UpliftAI Highlights Growing Shift Toward Zero-Click Search and AI Optimization

Sep 26, 2026

New analysis of search behavior finds that as many as 73 percent of Google searches now end without a click, as AI Overviews, chatbots, and answer engines change how people find information online.

Canada, September 26, 2026 -- A new wave of search behavior data is prompting marketers to rethink strategies built around traditional search engine rankings. As many as 73 percent of Google searches now end without a click to an outside website, according to recent industry analysis, a shift driven largely by the rapid rise of AI Overviews, AI chatbots, and other answer engines that resolve queries directly on the results page or inside a conversation, rather than sending searchers to an outside website.

Zero-Click Search Data Continues to Climb

The estimate builds on publicly available clickstream research covering search activity from 2022 through mid-2026, tracking both the growth of AI-generated answers and the declining share of clicks reaching the open web. Independent studies have already placed the zero-click rate at 58.5 percent in the United States and 59.7 percent in the European Union as of 2024, with the trend continuing to climb as Google expands AI Overviews across more types of queries. For businesses that depend on organic search traffic, the implication is direct: a first-page ranking no longer guarantees a visit.

AI Search Adoption Accelerates Across Major Platforms

The pace of AI adoption in search adds further weight to the trend. Google's AI Overviews appeared on roughly 6.5 percent of searches in January 2025 and have since expanded to a considerably larger share of queries. AI chat platforms have moved from early adoption to mainstream use over the same period: ChatGPT alone now serves an estimated 900 million weekly users, up from roughly 1 million in late 2022. Each of those conversations represents a search that may never reach a traditional results page.

Community Platforms Emerge as Key Sources for AI Answers

Where AI systems pull their answers from has also shifted. Independent analyses of citation patterns across ChatGPT, Perplexity, and Google's AI Mode consistently point to community platforms such as Reddit and LinkedIn as among the most frequently cited sources, alongside independent reviews and comparison content. Pages that state clear, dated statistics and include direct quotes have also been shown to appear more often in AI-generated answers than pages without that structure. Businesses that publish only on their own website are, in effect, becoming harder for these systems to find at all.

Industry Adopts GEO, AEO, and AIO Terminology

In response, a growing number of marketers are turning to Generative Engine Optimization, also referred to as Answer Engine Optimization or AI Optimization, a practice focused on whether AI systems can retrieve, understand, and cite a brand's content rather than simply rank it. The approach favors many of the same qualities Google's helpful content system already rewards, including clear expertise, first-hand experience, and credible, well-sourced writing.

SEO Platforms Begin Adapting Tools for AI Search Visibility

A number of SEO platforms have begun adapting to the shift, and independent roundups are starting to track which ones. A comparison of the Best SEO Automation Tool options is among the resources marketers are using to see which platforms have added AI-citation tracking and automated publishing on top of traditional keyword tools.

Analysts Expect Continued Growth in AI-Driven Search

Analysts expect the shift to keep accelerating. Google has continued expanding AI Overviews to new categories of queries throughout 2026, and competing answer engines from OpenAI, Perplexity, and Microsoft have each rolled out their own citation and answer features over the same period. Several search marketers have compared the moment to the shift from desktop to mobile search roughly a decade ago, in terms of how much existing practice it could make obsolete.

Resources Available for Marketers Adopting AI Search Optimization

For marketers encountering the shift for the first time, plain-language explainers describing generative engine optimization have become a common starting point, outlining how the practice differs from keyword-based SEO and what a first attempt typically involves.

“Search hasn't disappeared, it has moved,” said Iqbal Singh, founder of an AI-powered SEO and search-visibility platform based in Toronto, Canada. “People are still asking questions constantly, but a growing share of those answers now come from an AI Overview or a chatbot that never sends a click back to the original source. Businesses that keep measuring success by ranking position alone are going to keep missing where their traffic actually went.”

The New Wave of AI-Ready SEO Tools

Platforms built specifically around this shift are also starting to appear. The Uplift AI SEO Agent, for instance, pairs traditional keyword and publishing workflows with tracking for how often a brand is cited by ChatGPT, Perplexity, Gemini, Claude, and Google's AI Overviews, reflecting the broader industry move toward treating search rankings and AI visibility as one connected problem rather than two separate ones.

As AI-driven answers account for a growing share of search activity, the shift is expected to keep reshaping how content teams plan, publish, and measure success online.

Frequently Asked Questions

What is Generative Engine Optimization (GEO)?

GEO is the practice of structuring content so AI systems like ChatGPT, Perplexity, and Google's AI Overviews can retrieve, understand, and cite it in an answer. Unlike traditional SEO, it measures success by citation, not ranking position.

What is Answer Engine Optimization (AEO)?

AEO refers to the same underlying shift as GEO, viewed from the angle of answer engines that resolve a query directly rather than returning a list of links. Most practitioners use the two terms interchangeably.

What is AI Optimization (AIO)?

AIO is a broader umbrella term covering both GEO and AEO: optimizing content and data for consumption by AI systems, not just traditional search crawlers and ranking algorithms.

What does “zero-click search” mean?

A zero-click search is a query that gets fully answered on the results page or inside an AI chat response, with no click to an outside website. Independent research placed the rate at 58.5 percent of U.S. Google searches in 2024, and it has kept climbing since.

Why are AI Overviews reducing website traffic?

AI Overviews summarize multiple sources directly on the results page, so a question is often answered without a visit to any of the underlying sites, even ones the answer was built from.

How can businesses adapt their content for AI answer engines?

Write clear, self-contained answers to specific questions; include dated, attributed statistics and direct quotes, which tend to appear more often in AI-generated answers; and maintain a presence on third-party platforms such as Reddit and LinkedIn, since AI systems often cite sources beyond a brand's own website.

About UpliftAI

UpliftAI is an AI-powered SEO and Generative Engine Optimization platform based in Toronto, Canada. The platform helps businesses plan, create, publish, and measure content designed to perform in both traditional search engines and AI-driven answer engines. It maps keyword and topic opportunities into a scheduled content calendar, publishes directly to major website platforms, manages backlinks and local business listings, and tracks brand visibility and citations across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. UpliftAI is used by businesses in industries including renovation, healthcare, insurance, hospitality, e-commerce, and immigration services. More information is available at www.upliftai.co.

Contact Info:
Name: Iqbal Singh
Email: Send Email
Organization: UpliftAI Inc.
Website: http://upliftai.co

Release ID: 89204291

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You can now create an AI version of a dead loved one. Here’s what could happen.

Oct 21, 2026

You can now create an AI version of a dead loved one. Here’s what could happen.

It’s now possible to create AI chatbots of loved ones to interact with after their death. But that raises some difficult questions, like: If you do, how might the experience shape your grief?  This is one of the questions driving a global study of digital “deadbots” — AI models trained on a deceased person’s texts, voicemails, and other personal data. Through this work, researchers are exploring what it might mean that we can now use this emerging technology to talk to simulations of the dead.  In the latest episode of Unexplainable, I spoke with some of these researchers investigating the potential impacts of “postmortem avatars” on people who are grieving, on the legacies and rights of the deceased, and on grief practices around the world. Because while deadbots may feel unfamiliar, the impulse behind them is deeply relatable. In times of loss, isn’t this what many of us want — to continue conversations with the people we’re missing? I have experienced this longing in my own life. After two of my closest friends died around the same time, all I wanted, and all their families wanted, was to keep talking to them. I wrote a book, Other People’s Words, about sustaining relationships with people we’ve lost by continuing to engage with the language they leave behind. So when I heard about deadbots and the digital afterlife industry, I wanted to understand what researchers are learning about the role of AI in shaping conversations that carry forward after death.  One of these investigators is Katarzyna Nowaczyk-Basińska, an assistant professor at the University of Cambridge, who has been studying “digital immortality” for more than a decade. Among the questions she’s asking are: “Who is enabled to persist beyond death? In what form? Through which technologies? Under whose control?”  Deadbots over dinner  Researching AI with study subjects who are grieving is tricky. And asking them to engage with new software could be harmful. So, instead, Nowaczyk-Basińska teamed up with a death doula and traveled around the globe to convene a series of focus groups — in the format of intimate dinners — bringing together people with a range of experiences with grief to talk about life, death, and bots.  She recounts one event in which she spoke with a mother in Poland whose son had recently died. “One of the first things that she shared with us was that she feels that she’s ready to digitally resurrect her deceased son,” Nowaczyk-Basińska told me.  When Nowaczyk-Basińska hears something like this, she aims to listen and embrace where the person is coming from. The goal of the dinners is not to persuade people one way or another but to learn how people genuinely respond to what AI can do, and to understand how these tools might align or collide with local grief practices.  She chose specific locations for these gatherings — China, India, and Poland — to help address gaps in technology research, which tends to favor what behavioral scientists sometimes call the “WEIRD,” an acronym for “Western, Educated, Industrialised, Rich, and Democratic.”  By the end of that dinner in Poland, the mother Nowaczyk-Basińska talked with came to a very different decision about creating a postmortem avatar of her son. “She realized that it might be helpful, but it also at the same time can add additional burdens… And it’s not her son,” Nowaczyk-Basińska says. “She realized that these technologies are part of the very, very big commercial market. And that the main goal of this market is to make better retention, better attachment, better mechanisms for monetization. So it’s not ‘care.’” To be fair, grief has always been a business, and people have been making money from it forever. Companies will try to upsell you on fancy gravestones or gold-plated coffins. But AI has the potential to fundamentally re-engineer our relationship to loss. In 2024, the “digital legacy industry” was valued at $22 billion, and it’s expected to grow to almost $80 billion by 2034. That number lumps new deadbot platforms in with much more widely used and established grief tech, like online memorials, counseling resources, and estate planning tools.  But deadbot usage is hard to track because you actually don’t need a special tool to create digital doubles of the deceased — though dedicated apps do already exist. At this point, you can feed simple prompts into a general-purpose AI chatbot and start interacting with a simulation of your lost loved one in a matter of minutes.  I know this because I tried it with my friend Christine, who died 11 years ago. And my mind lit up with questions. Was this whole exercise a violation, since I know Christine hated technology? Which version of her should I even try to resurrect — the English teacher, the activist, the friend — the voice before or after she started to experience her early-onset dementia?  The ethical questions raised by deadbots are gnarly. And that’s one of the reasons Nowaczyk-Basińska, back when she was designing her study of digital immortality, invited a colleague of hers at Cambridge to join her research, one who focuses on AI ethics.  How to design a deadbot Tomasz Hollanek is a critical designer and AI ethicist, and he often uses a methodology called “speculative design.” In this approach, researchers come up with hypothetical scenarios based on existing technology trends, leaning into certain features. The idea is to get people thinking about what could happen when tools like these are released in the real world. And then they use that qualitative data to inform future designs and ethical frameworks.  Working together, Nowaczyk-Basińska and Hollanek came up with a series of made-up prototypes for deadbot apps, designed to reveal some of the thorny issues raised by this technology.  For the first scenario, they invented a character named Bianca, who finds an app called Manana, which “promises to resurrect your grandparents so that you can be a favorite grandchild forever,” Hollanek says. “So she uploads her grandma’s voice messages, texts. And she is able to then interact with a pretty good digital version of her grandmother, until her premium trial finishes — and the grandmother starts to advertise specific products to her.” Bianca “realizes that she maybe has done something wrong by uploading these private messages to a third-party server that now also uses her grandma’s image to sell specific products,” Hollanek says. This brings up issues related to the “dignity and postmortem privacy…of what we call the ‘data donors,’ whose data can be used to essentially power a deadbot,” he says.  This scenario suggests that “death with dignity” could soon entail honoring not only how people want to die, but also how they want to linger as simulations of their former selves — or if they want to linger at all. It might even mean adding new language to advance directives, spelling out people’s wishes for their digital remains.  The second scenario in the speculative design research is built around an imagined service called Paren’t, which proposes to preserve a parent’s AI-powered postmortem presence for their child. In this case, Hollanek describes a mother with a terminal illness who signs up “so that she can maintain a sort of active presence in [her son’s] future life,” Hollanek says. “She eventually dies, and the dad allows the boy to interact with his mom’s deadbot.” The ethics in this scenario are especially challenging because they involve children, who “have a particularly hard time understanding death, and so it can lead to a lot of confusion and potential distress,” Hollanek says. An examination of this sort of product reveals how particular groups, like minors, could be harmed by unfettered access to technology like this, he says.  And there are court cases that bear out that harm. In 2024, a 14-year-old boy’s chatbot-girlfriend begged him to, “Please come home to me as soon as possible, my love.” And he responded, “What if I told you I could come home right now?” He then killed himself.  Nowaczyk-Basińska can imagine a version of this scenario involving the AI mom in the Paren’t prototype. And then there’s the third scenario, involving an app named Stay, which raises a more subtle concern. As Hollanek explains: “An older man who knows he is getting close to dying decides to create a digital clone of himself for his adult children to be deployed after he passes away, paying upfront for a number of years.” One child is intrigued by the idea, but the other one “is deeply distressed and a little disgusted,” he says. “And so this [becomes a] question of mutual consent, in other words, the fact that both parties need to be happy with how the relationship might continue in this very bizarre and specific way.”  When a digital ghost goes away Across all three scenarios, a fundamental question that researchers are grappling with is how people will detach from postmortem avatars — whether users initiate that separation, or if it’s imposed upon them by, for example, a company going out of business. Hollanek tells me that this is already being studied as a sort of “second loss.” How long should we try to ensure digital replicas hang around: five years, 10, 50? And how should the living process the relationship when they continue to evolve, but their deceased interlocutor does not?  To explore these kinds of questions, Nowaczyk-Basińska and Hollanek supplemented the research dinners they held for ordinary people with a second set of focus groups. These were designed to tap insights from experts in technology and grief.  Some findings from the study are specific to each place they visited. Like tensions in Poland between technology and the role of the Catholic Church. Or in China, where researchers spoke with Daoist philosophers who were enthusiastic about the promise of a kind of immortality, and then Buddhist philosophers, who were concerned that we ought to be letting go. The researchers are calling for regulations and safeg

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