How To Turn Off AI Results On Google

Google’s integration of artificial intelligence directly into search results has fundamentally transformed the search experience for billions of users worldwide, presenting significant challenges for those seeking to retrieve traditional web-based results without AI-generated summaries and interpretations. While Google does not currently provide users with a straightforward, system-wide toggle to permanently disable AI Overviews across all searches, a growing array of technical workarounds, browser configurations, and alternative approaches have emerged to allow users to access Google’s search functionality while minimizing or eliminating AI-generated content from their results pages. This comprehensive report examines the technical mechanisms behind these solutions, explores the limitations of current approaches, analyzes regulatory developments that may reshape user controls in the future, and provides detailed instructions for implementing AI-free search across multiple devices and browsers. The landscape of AI suppression in Google search remains fluid and subject to change with each browser update and Google algorithm modification, making this an essential area of understanding for users concerned about information accuracy, privacy, click-through behavior, and the preservation of traditional link-based search discovery.

Understanding Google’s AI Integration and Why Users Want to Disable It

The Evolution and Current State of AI Overviews

Google’s integration of artificial intelligence into search results represents one of the most significant transformations in the company’s search functionality since the advent of the algorithm itself, and the feature has fundamentally altered how users encounter information online. Beginning as an experimental feature called the Search Generative Experience at Google I/O in 2023, AI Overviews have evolved into a permanent, ever-present layer of Google’s search results, now appearing for approximately 47 percent of searches globally, with particularly high penetration in specific sectors including healthcare at 88 percent, education at 83 percent, and business-to-business technology queries at 82 percent. Rather than simply returning a list of hyperlinks to websites, Google’s Gemini AI model now generates a comprehensive summary at the top of the search results page, synthesizing information from multiple sources into a cohesive answer that addresses the user’s query directly. These AI Overviews often exceed 1,200 pixels in height on desktop devices, occupying an entire viewport and pushing traditional organic search results substantially below the fold, which fundamentally alters the user’s first impression of available information and the visual hierarchy of the search experience. Each overview typically includes a concise summary generated by Gemini AI, a series of key points extracted from the synthesized sources, and a list of hyperlinked websites beneath the summary, though users frequently obtain their desired information from the AI-generated text without ever clicking through to original sources.

The distinction between AI Overviews and previously common search features such as featured snippets and knowledge panels is crucial for understanding both the benefits and the concerns they raise. Unlike featured snippets, which extract direct quotations from a single highest-ranking web page, AI Overviews create entirely new content by pulling information from multiple sources and stitching it together in a synthesized format. This synthesis approach, while potentially offering broader context, introduces several risks that have prompted both casual users and regulatory bodies to question whether the feature should exist in its current form. The underlying mechanism relies on Google’s FastSearch approach, which processes one complex conversational query by executing multiple sub-queries and utilizing the top three organic search results for each sub-query, then feeding this information to Gemini to generate the summary. This architectural approach means that AI Overviews often cite sources that differ substantially from the traditional top-ranking pages in Google’s organic results, creating a disconnect between traditional search engine optimization success and visibility in AI-generated summaries.

Documented Problems and User Concerns

The proliferation of AI Overviews has generated substantial user criticism and regulatory scrutiny centered on several distinct categories of harm and concern that affect different stakeholder groups in unique ways. From a health and safety perspective, perhaps the most alarming issue involves AI Overviews providing dangerously inaccurate medical information that could directly harm users who rely on the AI-generated summaries rather than consulting authoritative medical sources. Documented cases include AI Overviews advising pancreatic cancer patients to avoid high-fat foods, which directly contradicts established clinical guidance; presenting misleading liver test reference ranges that could falsely reassure someone their results are normal; and generating other health-related summaries that, while appearing authoritative, contain either outdated information or outright hallucinations. Although Google initially denied these claims, the company subsequently removed several problematic health-related summaries and acknowledged the need to improve the feature when contextual information is insufficient, yet health experts continue to report encountering inaccurate medical information in AI Overviews.

From a traffic and economic perspective, publishers and content creators have experienced measurable, significant reductions in click-through rates to their websites as a direct result of AI Overviews providing answers that satisfy user queries without requiring them to visit external websites. Ahrefs research from December 2025 demonstrates that the presence of an AI Overview now correlates with a 58 percent lower average clickthrough rate for the top-ranking page compared to what would be expected for an informational query without an AI Overview present. This finding has been corroborated by multiple independent studies showing organic click-through rate reductions ranging from 49.4 to 65.2 percent, with some publishers reporting even more dramatic reductions of 80 to 90 percent in certain categories. For websites that depend on organic search traffic to generate revenue, attract users, or establish authority, this reduction represents a substantial threat to business viability and market position. The cumulative effect across the search ecosystem has been the creation of what researchers term zero-click searches, where users obtain their answer entirely from Google’s search results page without ever visiting an external website.

Environmental and computational concerns represent another dimension of user and regulatory opposition to AI Overviews. Each AI Overview requires dramatically more computational power than a traditional keyword-based search query, as the system must retrieve and process information from multiple sources, feed that information into a large language model, and generate new synthetic text summarizing the retrieved information. This increased computational demand translates directly into greater energy consumption and increased carbon emissions compared to traditional search queries, raising environmental justice questions about whether the convenience of AI-generated summaries justifies the environmental cost of powering these systems. Additionally, the opacity and inscrutability of how Gemini generates summaries, which sources it prioritizes, and what information it includes or excludes creates accountability and transparency concerns that affect both individual users and broader democratic discourse about information quality.

Official Methods and Native Google Tools for Managing AI Results

Using the Web Filter in Google Search

The most straightforward and universally available method for removing AI Overviews from Google search results, supported by official Google documentation and consistently available across all devices and browsers, is the Web filter that appears directly on the Google search results page. After conducting any search on Google.com, users will observe a horizontal menu bar appearing immediately below the search box, displaying options such as “All,” “Images,” “Videos,” “News,” and other content categories. If the Web filter does not immediately appear in this menu bar, users should click on “More” to expand the full list of available filter options, where the Web filter typically appears. By clicking the Web tab or filter option, Google Search will immediately reload the results page to display only traditional text-based hyperlinks to web pages, completely removing the AI Overview that previously appeared at the top of the results page. This approach functions as an immediate, reliable, and permanent solution for any individual search query, providing users with the search results they would have seen prior to Google’s widespread implementation of AI Overviews.

However, the Web filter approach carries a significant limitation that impacts the user experience and workflow efficiency for anyone conducting multiple searches. The Web filter selection applies only to the specific search for which it was activated; when the user conducts a subsequent search, Google’s default behavior returns to the “All” results view, which includes AI Overviews for any queries where they are available. This means that users who wish to consistently avoid AI Overviews must manually click the Web filter for each individual search they perform, a process that becomes tedious and burdensome for frequent search users. Despite this limitation, the Web filter remains one of the most reliable methods available, as it is maintained by Google itself and therefore unlikely to be disrupted by algorithm changes, browser updates, or other technical modifications. Users seeking a somewhat less cumbersome experience than manually clicking the Web filter for every search can bookmark their Web-filtered search results, creating a personalized bookmark that pre-applies the Web filter, though this still requires remembering to use the bookmark rather than the standard Google search box.

Search Labs and Experimental Settings

For users who were early adopters of Google’s experimental AI features and specifically opted into the Search Labs program where AI Overviews originated, another official method for controlling AI integration exists through the Search Labs interface. Users who have access to Search Labs, which varies by region and account due to Google’s gradual rollout strategy, can navigate to the Search Labs settings by visiting Google Search and looking for a flask icon or similar experimental features indicator. Within Search Labs, users who see an “AI Mode” toggle or “AI Overviews and more” option can disable these features by toggling the setting to the off position. This approach provides genuine control over AI features but only applies to searches conducted within the Search Labs interface, meaning that searches conducted through the regular Google search box or other entry points will continue to display AI Overviews. Additionally, as Google has gradually rolled out AI Overviews from an experimental feature to a default feature for all users, many users find that Search Labs no longer provides meaningful controls, as AI Overviews now appear regardless of Search Labs settings. The inconsistency and regional variation in Search Labs availability means that this solution is not universally applicable.

Data Personalization and Activity Controls

For users willing to take a more comprehensive approach to limiting how AI systems utilize their personal information, Google provides tools to disable Web & App Activity tracking and search personalization, which may indirectly affect which searches trigger AI Overviews and reduce the data available for training Google’s generative AI models. By navigating to myactivity.google.com or the Activity Controls section within Google Account settings, users can disable Web & App Activity, which is the setting that allows Google to save and utilize search history, browsing activity, and other behavioral signals to personalize the search experience and train AI models. When Web & App Activity is disabled, Google states that future signed-in searches will not be used to improve Search’s generative AI models, though Google also notes that they may still utilize aggregated, anonymized search data. Additionally, users can disable search personalization by navigating to their Search personalization settings and toggling off the “Personalize Search” option. While these changes do not completely disable AI Overviews from appearing, they reduce the level of personalization applied to the summaries and limit how user data contributes to AI model training, addressing some privacy concerns even if they do not eliminate AI features entirely.

Browser-Specific Technical Solutions Across Desktop Platforms

Chrome Implementation Using Custom Search Engines

For users operating Google Chrome, the most effective and permanent technical solution involves creating a custom search engine that automatically applies the “&udm=14” parameter to all Google searches conducted through the browser’s address bar. The udm=14 parameter represents an undocumented Google Search URL parameter that forces Google to display results in the “Web” view, functionally equivalent to manually clicking the Web filter but applied automatically to every search without user intervention. To implement this solution in Chrome, users must access the browser’s search engine settings by clicking the three-dot menu icon in the upper right corner, selecting “Settings,” navigating to “Search engine,” and then choosing “Manage search engines and site search”. From the Site search section, users click the “Add” button to create a new search engine entry with the following configuration: name (which can be anything the user prefers, such as “Google Web” or “AI-Free Search”), a shortcut keyword (such as “@web” or “gw” that the user can type to activate this search engine), and the critical URL field where users must paste exactly: “https://www.google.com/search?q=%s&udm=14”. After saving this entry, users must click the three dots next to their newly created search engine and select “Make Default” to establish it as the default search engine for all address bar searches.

Once this custom search engine is established as the default, every search conducted from the Chrome address bar will automatically include the udm=14 parameter, effectively eliminating AI Overviews from the results without requiring any further user action. The effectiveness and reliability of this approach has made it one of the most widely recommended solutions across technology forums and how-to guides. However, users should understand that this solution only applies to searches initiated from the Chrome address bar; searches initiated from the Google.com homepage will still display AI Overviews unless the Web filter is manually applied. Additionally, while the udm=14 parameter has proven stable over extended periods, there remains a theoretical possibility that Google could modify or disable this parameter in future updates, potentially breaking this solution. Some Chrome users have reported that after major Chrome updates, the custom search engine configuration occasionally resets or behaves unexpectedly, requiring verification that the setting remains properly configured.

Firefox Search Engine Customization

Firefox users can implement a nearly identical solution to Chrome’s custom search engine approach, as Firefox provides comparable functionality for managing default search engines and custom search shortcuts. To create a custom Google search engine in Firefox that applies the udm=14 parameter, users should access the browser’s settings by clicking the hamburger menu (three horizontal lines) in the upper right corner, selecting “Settings,” and then navigating to the “Search” section in the left sidebar. Within the Search settings, Firefox displays a list of available search engines along with options to add new search engines; users click the “Add Search Engine” button to create a new entry. In the configuration form, users enter their preferred name (“Google Web-Only” is common), select “Google” as the search engine type if available, and most critically, paste the following search URL: “https://www.google.com/search?q=%s&udm=14”. After saving this new search engine, users can click the three dots or options button next to their new search engine entry and select “Set as Default” to make it the default search engine for the address bar and homepage searches.

Firefox provides additional flexibility compared to Chrome in certain respects, as Firefox allows users to manage search engine shortcuts and default search engines with somewhat greater granularity and control. Like the Chrome implementation, the Firefox approach ensures that all searches initiated from the address bar will automatically utilize the udm=14 parameter and eliminate AI Overviews. However, Firefox users should also note that this solution applies specifically to address bar searches and may not affect searches initiated from the Firefox homepage or other entry points unless those entry points are separately configured. Additionally, Mozilla periodically updates Firefox’s search engine integration and privacy features, which occasionally modifies how search engine shortcuts function; users should verify their settings remain properly configured after major Firefox updates.

Safari Limitations and Alternative Approaches

Safari users face more significant challenges in implementing the udm=14 workaround directly within the browser, as Safari’s search engine customization features do not provide the same flexibility as Chrome or Firefox for adding custom search URLs with specific parameters. The standard Safari preferences do not include an option to add a custom search engine with a specific URL parameter, which means that the straightforward approach available in Chrome and Firefox does not directly translate to Safari. However, Safari users have identified several alternative approaches to achieve similar results, though none are as seamless as the Chrome or Firefox implementations. One effective workaround involves using third-party Safari extensions specifically designed to manage search engine customization, such as “Customize Search Engine” (CSE) or other similar extensions available in the App Store. These extensions allow users to define custom search URLs including the udm=14 parameter and set them as the default search behavior, achieving results comparable to Chrome and Firefox despite the limitations of Safari’s native settings.

An alternative approach for Safari users involves utilizing proxy search services such as Startpage or tenbluelinks.org, which deliver Google Search results through an intermediary service that strips out certain features and applies parameters like udm=14 automatically. Startpage acts as a privacy intermediary that forwards Google search queries while removing identifying information and often applies similar web-only result filtering, presenting traditional search links without the AI Overview summaries. While these proxy approaches may introduce slight delays due to the intermediary service and raise questions about data privacy depending on the service’s actual practices, they provide Safari users with a functional, if not ideal, workaround. Safari users can also simply use the Web filter approach available through the Safari interface, though this requires manual selection after each search.

Microsoft Edge and Chromium-Based Browsers

Microsoft Edge and other Chromium-based browsers such as Brave, Vivaldi, and Opera can implement the custom search engine approach nearly identically to Google Chrome, as they share Chrome’s underlying Chromium engine and therefore provide equivalent search engine customization functionality. Users of these browsers should access their respective settings interfaces, navigate to search engine options, and create a custom search engine with the URL “https://www.google.com/search?q=%s&udm=14” in the same manner described for Chrome. The setup process varies slightly depending on the specific browser’s interface design, but the fundamental approach remains consistent. For example, Vivaldi users navigate to “Settings > Search,” add a new search engine, assign it a name and shortcut, and configure the URL with the udm=14 parameter. After completing this setup and setting the custom search engine as default, all address bar searches will automatically apply the udm=14 parameter.

Brave deserves specific mention as a privacy-focused browser that has independently worked to limit AI feature integration, though it still uses Google Search as one of its default options. Brave users implementing the udm=14 workaround benefit from additional privacy protections built into the browser itself, including tracker blocking and other anti-surveillance features that complement the effort to avoid AI Overviews. These Chromium-based browsers generally provide stable, reliable implementations of the custom search engine approach and are less susceptible to sudden changes than solutions dependent on undocumented parameters.

Mobile Device Solutions and Cross-Platform Implementation

Android Chrome and Mobile Browsers

Implementing the udm=14 workaround on mobile devices presents distinct challenges compared to desktop environments, primarily because most mobile browsers do not provide user-accessible interfaces for adding custom search engines with specific URL parameters. The Google Chrome mobile app on Android, like the desktop version, technically supports custom search engines, but the process for adding them is not intuitive and the settings interface differs substantially from the desktop version. For users attempting to configure Chrome on Android with the udm=14 parameter, one effective workaround involves visiting the website tenbluelinks.org directly from mobile Chrome, conducting a test search, and allowing Chrome to add “Google (Web)” as a recently visited search engine option. After this process, users can navigate to Chrome Settings > Search Engine, locate “Google Web” in the Recently Visited section, and select it as their default search engine. This approach succeeds because Chrome automatically detects and suggests frequently visited search-related websites as search engine options.

Alternatively, mobile users can install Firefox on Android and implement the custom search engine configuration identically to the desktop Firefox setup, as Firefox for Android provides equivalent search engine customization features accessible through the browser’s settings. This approach provides reliable, consistent AI Overview removal on Android devices and represents one of the most straightforward solutions for mobile users. Users should note that mobile browsers generally display more limited result sets due to screen size constraints, and the visual appearance of search results differs from desktop, though the underlying removal of AI Overviews functions identically.

iPhone and iOS Safari Limitations

iPhone and iPad users operating Apple’s Safari browser face similar challenges to those encountered by macOS Safari users, as Safari on iOS does not provide native custom search engine configuration options equivalent to Chrome or Firefox. However, iOS users can still employ several workarounds to eliminate AI Overviews, though none are as streamlined as Chromium-based solutions. One practical approach involves using Firefox for iOS, which, like its Android and desktop counterparts, allows users to create custom search engines with the udm=14 parameter. After setting up the custom Google Web search engine in Firefox for iOS, all searches conducted through Firefox’s address bar will automatically exclude AI Overviews. Users can then set Firefox as their preferred browser, though iOS constraints mean that some apps may still default to Safari for search functionality.

Another approach for iOS users involves using alternative search engines that have already implemented AI-limiting functionality or that provide cleaner, traditional search results by default. DuckDuckGo is widely used on iOS and provides a privacy-focused alternative with minimal AI integration. Startpage also functions effectively on iOS Safari and delivers Google-powered results through a privacy intermediary that often excludes AI Overviews. While these alternative search engines do not provide the exact Google search experience, they represent legitimate workarounds for iOS users unable to easily implement the udm=14 parameter.

Browser Extensions and Automated Solutions

Dedicated AI Overview Hiding Extensions

Multiple browser extensions have been developed specifically to automate the removal of AI Overviews from Google search results pages, allowing users to avoid manually clicking the Web filter or conducting searches through custom search engines. The extension “Hide Google AI Overviews,” available in the Chrome Web Store with substantial user ratings and downloads, functions by automatically hiding or removing the AI Overview element from Google search results pages when they load. This extension operates transparently in the background, requiring no user configuration beyond installation and activation, and it automatically applies to all Google searches regardless of the entry point. The extension injects CSS or JavaScript to visually remove or hide the AI Overview box, presenting users with traditional search results as if the AI Overview had never been generated.

Similar extensions are available for Firefox and other browsers, though the names and specific functionality vary slightly across platforms. “No AI Results” is one Firefox add-on providing equivalent functionality, removing AI-generated summaries from search results pages automatically. These extensions are generally lightweight, open-source, and do not collect user data, making them privacy-respecting solutions compared to some alternative workarounds. However, extensions carry an inherent limitation in that they depend on the extension developer maintaining compatibility with Google’s code and interface as Google inevitably makes changes. Historical precedent indicates that when Google significantly modifies its search results layout, previously functional extensions frequently break and require updates from their developers. Users should monitor extension reviews and update logs to ensure their chosen extension remains current and functional.

Content Blockers and Advanced Filtering

Advanced users comfortable with technical configuration can employ content blockers such as uBlock Origin or similar tools to implement custom CSS rules that hide or remove AI Overviews. These tools allow users to define custom “cosmetic” rules that target specific HTML elements on a webpage and either hide them completely or remove them from the DOM entirely. Community-maintained filter lists specifically designed for blocking AI-related elements in Google Search are shared across filtering communities, allowing users to import pre-configured rules rather than crafting their own. This approach provides maximal flexibility and tends to be more resistant to being broken by Google’s changes, as content blockers operate at a lower level than extensions relying on specific element identification. However, this solution requires users to be comfortable with technical concepts like filter syntax and CSS selectors, making it less accessible to non-technical users.

Alternative Search Engines as Comprehensive Solutions

DuckDuckGo: Privacy-Focused Alternative with Minimal AI

DuckDuckGo has emerged as one of the most popular alternatives for users seeking to avoid Google entirely due to privacy concerns, surveillance avoidance, or dissatisfaction with AI integration in search results. Unlike Google, DuckDuckGo is built on principles of strict user privacy, with the service explicitly not tracking users, storing search history, or utilizing search behavior for profiling or personalized advertising. The search engine derives its results from a combination of its own web crawler and sources including Bing, providing an independent alternative to Google’s index while avoiding Google’s aggressive AI integration. Search results in DuckDuckGo are presented in a clean, traditional format emphasizing text links, and the interface does not emphasize AI features or AI-generated summaries. While DuckDuckGo does provide some AI-powered features through partnerships, these are entirely optional and users must explicitly choose to interact with them.

For users switching from Google to DuckDuckGo, the primary trade-off involves accepting that search result quality and comprehensiveness may differ from Google’s results, as DuckDuckGo’s independent crawler does not index as many pages as Google’s. Additionally, DuckDuckGo’s result ranking algorithm operates differently than Google’s, sometimes producing results that feel less relevant to users accustomed to Google’s approach. However, many users find that DuckDuckGo’s results suffice for most information needs while simultaneously addressing concerns about privacy, personalization, and unwanted AI integration. DuckDuckGo can be set as the default search engine in virtually all browsers and is available across all platforms.

Startpage: Google Results with Privacy Intermediation

Startpage functions as a privacy-preserving proxy for Google Search, forwarding user searches to Google while stripping identifying information such as IP addresses, device identifiers, and location data from the request. This approach allows Startpage users to access Google’s search results and indexing quality while avoiding Google’s tracking and personalization mechanisms. Crucially for users concerned about AI Overviews, Startpage’s intermediation process and result presentation often excludes or minimizes AI Overview elements, providing users with traditional search results more similar to how Google appeared before widespread AI integration. Startpage operates under strict privacy regulations, including compliance with European GDPR requirements and data protection standards. The service functions as a comprehensive alternative that requires no local configuration or custom search engine setup; users simply visit Startpage.com and search as they normally would on Google.

The primary limitation of Startpage involves users trusting an intermediary service with their search queries, even though Startpage’s privacy policy and design minimize the information the company itself can collect. Additionally, Startpage’s intermediary approach occasionally introduces slight latency into search results delivery.

Ecosia, Brave Search, and Other Privacy-Centric Alternatives

Ecosia presents an environmentally-focused alternative search engine that utilizes advertising revenue to fund reforestation projects, with the service donating approximately 60 percent of its generated revenue to tree-planting initiatives. From a functionality perspective, Ecosia provides traditional search results without AI Overviews or aggressive personalization, appealing to users who want to avoid AI while supporting environmental initiatives. Brave Search, operated by the Brave browser company, provides an independent search index and results without tracking or profiling, with an optional AI feature that users can activate if desired but which remains disabled by default. Kagi offers a premium, ad-free search experience with strong privacy protections and customization options allowing users to rank or suppress specific websites in their results. Each of these alternatives trades off some aspects of Google’s search quality and comprehensiveness for improved privacy, reduced AI integration, or other benefits aligned with specific user values.

Regulatory Developments and Future Publisher Opt-Out Mechanisms

UK Competition and Markets Authority Interventions

The United Kingdom’s Competition and Markets Authority (CMA) has undertaken regulatory review of Google Search, culminating in proposed conduct requirements that address long-standing concerns about how Google utilizes publisher content in AI-related features. These proposed requirements include provisions explicitly allowing website publishers and content creators to opt out of having their content utilized in AI Overviews, AI Mode, and other generative AI services while maintaining their visibility in traditional Google Search results. The CMA’s proposed opt-out mechanism must be implementable at both site-wide and page-level granularity, and the regulations explicitly prohibit Google from penalizing or downranking websites that choose to opt out of AI features. Additionally, the CMA has proposed requirements that Google provide clear attribution and sourcing information whenever publisher content appears in AI-generated summaries, ensuring users understand which publishers contributed to the AI-generated answer.

Google has responded to these regulatory proposals by announcing that it is exploring updates to provide website owners with controls to specifically opt out of Search generative AI features. However, Google has simultaneously cautioned that any new controls must not “break” search in a way that creates a fragmented or confusing user experience, and the company emphasizes that AI has been core to Google Search functionality for more than a decade. This regulatory development remains in consultation phase as of early 2026, with the CMA accepting input from stakeholders and determining whether to formally codify these requirements. Publishers and content creators have expressed both support for the proposed opt-out mechanisms and skepticism that behavioral remedies focusing on opt-outs will prove sufficient without more structural separation of Google’s AI crawling from its traditional search crawling.

Emerging Publisher Controls and Compliance Mechanisms

Google has stated its willingness to build upon its existing framework of content controls, including robots.txt, Google-Extended, and featured snippet controls, to provide new mechanisms specifically allowing opt-out from AI Overviews. The actual implementation of these controls remains forthcoming, with timelines and technical specifications still being determined through regulatory consultation. Once implemented, these publisher-side controls will allow website owners to prevent their content from being synthesized into AI Overviews without preventing their content from appearing in traditional Google Search results. The effectiveness of these controls will be monitored by the CMA, with non-compliance potentially resulting in penalties up to 10 percent of Google’s global revenue.

For individual users, these regulatory developments suggest that future official mechanisms for limiting AI may eventually become available, though the timeline and specifics remain uncertain. Users can support these regulatory efforts by providing feedback to Google about their concerns with AI Overviews, and through engagement with regulatory bodies where possible.

Technical Limitations, Maintenance Challenges, and Long-Term Viability

The Impermanence of Workarounds and Google’s Update Cycle

One fundamental challenge facing users attempting to disable AI results through workarounds such as the udm=14 parameter involves the impermanence and fragility of these solutions in response to Google’s continuous updates and algorithmic changes. The udm=14 parameter represents an undocumented Google Search feature that the company has not publicly acknowledged or committed to maintaining, meaning that Google could disable it at any point without warning or justification. Similarly, browser extensions that hide AI Overviews depend on specific HTML element structures and CSS selectors that remain stable; when Google redesigns its search results page layout, extensions frequently break and require developer updates to restore functionality. Browser updates and security patches occasionally reset or modify custom search engine configurations, requiring users to verify and potentially reconfigure their settings. The reality that no true, permanent, user-controlled opt-out currently exists means that any workaround carries the inherent risk of becoming non-functional with insufficient warning.

Privacy Considerations and Data Collection Continuing

Users should recognize that implementing workarounds to remove AI Overviews from their view does not prevent Google from utilizing their search data for AI model training or other purposes. The udm=14 parameter and Web filter only affect the visual presentation of search results; the underlying search query is still transmitted to Google and recorded in their systems. Users concerned about data collection should combine AI-disabling strategies with privacy-focused approaches such as disabling Web & App Activity, using incognito mode, utilizing VPNs, and considering alternative search engines entirely. Alternative search engines such as DuckDuckGo and Startpage address the data collection concern more fundamentally by reducing the information Google receives about user searches.

Your Google, AI-Free

The transformation of Google Search through the integration of AI-generated summaries represents one of the most consequential changes to the search experience since Google’s original algorithm, with implications extending far beyond simple user interface modifications to affect traffic to websites, information quality, environmental impact, and fundamental questions about how the internet’s discovery mechanisms should function. While Google currently does not provide users with a straightforward, system-wide toggle to disable AI Overviews, a growing ecosystem of workarounds has emerged, ranging from the simple manual use of the Web filter to more sophisticated technical approaches such as custom search engine configuration using the udm=14 parameter. These workarounds provide functional alternatives to traditional AI-free search, though each carries its own limitations regarding permanence, ease of implementation, and cross-device consistency.

For users seeking comprehensive solutions to avoiding AI in search without accepting any technical limitations, transitioning to alternative search engines such as DuckDuckGo, Startpage, or Ecosia represents the most robust approach, providing genuine independence from Google’s AI features while simultaneously addressing broader privacy concerns. For users who prefer to maintain access to Google’s search results while minimizing AI integration, implementing the custom search engine approach with the udm=14 parameter across desktop browsers or using Firefox with custom search configuration on mobile devices provides reliable, semi-permanent functionality. Users who value simplicity and prefer avoiding technical configuration should prioritize the Web filter approach for individual searches or consider installing dedicated browser extensions designed to automatically hide AI Overviews.

Regulatory developments from the United Kingdom’s Competition and Markets Authority and potential future regulatory actions in other jurisdictions may eventually result in more robust, officially-supported controls allowing users and publishers to opt out of AI features. In the interim, users concerned about AI in search results have multiple practical options available, each suitable for different technical comfort levels, privacy priorities, and usage patterns. The landscape of AI in Google Search will continue evolving throughout 2026 and beyond, with emerging agentic search features, deeper AI integration into other search functions, and regulatory responses all shaping how users will interact with search results in the coming years. Staying informed about changes to available workarounds, new tools and extensions, and regulatory developments will remain essential for users committed to maintaining agency over their search experience in an increasingly AI-centric search ecosystem.