Why Is Google AI So Bad? How AI Mode Affects Search and SEO

Introduction

If you have been using Google Search lately, you may have noticed something different. Instead of a clean list of website links, Google now often shows a big block of text at the top of your results. This is called an AI Overview, and it is powered by Google’s artificial intelligence technology.

Many people have typed the phrase “Why is Google AI so bad?” into search engines, social media, and forums. They are frustrated. They feel like Google has changed – and not for the better. Some users get wrong answers from Google’s AI. Others are angry because their websites are no longer getting visitors. Businesses that depended on Google traffic are watching their numbers drop.

This article is designed to help you understand what is happening. We will explore what Google AI actually is, why so many people think it is failing, how AI Mode changes the way people search, and what website owners and content creators can do to survive and thrive in this new world.

Whether you are a regular internet user, a blogger, a small business owner, or a marketing professional, this guide will explain everything in plain, easy-to-understand language.

Section 1: What Is Google AI and How Does It Work?

The Old Google vs. the New Google

To understand the problem, you first need to understand how Google Search used to work versus how it works today.

In the old days, when you typed a question into Google, the search engine would look through billions of websites and rank them based on a set of rules. The most relevant, trustworthy, and popular websites would appear at the top. You would then click on the links that looked most useful and read the content.

This system worked well for decades. Website owners invested time and money creating helpful content, knowing that Google would send them readers if their content was good enough. It was a fair exchange.

Enter Google’s AI Overviews

In 2023 and 2024, Google began rolling out a new feature called AI Overviews. By 2025, this feature became even more prominent with what Google calls “AI Mode.” Instead of just showing links, Google now generates a written answer to your question using artificial intelligence, and it places this answer directly at the top of the search results page.

The idea sounds helpful on the surface. Why click through multiple websites when Google can just tell you the answer right there? But in practice, this system has serious problems – and those problems affect everyone from regular users looking for accurate information to business owners who depend on website traffic.

How Google’s AI Generates Answers

Google’s AI Overviews and AI Mode are built on large language models, which are a type of artificial intelligence that has been trained on massive amounts of text data. These models do not actually “know” things the way a human expert does. Instead, they predict what words should come next based on patterns they learned during training.

This is an important distinction. When a human doctor answers a medical question, they draw on years of education and real-world experience. When Google’s AI answers the same question, it is essentially making an educated guess based on patterns in text. Sometimes that guess is correct. Sometimes it is dangerously wrong.

Key Insight: AI does not understand information – it predicts it. This is why AI-generated answers can sound confident even when they are completely incorrect.

Section 2: Why Is Google AI So Bad? The Real Reasons

The frustration around Google AI is real and well-documented. Here are the main reasons why so many users and experts believe Google AI is failing.

Reason 1: Factual Errors and Hallucinations

One of the most alarming problems with Google AI is that it sometimes makes up facts. In the technology world, this is called a “hallucination” – when an AI confidently states something that is false.

Shortly after Google launched its AI Overviews feature, there were many viral examples of the AI giving absurd or harmful answers. For instance, some users reported that the AI suggested adding glue to pizza sauce to help the cheese stick better. Others received advice that contradicted basic medical facts. In some cases, the AI appeared to cite real-sounding sources that did not actually exist.

These are not minor errors. When someone is searching for health advice, legal guidance, or financial information, an incorrect AI-generated answer can cause real harm. The fact that these answers appear prominently at the top of the page – with no obvious warning that they might be wrong – makes the problem even more serious.

Reason 2: Outdated and Unreliable Information

AI models are trained on data up to a certain point in time, known as a knowledge cutoff. After that date, the model does not automatically learn about new events, changed laws, updated medical guidelines, or other important developments.

When Google’s AI answers a question using outdated training data, it can give users information that was once correct but is now wrong. This is particularly dangerous in fast-changing fields like health care, technology, finance, and law.

Even when Google pulls from current web sources to supplement its AI answers, the process of summarizing and synthesizing that content can introduce errors or strip away important context.

Reason 3: Loss of Nuance and Context

Many topics are complicated. A good answer to a medical question might depend on a person’s age, health history, and other factors. A good answer to a legal question might depend on the jurisdiction and the specific circumstances. A good answer to a financial question might depend on someone’s income, goals, and risk tolerance.

AI Overviews flatten this complexity. They tend to give one-size-fits-all answers that ignore the nuances that make real expert advice valuable. Users who read these simplified summaries may feel they have received a complete answer when, in reality, they have only scratched the surface.

Reason 4: Over-Reliance on Low-Quality Sources

Google’s AI pulls information from across the web, but not all sources are created equal. Critics have noted that AI Overviews sometimes appear to draw from low-quality content farms, opinion pieces, or even satire websites as if they were authoritative sources.

In contrast, carefully researched articles from genuine experts sometimes get overlooked in favor of shorter, more easily digestible content that the AI can summarize quickly. This creates a perverse incentive where depth and accuracy are punished while surface-level simplicity is rewarded.

Reason 5: Users Are Clicking Less

Here is something that most regular users do not think about but that has massive implications: when Google’s AI answers a question directly on the search results page, users have far less reason to click on any website.

This might sound like a convenience for the user, but it has created a crisis for the entire web ecosystem. Websites that produce the content Google’s AI uses to generate answers are seeing their traffic collapse – even though their content is what made the AI’s answer possible in the first place.

This dynamic is part of why so many content creators, journalists, and small business owners feel that Google AI is “bad” – not just in terms of quality, but in terms of what it is doing to the broader internet.

Reason 6: Lack of Transparency and Source Attribution

When Google’s AI generates an answer, it sometimes includes small citation links, but these are easy to miss and not always clearly connected to the specific claims being made. Users often cannot tell which part of the AI’s answer came from which source.

This lack of transparency makes it difficult for users to verify information, and it makes it difficult for website owners to understand why their content is or is not being used by the AI. The whole system feels like a black box, and that opacity breeds distrust.

Real Talk: The frustration is not just about wrong answers. It is about a powerful system operating without enough accountability, transparency, or respect for the people whose work it depends on.

Section 3: What Is AI Mode and How Is It Different From Regular Search?

Understanding AI Mode

AI Mode is Google’s next major step in integrating artificial intelligence into its search experience. While AI Overviews added a generated summary at the top of traditional search results, AI Mode goes further by transforming the entire search interface into a conversational, AI-driven experience.

In AI Mode, Google behaves more like a chatbot. Instead of showing a list of links, it holds what feels like a back-and-forth conversation with the user. You can ask follow-up questions, refine your search, and get progressively more detailed answers – all without leaving the Google interface and without necessarily visiting any external website.

The Conversational Search Experience

Think of AI Mode like this: in the old Google, you were a researcher using a library catalog. You searched for books, found the ones you wanted, and went to read them. In AI Mode, you are talking to a librarian who reads all the books for you and gives you a summary.

On the surface, this sounds efficient. But consider what is lost. You no longer get to evaluate the original sources yourself. You no longer discover related content you were not expecting to find. You no longer have a reason to visit the actual library – or in this case, the actual websites.

Multi-Step Query Handling

One of the features Google highlights about AI Mode is its ability to handle complex, multi-step questions. For example, instead of searching for “best pizza restaurant” and then separately searching for “does it have gluten-free options” and then “what are the parking options nearby,” AI Mode can theoretically handle all of these as part of one continuous conversation.

In theory, this is impressive. In practice, it means that local businesses, restaurants, and service providers are increasingly invisible to users who never scroll down to see the traditional link-based results.

The Difference Between AI Mode and AI Overviews

AI Overviews: A summary box added at the top of traditional search results. Users can still see the regular links below. This has been active and widely rolled out since 2024.

AI Mode: A more immersive, fully conversational AI experience that replaces or significantly reduces the traditional link-based results. This represents a more dramatic shift in how Google Search functions.

Both features are controversial, but AI Mode represents a much more fundamental change to how search works – and therefore a much more significant threat to the websites, businesses, and creators who have built their presence around Google Search.

Section 4: How AI Mode Is Affecting SEO

What Is SEO and Why Does It Matter?

SEO stands for Search Engine Optimization. It is the practice of making your website, blog, or online content more likely to appear near the top of search results when people type in relevant queries. For the last two decades, SEO has been one of the most important tools in digital marketing.

Businesses, bloggers, journalists, and nonprofits have spent enormous amounts of time and money on SEO. They have written detailed articles, built reputable links, improved their website speed, and worked hard to understand what Google wants. And for a long time, this effort paid off in the form of organic search traffic – visitors who found their site through unpaid search results.

The Click-Through Rate Crisis

The most immediate and measurable impact of AI Overviews and AI Mode on SEO is the dramatic drop in click-through rates, or CTR. Click-through rate is the percentage of people who see your website in search results and then actually click on it.

Studies and anecdotal reports from website owners have shown significant drops in organic click-through rates since the rollout of AI features. When Google’s AI provides a complete-seeming answer at the top of the page, many users read that answer and stop searching. There is no reason to click on any website below.

This is sometimes called a “zero-click search” – a search where the user gets an answer without visiting any external website. Zero-click searches have been growing for years, but AI Mode is accelerating this trend dramatically.

Who Is Being Hit Hardest

Not all websites are being impacted equally. The content categories that are suffering the most are those that answer clear, factual questions – because these are exactly the types of questions AI is best at summarizing.

• How-to guides and tutorials
• Product reviews and comparison articles
• Medical and health information websites
• News aggregators and general information sites
• Local service business websites
• Recipe blogs and food content sites
• Finance and legal information portals

On the other hand, content that requires a unique human experience, real-time updates, or specialized community interaction is somewhat more protected – at least for now.

The E-E-A-T Problem

Google has long promoted its E-E-A-T framework, which stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Google claims that it rewards content from people who have real experience and genuine expertise. The idea is that the best content should come from people who actually know what they are talking about.

The irony is that AI-generated answers – including Google’s own AI Overviews – often struggle to meet the same E-E-A-T standards that Google requires of human-written content. An AI does not have personal experience. It cannot be held accountable. It cannot update its knowledge in real time. Yet it is now the first thing users see.

This has created a confusing situation for content creators. Google tells them to create authoritative, experience-based content. But then Google’s own AI summarizes and replaces that content, effectively bypassing the very expertise Google claims to value.

Keyword Research Is Changing

Traditional SEO involved researching which keywords people were typing into Google and then creating content optimized for those keywords. If you wrote the best article about “how to remove a stripped screw,” Google would presumably rank your article and send you readers.

In the AI Mode era, keyword research alone is no longer sufficient. Users are typing in longer, more conversational queries. They are asking follow-up questions. They are interacting with Google in ways that feel more like talking to a person than performing a database search.

This means that SEO professionals need to think less about isolated keywords and more about the full range of questions and intentions a user might have around a given topic. Content needs to be more comprehensive, more conversational, and more clearly structured so that even if the AI summarizes it, the original source is clearly valuable.

Featured Snippets Are Now Competing with AI

For years, one of the top prizes in SEO was a “featured snippet” – the box that sometimes appeared at the top of Google results with a brief answer to a question, pulled from a specific website. Getting a featured snippet was a major achievement because it put your content in the most visible position on the page.

AI Overviews have largely displaced featured snippets. Where Google used to highlight a specific, credible source by pulling a snippet from it, the AI now generates its own summary, often without giving the original source the same level of prominence. For many website owners, this has been a painful change to watch.

Industry observation: Many SEO professionals now describe Google’s AI features as “the biggest disruption to organic search since the introduction of paid ads.” The fundamental relationship between content creators and Google has been altered.

Section 5: The Impact on Content Creators and Businesses

Small Businesses Are Struggling

Consider a small plumbing company that invested years in building a helpful website full of guides about common plumbing problems. Their content explained how to fix a leaking faucet, what to do when pipes freeze, and how to choose a water heater. Over time, Google rewarded this content with high rankings, and the company received a steady stream of inquiries from homeowners who found them through search.

Today, when someone types “what to do when pipes freeze” into Google, the AI provides a detailed answer on the spot. The user reads it, feels satisfied, and never clicks on the plumbing company’s website. The company still paid to create that content. But Google is now using it – or similar content from across the web – to answer questions without sending the company any visitors in return.

Publishers and Journalists Are Under Threat

The media industry has already been struggling for years, as advertising revenue shifted from print and broadcast to digital platforms. Many news organizations rebuilt their business models around digital advertising, which depends heavily on website traffic.

AI Mode threatens this model directly. If Google can summarize a news article in a few sentences and display it to the user without them ever visiting the news website, the publisher gets no ad revenue, no subscription sign-ups, and no engagement. The publisher’s costs remain the same – reporters still need to be paid, investigations still need to be funded – but the revenue source evaporates.

Bloggers and Independent Content Creators

The rise of independent blogging and content creation was enabled in large part by Google Search. Someone with genuine expertise in a niche area – vintage watch repair, sourdough bread baking, urban chicken keeping – could build an audience by writing helpful content that Google would surface to people with relevant interests.

This path to an audience is now far more difficult. AI answers general questions that once drove discovery of new voices and specialized websites. Independent creators are competing not just with each other, but with Google itself.

The Data Harvesting Concern

There is a deeper ethical issue lurking beneath the surface of all this. Google’s AI learns from and summarizes content that was created by humans who never consented to have their work used in this way. A food blogger who spent years developing original recipes, photographing them beautifully, and writing detailed posts is now finding that Google’s AI can summarize their recipe in three sentences – without sending any traffic back to their site.

Many content creators and publishers feel that Google is extracting value from their work without providing fair compensation in return. This has led to lawsuits, legislative discussions, and growing calls for new regulations around how AI companies can use web content for training and inference.

Section 6: Is Google AI Actually Getting Better?

The Arguments in Google’s Defense

To be fair, it is worth considering Google’s perspective and the arguments made by those who believe AI Mode represents a genuine improvement.

Google argues that AI Overviews are most helpful for complex questions where users previously had to search multiple times to piece together an answer. For someone planning a trip, researching a medical condition, or trying to understand a complicated technical concept, a well-synthesized AI overview can genuinely save time.

Google has also acknowledged the early mistakes and claims to be continuously improving the accuracy and reliability of its AI answers. After the public embarrassment of high-profile errors in early 2024, Google reportedly made significant changes to reduce hallucinations and improve source quality.

Where AI Search Genuinely Helps

There are use cases where AI-powered search does provide clear benefits.

• Complex research synthesis: When a user needs to understand a multi-faceted topic, AI can provide a useful starting overview.
• Disambiguation: AI can better understand what a user actually means when their query is ambiguous.
• Conversational refinement: The ability to ask follow-up questions without starting a new search can be genuinely useful.
• Accessibility: For users who struggle with traditional search, a more conversational interface can be more approachable.

The Ongoing Reliability Problem

Despite improvements, the fundamental reliability problem with AI search has not been solved. Large language models are not designed to be perfectly accurate – they are designed to generate fluent, contextually appropriate text. These are different goals, and that difference matters enormously when users are relying on search for important decisions.

Until AI systems can reliably distinguish between what they know accurately and what they are generating based on pattern-matching alone, the risk of harmful misinformation will remain a serious concern.

Section 7: What Can Website Owners Do to Adapt?

If you own a website or create content online, you are probably wondering what you should do in response to all of this. The honest answer is that there is no magic solution – but there are smart strategies that can help.

Strategy 1: Focus on Genuine Expertise and Unique Insight

The content that is hardest for AI to replace is content that requires real human experience. Personal case studies, firsthand accounts, original research, genuine opinions based on deep expertise – these are things that AI cannot fabricate convincingly.

Instead of writing generic “how to” content that simply summarizes publicly available information, focus on sharing your actual experience. Write about what happened when you tried a particular approach. Describe the specific challenges you encountered. Offer opinions that are genuinely yours, backed by your real knowledge.

Strategy 2: Build a Direct Relationship With Your Audience

If Google sends you less traffic, the answer is to become less dependent on Google. Build an email newsletter so that you can communicate directly with your audience without going through a search engine. Create a community – a forum, a social media group, a membership program – where your most engaged readers gather.

When you own your audience relationship, you are insulated from algorithm changes and AI disruptions. A reader who signs up for your email list and opens your newsletters every week is far more valuable than a hundred readers who found your site through a Google search and never came back.

Strategy 3: Optimize for AI Inclusion

This may seem counterintuitive given everything discussed above, but it is worth trying to get your content included in AI Overviews and AI Mode citations. While being cited by the AI does not guarantee traffic, it does maintain your brand visibility and may drive some users to seek out your full content.

To optimize for AI inclusion, focus on clear and direct writing. Answer questions explicitly. Use structured formats that are easy to parse. Include authoritative data, statistics, and evidence. Make your expertise and credentials clear.

Strategy 4: Target Long-Tail and Conversational Queries

AI is reasonably good at answering simple, clear questions. It is less effective at handling highly specific, niche, or complex queries. This means that targeting very specific questions and building deep content around niche topics may give you more protection than competing for broad, generic keywords.

Think about the specific, detailed questions your most engaged readers might have. Then answer those questions better than anyone else on the internet. The more specific the question, the less likely AI will fully satisfy the user.

Strategy 5: Diversify Your Traffic Sources

Google has been the dominant source of website traffic for so long that many website owners never seriously considered alternatives. Now is the time to invest in other channels.

• Social media platforms can drive significant traffic if you build a genuine following.
• YouTube and podcast content can reach audiences who prefer non-text formats.
• Partnerships with complementary websites and businesses can create referral traffic.
• Paid advertising can supplement organic traffic while you adapt your strategy.
• Online communities and forums can send highly engaged visitors to your site.

Strategy 6: Invest in Structured Data and Schema Markup

Schema markup is a technical way of labeling the content on your website so that search engines can better understand what it is. Adding proper schema markup for articles, reviews, recipes, FAQs, local businesses, and other content types can help ensure that Google’s systems can accurately interpret and use your content.

While schema markup is not a guaranteed solution to the traffic decline caused by AI Mode, it is a best practice that makes your content more legible to automated systems – including AI systems that might cite or include your work.

Strategy 7: Publish Original Research and Data

One content category that remains highly valuable in the AI era is original data and research. If you conduct surveys, analyze datasets, or produce proprietary research, that content cannot be replicated by AI – because the AI does not have access to your original data.

Websites that publish original research tend to attract links from other websites, citations from journalists and bloggers, and interest from users who cannot find that information anywhere else. This makes original research one of the most durable SEO strategies available.

Practical takeaway: In the AI era, the safest content strategy is to create things that AI cannot create: genuine expertise, original research, first-person experience, and authentic community.

Section 8: The Future of Search in an AI-Driven World

Where Is Google Search Headed?

It is impossible to predict the future with certainty, but the trends are reasonably clear. Google will continue to integrate AI more deeply into search. AI Mode will likely become the default experience for most users in most markets. The traditional link-based search results page – the one we have known for twenty-five years – will become less prominent.

Other search engines, such as Microsoft Bing (which is powered by AI through its integration with OpenAI), Perplexity AI, and others, are following similar paths. The shift to AI-powered search is not a Google-specific phenomenon – it is an industry-wide transformation.

The Regulatory Landscape

Governments around the world are beginning to pay attention to these issues. In the European Union, the AI Act and Digital Markets Act are creating new requirements for how AI companies operate. In the United States, there have been congressional hearings about AI and its impact on the media industry. In Australia and Canada, there have been legislative efforts to require tech platforms to compensate publishers for using their content.

How these regulatory efforts play out will significantly shape how AI search evolves. If publishers successfully win compensation for AI use of their content, the economics of AI search will look very different. If they do not, the financial pressure on quality content creation will continue to intensify.

The Possible Outcomes

There are a few possible futures here.

In one scenario, AI search continues to improve, becomes genuinely reliable, and users learn to trust it appropriately – clicking through to sources for more detail when needed. In this scenario, AI search becomes a useful tool that complements rather than replaces human expertise. Traffic patterns shift, but quality content still finds its audience.

In another scenario, the quality of AI-generated answers remains uneven, users grow frustrated with wrong answers and oversimplified summaries, and there is a partial backlash toward more traditional search experiences or toward trusted sources that users seek out directly rather than through Google.

In a third scenario – and perhaps the most likely one – there is a period of significant disruption in which many traditional content publishers and websites struggle or fail, followed by a gradual stabilization as the ecosystem adapts to the new reality.

What Users Can Do

As a regular user of Google Search, you are not powerless in this situation.

• Be skeptical of AI-generated answers, especially for important topics like health, legal, or financial questions.
• Click through to original sources when making important decisions.
• Support the websites and creators whose work you value by subscribing, sharing, and engaging directly.
• Use multiple search tools – different search engines can give you different perspectives and help you fact-check important information.
• Provide feedback to Google when AI Overviews are wrong or unhelpful.

Conclusion

The question “Why is Google AI so bad?” reflects real and legitimate frustration. Google’s AI features have, at times, provided wrong answers, oversimplified complex topics, failed to give proper credit to sources, and contributed to a dramatic decline in website traffic that is affecting businesses and content creators around the world.

At the same time, the situation is not entirely one-sided. There are genuine use cases where AI-powered search provides real value, and Google is making ongoing efforts to improve accuracy and reliability. The technology is evolving rapidly, and today’s limitations may look different a year or two from now.

What is clear is that we are living through a major transformation in how people find and consume information online. The model that has governed the relationship between search engines and web publishers for the past two decades is being fundamentally disrupted.

For website owners and content creators, the path forward requires adaptation: focusing on unique expertise, building direct audience relationships, diversifying traffic sources, and creating content that AI genuinely cannot replicate. These are challenging adjustments, but they are also opportunities to build a more resilient and authentic online presence.

For regular users, the lesson is simple: AI answers are a starting point, not a final destination. For important decisions, go deeper. Seek out original sources. Value the human expertise behind the content you consume. In a world increasingly mediated by artificial intelligence, human judgment and critical thinking matter more than ever.

Google AI is not going away. AI Mode is not a passing trend. The best response is to understand it clearly – and then adapt wisely.

Key Takeaways

• Google’s AI Overviews and AI Mode generate answers directly on the search page, reducing the need for users to visit external websites.
• AI-generated answers can be inaccurate, outdated, or oversimplified – making them potentially misleading, especially for important topics.
• AI Mode represents a more complete shift to conversational search, fundamentally changing the search experience.
• Website traffic from Google search has dropped significantly for many content categories due to zero-click searches driven by AI.
• The most vulnerable content includes how-to guides, product reviews, health information, and other factual answer content.
• Effective adaptation strategies include building unique expertise content, growing email lists, diversifying traffic sources, and producing original research.
• The regulatory landscape is evolving, with governments beginning to address the impact of AI on publishers and content creators.
• Users should be critical consumers of AI-generated answers and continue to seek out authoritative original sources for important decisions.

About the Author

Jay Patel is the Founder of XSquareSEO, a full-service SEO agency with experience in on-page SEO, eCommerce SEO, link building, technical SEO, SaaS SEO, and local SEO. For more information, feel free to contact us. 

Explore More Guides

Reciprocal Links SEO
SEO Consulting Services
Best CMS for SEO
White Hat SEO Practices
Contact Page SEO Elements
Semrush vs Ahrefs 2026
Local SEO City Names
AI Predictive SEO Tools
Hardest SEO Industries
Keyword Research Importance