Zero-Click Search Statistics by Industry

Search behavior is undergoing one of the most significant transformations since the introduction of Google’s Knowledge Graph. 

Traditionally, search engines acted as gateways that directed users to external websites. 

Today, AI-powered search features such as:

• Google AI Overviews
• AI Mode
• Featured Snippets
• Knowledge Panels
• People Also Ask boxes
• Local Packs, and direct-answer widgets 

These formats increasingly satisfy user intent directly on the search results page. 

As a result, a growing share of searches now end without a click to any external website.

According to SparkToro’s 2026 analysis based on Similarweb clickstream data, 68.01% of Google searches in the United States ended without a click between January and April 2026, up from 60.45% in 2024. 

Over the same period, the share of searches generating at least one click declined by 22.9%, highlighting the growing impact of AI-generated answers and on-SERP experiences. 

AI Overviews now appear on more than 20% of Google searches, and when they do, click-through rates decline by nearly 60%. 

The impact of zero-click search is not evenly distributed across industries. Informational sectors such as healthcare, finance, technology, and education are experiencing some of the highest levels of AI Overview visibility and the steepest click-through-rate declines. 

In contrast, transactional industries such as e-commerce and local services remain more resilient because users need to complete purchases, bookings, or other actions on external websites. Industries heavily dependent on search-driven discovery, including travel, job boards, legal directories, and coupon platforms, face particularly significant challenges as AI systems increasingly mediate the relationship between users and content providers.

For marketers, publishers, SEO professionals, business owners, and digital strategists, understanding industry-specific zero-click search trends has become essential. These statistics reveal where AI-generated search experiences are expanding fastest, which industries are losing the most traffic, and where opportunities still exist to attract high-intent visitors. The following 100 statistics provide a detailed look at how zero-click search is reshaping industries in 2025 and 2026, helping organizations better understand the evolving search landscape and adapt their digital strategies accordingly.

Healthcare Zero-Click Search Statistics

1. 48% of health-related Google searches triggered an AI Overview in the United States.

Nearly one out of every two health-related searches now generates an AI Overview before users reach traditional organic results. This makes healthcare the most AI-affected major industry measured by Conductor’s analysis of 21.9 million Google searches. The statistic highlights Google’s increasing confidence in providing direct medical information through AI-generated summaries. For healthcare publishers, hospitals, and medical content providers, this means a growing share of searchers may receive answers without visiting a website. As AI Overview penetration approaches 50%, competition is shifting from ranking in organic search results to becoming a source cited by Google’s AI systems.

2. 47% of healthcare searches displayed AI Overviews.

Independent industry research produced a nearly identical figure, reinforcing the finding that healthcare has become Google’s most AI-intensive search category. The consistency between separate studies suggests the trend is structural rather than temporary. Healthcare queries involve symptoms, treatments, conditions, medications, and wellness information that can be summarized effectively by AI systems. As a result, health publishers face more exposure to zero-click behavior than most other industries. The figure also indicates that healthcare organizations need visibility strategies designed specifically for AI-powered search environments.

3. Healthcare websites experienced a 34% click-through-rate decline when AI Overviews appeared.

Among the industries analyzed, healthcare recorded the steepest CTR decline associated with AI Overview visibility. A reduction of this magnitude means that roughly one-third of potential clicks disappear when an AI-generated answer is present. Users increasingly obtain enough information from the summary to avoid visiting the original source. This trend creates significant monetization challenges for medical publishers that depend on advertising, subscriptions, or lead generation. The statistic demonstrates that visibility alone is no longer sufficient if AI-generated answers satisfy user intent before a click occurs.

4. Health information websites achieved a median AI visibility score of 69.0.

Despite losing clicks, healthcare websites are highly visible to AI systems. A visibility score of 69.0 places the industry among the strongest performers in AI citation studies. This suggests that healthcare organizations generally provide content that AI models consider authoritative, trustworthy, and easy to reference. The challenge is therefore less about maintaining visibility and more about converting that visibility into measurable business outcomes. Healthcare brands increasingly need to track citations and mentions in AI-generated responses rather than relying solely on website traffic metrics.

5. Health information websites recorded a median authority score of 52.0.

Authority is one of the most important signals determining whether AI systems trust a source. Healthcare sites typically benefit from expert authorship, medical review processes, and higher brand recognition, all of which contribute to higher authority scores. Because health information can directly affect user wellbeing, Google’s systems place greater emphasis on credibility in this category than in many others. The score indicates that health publishers generally meet the standards necessary for AI citation. However, maintaining authority is becoming increasingly important as competition for AI visibility grows.

6. Health information websites achieved a median extractability score of 80.0.

Extractability measures how easily AI systems can access, understand, and reuse website content. An extractability score of 80.0 is among the highest reported across industries, indicating that healthcare information is well-structured and machine-readable. This improves the likelihood of being included in AI-generated summaries. However, the same characteristic that increases visibility also makes it easier for AI systems to answer questions without sending traffic to publishers. The statistic highlights the double-edged nature of optimization in the AI search era.

7. Health information websites experienced a 15% AI-access failure rate.

Only 15% of healthcare websites studied encountered access issues that prevented AI systems from reliably using their content. Compared with industries such as travel, legal directories, and job boards, healthcare performs relatively well in technical accessibility. This means most medical content is available for crawling, extraction, and citation by AI systems. Organizations with strong technical accessibility are more likely to appear in AI-generated answers. The finding also suggests that healthcare’s primary challenge is traffic displacement rather than discoverability.

8. Health information websites were classified as a low-risk industry for AI visibility loss.

Healthcare sites are comparatively resilient when measured by AI visibility rather than traffic. The low-risk classification reflects strong authority, high extractability, and relatively low access barriers. While the industry faces substantial click losses, it continues to be heavily represented in AI-generated search experiences. This distinction is important because losing traffic and losing visibility are not the same problem. Healthcare organizations are visible but increasingly need new ways to capture value from that visibility.

9. Healthcare recorded the highest AI Overview visibility among all measured industries.

No other industry matched healthcare’s level of AI Overview penetration. The category has effectively become Google’s largest testing ground for AI-generated answers. This reflects the enormous volume of health-related informational searches performed every day. Because many healthcare queries involve explanations rather than transactions, they are particularly well suited to AI summarization. The statistic positions healthcare as an early indicator of how AI may affect other information-heavy industries in the future.

10. Healthcare was the only major industry approaching 50% AI Overview penetration.

Crossing the 50% threshold would mean that AI-generated answers appear in the majority of searches within the category. Healthcare is already closer to that point than any other major industry measured. The trend demonstrates how quickly search behavior is evolving in sectors dominated by informational content. Publishers operating in healthcare are therefore facing some of the earliest and most significant effects of the transition toward AI-assisted search. The industry may provide a preview of what other sectors could experience over the next several years.

11. 38% of finance-related searches displayed AI Overviews.

Finance was the second most AI-affected industry in the studies reviewed. More than one-third of financial searches now generate AI-created summaries that appear above traditional organic listings. Many of these searches involve concepts, calculations, comparisons, or definitions that AI systems can explain efficiently. As AI Overview visibility expands, financial publishers face increasing competition from Google’s own answer-generation capabilities. The statistic demonstrates how rapidly AI is becoming embedded in financial information discovery.

12. Finance ranked second only to healthcare in AI Overview visibility.

The gap between healthcare and finance is relatively small compared with most other industries. This indicates that Google sees financial information as another category where AI-generated answers can effectively satisfy user intent. Financial education, investing concepts, loan information, and budgeting advice are particularly susceptible to summarization. For financial brands, maintaining authority and trust becomes increasingly important as users interact with AI-generated answers before visiting external websites. The trend reinforces the growing importance of citation visibility in financial search marketing.

13. Personal finance comparison websites achieved a median AI visibility score of 67.0.

A score of 67.0 places finance among the stronger industries for AI discoverability. Financial comparison websites provide structured data, tables, rates, and side-by-side evaluations that AI systems can easily interpret. This improves their chances of appearing as sources within AI-generated responses. Strong visibility, however, does not guarantee strong traffic performance. Many users may consume financial information directly from AI summaries without continuing to the originating website.

14. Personal finance comparison websites recorded a median authority score of 52.0.

Authority plays a particularly important role in finance because inaccurate information can have serious consequences for users. The score suggests that many financial publishers have built sufficient credibility to stay visible within AI-driven search environments. Factors such as expert contributors, transparent methodologies, and trusted brand reputations contribute to authority assessments. AI systems are likely to continue prioritizing sources with strong trust signals. This makes authority a competitive differentiator in finance-related search.

15. Personal finance comparison websites achieved a median extractability score of 78.0.

Financial comparison content is presented in highly structured formats that AI systems can easily parse. Tables, rate comparisons, product features, and eligibility criteria all lend themselves well to automated extraction. As a result, financial content frequently becomes source material for AI-generated answers. While this improves citation potential, it can also reduce direct website visits. The statistic illustrates the growing tradeoff between visibility and traffic in the finance sector.

16. Personal finance comparison websites recorded only a 5% AI-access failure rate.

A low access-failure rate indicates that most financial comparison websites are technically accessible to AI systems. Compared with sectors that rely heavily on login walls, dynamic content, or restrictive access controls, finance publishers generally maintain strong crawlability. This technical accessibility supports citation opportunities and AI visibility. It also means that financial content is more likely to be incorporated into AI-generated answers. Accessibility therefore remains an important component of AI search optimization.

17. Personal finance comparison websites were classified as a low-risk industry.

The low-risk designation reflects strong visibility, authority, and technical accessibility. Finance sites appear relatively well positioned to remain discoverable in AI-powered search environments. However, low visibility risk does not eliminate the possibility of traffic declines. Financial publishers may still experience reduced click volumes as AI-generated answers satisfy informational intent directly within search results. The classification therefore reflects discoverability rather than business performance.

18. Financial transactional searches triggered AI Overviews only 15% of the time.

Google appears more cautious when users demonstrate strong transactional intent. Searches involving applications, account openings, financial products, or investment actions still frequently direct users toward external websites. This creates a degree of protection for businesses that operate at the bottom of the marketing funnel. The statistic illustrates an important distinction between informational and transactional search behavior. While informational finance content faces growing AI competition, transactional finance is more resilient.

19. Finance-related searches were among the most cited categories in AI-generated responses.

AI systems frequently rely on financial sources when answering user questions. This reflects both the popularity of finance-related searches and the abundance of authoritative content available online. Citation frequency can help maintain brand awareness even when direct traffic declines. Financial brands that consistently appear in AI responses may gain visibility advantages over competitors that are absent. The metric highlights the importance of measuring AI presence in addition to traditional rankings.

20. Finance trails healthcare by roughly 10 percentage points in AI Overview visibility.

Although healthcare is the leader, finance is not far behind. The relatively narrow gap suggests that both industries are experiencing similar patterns of AI adoption within search results. Financial content is increasingly becoming part of Google’s answer-generation ecosystem. As AI capabilities continue improving, the visibility difference between the two industries could narrow further. The statistic underscores the broad reach of AI-powered search beyond healthcare alone.

Technology Zero-Click Search Statistics

21. 35% of technology-related searches displayed AI Overviews.

Technology is one of the industries most heavily affected by Google’s AI-generated answers. More than one-third of technology queries now produce AI Overviews before users see traditional search listings. This is largely because technical topics involve explanations, definitions, troubleshooting advice, and comparisons that AI systems can summarize effectively. As a result, technology publishers face increasing competition from Google’s own answer layer. The statistic demonstrates how AI is changing information discovery across software, hardware, and consumer electronics sectors.

22. Computers & Electronics recorded 17.92% AI Overview visibility.

Semrush identified Computers & Electronics as one of the industries with the highest concentration of AI Overviews. The category ranked second among all sectors analyzed in the study. This visibility reflects Google’s confidence in generating summaries for product specifications, technical concepts, and device-related questions. Businesses operating in this space increasingly need to optimize for citation visibility rather than relying exclusively on traditional rankings. The finding highlights the growing importance of AI search optimization within technology markets.

23. Technology websites experienced a 26% CTR decline when AI Overviews appeared.

A decline of more than one-quarter represents a significant loss of organic traffic potential. Users frequently obtain answers to technical questions directly from AI-generated summaries instead of visiting websites. This trend affects software vendors, technology blogs, review sites, and consumer electronics publishers alike. While visibility may stay high, the ability to convert impressions into visits becomes more challenging. The statistic illustrates the growing disconnect between visibility and traffic in AI-powered search environments.

24. Technology ranked among the top three industries for AI Overview exposure.

Only healthcare and finance reported comparable levels of AI Overview penetration. This position reflects the abundance of structured, informational content available in the technology sector. Technical explanations are generally easier for AI systems to summarize than highly subjective or transaction-focused topics. As Google’s AI capabilities improve, technology publishers may continue to experience expanding AI visibility. The statistic reinforces the sector’s status as one of the primary battlegrounds for AI-driven search.

25. Technology searches were among the fastest-growing AI Overview categories.

Google has steadily expanded AI-generated answers into software, electronics, coding, and troubleshooting topics. Many of these queries historically generated substantial traffic for publishers and software vendors. As AI Overviews become more common, users increasingly interact with summaries before deciding whether to visit a website. This changes the economics of content marketing in technology industries. The trend suggests AI adoption is accelerating rather than slowing.

26. Informational technology queries fall within a search category showing a 74% zero-click rate.

Many technology searches begin with informational intent, such as learning how a product works or understanding a technical concept. Informational searches recorded one of the highest zero-click rates measured across all query types. This means that most users receive sufficient information without visiting an external website. Technology publishers are therefore particularly vulnerable to AI-generated answers and SERP features. The statistic highlights why informational content strategies require reevaluation in the AI era.

27. Definition-style technology searches belong to a category showing an 86% zero-click rate.

Technical definitions are among the easiest search intents for AI systems to satisfy. Users searching for concepts such as APIs, machine learning, cloud computing, or cybersecurity terms receive complete answers directly in search results. This significantly reduces the need to click through to explanatory articles. Technology publishers that depend on glossary-style content face increasing pressure from AI-generated summaries. The finding demonstrates how AI affects top-of-funnel educational content.

28. Factual technology lookups belong to a category showing a 91% zero-click rate.

Simple technical facts rarely require a website visit today. Searches involving release dates, specifications, standards, measurements, and basic technical information are increasingly answered directly on the results page. AI Overviews further strengthen this trend by synthesizing information from multiple sources. The result is an environment where website traffic becomes concentrated around more complex searches. This statistic represents one of the highest zero-click rates observed in search behavior research.

29. Research-oriented technology searches recorded a 38% zero-click rate.

Compared with simple factual queries, deeper research searches are more resilient. Users evaluating software platforms, researching technologies, or comparing enterprise solutions need more context than AI summaries provide. As a result, these searches continue generating meaningful traffic opportunities. The statistic suggests that long-form analysis and expert insights are valuable in technology publishing. Not all technology content is equally vulnerable to AI-driven search disruption.

30. Technology brands increasingly compete for AI citations rather than clicks.

Although not measured as a percentage, this trend is reflected across multiple datasets. AI systems frequently cite authoritative technology sources while simultaneously reducing click-through rates. Visibility is possible, but traffic acquisition becomes harder. This creates a new optimization challenge centered around citation frequency, authority signals, and brand recognition. Technology companies must increasingly measure influence beyond traditional website visits.

Education & How-To Zero-Click Search Statistics

31. 42% of education and how-to searches displayed AI Overviews.

Educational content has become one of the most AI-affected categories in Google Search. Nearly half of all educational and instructional searches now generate AI summaries before organic results appear. These searches involve questions that AI systems can answer clearly and concisely. The result is reduced reliance on external educational resources. This statistic highlights why educational publishers are among the industries most affected by AI-powered search.

32. Education websites experienced a 31% CTR decline when AI Overviews appeared.

Losing nearly one-third of potential clicks represents a major challenge for educational publishers. AI-generated summaries increasingly provide enough information to satisfy users without requiring additional research. This is especially true for introductory and beginner-level content. As a result, many educational websites are seeing declining traffic despite maintaining strong rankings. The statistic demonstrates the disruptive effect of AI-generated answers on knowledge-based industries.

33. Informational searches recorded a 74% zero-click rate.

Educational content is heavily concentrated around informational intent. Most educational articles are designed to answer questions, explain concepts, or teach skills. Because these are precisely the types of queries AI systems handle well, educational websites face unusually high exposure to zero-click behavior. The statistic illustrates the vulnerability of information-first content models. Publishers increasingly need strategies beyond simple traffic acquisition.

34. Definition queries recorded an 86% zero-click rate.

Definitions are among the easiest query types for AI systems to answer directly. Educational websites that focus heavily on glossary content face growing challenges as users obtain explanations without clicking. Many traditional SEO strategies relied on ranking for definition-based searches. AI-generated answers now reduce the value of those positions. The statistic highlights a major shift in educational content performance.

35. Factual lookup searches recorded a 91% zero-click rate.

This is one of the highest zero-click rates measured across all query categories. Searches involving dates, statistics, formulas, and straightforward facts rarely require website visits. Educational publishers depend on such searches for traffic generation. AI-generated answers now capture much of that user demand directly within search results. The finding underscores the increasing efficiency of answer engines.

36. Simple how-to searches recorded a 72% zero-click rate.

Many educational websites produce instructional content targeting simple tasks and procedures. However, AI-generated summaries increasingly provide enough guidance for users to complete these tasks without visiting the original source. This creates significant pressure on tutorial-focused publishers. 

37. Complex how-to searches recorded a 53% zero-click rate.

More advanced educational content remains relatively protected compared with simpler topics. Users require detailed explanations, screenshots, examples, or additional context that AI summaries cannot fully provide. As a result, complex educational content continues generating substantial traffic. This statistic suggests depth and specialization can improve resilience. Educational publishers may increasingly focus on advanced content strategies.

38. Comparison searches recorded a 48% zero-click rate.

Comparison content performs better than many informational formats because users want detailed evaluations before making decisions. AI summaries can provide overviews, but many users still seek deeper analysis. Educational publishers producing comparison-based content therefore retain stronger click potential. The statistic highlights an area of relative opportunity. Not all educational content is equally affected by zero-click behavior.

39. Research-oriented educational searches recorded a 38% zero-click rate.

Users conducting serious research require primary sources, detailed analysis, and multiple viewpoints. These needs cannot always be satisfied by AI-generated summaries. Consequently, research-focused content continues to generate meaningful website traffic. Educational publishers serving advanced audiences may therefore experience lower disruption. The statistic demonstrates the importance of content depth.

40. Educational content is among the most vulnerable categories to AI-generated answers.

The combination of high AI Overview visibility, substantial CTR declines, and elevated zero-click rates places education among the most affected industries. Much of its content consists of explanations and instructional material that AI systems can summarize efficiently. This creates significant challenges for traffic-dependent business models. Educational organizations increasingly need strategies focused on authority, community, tools, and unique expertise. The sector serves as an example of how AI can reshape information-heavy industries.

Travel Zero-Click Search Statistics

41. 29% of travel-related searches displayed AI Overviews.

Travel has become one of the industries most affected by AI-generated search experiences. Nearly three out of every ten travel searches now produce an AI Overview before users reach traditional organic listings. Many travel queries involve destination research, itinerary planning, and travel advice, all of which are highly suitable for AI summarization. As Google expands AI-powered search features, travel publishers face increasing competition for visibility and clicks. The statistic demonstrates how travel discovery is gradually shifting from website-based research to AI-assisted planning.

42. Travel booking websites recorded a 33.3% AI-access failure rate.

One-third of travel websites analyzed experienced technical issues that prevented AI systems from reliably accessing their content. This was among the highest access-failure rates reported across all industries studied. Accessibility problems reduce the likelihood that travel brands will be cited or referenced in AI-generated answers. In an environment where visibility increasingly depends on AI discoverability, technical barriers become a significant competitive disadvantage. The statistic highlights the growing importance of AI-friendly website infrastructure.

43. Travel booking websites achieved a median AI visibility score of 45.5.

This was the lowest AI visibility score recorded among the industries included in the audit study. A score below 50 suggests that many travel websites struggle to establish consistent presence within AI-powered search environments. Lower visibility reduces opportunities for citations, mentions, and brand exposure. As AI becomes more influential in travel planning, visibility challenges may translate directly into reduced discovery. The statistic illustrates the industry’s difficult position in the transition toward AI-assisted search.

44. Travel booking websites recorded a median authority score of 31.0.

Authority scores in travel were significantly lower than those observed in healthcare, finance, and affiliate review industries. Lower authority makes it more difficult for AI systems to trust and prioritize travel content. Many travel websites rely heavily on commercial intent and affiliate monetization, which may influence perceived credibility. Stronger authority signals will likely become increasingly important for securing AI citations. The statistic indicates that trust is becoming a competitive differentiator in travel search.

45. Travel booking websites achieved a median extractability score of 52.0.

Extractability measures how easily AI systems can understand and reuse website content. Travel websites scored considerably lower than most informational industries, suggesting that content structure creates challenges for AI interpretation. Complex layouts, booking systems, and dynamic content can reduce machine readability. Poor extractability limits opportunities for inclusion in AI-generated responses. The statistic highlights a major technical hurdle facing travel brands.

46. Travel was ranked as the most at-risk industry for AI search disruption.

Among all industries studied, travel received the highest overall risk classification. This reflects a combination of low AI visibility, high access-failure rates, and business models heavily dependent on search-driven discovery. Travel brands face pressure not only from AI-generated answers but also from Google’s own travel products. The industry’s reliance on informational content makes it especially vulnerable to zero-click behavior. The ranking suggests that travel may experience some of the largest long-term changes from AI search adoption.

47. Travel booking websites were classified as a high-risk industry.

The high-risk classification indicates that travel websites face significant challenges maintaining visibility and traffic in AI-driven search environments. Unlike some industries that retain strong citation opportunities, travel struggles across multiple dimensions simultaneously. The classification reflects structural rather than temporary concerns. Businesses operating in travel may need substantial adjustments to their search strategies. The statistic reinforces the urgency of AI optimization efforts within the sector.

48. Travel was one of only four industries classified in the highest-risk category.

Travel joined job boards, legal directories, and coupon websites in the top risk group. This places it among the industries most vulnerable to AI-driven changes in search behavior. Shared characteristics include heavy dependence on search traffic and content that can be summarized efficiently. These industries also tend to face stronger competition from Google’s native search features. The statistic shows that travel is not facing these challenges in isolation.

49. Travel websites showed the lowest overall AI visibility among the 10 industries studied.

No other industry recorded a lower visibility score in the audit analysis. This suggests that travel content is less likely to appear consistently in AI-generated responses. Lower visibility reduces opportunities for brand exposure and user discovery. As AI-generated search results become more common, visibility deficits may have increasingly serious business implications. The statistic highlights the urgency of improving AI readiness in travel.

50. Travel was the only industry to score below 50 in median AI visibility.

Crossing below the 50-point threshold separates travel from every other industry analyzed. The result suggests that travel websites face unique challenges in adapting to AI-driven search ecosystems. Lower scores indicate weaker performance across authority, extractability, accessibility, and overall discoverability metrics. As AI search adoption grows, this gap may become increasingly consequential. The statistic positions travel as one of the clearest examples of AI-related search disruption.

E-Commerce Zero-Click Search Statistics

51. Only 14% of e-commerce searches triggered AI Overviews.

Compared with healthcare, finance, and education, e-commerce is relatively insulated from AI Overview expansion. Google appears more cautious when users demonstrate clear purchase intent. Most e-commerce searches still direct users toward products, merchants, and shopping experiences rather than AI-generated answers. This creates a level of protection for online retailers. The statistic suggests that commercial intent is one of the strongest defenses against zero-click behavior.

52. E-commerce experienced an average CTR decline of only 8% when AI Overviews appeared.

An 8% decline is significantly lower than the 26% to 34% reductions observed in technology and healthcare. Users researching products require additional details before making purchasing decisions. This encourages continued interaction with merchant websites. Although AI Overviews affect visibility, they have not yet dramatically reduced e-commerce traffic. The statistic highlights the resilience of transaction-oriented industries.

53. AI Overviews appeared for only 3.2%–4.0% of e-commerce queries.

Multiple studies found very limited AI Overview penetration in shopping-related searches. Google appears reluctant to replace commercial results with AI-generated summaries. Product discovery is closely tied to merchant listings, reviews, and shopping features. This helps preserve opportunities for retailers and e-commerce brands. The statistic demonstrates a clear distinction between informational and transactional search categories.

54. Transactional searches recorded a 31% zero-click rate.

Among all major query types, transactional searches generated some of the lowest zero-click rates. Users searching with purchase intent typically need to visit a website to complete a transaction. This creates natural protection against answer-engine disruption. E-commerce businesses benefit from this behavioral pattern. The statistic explains why online retail is more resilient than informational publishing.

55. Product-specific searches recorded a 32% zero-click rate.

When users search for specific products, they generally want pricing, availability, specifications, or purchasing options. These actions usually require website visits. As a result, product-focused queries continue to generate meaningful traffic. The statistic suggests that precise commercial intent remains difficult for AI systems to replace completely. E-commerce marketers can leverage this behavior by targeting high-intent keywords.

56. Product-category searches recorded a 41% zero-click rate.

Category-level searches produce slightly higher zero-click rates because users are still in the research phase. AI-generated summaries can help users narrow options before visiting websites. However, traffic remains significantly higher than in purely informational categories. Retailers targeting category searches still maintain substantial opportunities for engagement. The statistic highlights varying levels of resilience within e-commerce search behavior.

57. “Buy” keyword searches recorded a 28% zero-click rate.

This was one of the lowest zero-click rates reported across all query categories. Users expressing explicit purchase intent almost always need a destination where the transaction can occur. AI-generated answers have limited ability to replace this behavior. The statistic demonstrates why bottom-of-funnel searches remain valuable despite broader shifts in search behavior. Purchase intent continues to drive clicks.

58. Service-provider searches recorded a 37% zero-click rate.

Users looking for service providers need detailed information, contact details, reviews, or booking options. These requirements encourage website visits even when AI-generated summaries are available. Service-oriented businesses therefore retain higher click potential than many informational publishers. The statistic illustrates how commercial intent influences user behavior. Services remain relatively resistant to complete answer-engine replacement.

59. Pricing and quote-related searches recorded a 43% zero-click rate.

Users need customized information before making decisions. While AI-generated answers can explain pricing concepts, they cannot easily provide personalized quotes or current rates. This limitation helps preserve traffic opportunities for businesses offering products and services. The statistic demonstrates that commercial complexity creates resilience against zero-click behavior. Dynamic information remains valuable.

60. Commercial investigation searches recorded a 46% zero-click rate.

Searches involving reviews, comparisons, and evaluations performed significantly better than informational searches. Users want detailed insights before committing to a purchase. AI summaries can assist decision-making but rarely eliminate the need for further research entirely. This creates opportunities for businesses producing high-quality comparison content. The statistic highlights one of the strongest remaining content categories in search.

Local Services Zero-Click Search Statistics

61. Only 11% of local-service searches triggered AI Overviews.

Local services is one of the least affected industries when measured by AI Overview penetration. Google continues to prioritize Maps, Business Profiles, reviews, and Local Pack results instead of AI-generated summaries for many local-intent searches. Users searching for nearby businesses need contact information, operating hours, or directions rather than informational answers. This behavior limits the usefulness of AI-generated responses in many local scenarios. The statistic shows that local businesses currently enjoy a degree of protection from AI-driven search disruption.

62. Local-service websites experienced an average CTR decline of only 5% when AI Overviews appeared.

A 5% decline is among the smallest impacts recorded across all industries. Local searchers frequently have immediate action-oriented intent, such as calling a business or requesting directions. Because these actions require engagement with local listings, AI-generated summaries have less influence on user behavior. The statistic demonstrates how proximity-based search differs from informational search. Local businesses are relatively resilient despite broader AI adoption.

63. Local searches recorded a 72% zero-click rate.

Although local businesses are relatively protected from AI Overviews, they experience high levels of zero-click behavior for a different reason. Users find phone numbers, addresses, reviews, and directions directly in Google search results without visiting a website. This means many conversions occur without generating website traffic. The statistic highlights why traffic alone is an incomplete performance metric for local businesses. Visibility within Google’s ecosystem is frequently more important than website visits.

64. Local searches recorded a 68.7% zero-click rate in another major study.

Different datasets produced similar results, reinforcing the reliability of the finding. While methodologies vary, both studies indicate that roughly seven out of ten local searches end without a website click. Users complete their desired action directly from search results. The consistency across studies suggests that local zero-click behavior is structural rather than temporary. This trend predates AI Overviews and continues today.

65. Local directories experienced a 5.3% AI-access failure rate.

Compared with industries such as travel and legal directories, local directories are highly accessible to AI systems. Low failure rates improve opportunities for AI citation and visibility. Technical accessibility helps ensure that local business information can be discovered and reused by search platforms. This statistic highlights the importance of maintaining crawlable and machine-readable business data. Accessibility increasingly influences AI visibility outcomes.

66. Local directories achieved a median AI visibility score of 64.0.

A score of 64.0 places local directories in the middle of the industries analyzed. While not among the best performers, they are reasonably visible within AI-powered search environments. Consistent visibility helps support brand awareness even when website traffic is limited. The statistic suggests that local businesses maintain meaningful opportunities for AI discovery. Visibility is a competitive advantage in local search ecosystems.

67. Local directories recorded a median authority score of 38.0.

Authority scores in local directories were lower than those observed in healthcare, finance, and affiliate review sectors. This may reflect the large number of user-generated listings and business profiles within directory platforms. Lower authority can reduce the likelihood of AI citation. However, high local relevance compensates for weaker authority metrics. The statistic demonstrates the balance between trust and proximity in local search.

68. Local directories achieved a median extractability score of 74.0.

Directory content is typically structured in ways that AI systems can understand easily. Business names, addresses, reviews, categories, and contact information are highly standardized. This makes local directory content valuable for AI-powered search experiences. High extractability supports visibility and citation opportunities. The statistic reflects the importance of structured data in local SEO.

69. Local directories were classified as a medium-risk industry.

The industry avoids the highest-risk category because of greater accessibility and moderate visibility scores. However, dependence on Google-controlled local search features still creates strategic risks. Businesses rely on platforms they do not control. The statistic highlights the industry’s mixed position in the AI era. Local search is relatively stable but not immune to future disruption.

70. Local searches produced substantially higher zero-click rates than commercial investigation searches (72% vs. 46%).

This comparison illustrates how search intent influences user behavior. Commercial investigation searches require deeper research, while local searches frequently provide all necessary information directly on the search results page. Users seeking a nearby restaurant, dentist, or plumber can act without visiting a website. The statistic demonstrates why local SEO success is increasingly measured through calls, directions, and profile interactions. Website traffic alone may underestimate business impact.

Job Board Zero-Click Search Statistics

71. Job boards recorded a 40% AI-access failure rate.

This was the highest access-failure rate among all industries analyzed. Nearly half of the job platforms studied experienced issues that limited AI systems’ ability to access and understand their content. Technical barriers reduce visibility in AI-generated search experiences. As job discovery increasingly intersects with AI-powered tools, accessibility becomes critical. The statistic reveals a major challenge facing employment platforms.

72. Job boards achieved a median AI visibility score of 64.0.

Despite accessibility challenges, job boards maintained moderate visibility within AI search environments. A score of 64.0 suggests that many platforms still provide content suitable for AI citation and discovery. However, higher performance may require improvements in accessibility and authority. Visibility is important because job seekers increasingly interact with AI-assisted search experiences. The statistic indicates both opportunity and vulnerability.

73. Job boards recorded a median authority score of 44.0.

Authority scores for employment platforms were higher than local directories but lower than healthcare and finance. Job seekers depend heavily on trustworthy information, making credibility an important factor in visibility. AI systems are likely to prioritize reliable employment sources. Improving authority signals may increase citation opportunities. The statistic highlights trust as a key differentiator within job search ecosystems.

74. Job boards achieved a median extractability score of 74.0.

Most job listings follow structured formats that AI systems can interpret efficiently. Titles, salaries, locations, qualifications, and responsibilities are generally easy to extract. Higher extractability supports visibility in AI-generated responses. However, technical accessibility issues can offset these advantages. The statistic demonstrates the importance of combining structured content with accessible infrastructure.

75. Job boards were classified as a high-risk industry.

The combination of accessibility problems and evolving search behavior places job boards among the most vulnerable sectors. Employment searches increasingly occur within Google Jobs and other platform-controlled experiences. AI-generated answers may further reduce direct website visits. The statistic suggests that job boards face long-term structural challenges. Adaptation will likely require new visibility and engagement strategies.

76. Job boards ranked as the second most vulnerable industry after travel.

Only travel recorded a weaker overall position in AI visibility audits. This ranking reflects the industry’s dependence on search-driven discovery and its technical accessibility challenges. As AI-powered search becomes more common, employment platforms may experience growing competition from native search features. The statistic highlights the urgency of modernization efforts. Visibility increasingly depends on AI readiness.

77. Job boards were one of only four industries classified as high risk.

The industry shares this designation with travel, legal directories, and coupon websites. All four categories depend heavily on search traffic and face high platform competition. AI-generated search experiences may accelerate existing trends. The statistic places employment platforms among the sectors most exposed to future disruption. High-risk status signals significant strategic challenges.

78. Job boards experienced AI-access failures at nearly eight times the rate of local directories (40% vs. 5.3%).

This comparison demonstrates how technical infrastructure influences visibility. Local directories generally maintain open, crawlable content, while many job platforms rely on dynamic systems that create accessibility issues. Reduced accessibility limits AI citation opportunities. The statistic highlights a major technical gap between industries. Improving accessibility could produce substantial visibility gains.

79. Job boards experienced AI-access failures at almost three times the rate of healthcare websites (40% vs. 15%).

Healthcare publishers generally maintain higher technical accessibility despite operating in a highly regulated environment. The contrast suggests that many job platforms face avoidable infrastructure challenges. Accessibility increasingly affects discoverability in AI-powered search ecosystems. The statistic demonstrates how technical decisions influence competitive outcomes. AI readiness is becoming a business requirement.

80. Job boards achieved a visibility score nearly 19 points higher than travel websites (64.0 vs. 45.5).

Although job boards face substantial risks, they are significantly more visible than travel websites. This suggests that structured employment content still performs reasonably well within AI search environments. Visibility alone, however, does not guarantee traffic or engagement. The statistic highlights the difference between discoverability and business performance. Maintaining both will become increasingly important.

Legal Industry Zero-Click Search Statistics

81. Legal directories recorded a 35% AI-access failure rate.

More than one-third of legal directory websites experienced technical barriers that prevented AI systems from reliably accessing their content. This was one of the highest failure rates reported among all industries analyzed. Accessibility issues reduce the likelihood of appearing in AI-generated answers and citations. As search increasingly incorporates AI-generated responses, inaccessible content becomes less competitive. The statistic highlights a significant technical challenge facing legal lead-generation platforms.

82. Legal directories achieved a median AI visibility score of 63.0.

A visibility score of 63.0 places legal directories in the middle tier of industries studied. While many legal sites are discoverable, they are not among the best performers in AI-powered search environments. This suggests that visibility opportunities exist but require optimization. The statistic reflects a competitive landscape where legal brands must improve both technical accessibility and authority. AI visibility is becoming increasingly important for client acquisition.

83. Legal directories recorded a median authority score of 44.0.

Authority is particularly important in legal search because users seek information with significant personal or financial consequences. A score of 44.0 indicates moderate trustworthiness compared with other industries. Legal brands with greater expertise signals may gain an advantage in AI citation opportunities. As AI systems continue emphasizing credibility, authority becomes increasingly valuable. The statistic highlights the importance of trust in legal content.

84. Legal directories achieved a median extractability score of 74.0.

Most legal directory content follows structured formats that AI systems can process effectively. Lawyer profiles, practice areas, ratings, and contact details are generally easy to extract. Great extractability supports visibility within AI-generated search experiences. However, extractability alone cannot overcome authority or accessibility limitations. The statistic demonstrates the role of structured content in AI discoverability.

85. Legal directories were classified as a high-risk industry.

The combination of accessibility challenges and dependence on search traffic places legal directories among the most vulnerable sectors analyzed. AI-generated answers may increasingly satisfy informational legal queries without requiring website visits. This creates pressure on traditional lead-generation models. The statistic suggests that legal marketers must adapt quickly to changing search behavior. High-risk status reflects long-term structural concerns rather than temporary fluctuations.

86. Legal transactional searches triggered AI Overviews only 12% of the time.

Google appears cautious when dealing with legal queries that may have serious real-world consequences. Transaction-oriented searches involving attorneys or legal services still frequently direct users toward professional providers. This creates some protection for firms focused on lead generation. The statistic demonstrates how transactional intent limits AI Overview penetration. Legal services are more resilient than purely informational legal content.

Coupon & Deals Industry Zero-Click Search Statistics

87. Coupon websites experienced a 20% AI-access failure rate.

One in five coupon websites analyzed encountered accessibility issues that reduced AI visibility. While not as severe as travel or legal directories, the rate is significant. Accessibility challenges can limit inclusion in AI-generated recommendations and answers. As search evolves, technical readiness becomes increasingly important for deal-focused publishers. The statistic highlights a key infrastructure challenge within the coupon industry.

88. Coupon websites achieved a median AI visibility score of 62.0.

Coupon platforms recorded visibility scores slightly below local directories and job boards. This indicates moderate discoverability within AI-powered search environments. While many coupon sites are visible, they face increasing competition from search platforms providing answers directly. The statistic reflects the growing challenge of maintaining relevance in AI-assisted shopping experiences. Visibility alone may not guarantee user engagement.

89. Coupon websites recorded a median authority score of 36.0.

This was one of the lowest authority scores reported among industries studied. Coupon platforms aggregate offers rather than create original content, which may affect trust signals. Lower authority can reduce the likelihood of being cited in AI-generated responses. The statistic suggests that authority-building strategies may become increasingly important. Trust is a competitive differentiator in AI search.

90. Coupon websites achieved a median extractability score of 74.0.

Despite weaker authority, coupon content is generally easy for AI systems to understand. Discounts, promotions, and offer details are presented in structured formats. High extractability supports visibility opportunities even when authority scores are lower. The statistic highlights the role of content structure in AI discoverability. Machine-readable information is valuable in search ecosystems.

Affiliate Review Industry Zero-Click Search Statistics

91. Affiliate review websites recorded a 0% AI-access failure rate.

No access failures were reported among affiliate review sites included in the audit. This made affiliate reviews the most technically accessible industry analyzed. Higher accessibility improves opportunities for AI citation and visibility. The statistic demonstrates the advantage of maintaining open, crawlable content. Technical accessibility is a foundation of AI search performance.

92. Affiliate review websites achieved a median AI visibility score of 69.5.

This was one of the highest visibility scores recorded across all industries. Affiliate review sites provide detailed product evaluations that AI systems find useful. High visibility increases opportunities for citations and brand exposure. The statistic indicates that affiliate publishers are well positioned within AI-powered search ecosystems. Discoverability is a major strength for the sector.

93. Affiliate review websites recorded a median authority score of 54.0.

Affiliate review sites achieved stronger authority scores than many commercial industries. Detailed reviews, testing methodologies, and expertise signals contribute to credibility. Higher authority improves the likelihood of inclusion in AI-generated answers. The statistic demonstrates that trust is achievable even within affiliate business models. Authority increasingly influences AI visibility outcomes.

94. Affiliate review websites achieved a median extractability score of 74.0.

Review content is structured in ways that AI systems can interpret easily. Product comparisons, ratings, and feature breakdowns support efficient extraction. Strong extractability enhances opportunities for AI citation. The statistic reflects the importance of clear content organization. Structured reviews are valuable sources for AI-generated answers.

Online Courses Industry Zero-Click Search Statistics

95. Online course platforms experienced a 30% AI-access failure rate.

Nearly one-third of course websites faced accessibility challenges that limited AI discoverability. This places online education among the more vulnerable industries analyzed. Accessibility barriers reduce opportunities for citation and inclusion in AI-generated responses. The statistic highlights the importance of technical optimization in educational marketplaces. AI visibility increasingly depends on accessibility.

96. Online course platforms achieved a median AI visibility score of 67.5.

Online learning platforms are reasonably visible despite technical challenges. A score of 67.5 places the industry above average compared with many sectors analyzed. High visibility creates opportunities for brand exposure within AI-powered search environments. The statistic demonstrates that discoverability is achievable. However, visibility alone may not guarantee enrollment growth.

97. Online course platforms recorded a median authority score of 46.5.

Authority scores in online education were moderate compared with healthcare and finance. Credibility is increasingly important as AI systems determine which educational sources to trust. Platforms with recognized instructors and better reputations may gain advantages. The statistic highlights the growing value of expertise signals. Authority helps influence AI citation opportunities.

Recipe & Cooking Industry Zero-Click Search Statistics

98. Recipe websites achieved the highest median AI visibility score at 75.0.

Recipes outperformed every other industry analyzed in AI visibility studies. The structured nature of cooking content makes it highly suitable for AI interpretation. Ingredients, instructions, preparation times, and nutritional information are easy for systems to process. The statistic demonstrates the advantages of standardized content formats. Recipe publishers are highly discoverable despite broader search changes.

99. Recipe websites recorded a median authority score of 55.5.

Recipe sites achieved one of the highest authority scores among industries studied. Many cooking brands have established reputations, loyal audiences, and substantial content libraries. Authority increases the likelihood of AI citation and recommendation. The statistic suggests that trusted recipe publishers are valuable sources for AI systems. Credibility continues to support visibility.

100. Recipe websites achieved a median extractability score of 81.5.

This was the highest extractability score reported across all industries analyzed. Recipe content is exceptionally structured, making it easy for AI systems to understand and summarize. High extractability improves visibility and citation potential. However, it also increases the risk of users obtaining information without visiting the source website. The statistic perfectly illustrates the trade-off between discoverability and traffic in the AI search era.

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