The Short Answer: Google's AI Overviews now answer questions directly in search results, significantly reducing clicks to informational content since launch. Transactional searches like "hire accountant" and "plumber near me" still work because AI can't complete bookings or provide local services.
How AI Overviews Changed Search Behaviour in 2025
Google's AI Overviews fundamentally shifted how people search and consume information throughout 2025. Users now get direct answers in search results without clicking through to websites.
Working with UK businesses since AI Overviews launched, I've observed a consistent pattern across client analytics. Traffic to "how to" guides and comparison posts has dropped substantially regardless of their search rankings. When I audit client websites, the same story emerges every time - informational content that used to drive steady traffic is now getting fewer clicks.
AI Overviews represent a major challenge for basic informational content marketing. Google's generative AI answers generic questions before your content gets seen. I've watched clients spend months creating detailed comparison guides only to see them get less visibility as AI summaries answer the same questions faster.
For years, I've watched businesses build content strategies around broad informational searches. Generic "How to choose..." articles, basic comparison guides, and surface-level educational blog posts designed to capture readers in the research phase. What I tell every client now is that this traffic has fundamentally shifted - and the old approach isn't working.
From auditing content strategies since AI Overviews launched, I've seen that generative AI easily replicates:
- Generic definitions and explanations
- Basic "how-to" guides without specific context
- High-level comparisons without real-world application
- Surface-level educational content
- FAQ-style content that just repackages common knowledge
Your carefully crafted generic middle-funnel content - the stuff that used to drive traffic and nurture prospects - is getting less visibility. The clicks that fed your growth engine's "Find the Right People" stage are getting absorbed by AI Overviews before they reach your website.
Where Search Traffic Actually Went (And Why High-Intent Still Works)
Informational search traffic didn't vanish entirely - it shifted to different search types, and some users simply search less overall because they get immediate answers.
Transactional, high-intent search terms haven't collapsed. When someone searches "plumber near me" or "buy accounting software," AI Overviews can't complete that transaction. The intent is still there, and those clicks still convert at similar rates.
Working with clients across the UK, I've found that businesses who focus on commercial-intent keywords like "accountant for small business" or "Manchester search engine optimisation agency" still see strong conversion rates from organic search. In my experience helping dozens of businesses pivot their SEO strategy, clients who moved early to high-intent keywords saw their conversion rates improve even as overall traffic volumes decreased.
The search behaviour split matters for your growth engine. If you're still optimising for "what is project management software" instead of "project management software for construction companies," you're fighting yesterday's battle. I tell clients to audit their organic traffic by search intent in Google Analytics 4. Look at which keywords are still driving conversions versus which ones just drove traffic that never converted anyway.
High-intent searches work because they can't be satisfied by an AI summary. Someone looking to buy, hire, or contact needs to take action - and that action happens on your website, not in a search result. When I audit client accounts, businesses that pivot to high-commercial-intent keywords see better conversion rates even with lower traffic volumes.
Why Google Ads Costs Exploded: The Stampede Effect
As organic traffic from informational searches declined, businesses scrambled to replace lost traffic through paid ads. Everyone had the same idea simultaneously, creating a bidding war that's still driving costs up.
More advertisers bidding on the same keywords drives costs up through basic auction dynamics. Your cost per click isn't rising because Google got greedy - it's rising because every business that used to rely on organic middle-funnel content is now bidding against you.
Managing client Google Ads accounts across multiple sectors, I've witnessed this stampede firsthand. The rush to paid ads created ongoing bidding wars. Businesses that never needed paid search suddenly found themselves competing for clicks they used to get for free. From my experience managing dozens of client accounts since mid-2025, I've seen cost-per-click increases of 40-80% in previously stable sectors.
Many of these businesses are bidding on the same informational keywords that stopped working organically. They're paying for clicks that AI Overviews are making less valuable by the day. It's like buying tickets to a show that's already finished.
Google's push towards automation and broad match keywords inflates spend further. The platform's recommendations often push you towards broader targeting and automated bidding when precision is what most businesses actually need. In my experience conducting Google Ads audits, businesses who resist these automated recommendations and maintain tight keyword control see 30-50% better cost efficiency than those following Google's suggestions blindly.
What Your Website Analytics Reveal About the AI Impact
Google Analytics 4 data shows the AI Overview shift clearly - you just need to know where to look for the specific signals.
When I audit Google Analytics 4 accounts for clients, I check these specific indicators:
- Declining organic traffic from informational keywords - blog posts and guides getting fewer clicks despite stable rankings
- Shorter session durations - visitors spending less time on educational content before bouncing
- Rising cost per click on Google Ads - especially on broad, informational terms
- Conversion rate changes by traffic source - organic traffic converting differently than historical patterns
- Direct traffic increases - people who found you elsewhere coming directly to your site
The "Know What is Working" stage of your growth framework becomes critical here. You need to separate traffic that converts from traffic that just inflates your visitor count.
Most businesses I work with discover they were tracking vanity metrics. Page views from middle-funnel content felt good but didn't generate leads or sales. Now that the content traffic is decreasing, they can see what actually drives revenue. I've seen this pattern in every analytics audit I've conducted since AI Overviews launched: businesses focused on session counts while their actual conversion sources shifted entirely.
Clients who implement enhanced conversion tracking in Google Tag Manager see clearer insights into which channels actually drive revenue versus those still relying on basic session data. In my experience, tracking clarity becomes the foundation for making smart decisions about where to invest your marketing budget.
How to Rebuild Your Growth Engine for AI-First Search
Your growth engine needs strategic pivots to work in an AI-first world. Generic informational content is less effective, but upgraded content that demonstrates real expertise still generates traffic and citations.
Generic "How to choose..." articles don't work as well anymore. If you're still publishing surface-level guides that any AI could write, you're wasting resources on content that won't get clicks. Stop writing neutral overviews and start creating opinionated pieces based on your actual experience.
When I work with accounting firms, I tell them to stop writing "What is bookkeeping?" and start writing "Why most small businesses get bookkeeping wrong (and how we fix it)." Content like this is what AI Overviews can't replicate because it requires genuine expertise and a clear point of view.
My recommended approach for all clients is building content around real case studies and specific client results. Generic advice is less valuable now - people can get that from ChatGPT. What they can't get is your first-hand experience solving actual problems for real businesses. Those stories become citation-worthy because they're unique to you.
Content that works combines specific expertise with clear positioning. Instead of "project management tips," create "project management for construction companies dealing with weather delays." The more specific you get, the harder it becomes for AI to provide a generic answer.
But here's what most businesses miss - you need to optimise for being cited, not just clicked. If AI is answering questions by pulling from various sources, your goal is to become the authoritative source it references. Creating content that establishes you as the definitive expert in your niche becomes essential for getting AI citations.
I'm also pushing clients to diversify beyond search entirely. Email marketing, LinkedIn outreach, podcasts, and referral systems are delivering better return on investment than they did before because fewer businesses are executing them properly while everyone's focused on the search traffic crisis. Clients who implement a multi-channel approach see more stable lead generation than those still dependent on organic search alone.
How to Track AI Overview Impact in Google Analytics 4
Google Analytics 4 shows AI Overview impact through specific traffic pattern changes that most businesses miss in their standard reports.
The clearest signal is organic traffic decline from informational content while rankings stay stable. Set up custom segments in GA4 to separate informational from transactional keyword traffic. I show every client how to create these segments because standard GA4 reports don't reveal this split clearly enough.
Session duration drops on educational content indicate users are finding answers elsewhere before clicking through. Compare your average session duration on blog posts from 2024 versus 2025 - the decline usually correlates with when AI Overviews became prominent in your sector.
Bounce rate increases on previously engaging content suggest users aren't finding what they expected. This happens when AI Overviews provide partial answers, but users still click through expecting more depth than your content actually provides.
Frequently Asked Questions About AI Overview Impact
Is Organic Search Traffic Dead?
Organic search traffic isn't dead, but basic informational organic traffic is declining significantly. High-intent, transactional searches still work because AI Overviews can't complete purchases or bookings. Focus your search engine optimisation efforts on commercial keywords and upgraded informational content rather than generic educational material that AI can easily replicate.
How Do I Know if AI Overviews Are Killing My Content Performance?
Check your Google Analytics 4 data for declining organic traffic from blog posts and guides, even when rankings stay stable. Look for shorter session durations and lower conversion rates from organic traffic. If your educational content is getting fewer clicks despite good rankings, AI Overviews are probably absorbing those clicks before users reach your site.
Should I Increase My Google Ads Budget to Compete with Rising Costs?
Not automatically increasing your budget is the smart approach. Everyone else is doing this, which is why costs are rising across most sectors. Instead, audit which keywords actually convert and focus your spend there. Avoid bidding on informational terms that AI Overviews are making less valuable. Most businesses need better conversion tracking before they need bigger budgets.
About the Author
Nathan O'Connor is a Performance and Growth Specialist with 20 years of experience helping UK businesses with 5-50 staff build systematic growth engines. He specialises in performance marketing, conversion optimisation, and revenue tracking - helping business owners understand what's actually working and fix what isn't. His Flywheel framework connects traffic, conversion, tracking, and optimisation into a single growth system.