What Are the Negative Impacts of AI Overviews on SEO?

Table of Contents

1. What Are the Negative Impacts of AI Overviews on SEO?
2. How AI Overviews Change the Click
3. Which Query Types Lose the Most Traffic
4. What the Impression and Click Data Actually Shows
5. Why Track AI-Driven Search Engines
6. How to Get Traffic From AI Search Without Abandoning Organic
7. Frequently Asked Questions About AI Overviews and SEO

Quick Takeaways

Here’s what you need to know about the negative impacts of AI Overviews on SEO:

When an AI summary appears, people click traditional results less often: 8% of visits versus 15% without one, in Pew’s March 2025 browsing data.

Simple informational and definitional pages are the most exposed, while complex, comparative, local and transactional searches hold up better.

Impressions holding steady while clicks fall usually points to AI summaries rather than lost rankings, especially when average position hasn’t moved.

Search Console’s Generative AI performance report shows which pages earn AI Overview and AI Mode impressions, and GA4 counts those visits as Organic Search.

Google says total organic clicks have stayed relatively stable and that clicks from AI Overview pages are higher quality, so the impact is uneven rather than universal.

The best response is pages worth citing and clicking, refreshed content, genuine mentions and AI visibility tracking, not blocking AI features.

The main negative impacts of AI Overviews on SEO are fewer clicks per search and more searches that end without any click at all, with informational content hit hardest. Measuring the damage also gets harder. None of that makes organic search a lost cause, but it does change which pages earn traffic and how you should measure success.

What Are the Negative Impacts of AI Overviews on SEO?

AI Overviews sit above the classic results for many questions and, in Google’s own description, help people get the gist of a topic quickly, with links as a jumping-off point to learn more. For site owners, that placement creates five main downsides:

• Fewer clicks per search. When a summary answers the question on the results page, fewer people need to visit a site to get it.
• More searches end on the results page. Some people read the summary and stop there, without clicking anything.
• Informational content is the most exposed. Pages built to answer one simple question compete directly with the summary.
• Attribution and measurement gaps. Standard reports blend AI feature exposure into ordinary organic data, which makes the impact hard to isolate.
• Less control over how you are summarized. The summary paraphrases what it draws from, so your information can appear without your framing, and sometimes without a click.

Those downsides are real, but they are not the whole picture. Most of what you find when you search “ai overviews seo” is about getting cited, which matters and is covered in our guide to showing up in AI Overviews. This article focuses on the other side: what you lose, what the evidence actually shows, and how to respond. Responding well usually means changing content, measurement and authority-building together, and our SEO services bring those pieces into one program, with GEO and AEO work, digital PR mentions and links, and AI citations tracked in client reporting.

How AI Overviews Change the Click

The clearest independent evidence comes from Pew Research Center’s browsing study, based on March 2025 data from 900 U.S. adults:

• When an AI summary appeared, people clicked a traditional search result in 8% of visits, compared with 15% when no summary appeared.
• They clicked a link inside the summary itself in just 1% of visits.
• Browsing ended on 26% of results pages with an AI summary, versus 16% without one.

And the audience for those summaries is large. In Pew’s 2026 survey, 60% of U.S. adults said they read AI summaries at the top of search results.

Google describes the same shift differently. In August 2025, Google’s head of Search wrote that total organic click volume from Search to websites has been “relatively stable year-over-year,” that Google is sending “slightly more quality clicks,” and that the change is “resulting in decreased traffic to some sites and increased traffic to others.” Google’s documentation adds that clicks from results pages with AI Overviews are higher quality, meaning people are more likely to spend more time on the site.

Both accounts can be true at once. Pew measured how often people click on a single visit when a summary appears. Google is describing total clicks across all searches, at a time when it says AI features are driving more queries overall. Clicks per search can fall while total volume holds, and an average that holds steady can still hide sites that lost ground next to sites that gained it. Our article on measuring visibility in zero-click search covers how to think about results that never produce a visit.

Which Query Types Lose the Most Traffic

Of all the negative impacts of AI Overviews on SEO, lost traffic is the most visible, but it is not spread evenly. It depends mostly on whether a short summary can fully satisfy the person searching.

• Most exposed: simple informational and definitional questions. “What is X” and quick-fact searches can often be answered in a few sentences, so there is less reason to click.
• Also exposed: short how-to answers. If the steps fit in a short list, the summary may be enough for many people.
• Less exposed: complex and comparative questions. People weighing options, trade-offs or several factors still tend to want detail. Google says AI Mode is aimed at exactly these queries, the ones that need “further exploration, reasoning, or complex comparisons.”
• Least exposed: local, navigational and transactional searches. When the next step is visiting a location, logging in or buying something, the action still happens on a site. For businesses that serve nearby customers, our local SEO work focuses on these searches through Google Business Profile optimization, citations and local content.

The practical takeaway is to look at your traffic by intent, not just by page. A site whose organic visits come mostly from definitional content will feel AI Overviews more than one built around product, service or comparison pages. Blogs often fall in the first group because so many posts target informational questions, and our article on how AI is affecting SEO for blogging covers that side in detail.

What the Impression and Click Data Actually Shows

The pattern most site owners notice first is in Search Console: impressions hold steady or rise while clicks fall, so click-through rate drops. It is tempting to read that as a ranking problem, but often it is not. Google reports traffic from AI features inside the Performance report’s “Web” search type, so a page can keep appearing for a query, including alongside an AI Overview, while earning fewer clicks than it used to.

For a clearer view, Search Console now has a Generative AI performance report. It shows impressions in AI Overviews and AI Mode, grouped by page, country, date and device, and it rolled out to all websites as of August 31, 2026. It may not appear for sites with very few generative AI impressions, but where it does, it lets you see which pages AI features are actually drawing on.

To check whether AI Overviews are behind a drop on a specific page, work through these steps in order:

1. Compare matching date ranges. In the Performance report, filter to the page and compare a recent period with the same period a year earlier, so seasonality does not skew the picture.
2. Check average position. If position held steady while clicks fell, the page did not lose rankings, which points away from a classic SEO problem.
3. Look at the queries behind the lost clicks. If most of them are informational or definitional, AI summaries are a likely factor.
4. Open the Generative AI performance report. See whether the page earned AI Overview or AI Mode impressions over the same period.
5. Review the visits that remain. In GA4, compare engaged sessions and conversions from organic search before and after the drop, because fewer but more engaged visits is a different problem from lost demand.

When we dig into a client’s Search Console data after a traffic drop, the pages losing clicks are usually short informational pages that answer one question, while pages that offer original insight, tools or a clear next step tend to hold up better. That distinction matters, because the fix for a summarized answer is different from the fix for a technical or ranking problem. If the drop spans many pages and the cause is not obvious, an SEO audit separates the two. It reviews technical health, the searches and pages gaining or slipping in Search Console, and which sources AI answers cite for your key questions. A person then checks every finding, ranks the fixes by impact and walks you through the plan. For a single page, our free E-E-A-T Content Analyzer is a quick way to see how it scores on Experience, Expertise, Authority and Trust before you decide what to rewrite.

Why Track AI-Driven Search Engines

If you searched “why track ai-driven search engines,” the short answer is that your default reports blur AI exposure into everything else, so you cannot manage what you cannot see. Three gaps are worth knowing about:

• Google’s AI features are folded into organic data. In Search Console they sit inside the “Web” search type, and only the Generative AI performance report separates their impressions.
• GA4 splits assistants from Google’s AI features. GA4’s default channel group includes an AI Assistant channel for visits from assistants such as ChatGPT, Gemini and Copilot, but visits from AI Overviews and AI Mode count as Organic Search. GA4 alone cannot tell you how much of your organic traffic came through an AI summary.
• Assistant answers often influence decisions without a click. Pew’s 2026 survey found that 44% of U.S. adults have used ChatGPT and 24% use chatbots daily. If an assistant describes your category, you want to know whether it mentions you and whether it gets the details right.

For that last gap, our free AI Rank Checker lets you enter a keyword and a URL to see how a brand shows up in ChatGPT, Claude, Gemini and Perplexity. It covers those four assistants only, so pair it with the Generative AI performance report for Google’s own AI features. To turn these checks into a routine, our walkthrough on checking your AI website visibility sets out a monthly audit, and our guide to measuring GEO success covers which metrics to report over time.

How to Get Traffic From AI Search Without Abandoning Organic

If your question is “how to get traffic from ai search,” the answer starts with the same pages that earn organic traffic. Google says the best practices for SEO remain relevant for AI Overviews and AI Mode, so the goal is to make those pages worth citing and worth clicking, not to start over. Our article on whether traditional SEO is still important after AI Mode explains why the fundamentals carry over.

1. Make pages worth clicking into. Give the direct answer early, then offer what a summary cannot: original data, worked examples, tools, templates and first-hand experience. Our SEO blogging best practices cover how to structure posts that way.
2. Make key pages easy to cite. Our free AEO Checker scores how easy a page is for AI answer engines to understand and cite, with fixes for clarity, entities, evidence, structure and accessibility.
3. Refresh older posts. Outdated content is easy to replace with a summary. The free AI Blog Refresh Tool takes a post URL and returns SEO updates, current-stat checks, meta suggestions, internal link ideas and an action checklist.
4. Cover the complex questions. Comparative and multi-part questions still send clicks, and AI Mode is built for them. Our guide to ranking in Google AI Mode explains how to prepare for those queries.
5. Earn genuine mentions and citations. What credible third parties say about you shapes how AI answers describe you. Our article on increasing visibility with AI brand mentions covers how to build that.
6. Measure AI visibility next to organic results. Add the Generative AI performance report and regular assistant checks to the reporting you already do.

Being the cited source is also becoming more visible. In October 2026, Google described substantial increases in inline links inside AI responses and more visible related-article links at the end of some responses. If producing that kind of content is the bottleneck, our SEO-optimized blogging service covers keyword research, topic strategy and drafting new posts, and our Generative Engine Optimization services handle the AI visibility layer on top.

Frequently Asked Questions About AI Overviews and SEO

Do AI Overviews hurt every website’s traffic?

No. The impact depends on your mix of queries. Sites that rely on simple informational content tend to feel it most, while sites built around services, products, tools and complex comparisons are less exposed, and some sites have gained traffic as clicks shift.

Is informational content still worth writing?

Yes, if it offers more than a summary can. Thin definitional pages are the most exposed, but informational content with original data, examples, experience or a clear next step still gives AI features something to cite and gives readers a reason to click through.

Should I block AI Overviews from using my content?

Usually not. Google does offer controls, including nosnippet, data-nosnippet, max-snippet and noindex, to limit what is shown from your pages. They are not specific to AI features, though: they also limit how your pages appear in standard results, and no one can guarantee that blocking would bring lost clicks back. For most sites, it costs more visibility than it protects.

The negative impact of AI on SEO is real, but it is manageable with the right content, measurement and authority work. Our Generative Engine Optimization services bring intent-focused content, AI-friendly architecture and markup, authority and trust signals, and technical optimization for AI crawling to your existing SEO. Every engagement begins with a free AI search readiness assessment. From there, we review your current content, pinpoint specific AI-optimization opportunities and build a customized plan, custom-quoted to your scope. Contact us to start with the assessment.