The short answer: a specialized, AI-aware PPC audit can do it, because the old playbook is missing the new leaks. Google Search generated $63 billion in Q4 2025 revenue, AI Mode now has 75 million daily active users and over 100 million monthly active users, and AI Overviews appear on 48% of all search queries with ads in 25.5% of AI-generated results—a 394% year-over-year increase. Meanwhile, simple informational queries can see a 61% CTR drop when AI features are present, and position 1 rankings face a 34.5% CTR decline due to AI Overviews. That is wasted ad spend in plain sight.
So, who can do ppc audit work that actually matters now? Not just any agency. A real PPC audit has to find where AI Mode, AI Overviews, and shifting click behavior are draining budget, then map those losses back to keywords, query types, and ad surfaces. If your current management team is still judging success by yesterday’s metrics, they are likely missing today’s leaks.
Standard campaign management is no longer enough. The search results page has changed, user behavior has changed, and the money is still leaving the account.
Google’s search environment is now AI-first, and that changes where attention goes and where clicks disappear. AI Mode grew 4x from its May 2025 launch and now processes over 1 billion monthly queries in the US and India. It jumped from 0.25% of searches in May to over 1% by July 2025. That is not a small test. It is a fast-moving shift in how users search, compare, and decide.
The mechanics matter. AI Mode fan-out uses a technique issuing up to 16 simultaneous queries and displays no traditional organic results. Users spend 49 seconds per session in AI Mode versus 21 seconds with AI Overviews, but 93% of AI Mode queries end with zero outbound clicks. In other words, the session may be longer, but the click opportunity is often gone.
AI Overviews sit above organic results, and the ad layer is expanding inside that environment. Ads now appear in 40% of AI Overview SERPs for certain commercial queries by November 2025, up from 3% in January 2025. Google is also running 816 active experiment IDs testing AI Mode monetization, while ad data is fetched by AsyncDataService in 60ms, long before the 6+ seconds of AI response generation. That timing gap matters. The page is already shaping perception before the user ever gets to a traditional click.
For advertisers, this creates a hidden problem. Even when your ads appear, they are wrapped in AI-generated context that can absorb intent before the user reaches your landing page. The result is a new kind of zero-click searches pressure, and it is one reason an audit must now examine more than bids, budgets, and average position.
| AI Search Metric | Value |
|---|---|
| AI Mode launch growth | 4x |
| Monthly AI Mode queries | Over 1 billion |
| Queries with no traditional organic results in AI Mode | 100% |
| AI Mode queries ending with zero outbound clicks | 93% |
| Ads in AI Overview SERPs for certain commercial queries by November 2025 | 40% |
The click-through-rate damage is not theoretical; it is measured. Seer Interactive analyzed 68,000 real queries and 25.1 million impressions, confirming a 46.7% relative CTR decline for complex informational queries. That is the kind of signal a specialized auditor uses to separate noise from real performance erosion.
The most striking drop appears in simple informational queries. CTR fell from 1.76% without AI features to 0.61% with AI features present, a 61% decline. Commercial and comparison queries saw a 15% CTR decline, while branded queries actually posted an 18% CTR increase. That split is critical. It means the impact is not uniform, and an effective audit must segment by query intent instead of treating every keyword the same.
This is where many accounts quietly bleed budget. If your campaign structure assumes all searches behave like they used to, you may be overfunding weak segments and underreacting to the places where AI Overviews are suppressing demand. The best audits do not just report performance. They reallocate attention toward the queries most exposed to CTR decline and away from segments that still hold demand.
The broader shift is still accelerating. By the end of 2026, 25% of organic search traffic is projected to shift to AI chatbots and voice assistants. At the same time, ChatGPT Ads reached $100M annualized revenue in six weeks, which adds cross-platform confusion for brands trying to understand where discovery begins and ends. This is no longer a single-platform problem.
The risk is not evenly distributed. Some sectors are already living inside AI-heavy results pages, which makes a targeted industry AI Overviews review far more urgent. If you are running a healthcare PPC audit or managing B2B tech ads, you are likely dealing with far more AI interference than a lower-exposure vertical.
AI Overviews presence by industry is already high across several key categories: Healthcare: 88%, Education: 83%, B2B Technology: 82%, Restaurants: 78%, Insurance: 63%, and eCommerce: approximately 45%. Those are not minor variances. They show where the market is most exposed to AI-mediated discovery and where wasted ad spend can compound fastest.
The user journey is also getting tighter. AI Mode users can now jump directly from AI Overviews into full AI Mode conversations, which locks in the zero-click loop. Google also launched the Direct Offers format, further blurring the line between organic and paid. That means your paid message may be competing not just with rival ads, but with Google’s own AI layer and its embedded commercial pathways.
If your vertical sits near the top of these exposure numbers, the issue is urgent. The higher the AI Overview presence, the more likely your spend is being filtered, deferred, or cannibalized before a click ever happens.
A real PPC audit is done by a specialized PPC auditor who understands AI search behavior, query intent, and budget leakage at the surface level. The auditor must review 100 top keywords for AI Overview presence and ad cannibalization, because the problem rarely shows up in aggregate reports. It hides in specific queries, specific placements, and specific intent buckets.
That same auditor must understand the difference between a 15% CTR decline for commercial queries and an 18% branded increase so budget can be reallocated intelligently. Those numbers are not just statistics. They are routing instructions. Without that segmentation, a team can easily overprotect branded traffic while missing the commercial terms where the losses are mounting.
A competent AI-aware audit also has to trace how Google’s 816 active monetization experiments may be affecting account performance. Add in the 58% surge in AI Overviews referenced in recent studies, and it becomes clear that legacy audit frameworks are obsolete. The search environment moved. The audit must move with it.
This is why a generalist agency often misses the point. A routine review may still look at CPC, CPA, and conversion rate, but a true Google Ads budget leak repair process goes further. It identifies AI-generated overlays, zero-click zones, and query types that have been silently absorbed into Google’s evolving interface. That is the difference between reporting and recovery.
If your Google Ads campaigns are bleeding money because of AI Overviews, AI Mode, and collapsing CTRs, the only way to stop it is an audit that audits the new search reality. A standard checkup will not catch the full pattern. You need a process built for the age of AI search, one that identifies where visibility exists, where clicks vanish, and where budget is being quietly drained.
Leverage a Google Ads Audit built for the age of AI search. Learn how Google Ads Audit can reveal hidden leaks, expose AI-driven inefficiencies, and help you move budget back toward performance that can actually convert.
