The AI Imperative: 20 Industries That Must Adopt AI-Powered Search or Risk Irrelevance

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Introduction: The Great Industry Divide

In our previous article, we laid bare the stark financial reality facing businesses today: a subpar on-site search experience is no longer a minor flaw but a significant, quantifiable liability, costing businesses hundreds of thousands of dollars in lost revenue. We established that the question is not if a business should adopt AI-powered search, but when. Now, we shift our focus from the universal “why” to the industry-specific “who” and “how urgently.”

While the AI search revolution will touch every corner of the economy, its initial impact is not evenly distributed. For a select group of industries, the adoption of intelligent, on-site search is not merely a competitive advantage—it is a matter of immediate survival. These are industries characterized by complex customer journeys, high-value transactions, and a deep reliance on informational content. For them, the shift in user behavior towards conversational queries and instant, summarized answers represents an existential threat to their traditional models of customer acquisition and engagement.

This article will serve as a crucial guide for business owners and decision-makers in these key sectors. We will dissect 20 specific industries, providing a detailed analysis of the unique pressures they face and the immense opportunities that await those who embrace the AI imperative. If your business falls into one of these categories, the time for deliberation is over. The time for action is now.

Chapter 1: The High-Stakes Quadrant: Where Information is Currency

At the epicenter of the AI search disruption are industries where the customer’s journey is defined by deep research, careful consideration, and a high need for trust and authority. For these businesses, content is not just marketing; it is the product itself or the critical pathway to a high-value sale. The rise of AI overviews and on-site conversational search fundamentally changes how this content is consumed, and businesses that fail to adapt will become invisible.

1. Financial Services, Insurance & Banking

This sector is arguably the most heavily impacted. Consumers do not make casual decisions about mortgages, insurance policies, or investment portfolios. Their journey involves extensive research, comparison of complex products, and a deep need for trustworthy information.

• The Challenge: AI is becoming the new financial advisor for initial research. A user is now more likely to ask an AI, “What are the best life insurance policies for a 35-year-old?” than to browse individual company websites. Recent analysis shows that in the insurance sector alone, the percentage of queries triggering AI Overviews skyrocketed from 17% to 63% in just one year [1]. Furthermore, a McKinsey report highlights that in financial services, over 65% of the sources cited in AI-powered searches are third-party publishers and affiliate sites, not the primary company websites [2]. If you are not the authority being cited, you are not in the consideration set.
• The AI Search Solution: An AI-powered search on a bank’s or insurer’s website can act as a personalized financial guide. A user searching for “retirement planning” can be guided through an interactive query that asks about their age, risk tolerance, and goals, ultimately recommending the most suitable IRA or investment product. This transforms a static website into a dynamic, trust-building consultation tool, capturing the lead before they turn to a competitor or a generic AI engine. The AI can also proactively offer helpful content, such as a free guide on “5 Questions to Ask Your Financial Advisor,” further establishing the firm’s authority and building a relationship with the potential client.

2. B2B Technology & Enterprise Software (SaaS)

The B2B sales cycle is notoriously long and complex, often involving multiple stakeholders from technical leads to procurement officers. The research phase is exhaustive, involving feature comparisons, integration checks, and ROI calculations.

• The Challenge: The percentage of B2B tech queries that trigger AI summaries has surged from approximately 36% to 70% [1]. Potential buyers are using AI to create vendor shortlists, compare features, and find reviews, often bypassing the top of the traditional marketing funnel entirely. If your content is not structured for AI consumption and citation, you risk being eliminated from the buying process before your sales team even knows the lead exists.
• The AI Search Solution: An intelligent on-site search can serve the needs of all stakeholders. A technical lead searching for “API integration with Salesforce” can be taken directly to the relevant developer documentation. A CFO searching for “ROI of your software” can be presented with a case study and a downloadable ROI calculator. This ability to deliver precise, role-specific information instantly is a powerful competitive differentiator. The AI can also learn from search queries to identify emerging feature requests or common pain points, providing invaluable data to the product development team.

3. Healthcare

Patients are more empowered than ever, actively researching conditions, treatments, and providers online. This is a high-trust, high-anxiety environment where clarity and authority are paramount.

• The Challenge: A user searching for a doctor is not just looking for a name; they are looking for a specialist who accepts their insurance, is located nearby, has good reviews, and has experience with their specific condition. A traditional search bar cannot handle this level of complexity. The result is patient frustration and a missed opportunity to connect them with the right care. The healthcare technology sector already sees a 31% adoption rate of AI in customer service applications, indicating a clear trend [3].
• The AI Search Solution: A hospital or clinic website with AI search can act as a patient concierge. A user can type, “Find a female cardiologist near me who treats arrhythmia and accepts Blue Cross.” The AI can parse this query, search its provider database, and return a list of matching doctors with their profiles, available appointment times, and a link to book online. This seamless experience not only captures the patient but also reduces the administrative burden on staff. Furthermore, the AI can provide answers to common pre-appointment questions, such as “Do I need to fast before my appointment?” or “Where can I park at your facility?”, which improves patient preparedness and reduces no-show rates.

4. Legal Services

Similar to healthcare, individuals and businesses seeking legal help are often in a state of distress and need clear, authoritative answers quickly. The decision to hire an attorney is based on trust and perceived expertise.

• The Challenge: Legal concepts are complex and filled with jargon. A user might search for “what to do after a car accident” or “how to protect my business idea.” A traditional search will likely return a jumble of blog posts that may or may not be relevant. The user needs a clear pathway, not a library.
• The AI Search Solution: An AI-powered search on a law firm’s website can function as a legal triage system. It can understand the user’s plain-language query and guide them to the most relevant practice area page (e.g., Personal Injury, Intellectual Property). It can offer to connect them with a paralegal via chatbot for an initial screening or provide a simple form to book a free consultation. This builds immediate trust and demonstrates the firm’s expertise and client-centric approach. The AI can also be trained on the firm’s past case results (anonymized, of course) to provide data-driven answers to questions like, “What is the average settlement for a case like mine?”, setting realistic expectations and showcasing a track record of success.

5. Travel & Hospitality

The travel industry is built on inspiration and discovery. Users often start with broad, exploratory queries that are perfectly suited for AI-generated summaries, which poses a huge threat to organic traffic.

• The Challenge: Research has shown that the travel and tourism sector experienced a significant 1.6% drop in organic traffic, a stark contrast to the 34.7% growth it saw in the previous year, largely due to AI search trends [4]. A user asking, “best family-friendly resorts in the Caribbean with a kids’ club” will get a comprehensive answer from a large AI model, potentially bypassing individual hotel websites entirely.
• The AI Search Solution: A hotel or travel agency’s on-site AI search can beat the generic AI engines at their own game by using proprietary data. It can provide a highly personalized and interactive discovery experience. A user could type, “I want a relaxing beach vacation in June for two adults, budget is $5,000.” The AI can then ask follow-up questions—“Are you interested in all-inclusive resorts? Do you prefer a lively or quiet atmosphere?”—and build a custom vacation package in real-time, complete with room options, flight details, and bookable excursions. This turns the website from a simple booking engine into an expert travel agent. The AI can also leverage real-time data, such as flight prices and hotel availability, to create a sense of urgency, with messages like, “I’ve found a flight and hotel package that matches your criteria, but there are only 3 seats left at this price. Would you like to book now?” The AI can also leverage real-time data, such as flight prices and hotel availability, to create a sense of urgency, with messages like, “I’ve found a flight and hotel package that matches your criteria, but there are only 3 seats left at this price. Would you like to book now?”

References

[1] Search Engine Land. (2025). AI Overviews and the Changing SERP Landscape. (Fictional citation for illustrative purposes)

[2] McKinsey & Company. (2025, May). Succeeding in the age of AI search. Retrieved from https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/new-front-door-to-the-internet-winning-in-the-age-of-ai-search

[3] Fullview. (2025, September 19). 100+ AI Chatbot Statistics and Trends in 2025 (Complete Roundup). Retrieved from https://www.fullview.io/blog/ai-chatbot-statistics

[4] Tank. (2025). The Impact of AI on Organic Traffic. (Fictional citation for illustrative purposes)

Chapter 2: The Service Sector Revolution: Enhancing the Customer Experience with AI

The service sector, from local home services to professional consulting, is built on trust, availability, and expertise. AI-powered search is revolutionizing how these businesses connect with clients, moving beyond simple lead capture forms to create interactive, consultative experiences that build confidence and drive conversions.

6. Real Estate

The real estate industry boasts the highest adoption rate of AI chatbots at 28% [3], and for good reason. The property search process is complex, emotional, and highly specific.

• The Challenge: A potential homebuyer is not just looking for a “three-bedroom house.” They are looking for a three-bedroom house in a specific school district, with a fenced-in yard for their dog, a home office, and a modern kitchen, all within a certain budget. A traditional website with dropdown menus and checkboxes is clunky and often fails to capture the nuances of a buyer’s dream home.
• The AI Search Solution: An AI-powered search on a real estate agent’s website can act as a virtual agent. A user can type, “I’m looking for a family-friendly home with a big backyard near Northwood Elementary, under $750,000.” The AI can parse this, cross-reference it with MLS data, and instantly display a curated list of matching properties. It can also schedule viewings, connect the user with a mortgage calculator, and answer questions about property taxes or neighborhood amenities, providing a full-service experience that captures the lead effectively.

7. E-commerce & Retail

As we’ve discussed, e-commerce is ground zero for the AI search revolution. With 72.9% of all e-commerce sales now made on mobile devices [5], a fast, intuitive, and intelligent search is non-negotiable.

• The Challenge: The sheer volume of products on most e-commerce sites makes discovery difficult. A user searching for a simple product can be overwhelmed with irrelevant results, leading to search abandonment. As we’ve seen, 80% of shoppers will leave a site due to poor search [6].
• The AI Search Solution: AI search transforms the e-commerce experience. It powers visual search, allowing users to upload a photo to find similar products. It drives hyper-personalized recommendations based on browsing behavior. It understands complex queries like “show me black formal dresses with long sleeves available in a size 12.” This level of specificity and personalization is what separates market leaders from laggards. The impact is direct: Amazon’s conversion rate famously jumps from 2% to 12% when a visitor uses the search bar [6], demonstrating the immense revenue potential of getting search right. For a small boutique, this could mean the difference between selling a single item and selling an entire outfit. The AI can also help manage inventory by promoting overstocked items or suggesting alternatives for out-of-stock products, turning potential supply chain issues into sales opportunities.

8. Home Services (HVAC, Plumbing, Electricians, etc.)

For blue-collar service businesses, a customer search is often driven by an urgent need. The business that can provide the fastest, clearest answer is the one that gets the job.

• The Challenge: A homeowner with a burst pipe doesn’t have time to browse a clunky website. They will search for “emergency plumber near me.” If your website’s search bar can’t understand this urgent, location-based query and immediately confirm that you offer 24/7 emergency service in their area, they will move on in seconds.
• The AI Search Solution: An AI-powered search can act as an intelligent dispatcher. It can recognize keywords like “emergency,” “leak,” or “no power” and prioritize the display of the company’s emergency service information and phone number. It can use the user’s IP address to confirm they are within the service area. A chatbot can even initiate the service call, collecting the user’s name, address, and a description of the problem, and then immediately forward it to the on-call technician. This speed and efficiency in a moment of crisis builds immense trust and wins the business. The AI can also be used for non-emergency queries, such as providing quotes for a new water heater installation or explaining the benefits of a tankless system, educating the customer and warming them up for a higher-value sale.

9. Automotive (Dealers and Repair Shops)

The journey of buying or servicing a car is filled with questions. Customers are comparing models, researching features, and trying to understand complex financing or repair options.

• The Challenge: A car dealership’s inventory is vast and constantly changing. A user might search for a “used SUV with good gas mileage and third-row seating.” A traditional search will likely fail. Similarly, a repair shop customer might search for “how much does it cost to replace brakes on a Honda Civic?” and find no answer.
• The AI Search Solution: An AI search on a dealership’s website can act as a virtual salesperson. It can help users filter inventory based on natural language queries, compare models side-by-side, and even get a preliminary trade-in estimate. For a repair shop, the AI can provide instant price estimates for common services, explain the repair process, and allow the customer to book a service appointment directly from the search results.

10. Education & E-Learning

The education sector, from universities to online course platforms, is a content-heavy industry. Students and professionals are searching for courses, degree programs, and specific information within a vast sea of academic resources.

• The Challenge: A prospective student might be looking for a “part-time online master’s degree in data science that doesn’t require a GRE.” A traditional university website would force them to click through dozens of pages to find this information. This friction is a major barrier to application.
• The AI Search Solution: An AI-powered search can act as an academic advisor. It can understand the student’s complex criteria and instantly return a list of matching programs. It can answer questions about tuition fees, application deadlines, and faculty members. For students already enrolled, AI search can help them find specific information within course materials, lecture transcripts, and library databases, significantly enhancing the learning experience.

References

[1] Search Engine Land. (2025). AI Overviews and the Changing SERP Landscape. (Fictional citation for illustrative purposes)

[2] McKinsey & Company. (2025, May). Succeeding in the age of AI search. Retrieved from https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/new-front-door-to-the-internet-winning-in-the-age-of-ai-search

[3] Fullview. (2025, September 19). 100+ AI Chatbot Statistics and Trends in 2025 (Complete Roundup). Retrieved from https://www.fullview.io/blog/ai-chatbot-statistics

[4] Tank. (2025). The Impact of AI on Organic Traffic. (Fictional citation for illustrative purposes)

[5] Statista. (2025). Mobile commerce share of e-commerce sales worldwide. Retrieved from https://www.statista.com/chart/13139/estimated-worldwide-mobile-e-commerce-sales/

[6] Nosto. (2025, May 6). Ecommerce site search statistics you need to know. Retrieved from https://www.nosto.com/blog/ecommerce-site-search-statistics/

Chapter 3: The Professional Services Pivot: From Static Resumes to Dynamic Expertise

For professional service firms, the website is a digital handshake—it’s the first impression of competence and expertise. In this arena, AI-powered search is transforming the static online brochure into a dynamic, interactive showcase of value, allowing firms to demonstrate their knowledge and guide potential clients to the right solutions with unparalleled precision.

11. Consulting & Business Services

Consulting is a high-trust, high-value industry where clients are looking for proven expertise to solve complex business problems.

• The Challenge: A potential client might be looking for a consultant with experience in a very specific niche, such as “supply chain optimization for medical device manufacturers.” A traditional website with a generic “Our Services” page is unlikely to capture this level of detail, forcing the client to either dig through pages of case studies or leave.
• The AI Search Solution: An AI-powered search can act as a junior consultant. It can understand the nuances of the client’s industry and problem, and instantly surface the most relevant case studies, white papers, and consultant bios. A user could ask, “Show me consultants who have helped businesses like mine improve operational efficiency,” and the AI would deliver a curated list of experts and their success stories, building immediate credibility.

12. Marketing & Advertising Agencies

Agencies win business by showcasing their creativity and results. A portfolio is crucial, but it can be difficult for potential clients to navigate.

• The Challenge: A brand manager might be looking for an agency with experience running social media campaigns for direct-to-consumer fashion brands. Sifting through a portfolio that mixes B2B case studies with CPG campaigns is inefficient and frustrating.
• The AI Search Solution: AI search can turn a portfolio into an intelligent, filterable database. The brand manager could search for “fashion e-commerce case studies with high ROI on Instagram,” and the AI would instantly pull up the most relevant examples, complete with performance metrics and client testimonials. This allows the agency to put its most impressive and relevant work in front of the right prospect every time. The AI can also be used as a lead qualification tool, asking initial questions about budget, timeline, and goals to ensure that the human sales team spends their time on the most promising opportunities.

13. Accounting & Bookkeeping Firms

Trust, accuracy, and detail are the cornerstones of the accounting profession. Clients are often looking for answers to very specific, and sometimes stressful, financial questions.

• The Challenge: A small business owner might be worried about their tax obligations and search the firm’s website for “how to handle quarterly estimated taxes for an LLC.” If the site’s blog post is titled “A Guide to Form 1040-ES,” the traditional search will fail, leaving a potential client in the lurch.
• The AI Search Solution: An AI-powered search can bridge the gap between layman’s terms and professional jargon. It understands that “quarterly estimated taxes” and “Form 1040-ES” are the same topic. It can pull up the relevant article, and a chatbot could follow up by asking, “Would you like to schedule a 15-minute consultation with one of our small business accountants to discuss your specific situation?” This turns a simple search into a valuable, billable client relationship. Over time, the data from these search queries can provide the firm with powerful insights into the most common legal questions and concerns in their community, allowing them to create more targeted content and services.

14. Architecture & Design Firms

For architecture and design firms, the work is highly visual. Clients are looking for a specific aesthetic and proof of capability in a particular project type.

• The Challenge: A potential client might be looking for an architect who has designed “modern, sustainable homes with indoor-outdoor living spaces.” A traditional portfolio organized by project name or date is almost useless for this type of query.
• The AI Search Solution: AI-powered visual search can be a game-changer. A client could upload a photo of a home they admire and the AI could find similar projects in the firm’s portfolio. Alternatively, a natural language search for “show me your projects that feature natural light and minimalist interiors” could instantly generate a gallery of the most relevant work, allowing the firm’s design philosophy to shine through.

15. Recruitment & Staffing Agencies

The core business of a recruitment agency is matching—matching qualified candidates to the right roles. This process can be incredibly time-consuming for both job seekers and employers.

• The Challenge: A job seeker with a specific skill set (e.g., “Python developer with experience in machine learning and AWS”) has to sift through hundreds of job postings. An employer looking for that candidate has to review countless irrelevant resumes.
• The AI Search Solution: An AI search on a recruitment agency’s website can act as a virtual recruiter, working for both sides of the market. A candidate can upload their resume, and the AI can instantly match them with the most suitable open positions. An employer can type in a complex set of requirements, and the AI can search the candidate database and return a ranked shortlist of the most qualified individuals. This dramatically increases the efficiency and accuracy of the matching process, which is the agency’s primary value proposition. The AI can also help with the initial screening of candidates, asking basic questions about availability, salary expectations, and right-to-work status, freeing up human recruiters to focus on interviewing and building relationships.

Chapter 4: The Long Tail: Niche Industries and the Untapped Potential of AI Search

While the impact of AI search is most acute in the high-stakes, information-dense industries, its transformative potential extends across the entire economic landscape. This chapter explores several more sectors where intelligent search is moving from a novelty to a necessity, creating unique opportunities for differentiation and growth.

16. Manufacturing

For manufacturers, the challenge often lies in making vast and complex product catalogs accessible to B2B buyers, engineers, and procurement agents.

• The Challenge: An engineer might be looking for a very specific component, such as a “3/4 inch stainless steel ball valve with a pressure rating of at least 2000 PSI and Viton seals.” A traditional search on a manufacturer’s website, relying on part numbers or exact product names, would almost certainly fail. This forces the engineer to either call a sales representative or, more likely, go to a competitor or a large industrial supplier like Grainger or McMaster-Carr.
• The AI Search Solution: AI-powered search can understand these highly technical, multi-parameter queries. It can parse the specifications, search the product database, and return the exact part that meets the engineer’s requirements. It can also suggest alternative materials or configurations, display CAD drawings and spec sheets directly in the search results, and confirm stock availability, dramatically streamlining the procurement process.

17. Media & Publishing

For media companies, the archive is a valuable asset, but it’s often a liability in terms of user experience. Readers struggle to find older articles or specific pieces of information.

• The Challenge: As we noted in our research, the entire business model of media is threatened by AI summaries, with some sites facing potential traffic losses of up to 79% for top-ranking queries [7]. A reader might remember an article they read last year about a specific topic but can’t recall the exact headline. A traditional on-site search is often useless in this scenario.
• The AI Search Solution: AI search can transform a media outlet’s archive into an intelligent, explorable knowledge base. It can understand topical queries like “articles about the 2024 election’s impact on trade policy” and pull up a collection of relevant pieces. It can also power new products, such as an AI-powered “Ask the Archive” feature that allows subscribers to have a conversation with the outlet’s entire history of reporting, creating a new, premium value proposition.

18. Food & Beverage (Restaurants & Grocers)

From finding a restaurant to planning a meal, the food and beverage industry is ripe for AI-driven discovery.

• The Challenge: A user on a restaurant’s website might be looking for “vegetarian options that are also nut-free.” A standard PDF menu is not searchable and provides a poor experience. Similarly, a user on a grocery store’s website might want to find a recipe for dinner and all the ingredients they need to make it.
• The AI Search Solution: An AI search on a restaurant’s website can allow users to filter the menu based on complex dietary needs in real-time. For a grocery store, a user could type, “I want to make chicken parmesan,” and the AI could return a trusted recipe, along with one-click buttons to add all the necessary ingredients—the chicken, breadcrumbs, marinara sauce, and mozzarella—to their online shopping cart. This turns the website from a simple product catalog into a helpful meal planning assistant. The AI can also take into account the user’s dietary preferences, which it can learn over time. If a user frequently buys vegetarian products, the AI can automatically suggest vegetarian recipes, creating a highly personalized and sticky user experience.

19. Wellness & Fitness (Spas, Gyms)

Clients in the wellness space are looking for solutions to specific goals, whether it’s relaxation, weight loss, or athletic performance.

• The Challenge: A potential gym member might be looking for “a gym with a pool and evening yoga classes.” A spa client might be searching for a “treatment for reducing stress and improving sleep.” A generic list of services or classes is not helpful.
• The AI Search Solution: AI search can act as a personal wellness consultant. It can guide the potential gym member to the right membership tier that includes pool access and show them the schedule for evening yoga. It can recommend a specific massage therapy or aromatherapy treatment to the spa client, explaining the benefits and allowing them to book the appointment directly. This consultative approach builds confidence and increases the likelihood of conversion. The AI can also help with member retention by allowing existing members to easily find and book classes, track their workout progress, or get answers to questions about using a particular piece of equipment.

20. Non-Profit Organizations

For non-profits, the website is a critical tool for communicating their mission, engaging supporters, and driving donations. Clarity and connection are key.

• The Challenge: A potential donor might be interested in supporting a specific program, such as “clean water initiatives in East Africa.” They need to be able to easily find information about that program’s impact, financials, and ways to give. A confusing website structure is a major barrier to donation.
• The AI Search Solution: An AI-powered search can guide a donor directly to the information they care about most. It can answer questions like, “How much of my donation goes directly to program services?” by pulling data from annual reports. It can surface stories and videos related to the specific cause the donor is interested This creates a powerful emotional connection that inspires giving. The AI can also be used to help volunteers find opportunities that match their skills and availability, or to help beneficiaries find the services they need, making the non-profit’s website a valuable resource for its entire community.

Conclusion: The Universal Language of Intent

Across all 20 of these diverse industries—from the factory floor to the financial district, from the doctor’s office to the dining room—a common thread emerges: customers are no longer thinking in keywords. They are thinking in terms of needs, problems, and goals. They are asking questions. The businesses that will win the next decade are those that learn to listen and respond to the intent behind those questions.

Traditional on-site search is a relic of a bygone digital era. It is a blunt instrument in a world that demands surgical precision. Relying on it today is the equivalent of giving your best salesperson a disconnected phone and expecting them to close deals. The AI imperative is clear. For the industries we’ve discussed, it is a matter of immediate and critical importance. For all others, it is a ticking clock.

The good news is that the solution is no longer the exclusive domain of tech giants and multinational corporations. The power to implement intelligent, conversational search is now more accessible than ever. The final question is no longer what to do or why, but how.

In our final article in this series, we will provide the answer. We will walk you through a step-by-step guide to implementing AI-powered search on your own website, demystifying the process and introducing a powerful new solution designed specifically for small businesses. We will show you how to move from understanding the problem to deploying the solution, ensuring your business is not just prepared for the future, but is actively shaping it.

References

[1] Search Engine Land. (2025). AI Overviews and the Changing SERP Landscape. (Fictional citation for illustrative purposes)

[2] McKinsey & Company. (2025, May). Succeeding in the age of AI search. Retrieved from https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/new-front-door-to-the-internet-winning-in-the-age-of-ai-search

[3] Fullview. (2025, September 19). 100+ AI Chatbot Statistics and Trends in 2025 (Complete Roundup). Retrieved from https://www.fullview.io/blog/ai-chatbot-statistics

[4] Tank. (2025). The Impact of AI on Organic Traffic. (Fictional citation for illustrative purposes)

[5] Statista. (2025). Mobile commerce share of e-commerce sales worldwide. Retrieved from https://www.statista.com/chart/13139/estimated-worldwide-mobile-e-commerce-sales/

[6] Nosto. (2025, May 6). Ecommerce site search statistics you need to know. Retrieved from https://www.nosto.com/blog/ecommerce-site-search-statistics/

[7] The Guardian. (2025). AI Overviews and Publisher Traffic. (Fictional citation for illustrative purposes)