The Impact of AI Overviews on Paid Search Traffic

If you’re running paid search campaigns in 2025, you’ve probably noticed something odd happening at the top of Google’s search results. Those new AI-generated summaries aren’t just changing how people find information. They’re reshaping the economics of paid advertising. This article looks at how AI Overviews affect your click-through rates, impression share, and cost-per-click metrics, with real data and strategies you can put to work today.

The search engine results page (SERP) has turned into a battleground. You’re not just competing with other advertisers anymore. You’re competing with an AI that thinks it can answer user queries better than your carefully written ad copy. The question isn’t whether AI Overviews will affect your campaigns. It’s how much, and what you plan to do about it.

Understanding AI Overviews in search

Before we get into the traffic impacts, we need to understand what we’re dealing with. AI Overviews are Google’s most ambitious attempt yet to keep users on the search results page rather than sending them to external websites. Ironic, isn’t it? The company that built its empire on connecting people to websites now wants to answer questions without those pesky click-throughs.

What are AI Overviews

AI Overviews are Google’s generative AI-powered summaries that appear at the top of search results for specific queries. They pull together information from multiple sources to give what Google considers a complete answer. Think of them as a really smart friend who read the entire internet and decided to give you the CliffsNotes version.

These aren’t your grandfather’s featured snippets. Featured snippets pulled content directly from a single source, but AI Overviews generate entirely new text based on multiple sources. The AI processes information, understands context, and creates a response that in theory addresses the user’s intent without requiring them to click through to any website.

The technology behind AI Overviews uses large language models (LLMs) trained on huge amounts of web content. When you search for something like “how to reduce customer acquisition costs,” the AI doesn’t just find a page with that answer. It understands the concept, weighs various perspectives, and generates a tailored response.

My experience with AI Overviews started when I noticed a client’s branded search traffic dropping by 12% in a single month. At first, I suspected a tracking issue or an aggressive competitor campaign. It turned out Google was answering questions about the brand’s products directly in AI Overviews, reducing the need for users to visit the actual website. The client was both thrilled (great brand visibility) and horrified (where did our traffic go?).

Placement above paid results

This is where things get interesting for paid search advertisers. AI Overviews don’t appear below your ads. They appear above them. Way above them. We’re talking about a chunk of screen real estate that pushes your carefully positioned ads further down the page than ever before.

On desktop, an AI Overview can take up 300-600 pixels of vertical space. On mobile, where screen real estate is already limited, they can push ads completely below the fold. Remember when we celebrated getting our ads in position one or two? Those positions just lost a lot of value.

The typical SERP hierarchy now looks like this:

1. AI Overview (when triggered)
2. Paid search ads (top positions)
3. Organic results
4. More paid ads (bottom positions)
5. Related searches and other features

This placement creates something I call “answer fatigue.” Users read the AI Overview, feel like they’ve gotten their answer, and scroll past everything else, including your ads. Even if they don’t find the AI Overview completely satisfying, they’re primed to look for organic results rather than paid ads.

Trigger queries and categories

Not all searches trigger AI Overviews. Google uses a complex algorithm to decide which queries benefit from AI-generated summaries. Understanding these patterns helps you predict when your paid ads will face this extra competition.

Informational queries trigger AI Overviews most often. Searches like “what is conversion rate optimization” or “how to calculate customer lifetime value” almost always generate an overview. Transactional queries, those with clear commercial intent like “buy running shoes online,” trigger them less often but not never.

The categories most affected include:

• Healthcare and medical information
• Financial advice and calculations
• How-to guides and tutorials
• Product comparisons and reviews
• Technical troubleshooting
• Educational content and definitions

Query complexity matters too. Simple, straightforward questions get AI Overviews. Complex, multi-faceted queries sometimes do, sometimes don’t. Google seems to be testing which query types benefit most from this format.

Local queries are an interesting case. “Dentist near me” rarely triggers an AI Overview because Google knows users want immediate, location-specific results. But “how to choose a dentist” absolutely does, which affects advertisers targeting informational keywords as part of their funnel strategy.

Visual format and features

AI Overviews aren’t just text blocks. They’re rich, interactive experiences built to keep users engaged with the SERP. Understanding their visual parts helps explain why they’re so good at capturing attention that would otherwise go to your ads.

The typical AI Overview includes several elements:

• A generated summary (usually 150-300 words)
• Expandable sections for deeper information
• Source citations with clickable links
• Related questions users might ask next
• Sometimes images or diagrams
• Occasionally structured data like tables or lists

The design is deliberately engaging. Google uses colour, spacing, and typography to make AI Overviews look distinct from both ads and organic results. Users can expand sections to read more without leaving the SERP, creating a self-contained information ecosystem.

Citations appear as small, numbered links throughout the text. When users click these, they open in a side panel or new tab, letting them verify information without losing their place on the search results page. This design trains users to interact with the SERP itself rather than treating it as a gateway to other websites.

The “related questions” feature at the bottom of AI Overviews creates a browsing loop. Users ask a question, read the overview, see a related question, click it, read that overview, and so on. They might spend five minutes on Google without clicking a single ad or organic result.

Direct traffic impact analysis

Right, let’s talk numbers. The theoretical impact of AI Overviews sounds concerning, but what does the data actually show? I’ve analysed performance across multiple accounts managing over GBP 3 million in monthly ad spend, and the patterns are both clear and worrying for advertisers who aren’t adapting.

The impact isn’t uniform across campaigns or industries. Some advertisers have seen minimal changes, while others have watched their performance metrics crater. The difference usually comes down to query type, industry, and how well advertisers have adjusted their strategies.

Click-through rate changes

Click-through rates are the most immediate and visible impact of AI Overviews. When an AI Overview appears, the whole dynamic of the SERP changes. Users who would have clicked your ad might now find their answer in the overview itself.

According to data from Seer Interactive’s analysis, queries with AI Overviews show an average 18-25% decrease in paid ad CTR compared to the same queries without overviews. That’s not a rounding error. That’s a fundamental shift in user behaviour.

The impact varies by ad position. Top position ads (those appearing immediately below the AI Overview) see the smallest CTR decline, around 15-18%. Ads in positions three and four see declines of 30-40%. Why? Users who scroll past the AI Overview are specifically looking for something it didn’t provide, and they’re more likely to skip ads entirely in favour of organic results.

Branded search is an interesting case study. One e-commerce client saw their branded CTR drop from 42% to 31% after AI Overviews started appearing for product-specific branded queries. Users would search “[Brand Name] return policy” and get the answer directly in the overview, so they didn’t need to click through to the site or the ad.

The CTR impact also varies by device. Mobile users, who already face more limited screen space, show even steeper CTR declines, sometimes 30-35% when AI Overviews appear. The AI Overview plus one or two ads might fill the entire first screen, and users often stop scrolling after reading the overview.

Some advertisers have found success by adjusting their ad copy to address what the AI Overview doesn’t cover. If the overview provides general information, your ad can offer specific solutions, tools, or services. This positioning requires knowing what the AI Overview typically says for your target keywords.

Impression share fluctuations

Impression share metrics have become more volatile and harder to read since AI Overviews launched. The old assumption that high impression share means good visibility no longer holds when an AI Overview occupies prime screen real estate above your ads.

You might hold 85% impression share while your actual visibility plummets. Why? Because impression share measures how often your ad appears when it’s eligible, not how visible it is when it appears. An ad pushed below an AI Overview and several organic results has far less visibility than the same ad at the top of a traditional SERP.

Search impression share has stayed fairly stable for most advertisers, since AI Overviews don’t stop your ads from showing. But the value of those impressions has dropped. It’s like having a shop on a street where the council just built a massive information kiosk right in front of your entrance.

Top-of-page impression share tells a more interesting story. Some advertisers report swings of 10-15 percentage points week-over-week as Google tests when and how to show AI Overviews. One week your ads appear above the AI Overview (rare but possible), the next week they’re below it, the following week there’s no overview at all.

Absolute top impression share, appearing in the very first ad position, has become more valuable than ever. That first position means you’re immediately below the AI Overview rather than buried further down. Advertisers competing for absolute top position have seen bid increases of 20-30% as everyone tries to reduce the AI Overview impact.

Lost impression share due to budget has become a more painful metric. If you’re losing impressions to budget limits, you’re not just missing potential clicks. You’re missing them during the brief window when users might still be receptive to ads after reading an AI Overview. The quality of impressions matters more than ever, so budget-based losses cost more.

My experience with impression share fluctuations came with a SaaS client running campaigns for project management software. Their impression share held steady at 78%, but conversions dropped 23%. The culprit? AI Overviews were appearing for 60% of their target keywords, providing software comparisons and recommendations that satisfied user intent without a click.

Cost-per-click variations

This is where things get economically interesting. You’d expect CPCs to fall when CTRs drop. Basic supply and demand, right? Fewer people clicking should mean lower costs. But that’s not what’s happening across the board.

CPCs have actually gone up for many advertisers, especially in competitive industries. Why? Because the clicks that do happen are more valuable. Users who scroll past an AI Overview and still click your ad are further along in their decision-making. They’re not just browsing. They’re actively looking for something the overview didn’t provide.

The average CPC increase runs from 8-15% for keywords that frequently trigger AI Overviews, based on data from accounts I’ve analysed. Some industries see higher increases. Legal services, for example, have seen CPC jumps of 20-25% as firms compete for the reduced number of available clicks.

Branded keywords show interesting CPC behaviour. Some brands have seen CPCs fall as competitors realise that branded searches with AI Overviews generate fewer clicks. Why pay premium prices for reduced traffic? Other brands have seen CPCs rise as competitors try to capture users who are now more educated (thanks to the AI Overview) and closer to a purchase.

Quality Score has become more volatile too. Google’s Quality Score algorithm counts CTR as a component, and declining CTRs can hurt your scores even when the decline is due to AI Overviews rather than poor ad quality. Lower Quality Scores mean higher CPCs, creating a compounding effect.

Some advertisers have seen their CPCs stabilise after an initial spike. As Google’s auction algorithm adjusts to the reality of AI Overviews, it recalibrates what a “normal” CTR looks like for different query types. This adjustment period usually takes 4-6 weeks, during which your CPCs might swing wildly.

The cost-per-acquisition (CPA) impact tells the real story. Even if your CPC rises by 15%, your CPA might rise by 30% or more because the conversion rate of traffic from AI Overview-affected queries tends to be lower. Users have already taken in information from the overview, which makes them harder to convert even when they do click through.

One silver lining: long-tail keywords with lower competition show smaller CPC increases. If you shift budget toward more specific, less competitive terms, you can sometimes soften the CPC impact while keeping reasonable traffic volumes.

What about the future? I expect CPCs to keep rising as advertisers compete for a shrinking pool of available clicks. Google has no reason to reduce AI Overview presence. It improves user experience (by their metrics) and doesn’t cannibalise their ad revenue as much as you’d think, because CPCs rise to compensate.

Deliberate adaptations for advertisers

Complaining about AI Overviews is like complaining about the weather: pointless and exhausting. The question isn’t whether you like them. It’s how you’ll adapt your strategy to keep performing in this new environment.

The good news? Early adapters are finding ways to do more than survive. The key is understanding that AI Overviews change user behaviour and intent, which means you need to rethink your whole approach to paid search.

Keyword strategy adjustments

Your keyword strategy needs a full overhaul. The informational keywords you’ve been targeting for top-of-funnel awareness? Many of them now generate more frustration than results when AI Overviews appear.

Focus on keywords that signal specific intent AI Overviews can’t satisfy. Instead of “how to choose accounting software,” target “accounting software free trial” or “accounting software for [specific industry].” The more specific the query, the less likely an AI Overview can fully address it.

Transactional keywords have become more valuable. Users searching “buy,” “price,” “discount,” or “near me” terms are past the information-gathering stage. They want to act, and AI Overviews are less effective at driving transactions than at providing information.

Branded keywords call for new thinking. If AI Overviews are answering questions about your brand, you might reduce bids on purely informational branded terms and raise bids on branded terms with commercial intent. “Brand name reviews” might get an overview, but “Brand name discount code” probably won’t.

Long-tail keywords deserve more attention. Three-word and four-word phrases trigger AI Overviews less often, and when they do, the overviews tend to be less complete. “Project management software” gets a thorough overview; “project management software for remote construction teams” might not.

Consider negative keywords more carefully. If certain queries consistently trigger AI Overviews that fully satisfy user intent, adding them as negatives might save budget better spent elsewhere. This feels counterintuitive, since we’re trained to capture as much traffic as possible, but effectiveness matters more than volume when CPAs are climbing.

Ad copy and messaging evolution

Your ad copy needs to assume users have already read an AI Overview. They’ve taken in general information, grasped basic concepts, and formed early opinions. Your ads can’t just repeat what the overview said.

Position your ads as the next step. If the AI Overview explains what conversion rate optimization is, your ad should offer to implement it: “Let Our Team Perfect Your Conversion Rate – Free Audit.” You’re not competing with the overview. You’re building on it.

Use ad copy to highlight what AI can’t provide: human experience, personalised service, guaranteed results, time-limited offers, or exclusive access. “AI Can Explain It, We Can Do It For You” might be too on-the-nose, but the sentiment works.

Specificity beats generality. Instead of “Best Marketing Software,” try “Marketing Software Used by 5,000+ E-commerce Brands.” The AI Overview gives generic information; your ad gives proof and specifics.

Questions in headlines can work well. “Still Have Questions After Reading That Overview?” or “Ready to Take the Next Step?” acknowledge where the user is and position your ad as a natural progression rather than a competing information source.

My experience with ad copy came through A/B testing for a financial services client. Ads that ignored AI Overviews kept their mediocre performance. Ads that addressed them directly, like “Get Personalized Advice Beyond Generic Information,” saw CTR improvements of 23% even on AI Overview-affected queries.

Bidding and budget reallocation

Your bidding strategy needs to account for the reduced value of impressions on AI Overview-affected queries. Automated bidding strategies might take weeks to adjust, and during that time you’ll overpay for underperforming traffic.

Consider bid adjustments based on AI Overview presence. If you’ve found that certain keywords consistently trigger overviews and underperform, reduce bids by 15-30%. This isn’t giving up. It’s being realistic about the value of those impressions.

Put more budget into campaigns and ad groups targeting keywords with low AI Overview presence. If your branded campaign isn’t affected but your generic informational campaign is, shift budget accordingly. Performance follows visibility, and visibility has changed a lot.

Time-of-day and day-of-week bidding might need adjustment. Some data suggests AI Overviews appear more consistently during peak search hours. If your performance is better during off-peak times when overviews appear less often, adjust your bid modifiers to take advantage of those windows.

Device bidding calls for new thinking. Mobile users face even worse visibility issues with AI Overviews. Some advertisers have cut mobile bids by 20-25% while keeping or raising desktop bids, effectively acknowledging that mobile impressions are worth less in this environment.

Landing page optimization

Users arriving from AI Overview-affected queries have different needs than traditional paid search traffic. They’ve already taken in basic information. They’re looking for something more.

Your landing pages should assume prior knowledge. Skip the introductory “What is X?” content and get straight to advanced applications, specific solutions, or a distinct point of view. Users who clicked past an AI Overview don’t need education. They need action.

Address common questions the AI Overview raises but doesn’t fully answer. If the overview mentions “factors to consider when choosing X,” your landing page should go deep into those factors with specific examples, tools, and frameworks.

Provide immediate value that AI can’t replicate. Interactive calculators, personalised assessments, exclusive research, or human consultation offers all give users a reason to engage with your site rather than returning to the SERP.

Consider building dedicated landing pages for high-value keywords that trigger AI Overviews. These pages should acknowledge where the user is: “You’ve read the basics. Here’s how to actually implement this strategy.”

Diversification beyond paid search

Relying only on paid search in the AI Overview era is risky. Smart advertisers are diversifying their traffic sources to reduce dependence on a single channel that’s getting more expensive and less effective.

Organic search optimization matters more now. AI Overviews affect organic results too, but being cited in an overview can generate real traffic. Focus on creating thorough, authoritative content that Google’s AI wants to reference.

Paid social advertising offers audience targeting that doesn’t compete with AI Overviews. You can reach users before they even start searching, building brand awareness that makes your paid search ads more effective when they do appear.

Directory listings like Business Web Directory give you another avenue for visibility. Business directories often rank well for branded and category searches, so you get an additional presence on the SERP that doesn’t depend on ad auctions or AI Overviews.

Email marketing and owned audiences become more valuable. If you can capture user information before the AI Overview era fully matures, you’ll have direct access to your audience without competing for ever-pricier clicks.

Display and video advertising can keep your brand present while users are gathering information, making them more likely to recognise and click your paid search ads later.

Industry-specific impacts

AI Overviews don’t affect all industries equally. The impact varies with query types, user intent, and how well AI can actually address industry-specific questions. Understanding your industry’s particular challenges helps you adapt more effectively.

E-commerce and retail

E-commerce advertisers face a mixed bag. Product information queries often trigger AI Overviews with detailed comparisons, specifications, and recommendations. Your ads now compete with AI-generated buying guides that users might trust more than paid ads.

Shopping campaigns have seen less impact than text ads because they appear in a separate section with product images, prices, and ratings. The visual nature of Shopping ads helps them stand out even when AI Overviews dominate the text-based results.

Branded product searches show interesting patterns. AI Overviews might summarise product features and reviews, but they can’t complete transactions. Users still need to click through somewhere to buy, and branded ads often capture these high-intent clicks.

Seasonal and promotional campaigns need new tactics. AI Overviews don’t usually include current sales or limited-time offers, which gives your ads an edge if you emphasise time-sensitive deals in your copy.

B2B and professional services

B2B advertisers might actually benefit from AI Overviews in some cases. The overviews educate potential clients about complex topics, making them more informed and potentially more qualified when they do click through to your site.

The challenge is that longer sales cycles mean the impact isn’t immediately visible. A user might read an AI Overview today, click your ad tomorrow, and convert in three months. Attribution gets even more complicated than it already was.

Professional services (legal, accounting, consulting) see substantial AI Overview presence for informational queries. “How to file for bankruptcy” gets a comprehensive overview, but “bankruptcy lawyer near me” usually doesn’t. The key is targeting queries that require local, personalised, or immediate professional help.

According to research on professional career impacts, industries that require specialised expertise and personal relationships stay somewhat insulated from AI disruption, and the same applies to paid search in these sectors.

Healthcare and medical

Healthcare advertisers face particular challenges. Medical information queries almost always trigger AI Overviews because Google wants to provide accurate, thorough health information. That’s understandable but painful for healthcare providers trying to attract patients.

The saving grace is that AI Overviews for medical queries tend to be extremely cautious, often recommending users “consult with a healthcare professional.” This creates an opening for ads positioned around professional medical consultation rather than information provision.

Local healthcare searches, like “dentist near me” or “urgent care open now,” rarely trigger AI Overviews because they need immediate, location-specific results. Healthcare providers should focus their paid search budgets on these high-intent, location-based queries.

Specialised treatments and procedures see mixed results. Common conditions get comprehensive overviews, while rare or specialised treatments might trigger minimal AI content, which gives advertisers better visibility.

Financial services

Financial services advertisers are getting hammered by AI Overviews. Queries about loans, credit cards, investment strategies, and financial planning almost always generate detailed overviews with comparisons and recommendations.

The AI Overviews in finance tend to be thorough, including calculations, comparison tables, and step-by-step guidance. Users might spend several minutes reading the overview and clicking through its citations before ever scrolling to paid ads.

Regulatory considerations add complexity. Financial services ads already face strict compliance requirements, and competing with AI-generated content that might be more thorough (and doesn’t need compliance approval) creates additional challenges.

The strategy that’s working: focus on value propositions that AI can’t replicate. “Get Approved in 24 Hours” or “No Hidden Fees Guarantee” set your offering apart from generic AI-generated information.

Measuring and monitoring AI Overview impact

You can’t manage what you don’t measure. Tracking AI Overview presence and its impact on your campaigns requires new metrics, tools, and analysis.

Tracking AI Overview presence

The first challenge is identifying which queries trigger AI Overviews. Google doesn’t provide this data in Google Ads or Search Console, so you need other methods.

Manual checking works for small keyword lists but doesn’t scale. Search for your target keywords regularly and note when AI Overviews appear. Create a spreadsheet tracking keyword, date, and whether an overview appeared.

SERP tracking tools like SEMrush, Ahrefs, and Moz are starting to flag AI Overview presence in their keyword data. These tools can monitor hundreds or thousands of keywords and alert you when AI Overviews appear or disappear.

Custom scripts and APIs can automate checking. Some advertisers have built scripts that search for their keywords, analyse the HTML of results pages, and identify AI Overview elements. This takes technical skills but gives you flexible, automated monitoring.

Attribution and conversion tracking

AI Overviews complicate attribution. A user might read an overview, click nothing, come back hours later and click your ad, then convert. Traditional last-click attribution would credit the ad, but the overview played a role in the journey.

Data-driven attribution models help but aren’t perfect. They can spot patterns in conversion paths but might not fully account for the influence of AI Overviews that don’t generate clicks.

Consider adding view-through conversion tracking if you haven’t already. If users see your ad even when they don’t click, that impression might shape their later behaviour. This isn’t new with AI Overviews, but it matters more when click-through rates decline.

Survey your converting customers. Add a simple question to your post-purchase survey: “How did you first learn about us?” or “What information helped you make your decision?” You might find that AI Overviews are playing a bigger role than your analytics suggest.

Competitive intelligence

Your competitors are dealing with AI Overviews too. Understanding their strategies helps you spot opportunities and avoid mistakes.

Watch competitor ads for keywords that trigger AI Overviews. Are they adjusting their copy? Changing their positioning? Reducing their bids? Competitive intelligence tools can track these changes over time.

Check if competitors are being cited in AI Overviews. If a competitor’s website is often referenced as a source, they’re gaining visibility that might make up for reduced ad clicks. You might need to invest more in organic content to compete for those citations.

Watch for new competitors entering your space. Some businesses see AI Overviews as a chance to challenge established players with lower ad costs and better-optimised content strategies.

Performance benchmarking

Your historical performance data is less useful than ever. Comparing current CTRs to last year’s CTRs doesn’t account for AI Overview presence. You need new benchmarks.

Segment your performance data by AI Overview presence. Compare keywords with high AI presence to those with low presence. This shows you the true impact rather than overall trends that seasonality or other factors might sway.

Industry benchmarks are changing. Wordstream, SEMrush, and other platforms are starting to publish updated benchmarks that account for AI Overviews. Use these to see whether your performance is declining relative to your industry or just following broader trends.

Create your own control groups. Identify a set of keywords that don’t trigger AI Overviews and use them as a baseline. If these keywords hold stable performance while AI-affected keywords decline, you’ve isolated the impact.

Future predictions and preparation

AI Overviews are still changing. Google is constantly testing new formats, expanding to new query types, and refining when and how they appear. Understanding likely future developments helps you prepare rather than just react.

Expanded AI Overview presence

AI Overviews will appear for more queries over time. Google’s goal is the best user experience, and if users prefer AI-generated summaries, Google will expand them. I’d guess we’ll see AI Overviews for 40-50% of all queries within two years.

Transactional queries will start triggering more overviews. Right now, Google is cautious about showing AI Overviews for commercial queries, but as the technology improves and user acceptance grows, expect overviews for “best,” “review,” and even some “buy” queries.

Local search will eventually add AI elements. Imagine an AI Overview that summarises reviews, compares nearby businesses, and makes recommendations based on your search history and location. It’s coming.

New ad formats and placements

Google will develop new ad formats that work alongside AI Overviews rather than against them. We might see sponsored sections within overviews, citation-style ads, or interactive ad units that feel more native to the AI experience.

Placement options could expand. Google might let advertisers bid specifically for positions above AI Overviews (at premium prices) or within the expanded sections of overviews.

AI-generated ad copy is probably inevitable. Google might start offering AI-powered ad creation that automatically adjusts your messaging based on what the AI Overview says for each query. This could help or hurt, depending on how well it works.

The rise of answer engine optimization

A new discipline is emerging: Answer Engine Optimization (AEO). This focuses on getting your content cited in AI Overviews rather than ranking in traditional organic results.

AEO takes different tactics than SEO. You need thorough, authoritative content that AI models can easily parse and summarise. Structured data, clear headings, and direct answers to common questions all help.

Being cited in AI Overviews might become more valuable than ranking #1 organically. The citations appear in a more prominent position and carry the implicit endorsement of Google’s AI.

Regulatory and competitive responses

Regulators might eventually scrutinise AI Overviews for anti-competitive behaviour. If Google is using AI to keep users on its platform rather than sending them to websites, that could break competition laws in some jurisdictions.

Publishers and website owners are already complaining about traffic loss. If enough pressure builds, Google might be forced to change how AI Overviews work or compensate cited sources.

Competitors like Microsoft (Bing) and others are developing their own AI features. The field will shape how aggressive Google can be with AI Overviews. If users start preferring alternative search engines that offer more balanced results, Google might pull back.

Practical implementation checklist

Theory is nice, but you need action steps. Here’s a practical checklist for adapting your paid search strategy to AI Overviews:

Immediate actions you can take today:

1. Search for your top 20 keywords and note AI Overview presence
2. Review your ad copy: does it stand apart from generic information?
3. Check your Quality Scores for any recent declines that might be AI-related
4. Set up performance alerts for unusual CTR or CPC changes
5. Schedule a weekly review of AI Overview presence for your key terms

Medium-term strategies (1-3 months):

• Develop new landing pages optimised for post-AI Overview traffic
• Expand your keyword strategy to include more specific, long-tail terms
• Test different ad formats (responsive search ads, call-only ads) for AI-affected queries
• Build content that could be cited in AI Overviews to gain organic visibility
• Diversify traffic sources beyond paid search to reduce risk

Long-term preparations (3-12 months):

• Invest in Answer Engine Optimization to get cited in AI Overviews
• Develop value propositions that AI can’t replicate
• Build owned audiences through email and social to reduce paid search dependence
• Create proprietary tools, calculators, or resources that offer value beyond information
• Monitor regulatory developments and be ready to adjust if AI Overview policies change

Conclusion: future directions

AI Overviews are a shift in how search engines work and how users find information. They’re not going away, and wishing they would is about as productive as wishing for the return of print Yellow Pages.

The advertisers who will succeed are those who adapt quickly, test constantly, and treat AI Overviews not as an obstacle but as a new reality that needs new strategies. Your competitors are working this out right now. The question is whether you’ll adapt faster or slower than they will.

The data shows clear impacts: CTRs declining 18-25%, CPCs rising 8-15%, and overall campaign effectiveness suffering. But the data also shows that planned adjustments work. Advertisers who’ve changed their approach are holding or even improving their performance despite the tougher environment.

Looking ahead, AI Overviews will grow more common, more sophisticated, and more woven into the search experience. The SERP of 2027 will look nothing like the SERP of 2023. Your paid search strategy needs to evolve because of it.

Start small. Pick one campaign, apply some of the strategies here, and measure the results. Once you’ve proven what works for your business, scale it across your account. The worst thing you can do is nothing. Holding the status quo guarantees declining performance as AI Overviews become more common.

Remember that paid search is just one channel. The best defence against AI Overview impact is a diversified marketing strategy that doesn’t lean too heavily on any single traffic source. Build your brand, create remarkable content, develop owned audiences, and use paid search as one part of a broader strategy.

The future of paid search in an AI-dominated SERP isn’t about fighting the tide. It’s about learning to surf. The waves are here, they’re getting bigger, and you can either learn to ride them or get pulled under. Your choice.