Your advert can still appear near the top of Google and bring in fewer leads. The reason is often sitting above it: a generative search answer that gives searchers enough information to stop clicking.
The latest AI Overviews paid search data shows that this isn’t only an SEO problem. If you rely on Google to generate enquiries, you need to understand how zero-click search behavior affects paid search performance and how to protect the traffic that still matters.
Key Takeaways
- AI Overviews reduce clicks to both organic listings and paid ads on many informational searches, often impacting your click-through rates.
- Informational queries and broad, early-stage keywords are most exposed because Google can answer search intent without sending visitors onwards.
- Your reports need to separate AI Overview queries from ordinary search results.
- Better lead tracking matters more than chasing a higher click-through rate.
- You can protect paid search performance and overall paid search performance with tighter intent, stronger landing pages and qualified-lead data.
Why AI Overviews paid search results receive fewer clicks
AI Overviews place a generated summary at the top of a search engine results page. They often combine several sources, answer follow-up questions and suggest next steps. For a searcher looking for basic advice, that can remove the need to visit any website.
Research points to a material reduction in outbound traffic as a result of growing AI search usage. A randomised field study of AI Overview click loss found that Google users clicked external sites 38% less often when an AI Overview appeared, accelerating the shift toward zero-click search.
The impact becomes clearer when you consider how people use search. Someone who enters upper-funnel queries like “how much does PPC cost” may read the summary, compare the ranges and leave. A person searching “PPC management for construction firms London” has a much stronger reason to click, assess your offer and submit an enquiry.
Paid ads aren’t exempt. Seer Interactive’s analysis of queries with AI Overviews found that click-through rates fell from 19.70% to 6.34% between June 2024 and September 2025. That doesn’t mean every account will suffer the same decline. It does mean your existing averages may hide a serious weakness in certain keyword groups, even if your ad position remains high.
An ad can retain a strong position but lose demand when the search results page answers the question before the user reaches it.
Google may show ads above, below or alongside an AI Overview, depending on the query and auction. Yet the user has less ad visibility and attention available. Your headline now competes with an immediate summary rather than a familiar list of organic traffic links in search advertising.
Measure the click loss before changing your budget
Don’t assume that every lower CTR is caused by AI Overviews. Seasonality, competitors, pricing and search demand all affect performance. Instead, compare like with like.
Start by reviewing Search Console informational queries that contain language such as “what is”, “how to”, “cost of” and “best way to”. Then review Google Ads search terms for the same themes. If impressions hold steady while clicks and conversion volume fall, AI summaries may be part of the explanation.
Pew Research Center found that users clicked a traditional search result on 8% of visits with an AI summary, compared with 15% when no summary appeared, which heavily impacts click-through rates across campaigns. Its analysis of Google user behaviour also found that users ended their browsing session more often after seeing an AI answer in a zero-click search environment.
Track the commercial effect at campaign and query level, keeping an eye on how fluctuations in cost per click alter overall campaign efficiency.
| Signal | What it may show | Useful response |
|---|---|---|
| Impressions rise, clicks fall | Your ad is visible but attracting less attention, lowering impression share for high-intent terms | Improve targeting and assess affected queries |
| CTR falls but conversion rate rises | Fewer low-intent users are clicking, leading to better conversion rates overall | Protect budget and monitor lead volume |
| Cost per lead falls but sales quality drops | Automated bidding is finding cheap, weak enquiries | Import qualified leads and sales outcomes |
| Organic clicks decline on advice content | An overview is satisfying early research intent | Build pages that offer depth, proof and next steps |
Don’t judge the situation on CTR alone. A lower CTR can be acceptable if your remaining visitors convert into better opportunities. However, a decline in qualified enquiries, booked calls or revenue needs a direct response.
Put paid spend behind intent that AI cannot satisfy
Your paid search account should focus on searches where a summary cannot replace a supplier. Strong search intent usually includes a service, location, specification, urgency or buyer constraint.
For example, “Google Ads agency for B2B software” tells you much more than “what is Google Ads”. Transactional queries suggest that the user may be comparing providers, whereas upper-funnel queries usually start a learning journey that Google can summarise in a few lines.
Review your keyword groups and separate them into three practical categories:
- High-intent terms that mention a service, product, location or clear buying need, supported by a refined keyword strategy.
- Research terms that help build awareness but need lower bids and realistic lead expectations.
- Broad queries that draw curiosity clicks without a credible path to an enquiry, especially when relying on broad match campaigns.
You should also use negatives with more discipline. Exclude searches for definitions, jobs, free templates, courses and low-value DIY advice when they don’t match your offer. This reduces wasted spend and gives your strongest ads a better share of budget.
A capable Google Ads agency should review search terms, match types, conversion data and landing-page performance together. Optimising your paid media investments and search engine marketing without fixing the page after the click rarely solves a lead problem.
Build landing pages that answer the next question
AI Overviews can handle simple facts. Your landing page must give people a reason to choose you after they click. That means answering the commercial questions that generic summaries cannot settle.
Show the services you provide, the type of client you work with, evidence of outcomes and what happens after someone enquires. Use direct language. A vague claim about tailored solutions doesn’t help a buyer decide whether you understand their problem.
Keep the first screen focused, especially within a competitive mobile environment. A clear proposition, relevant proof and a simple form or telephone option reduce friction. If you ask for too much information before an initial conversation, you may lose a prospect who was ready to talk, which ultimately protects your conversion rates.
Structured data can still improve how pages appear in an ordinary search engine results page, although it won’t guarantee an AI Overview citation. Ahrefs reported that the top organic result receives substantially fewer clicks when an overview is present, impacting both organic traffic and overall ad visibility, as outlined in its updated AI Overview CTR research. Rich results, useful titles and clear page structure therefore remain worth maintaining.
Your organic content also needs a sharper purpose. Publish authoritative guides that explain your method, include original examples and lead naturally towards a service page. An experienced SEO agency can combine this work with technical SEO and relevant links, rather than treating blog traffic as the finish line.
Feed qualified lead data back into Google Ads
Google Ads can optimise only for the conversion signals you provide. If every form completion counts as a success, the platform will pursue the cheapest forms, including spam, student research and poor-fit enquiries.
Set clear lead stages in your CRM. At minimum, distinguish between an initial enquiry, a qualified lead, a booked meeting, an opportunity and a sale. When you feed this information into smart bidding strategies, campaign structure becomes much more effective at filtering out low-value traffic.
Import later-stage outcomes into Performance Max campaigns and search setups where possible. This helps your bidding algorithms learn which searches lead to real business, while also exposing campaigns that look efficient on paper but produce weak pipeline value. For lead generation, cost per qualified lead and revenue per click often tell you more than standard cost per form metrics.
A PPC agency should look beyond platform reporting to evaluate overall impression share and shopping ads visibility if applicable. Your sales team can spot poor leads quickly, while your advertising data can show where they came from. Bringing those two views together prevents a flattering dashboard from masking a poor return.
Paid social can reduce dependence on search for B2B and high-consideration services. A specialist LinkedIn advertising agency can target job titles, company types and industries before buyers search. Your LinkedIn agency should still assess lead quality against pipeline, not form volume, while monitoring brand exposure and shifts in cost per click.
For consumer offers, a Facebook Ads agency can help you build demand through audiences and creative, then use search to capture the intent that follows.
Frequently Asked Questions
How do AI Overviews affect paid search performance?
AI Overviews can reduce click-through rates by answering user queries directly on the results page, leaving searchers less inclined to click on ads. While your ad may still maintain a top position, the overall demand and traffic volume for broad informational keywords often decline.
Should I stop bidding on informational keywords entirely?
Not necessarily, but you should adjust your expectations and bids for early-stage research terms. Focus the majority of your budget on high-intent transactional queries that AI cannot easily satisfy, such as specific service or location-based searches.
How can I protect my lead volume in an AI-driven search landscape?
Shift your focus from raw click volume to lead quality and conversion efficiency. Build landing pages that offer deep commercial proof, refine your negative keyword strategy, and feed offline sales data back into Google Ads to optimise for qualified leads rather than cheap form fills.
Protect the lead, not the click
AI Overviews have made raw click volume less dependable, particularly when evaluating paid search performance for broad research queries. Generative search and the rise of the zero-click search mean you have to adapt your approach to match evolving search intent, even though you cannot control where Google places its summaries. You can control the queries you buy, the proof your pages provide, and the sales outcomes you measure.
The strongest response is commercial focus. Put your budget behind transactional queries, refine your keyword strategy to protect ad visibility, and build pages that support a buying decision while modernising your search advertising. Train your campaigns on qualified leads rather than cheap form submissions.
