Is Google Going Full AI? What It Means for the Web

Lisa Ernst · 27.05.2026 · AI Search · 9 min read

Google is not just adding a few AI features to Search. It is reshaping the product around AI answers, AI Mode, multimodal queries and agents that can do work in the background. For website owners, bloggers and SEO-driven projects like Zerlo, this is not a small interface update. It changes the reason people click on search results in the first place.

The old Search deal was simple: creators publish useful pages, Google organizes them, users click through, and websites earn traffic, subscribers, leads or ad revenue. AI Search breaks that pattern because the answer increasingly appears before the click.

Source: Image source: Google The Keyword

Google Search is becoming an answer engine

For more than two decades, Google Search was mainly a navigation layer for the web. You typed a query, scanned blue links, opened a website and judged the answer yourself. That flow is now changing. Google describes the new AI-powered Search box as the biggest Search upgrade in more than 25 years, and the direction is clear: fewer isolated links, more synthesized answers, more follow-up questions and more actions inside Google itself.

AI Overviews already summarize many queries at the top of Search. AI Mode goes further: it turns Search into a conversational interface where the user can ask complex questions, compare options, upload or interpret visual input and continue the task without starting over. In practical terms, Google is moving from finding pages to solving tasks.

Source: Image source: Wikimedia Commons / Google Search screenshot in 2025

The AI Mode button on Google Search is a visible sign of the shift: AI is no longer a side experiment, it is becoming part of the default search experience.

The real problem: fewer reasons to visit websites

The danger for publishers is not that Google suddenly stops showing links. The danger is that users may no longer need to click. If the AI summary already explains the answer, compares the options and offers follow-up questions, the website becomes background material instead of the destination.

This is especially painful for informational content. A blog post that answers “what is AI Mode?”, “how does Google AI Search work?” or “what does this trend mean?” can be summarized directly in the results. The user receives the useful part, while the original website loses the visit.

Why this matters for Zerlo

Zerlo depends on search visibility for many blog articles and AI prompt pages. That makes the Google AI shift very concrete. If a user searches for a simple prompt idea, a definition or a short tutorial, AI Search can summarize the result before the user reaches Zerlo. For ad-supported pages, fewer clicks can mean fewer impressions, less revenue and weaker feedback signals.

The most exposed Zerlo content types are simple information pages, generic “what is” explanations, broad AI prompt lists and short how-to articles that can be answered in one paragraph. These pages may still be indexed and cited, but citation is not the same as a visit.

Source: Photo by Luke Chesser on Unsplash

For SEO projects, the key question is no longer only ranking. It is whether ranking still produces measurable traffic when AI summaries answer the query first.

The data already points in that direction

A Pew Research Center analysis found that users who saw an AI summary were less likely to click traditional search results than users who did not see one. The gap is important because it confirms what many publishers already feel: AI summaries can make search more convenient for users while weakening the traffic loop that kept the open web alive.

Google argues that AI Overviews still include links and help people explore the web. That is true in principle. But from a publisher perspective, the important metric is not whether a link exists. The important metric is whether people still click it often enough to sustain content creation.

Source: Image source: Wikimedia Commons / AI Overviews result, CC BY-SA 4.0

AI Overviews show the new pattern clearly: the search result is no longer only a list of destinations, but a generated answer layer above the web.

Google is not only answering. It is becoming agentic.

The next step is even bigger than summaries. Google is adding agentic features: systems that can monitor information, compare options and help complete tasks. That means some user journeys may never touch a brand website or a blog page at all. A user might ask for a recommendation, a trip plan, a product comparison or a local service, and the AI agent may do much of the decision work inside Google.

For marketers and website owners, this changes the goal. The question becomes: how do we make our content, tools and brand useful enough that an AI system wants to surface them, and valuable enough that a human still wants to click?

Source: Photo by Aerps.com on Unsplash

AI search interfaces train users to ask longer, more complex questions and expect a direct answer instead of a list of links.

Two short quotes explain the strategy

Source: Image source: Google The Keyword

Elizabeth Reid leads Google Search and published Google's announcement about the new AI Search era.

❝ The best of a search engine with the best of AI. ❞

Google Search announcement by Elizabeth Reid

Source: Photo by Maurizio Pesce, Wikimedia Commons, CC BY 2.0

Sundar Pichai framed AI Mode as a major upgrade to Search and highlighted the scale of AI Overviews usage.

❝ AI Mode has been a revelation, our biggest upgrade to Search ever. ❞

Sundar Pichai, Google I/O 2026

What kind of content will suffer most?

AI Search is not equally dangerous for every page. It is most dangerous for content that has no unique reason to exist beyond answering a common question. If ten websites say nearly the same thing, Google can compress the answer into one summary.

• High risk: definitions, basic explainers, thin listicles, generic prompt examples and copied news summaries.
• Medium risk: tutorials, buying guides and comparison pages that do not include original testing or unique data.
• Lower risk: interactive tools, original datasets, personal experiments, strong visuals, calculators, templates and brand-specific resources.

This does not mean blogs are dead. It means weak blogs are easier to replace. The open web still matters, but the winning pages need stronger reasons for a user to leave the AI answer and visit the source.

How Zerlo can adapt

Zerlo should not react by publishing less. It should react by publishing differently. The future is not only “write more SEO text”. The future is content that AI can understand, users can trust and Google cannot fully replace in one generated paragraph.

1. Build tools around content. A prompt generator, calculator, checklist or image-prompt builder gives users a reason to click.
2. Add original examples. Before-and-after images, real screenshots, test results and experiments are harder to summarize away.
3. Use strong internal linking. Connect blogs to useful Zerlo tools and related resources, not only to other text pages.
4. Make articles extractable. Clear headings, tables, concise definitions and source blocks help AI systems understand the page.
5. Build a direct audience. Search traffic is useful, but newsletters, returning users and branded searches reduce dependency on Google.

Source: Photo by Kevin Ache on Unsplash

AI Search is also an infrastructure race. The more Google turns Search into an AI product, the more computing power sits behind every query.

A practical Zerlo strategy: from articles to assets

The safest direction for Zerlo is to treat every blog post as an entry point to something more useful than text. A visitor should not only read “what Google AI Search means”. They should get a checklist, a decision framework, a tool, a prompt template, a downloadable file or a visual example they can actually use.

For example, an article about AI photo prompts should include real before-and-after examples and a prompt generator. An article about SEO should include a mini audit checklist. A news analysis should include the impact on small website owners, not just repeat what Google announced.

That is the difference between being a page Google can summarize and being a resource people want to open.

Source: Photo by Taylor Vick on Unsplash

The classic web was built around links. The AI web is increasingly built around extraction, synthesis and task completion.

Is Google going full AI?

Yes, but not by deleting classic Search overnight. The shift is more subtle and more dangerous: Google is keeping Search recognizable while moving the value layer into AI. The links are still there, but the answer is increasingly above them. The websites are still indexed, but they may receive fewer visits. The web still feeds Google, but Google is trying to solve more of the user journey itself.

For users, this can feel faster and more convenient. For website owners, it means the old SEO model is becoming less reliable. The future belongs to websites that are not only readable, but useful, original, visual, interactive and worth visiting directly.

For Zerlo, the lesson is clear: do not depend only on Google sending traffic to simple text articles. Build content that becomes a product, a tool, a template or a visual resource. AI Search may reduce casual clicks, but it cannot fully replace a site that gives users something practical to do.

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