They are precision tools. They define the boundaries of where your brand belongs. Used well, they make the automation smarter by eliminating the low-quality impressions that drag down conversion signals and inflate CPC.

Account-level exclusions are particularly important for regulated industries. For healthcare brands, certain symptom-based queries should never trigger a paid ad. For iGaming operators, responsible gambling adjacent queries require careful exclusion management. The monitoring discipline is not optional in these verticals. It is the licence to operate at scale.

What This Means Right Now

The AI search transition is not a future event to prepare for. It is a current condition to manage. AI Overviews appear in nearly half of all searches. AI Mode has 75 million daily active users and growing. The brands already operating with intent-first campaigns, information-rich landing pages, and strong audience signal architecture are pulling ahead. The gap between them and brands still running 2024 playbooks widens every month.

None of this is technically complex. All of it requires sustained attention and a clear understanding of intent. The fox does not run faster. It reads the landscape better. In the AI search era, that discipline is the competitive advantage.

Frequently Asked Questions