In the UK only 3 in 10 Google searches now lead to a click.
For brands, this is one of the clearest signs that search performance is becoming harder to judge through website traffic alone.
According to research, only 374 out of every 1,000 Google searches in Europe result in a click to the open web. In the US, the number is slightly lower, at around 360 clicks per 1,000 searches.
People haven't stopped searching. But answers, comparisons and decisions are happening before the user reaches a website. AI Overviews, featured snippets, maps, YouTube results, social media and AI assistants are all taking a larger share of the customer journey.
The practical issue for marketers is that visibility may be increasing, but measurable organic traffic declines.
What is a zero-click search?
A zero-click search is a query where the user gets the answer they need without clicking through to another website.
This can happen through:
- AI Overviews
- Featured snippets
- Knowledge panels
- People Also Ask boxes
- Google Maps
- Shopping results
- Video carousels
- Weather, calculator and conversion tools
- Direct answers from AI assistants such as ChatGPT, Gemini and Claude
For simple informational searches, the user often no longer needs to visit the source website. The answer is already visible on the results page.
The numbers behind the shift
The most quoted claim is that “80% of all searches are zero-click”. That figure appears in several industry discussions, but the methodology has been question and a true figure is difficult to arrive at. It all depends on whether the data includes Google search only, AI assistants, mobile behaviour, or all search journeys combined.
The direction is more important than the exact percentage and is confirmed by other studies:
- SparkToro and Datos found that only 374 out of every 1,000 Google searches in Europe result in a click to the open web. In the US, the equivalent figure is around 360 clicks per 1,000 searches.
- Ahrefs reported that AI Overviews can reduce click-through rates to the top organic result by 58%.
- Bain has reported that many consumers now rely on zero-click AI-generated search experiences for a significant share of their searches.
- Semrush research shows that AI Overviews appear most often for informational queries.
The visibility paradox
One of the most important effects is the visibility paradox.
A brand can see more impressions in search while receiving fewer website visits.
For example, a business might see a 106% increase in search visibility or impressions, while organic traffic falls by 20%. This can happen when content is surfaced in AI Overviews, snippets, answer boxes or other SERP features, but users don't find the need to click through.
In that scenario, the brand has not necessarily lost relevance. It may still be influencing the user’s decision. The problem is that the influence is happening off-site and is harder to measure.
This matters for reporting. Organic traffic alone no longer tells the full story of search performance.
Marketing teams need to look at visibility, citations, branded search, direct traffic, assisted conversions and pipeline quality alongside traffic volume.
Why traffic is falling
AI Overviews are a major factor, but they are only part of the story.
Google is keeping more journeys inside Google
Google now answers many queries directly through its own products and modules.
Users can compare products, check opening hours, watch videos, read reviews, find directions, browse flights, compare hotels and view shopping results without leaving Google.
This is especially visible in local search, travel, retail, hospitality and consumer services.
AI Overviews reduce the need to click
AI Overviews summarise information from several sources and present the answer above the traditional organic results.
For informational queries, that summary often satisfies the user’s need. Even when a website is cited, the citation may not produce meaningful traffic.
This creates “citation without clicks”. The brand may be visible, but the visit never happens.
Reddit, forums and user-generated content are taking more space
Google has also given more visibility to community-led content in many search results.
Reddit, specialist forums and review communities now appear frequently for recommendation, comparison and troubleshooting searches.
This reflects how users behave. They often want real experience, peer opinion and unfiltered discussion before making a decision.
Search behaviour is moving to other platforms
Search no longer happens only on Google.
People use TikTok for discovery, Pinterest and Instagram for inspiration, YouTube for education, Amazon for product search, Reddit for validation, LinkedIn for professional insight and AI assistants for research and synthesis.
A fall in Google organic traffic does not always mean demand has fallen. It can mean that demand is being expressed somewhere else.
Which content is most affected?
Informational content is the most exposed.
Queries such as “what is”, “how to”, “why does” and “best way to” are easy for AI systems and search features to summarise.
Examples we have seen with our own clients include:
- What are specialist mortgage lenders?
- What is the difference between fixed and tracker mortgages?
- Best mortgage options for self-employed applicants
- How much does it cost to run an electric sports car?
- What is the best track car in 2026?
- Best bean-to-cup coffee machine for small kitchens
- What is the quietest kettle on the market?
- Which air fryer is cheapest to run?
These searches can still create awareness. They can still influence consideration. They are unlikely to drive direct, organic traffic.
Commercial and transactional searches are more resilient.
Users still click when they need to book appointments, log-in to their accounts, use calculators and other tools, or make a purchase.
This is why high-intent content is becoming more important. The traffic that does click through is often more qualified because the user has already consumed a summary and is looking for detail, proof or action.
Quality over quantity
The decline in traffic volume does not automatically mean a decline in commercial value.
Some low-intent visits are being filtered out by AI summaries and SERP features. Users who still click through are often looking for something deeper.
They may want:
- A detailed explanation
- A case study
- Pricing information
- A product comparison
- A service page
- A calculator or tool
- A consultation or quote
This means marketing teams should pay closer attention to engagement quality, conversion rate, assisted revenue and lead quality, rather than treating all organic traffic loss as equal.
What this means for SEO and AEO
SEO still matters, but the job has changed.
Brands now need to optimise for ranking, extraction, citation and trust.
This is where Answer Engine Optimisation, or AEO, becomes relevant. The aim is to make content easy for AI systems and search engines to understand, summarise and cite.
Build entity authority
Search engines and AI systems need to understand who you are, what you are known for and why your content should be trusted.
This means building authority around clear topics, not just chasing individual keywords.
For brands, entity authority is shaped by consistent signals across the website, digital PR, expert authorship, structured data, social presence, reviews, third-party mentions and original content.
Structure content for extraction
Content that is clear, structured and specific is easier for AI systems to use.
Good practice includes:
- Clear headings
- Short paragraphs
- Direct answers to common questions
- Useful bullet points
- Schema markup where relevant
- Consistent terminology
- Evidence, examples and source references
For answer-led sections, a 40-60 word paragraph is often enough to provide a clear answer before adding more depth underneath.
Use conversational and question-led language
Voice search and AI-assisted search both favour natural language.
People search with full questions, not just keywords. Content should reflect that, especially in FAQs, guides, glossary pages and advisory content.
This does not mean writing thin FAQ pages. It means matching the way people ask questions while still providing useful depth.
Focus click-driving content on high-intent queries
Some queries will always be difficult for AI to satisfy fully.
These include searches where users need:
- Commercial comparison
- Expert judgement
- Product detail
- Service reassurance
- Proof of results
- Pricing context
- Decision support
This is where brands should protect and improve their click-driving content.
Strong examples include comparison pages, buyer guides, case studies, product selectors, calculators, service landing pages and sector-specific content.
What marketers should report differently
The old SEO reporting model is too narrow for this environment.
Organic sessions and rankings should still be monitored, but they need more context.
Useful additional measures include:
- Search impressions
- Click-through rate by query type
- AI Overview appearances
- Featured snippet ownership
- Brand mentions in AI answers
- Branded search demand
- Direct traffic trends
- Engaged sessions
- Lead quality
- Assisted conversions
- Pipeline and revenue contribution
The goal is to understand where search is still creating value, even when the click is delayed, reduced or missing.
Final thoughts
Zero-click search is changing how organic performance should be interpreted.
Falling traffic does not always mean falling visibility. Rising impressions do not always mean rising opportunity. Ranking well does not always mean users will visit the website.
The brands that adapt well will be those that understand how search influence works across Google, AI assistants, social platforms, communities and owned channels.
That means building authority, structuring content properly, strengthening high-intent pages and measuring the quality of search-driven demand more carefully.
At Rika, this is where technical SEO, AEO, content strategy, analytics and customer experience need to work together. Search is still a growth channel, but it now needs to be managed as part of a wider discoverability system.
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