Key Findings Summary: Google has integrated artificial intelligence features throughout its search platform, including AI Overviews, AI Mode, and Gemini chatbot integration, creating multiple layers of AI-driven content that users must navigate to obtain traditional search results. Following investigative journalism revealing that Google’s AI Overviews provided misleading health information capable of causing serious harm, users have increasingly sought methods to disable these features across all platforms. While Google has not provided official settings to completely remove AI from search results, multiple effective technical solutions have emerged, ranging from simple URL parameter modifications to comprehensive browser alternatives that strip away Google’s AI features entirely. These solutions demonstrate varying levels of complexity and accessibility, with options available for desktop browsers, mobile devices, and users prioritizing privacy.
Understanding the Scope of Google’s AI Integration in Modern Search
Google’s integration of artificial intelligence features into its search ecosystem has been extensive and multifaceted, with the company introducing AI-powered elements across numerous search query types and user interfaces. The most visible manifestation of this integration is the AI Overview feature, which generates and displays summarized responses at the top of search results, ostensibly providing users with quick answers without requiring them to visit individual websites. This feature represents a significant departure from traditional Google search functionality, which focused on presenting ranked links to relevant web pages. The AI Overviews leverage large language models to synthesize information from multiple sources, creating what Google positions as convenient, contextual summaries for users seeking rapid answers to their queries.
Beyond AI Overviews, Google has aggressively promoted AI Mode, an experimental search feature available through Search Labs that transforms the search experience into a conversational interface more akin to ChatGPT than traditional web search. When activated, AI Mode responds to questions directly rather than providing lists of webpage links, allowing users to ask follow-up questions and maintain conversation history. Additionally, Google has integrated Gemini, its advanced AI chatbot assistant, directly into the Chrome browser interface, with a dedicated button appearing in the top-right corner of the browser window that users cannot easily hide or disable. This layered approach to AI integration means that users wishing to maintain a traditional search experience must navigate multiple features across different interfaces, each designed to be prominently visible and encourage usage.
The ubiquity of these AI features reflects Google’s strategic commitment to positioning itself as an AI-first technology company. Google has announced new features specifically aimed at improving search for healthcare use cases, including improved overviews and health-focused AI models. However, this aggressive push toward AI integration has generated significant user resistance, with many individuals expressing frustration about the inability to opt out of these features through official settings. Users report that AI Overviews frequently appear without requested activation, cluttering search results and obscuring traditional web links that previously formed the core of Google’s search experience. The company’s integration of AI features has proven so comprehensive that many users feel forced to adopt workarounds and technical modifications simply to maintain their preferred search experience.
The Health Misinformation Crisis and Public Response
The most significant catalyst for widespread interest in disabling Google AI features has been investigative journalism exposing serious flaws in Google’s health-related AI Overviews. The Guardian investigation, published in January 2026, systematically tested health-related queries and identified multiple cases where AI Overviews provided dangerously inaccurate medical information. One particularly alarming example involved liver function tests, where Google’s AI Overviews provided reference ranges without accounting for critical factors such as nationality, sex, ethnicity, or age that substantially affect what constitutes a “normal” result. Health experts warned that such oversimplifications could lead patients to incorrectly conclude their test results were normal when they actually indicated serious liver disease requiring medical intervention.
The investigation further documented serious errors in cancer screening information, where AI Overviews incorrectly identified tests for specific types of cancer, potentially causing patients to miss critical screening opportunities. Mental health queries yielded particularly troubling results, with experts from organizations like Mind describing AI summaries for conditions such as psychosis and eating disorders as containing “very dangerous advice” that could lead people to avoid seeking professional help entirely. These were not edge cases or isolated technical glitches but rather systematic failures affecting a significant portion of health-related searches. Analysis of search result patterns revealed that AI Overviews appear in up to 30% of all searches, with the proportion even higher for health-related queries marked as “Your Money, Your Life” (YMYL) content requiring heightened accuracy standards.
What made these failures particularly alarming was their variability and inconsistency. The same health query conducted at different times could produce different AI-generated summaries, pulling from different sources and providing contradictory advice. This unpredictability undermines trust in the feature and increases the risk that inaccurate information influences critical health decisions. Sophie Randall, director of the Patient Information Forum, stated that “Google’s AI Overviews can put inaccurate health information at the top of online searches, presenting a risk to people’s health.” The British Liver Trust characterized the removal of AI Overviews for specific liver-related queries as “excellent news,” while simultaneously emphasizing that the problem extended far beyond individual search terms, affecting the entire category of health information provided by AI.
Google’s response to these allegations demonstrated the company’s defensive posture regarding AI accuracy. The company disputed several specific examples, claiming they were based on incomplete screenshots and that upon review, the cited sources linked to “well-known, reputable sources” and recommended seeking expert advice. Google argued that the “vast majority” of AI Overviews are “factual and helpful” and that its AI Overviews’ accuracy is “on a par” with other search features, including featured snippets. However, this response satisfied neither health organizations nor the growing segment of users concerned about relying on AI summaries for critical information. Following the publicity surrounding these failures, Google did remove AI Overviews for specific liver-related queries but notably did not address the broader systemic issues affecting health searches.
Desktop Solutions: Utilizing the &udm=14 URL Parameter
The most effective and widely adopted technical solution for disabling Google AI Overviews on desktop computers involves modifying the browser’s default search engine to append a special URL parameter to all Google searches. The parameter in question, &udm=14, forces Google’s search interface to display what the platform calls the “Web” tab exclusively, which contains only traditional web results without any AI-generated summaries. This remarkably simple technical fix works across all modern desktop browsers including Chrome, Firefox, Edge, and Safari, requiring only basic browser configuration knowledge to implement. The origin and precise technical explanation of what &udm=14 does remains somewhat mysterious, with sources noting that while the parameter reliably produces the desired result, the meaning of the acronym “udm” is unclear.
To implement this solution in Google Chrome, users must navigate to the browser’s search engine settings by typing chrome://settings/searchEngines in the address bar, which opens a specialized configuration page. Within this page, users access the “Manage Search Engines and Site Search” section and click the “Add” button under Site Search. A dialog box then appears requiring users to fill in three fields: the search engine name (commonly labeled “Google Web” or “AI Free Web”), a keyboard shortcut (typically “@web” or similar), and critically, the complete URL string: {google:baseURL}search?q=%s&udm=14. The %s placeholder represents the search term entered by the user, while the &udm=14 parameter remains constant, instructing Google to bypass AI features and return to traditional search results.
After creating this custom search engine entry, users must make it the default search option by clicking the three-dot menu next to the newly created entry and selecting “Make Default. This configuration change ensures that whenever a user initiates a search from the Chrome address bar (the Omnibox), the browser automatically appends the &udm=14 parameter to the query and displays only web results without AI Overviews. Users should note that conducting searches directly on google.com without using the configured search engine will still produce AI Overviews, as the configuration only affects searches initiated through the browser’s address bar. This distinction is important for users accustomed to navigating directly to the Google homepage for searches.
Firefox users can achieve the same result through a similar but slightly different configuration process. Within Firefox settings (accessed via the three-dot menu and selecting Settings), users navigate to the Search section and click “Add” to create a custom search engine. The required fields are Search engine name (e.g., “Google without AI”), Engine URL (https://www.google.com/search?client=firefox-b-1-d&channel=entpr&udm=14&q=%s), and optionally an alias keyword. Users then select this custom search engine as their default search engine from the “Default Search Engine” dropdown menu in the Search settings page. The Firefox approach requires including additional parameters related to Firefox’s client identification, though the core &udm=14 parameter performs the same function as in Chrome.
Edge and other Chromium-based browsers follow the Chrome configuration process almost identically, as they share the underlying Chromium codebase. Safari users on macOS can accomplish similar results through third-party extensions or by using the CSE (Customize Search Engine) extension, which allows creating custom search engines with URL parameters. However, Safari’s limitations regarding custom search engine configuration mean that native solutions are less straightforward compared to Chrome or Firefox. A website called tenbluelinks.org has emerged as a centralized resource providing instructions and simplified configuration for implementing the &udm=14 solution across multiple browsers and platforms.
Mobile Solutions: Conditional Availability and Workarounds
Disabling Google AI Overviews on mobile devices presents significantly greater challenges than on desktop computers, as mobile browsers offer substantially fewer configuration options and architectural constraints limit users’ ability to modify default search behaviors. The fundamental issue stems from the fact that most mobile browsers, particularly on iOS, do not permit users to manually edit custom search engine configurations or append URL parameters to search queries in the same manner available on desktop browsers. Google has not provided any official method to disable AI Overviews on iOS devices, leaving Apple device users with limited technical options compared to their Android counterparts.
For Android users employing Chrome as their mobile browser, an effective workaround has been developed through the previously mentioned tenbluelinks.org website. The process begins with the user opening a new tab in mobile Chrome and performing any search on google.com—a step that cannot be skipped as it establishes the search history required for the subsequent configuration to function. After this initial search, users tap the three-dot menu in the bottom-right corner of the Chrome interface, navigate to Settings, and select Search Engine. Within this menu, a recently visited option labeled “Google Web” appears, derived from the website’s configuration instructions. Selecting “Google Web” as the default search engine then ensures that all subsequent searches conducted through Chrome’s address bar utilize the &udm=14 parameter, bypassing AI Overviews.
The tenbluelinks.org solution leverages OpenSearch, a standardized XML format that instructs browsers to append specific URL parameters to search queries. When users visit the website on their mobile device and follow the configured prompts, the browser automatically adds the &udm=14 parameter through the OpenSearch protocol. Notably, the tenbluelinks.org website and its administrators have no access to users’ search queries, as all searches are sent directly to Google’s servers without routing through the configuration website. The website is open-source, allowing privacy-conscious users to verify the code and confirm that no tracking occurs.
Firefox on Android offers another avenue for mobile users seeking to disable AI Overviews. The desktop Firefox configuration process described previously can be replicated on Android by accessing Firefox settings, navigating to Search, and manually adding a custom search engine with the appropriate URL string containing the &udm=14 parameter. Unlike Chrome on Android, Firefox permits users to directly configure custom search engines on mobile devices without relying on external websites or workarounds. Users must fill in the engine name, select a default setting, and enter the complete URL string, after which the browser will utilize the configured engine for all subsequent searches.
Safari users on iOS face the most restricted mobile environment, as Apple’s browser does not support custom search engine configurations or third-party search engine modifications to the same extent as competing browsers. Some sources suggest installing extensions designed to modify search behavior, though the effectiveness and compatibility of such solutions varies, and Apple’s constraints on iOS extension capabilities limit their functionality compared to desktop implementations. For iOS users seeking to consistently avoid AI Overviews, switching to an alternative mobile browser such as Firefox or Chrome may be the most practical solution, though this requires departing from Apple’s default browser integration.

Browser Extensions: Automated Solutions for Desktop Users
Beyond custom search engine configuration, numerous browser extensions have been developed to automatically hide or prevent Google AI Overviews without requiring users to modify their default search engine settings. These extensions provide alternative solutions for users preferring a simpler implementation process or who conduct searches directly on google.com rather than through the browser’s address bar. The most prominent extension is “Bye Bye, Google AI,” created by Avram Piltch, editor-in-chief at Tom’s Hardware, which operates using CSS to set AI Overview elements to display:none, effectively hiding them from the search results page. This extension has achieved significant user adoption, with over 429 user ratings and an average rating of 4.4 out of 5 stars on the Chrome Web Store.
The “Bye Bye, Google AI” extension provides users with granular control over what elements to hide from Google Search results. In addition to AI Overviews, which are hidden by default, users can toggle options to hide videos, discussion blocks, shopping blocks, “People Also Ask” sections, and sponsored blocks. This flexibility allows users to customize their search experience beyond simply removing AI elements, effectively recreating the cleaner search interface many users preferred before Google’s recent feature proliferation. The extension supports 19 languages, including Spanish, Mandarin, and Arabic, making it accessible to international users. Importantly, Piltch developed this extension during a weekend and made it available for free, representing a community response to Google’s unwanted feature integration.
Additional browser extensions addressing similar concerns include “Hide Google AI Overviews,” which boasts 942 user ratings and an average 4.2 star rating. This extension specifically targets AI Overviews using CSS hiding techniques and explicitly states that it does not collect or utilize user data, addressing privacy concerns that might arise from installing third-party browser modifications. Similarly, “Disable AI Overview | Turn Off AI Overview” provides comparable functionality with 98 user ratings and focuses specifically on hiding AI Overview sections from search results. These extensions operate through straightforward CSS modifications that do not intercept, analyze, or store any user search data, making them considerably less invasive than other browser modifications.
However, browser extension-based solutions carry inherent limitations and vulnerabilities. Extensions are vulnerable to breaking if Google modifies its CSS class names or HTML structure underlying the search results page. Google can and does periodically update its interface, and when such changes occur, extension developers must respond with updated versions to maintain functionality. Users relying on extensions may suddenly find them non-functional after Google updates without receiving advance notice. Additionally, browser extensions require active maintenance by developers who may lose interest in the project over time, potentially leaving users with abandoned extensions that cease functioning. For these reasons, technical experts often recommend the &udm=14 custom search engine approach as more stable and maintainable than extension-based solutions, despite requiring slightly more initial configuration effort.
Alternative Search Engines and Privacy-First Approaches
Users seeking to completely avoid Google’s AI features may consider switching to alternative search engines that either do not employ AI Overviews or provide users with straightforward options to disable AI summaries. DuckDuckGo, a privacy-focused search engine, has incorporated AI features into its search experience but has thoughtfully provided an exceptionally simple method for users to disable them entirely. By visiting noai.duckduckgo.com instead of the standard duckduckgo.com, users access a version of DuckDuckGo with all AI features automatically disabled. This approach turns off AI-generated answers, filters AI-generated images from results by default, and disables Search Assist, which uses natural language processing to generate brief answers based on web content. The noai.duckduckgo.com subdomain represents an elegant solution acknowledging user concerns about AI summaries while maintaining the core search functionality that users value.
Beyond DuckDuckGo, emerging AI-native search engines provide superior alternatives for users willing to embrace AI-powered search when implemented thoughtfully. Perplexity stands out as the leading AI search engine, offering a conversational interface that allows follow-up questions, organization of searches through workspaces called Spaces, and transparent citation of sources. Unlike Google’s approach, where AI summaries are automatically presented, Perplexity operates as an inherently conversational system where users actively choose to engage with AI synthesis rather than having it imposed upon them. The platform offers both free quick searches and paid Pro and Max plans providing access to advanced AI models and deeper research capabilities. Perplexity’s business model, based on transparent paid subscription tiers, contrasts sharply with Google’s approach of using AI summaries as a mechanism to maintain user engagement on Google’s properties and reduce traffic to external websites.
Brave Search offers another alternative that successfully balances traditional web search with AI features while respecting user preferences. Brave provides AI Answers that deliver concise summary answers alongside traditional web results, allowing users to access AI-generated summaries when desired without having them forced upon them. Importantly, Brave conducts searches without tracking users, does not build profiles about individual users, and shows ads related to search queries rather than targeting users based on behavioral data. The company has invested in privacy-first implementations of AI features, using open-source models where possible and emphasizing transparency about how AI features function. For users prioritizing privacy without completely abandoning AI capabilities, Brave represents a compelling option.
Consensus serves a specialized niche by focusing specifically on academic and scientific research, searching peer-reviewed journals and scholarly articles rather than the broader web. For users conducting research in academic contexts where source credibility and evidence-based information are paramount, Consensus provides substantial advantages over general-purpose search engines. The platform’s focus on peer-reviewed sources inherently reduces the risk of the hallucinations and misinformation that plague general AI summaries. Similarly, iAsk and Komo provide alternative AI search experiences with different strengths and specializations, offering users genuine choices rather than the single-option approach Google has adopted.
Advanced Solutions: Alternative Browsers and Comprehensive Privacy Approaches
For users seeking the most complete solution to Google’s pervasive AI integration, particularly those concerned about Google’s data collection practices beyond just AI Overviews, alternative browsers provide comprehensive alternatives. Ungoogled-Chromium is a community-maintained fork of Google’s open-source Chromium browser that removes all Google-specific services, dependencies, and functionality. The project strips out Google Safe Browsing, disables Google Domain detection, removes Google Cloud Messaging, eliminates Google Hotwording, and blocks internal requests to Google domains through a process called domain substitution. The result is functionally equivalent to regular Chromium but without the integration with Google’s ecosystem that enables extensive data collection and services integration.
Installing and configuring Ungoogled-Chromium requires more technical proficiency than standard browser installation, as the browser does not automatically include many features present in Google Chrome, particularly extension support through the Chrome Web Store. However, the NeverDecaf project has developed a solution through the chromium-web-store extension, which enables users of Ungoogled-Chromium to install extensions directly from the Chrome Web Store by changing a flag at chrome://flags/#extension-mime-request-handling to “Always prompt for install”. This workaround restores extension compatibility, allowing users to leverage the extensive Chrome Web Store ecosystem while maintaining the privacy benefits of Ungoogled-Chromium’s removed Google integrations.
A newer alternative browser called Helium addresses many of Ungoogled-Chromium’s usability limitations by building upon Ungoogled-Chromium’s codebase while adding modern quality-of-life features. Helium provides a minimal design, native support for Progressive Web Apps (PWAs), Chrome Web Store extension compatibility without requiring manual configuration, automatic updates, and tab groups—features that were absent or broken in Ungoogled-Chromium. Most importantly for users seeking to avoid AI integration, Helium completely removes AI Mode and Gemini from the browser, providing a cleaner interface entirely free of Google’s aggressive AI promotion. Helium is available for macOS, Windows, and Linux, and its developers explicitly prioritize privacy by anonymizing all internal requests to the Chrome Web Store, preventing Google from tracking extension downloads or using that data for advertising.
Both Ungoogled-Chromium and Helium allow users to manually configure search engines to use &udm=14 or alternative search engines like DuckDuckGo, providing comprehensive solutions that address both the browser-level AI integration concerns and search result-level AI Overviews. For users experiencing frustration with Google’s “enshittification” (as some technical commentators describe the progressive degradation of Google’s product through advertising and promotional features), these alternative browsers represent the most thorough escape from Google’s ecosystem.
Disabling Gemini Integration and Chrome-Level AI Features
Beyond search-specific features, Google has integrated AI deeply into the Chrome browser itself, making it difficult for users to use the browser without encountering AI features and buttons. The Gemini button, which appears in Chrome’s top-right corner by default, provides quick access to Google’s AI chatbot but remains visible even after users unpin it. To fully disable Gemini visibility, users must navigate to chrome://settings/ai/gemini and toggle off all Gemini-related options, including “Show Gemini at the top of the browser,” “Show Gemini in system tray and turn on keyboard shortcut,” and “Page content sharing,” which sends content from opened tabs to Gemini for analysis.
The AI Mode button that appears in Chrome’s address bar (Omnibox) when users enter search queries requires disabling through experimental flags rather than standard settings. Users must navigate to chrome://flags in the browser, search for “AI mode,” and set “AI Mode Omnibox entrypoint” to “Disabled.” Additionally, users should enable “AI Entrypoint Disabled on User Input” and disable “Omnibox Allow AI Mode Matches” to ensure AI mode remains fully disabled across all entry points. However, Chrome’s experimental flags are not persistent across browser updates; Google’s automatic update cycle, which occurs approximately every 2-4 days, resets flags to their default values, necessitating repeated manual disabling of these features. This design decision effectively forces users to continually re-disable features rather than providing permanent settings, leading some to characterize Google’s approach as deliberately making AI features impossible to permanently turn off.
For Windows users seeking permanent disabling of AI features, more sophisticated solutions involving the Windows Registry can prevent Chrome updates from resetting flags. Technical documentation describes modifying registry entries related to Chrome policies, though such modifications require advanced technical knowledge and willingness to edit system-level configurations. This represents a significant barrier for average users and highlights how Google has made disabling AI features progressively more difficult with each browser version update.

Avoiding AI-Generated Content: The Broader “Slop” Problem
Beyond disabling AI Overviews in search results, users increasingly face a related challenge: avoiding AI-generated content appearing throughout search results. This concern spawned the development of Slop Evader, a browser extension designed to filter out content generated after ChatGPT’s public release on November 30, 2022. The extension works by restricting search results to content published before the widespread adoption of generative AI, theoretically ensuring that all returned content was created by humans rather than generated by AI systems. This represents an acknowledgment by some users that the broader internet quality problem extends beyond Google’s own summaries to the proliferation of AI-generated content throughout the web created using tools like ChatGPT, Gemini, Claude, and countless other language models.
The Slop Evader approach reflects concerns articulated in “dead internet theory,” which posits that the quality of the internet as an information retrieval tool has deteriorated substantially since the public uptake of generative AI. Rather than simply hiding AI features from search results, users employing Slop Evader attempt to access a version of the internet prior to AI-generated content proliferation. This solution acknowledges a fundamental problem: even if users successfully disable Google’s AI Overviews, they still encounter AI-generated content throughout search results, as many websites and content creators have begun replacing human-authored content with AI-generated alternatives. For research and information-seeking purposes where authenticity and human creation matter, Slop Evader provides a technical mechanism for preferentially accessing pre-AI content, though it inherently limits access to recent information and current events.
Limitations of Available Solutions and Ongoing Challenges
Despite the existence of multiple technical solutions for disabling Google AI features, significant limitations and challenges persist for many users. First, the absence of official settings means that all current solutions represent workarounds rather than legitimate configuration options that Google has designed and committed to maintaining. Google could theoretically change its URL structure, modify CSS class names, or alter how search parameters function, breaking all currently functional solutions with minimal warning. The company has shown willingness to make such changes when they served business objectives, creating legitimate concerns among users about the permanence of available workarounds.
Second, the fragmentation across platforms creates confusion and prevents users from achieving consistent experiences across devices. A user who successfully configures Chrome on Windows to avoid AI Overviews through the &udm=14 parameter might still encounter AI Overviews on Safari, in mobile browsers, or on devices they do not personally control. This fragmentation reflects the fact that solutions remain inherently platform-specific and browser-dependent, requiring different configurations for each combination of device and browser a user employs.
Third, mobile solutions remain substantially less elegant and more difficult to implement than desktop solutions, creating a secondary digital divide where desktop users can achieve consistent AI-free search experiences while mobile users—increasingly the majority of internet users globally—must accept more compromises. The technical barriers to configuring custom search engines on iOS remain insurmountable for most users, effectively leaving iPhone and iPad users with limited options beyond switching to alternative browsers wholesale.
Fourth, the educational burden falls entirely on users to discover and implement these solutions. Google has not communicated the existence of the &udm=14 parameter to general users, has not provided official documentation on disabling AI features, and continues promoting AI features aggressively through interface design choices. This stands in sharp contrast to how responsible technology companies typically sunset features, providing users with advance notice and clear migration paths. Users must actively seek information about workarounds, typically discovering them through online forums, YouTube tutorials, and specialized websites like tenbluelinks.org.
Finally, these solutions do not address the underlying business model incentive that drives Google’s aggressive AI feature promotion. Google profits from keeping users within its ecosystem, where they can be served advertisements and tracked across the web. AI Overviews serve this business objective by reducing user clicks to external websites and keeping engagement on Google’s properties. Unless Google’s business model or competitive pressures change substantially, the company has limited incentive to provide legitimate ways for users to opt out of these features, and every incentive to continue making opt-outs progressively more difficult.
Google’s Response and the Path Forward
Google has responded to criticism regarding AI Overviews with a public relations approach emphasizing the features’ benefits while making selective adjustments to address the most egregious examples of misinformation. Following the Guardian investigation into health misinformation, Google removed AI Overviews for specific liver-related search queries but declined to implement broader systemic changes affecting health information more generally. This selective removal approach frustrated health organizations, with the British Liver Trust noting that targeting individual search terms represented “nit-picking” that failed to address the “bigger issue of AI Overviews for health.”
Google’s statement that “in many instances, the information was not inaccurate and was also supported by high quality websites” reflects a defensive posture that misses the fundamental problem: AI-generated summaries can obscure important nuances, lack appropriate context, and oversimplify complex medical information in ways that high-quality individual websites would not. The fact that AI Overviews cite reputable sources does not guarantee that the synthesized summary accurately represents the full context of those sources or accounts for important limitations and qualifications present in the original material.
Looking forward, three potential trajectories exist for Google’s AI integration in search. First, the company could continue its current aggressive approach of expanding AI features while making disabling them progressively more difficult, betting that most users either accept the features or lack the technical sophistication to implement workarounds. This approach maximizes the business benefits of AI-powered engagement but risks continued negative publicity and regulatory scrutiny, particularly if health-related misinformation cases proliferate.
Second, Google could make modest adjustments to address the most concerning use cases while preserving AI Overviews for lower-stakes queries. This approach might involve disabling AI Overviews for all health, finance, and legal queries (YMYL content) while maintaining them for entertainment, travel, and general knowledge queries where accuracy concerns matter less. Such an approach would address the most serious harm concerns while preserving much of the engagement benefit that AI features provide.
Third, Google could implement genuine user choice mechanisms, providing accessible settings to disable all AI features comprehensively across all platforms. This approach would require the company to acknowledge that some users prefer traditional search and accept that accommodating this preference serves the company’s long-term reputation and regulatory interests. This third option seems least likely given Google’s current trajectory and business incentives.
Your AI-Free Search: Final Word
The emergence of multiple technical solutions for disabling Google AI results represents an encouraging example of user agency and community problem-solving in response to corporate technology impositions. Users have not passively accepted Google’s aggressive AI integration but have actively developed, shared, and refined workarounds that restore some control over their search experiences. The existence of the &udm=14 parameter, the proliferation of browser extensions, the development of alternative browsers, and the community resources like tenbluelinks.org demonstrate the technical sophistication and creativity of users unwilling to accept Google’s preferred defaults.
However, the fact that such workarounds are necessary at all reflects a troubling dynamic in the technology industry: large companies introducing features that benefit their business models while making genuinely disabling them difficult or technically complex for average users. The burden of maintaining knowledge about workarounds, implementing them across multiple devices and browsers, and re-implementing them after browser updates represents a constant cognitive and technical load that should not fall on individual users.
For users seeking immediate solutions, the &udm=14 custom search engine configuration on desktop provides the most reliable, maintainable, and technically sophisticated approach, though users on mobile platforms should investigate alternatives like DuckDuckGo’s noai subdomain or switching to Firefox for greater configuration flexibility. Browser extensions provide convenient alternatives for users preferring simplicity over robustness, while users seeking comprehensive privacy solutions should seriously evaluate alternative browsers like Helium or Ungoogled-Chromium.
More broadly, the widespread interest in disabling AI features highlights that artificial intelligence integration should not be unilateral corporate decisions imposed without user consent. Responsible technology companies should provide clear, accessible mechanisms for users to opt out of AI features, prominently document these mechanisms, and maintain their functionality across updates. The fact that Google has done none of these things suggests that external pressure—whether through regulatory action, competitive threats, or continued user resistance—may be necessary to compel more user-centric approaches to AI feature deployment.
As AI capabilities continue advancing and integration into everyday technologies deepens, establishing norms around user choice and transparency in AI system deployment becomes increasingly critical. The solutions documented in this report demonstrate that users will find ways to maintain control over their digital experiences when companies fail to provide legitimate options, but ideally, such workarounds would not be necessary, and companies would design their products with genuine respect for user agency and choice from the outset.