Speculation about OpenAI planning to unveil a generative AI-driven web browser to compete with Alphabet‘s Google Chrome has heightened enthusiasm regarding the future of search and the transformative impact of AI on web browsing.

In what seems to be the next evolution of the internet, search engines will evolve from merely directing users to information to intelligent agents retrieving and even acting on it for us.

“This transformation isn’t just about improved answers; it’s about reshaping the interaction between humans and the web,” explained Ja-Naé Duane, a Brown University faculty member and MIT CISR research fellow, to VentureBeat. “By incorporating a conversational, task-oriented AI directly into the browser, OpenAI is heralding a new era for search.”

What exactly is gen AI-powered search?

Gen AI-powered search differs fundamentally from traditional search, as it not only provides the most pertinent links in response to a query but also summarizes and directly links to them. Users will no longer need to scroll through URLs, websites, or databases to find the information they require. For businesses, this shift suggests that SEO could eventually become redundant, necessitating a fundamental rethink of their online strategies.

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It seems that OpenAI’s objective is to keep users engaged within GPT-like interfaces for extended periods. A dedicated browser would enable the company to seamlessly integrate products like Operator, which automates repetitive browser tasks.

This approach, experts suggest, represents the future of AI-driven search: Agents that gather information for users and learn their habits, interests, and goals.

“We’re entering an era where the browser doesn’t just respond; it anticipates,” said Duane. “The future of search is not about finding; it’s about fulfilling.”

The current gen AI-powered search landscape

Once OpenAI steps into the gen AI-powered search arena, it will encounter competition from Perplexity, Dia, Arc, Andi, Bagoodex, Komo You.com, and others.

Notably, Perplexity’s Comet was launched earlier this month, but is presently available only to customers on the $200-per-month tier. The company plans to gradually expand access to the browser to more users on an invite-only basis, with a future free version.

Perplexity is praised for being “excellent for deep research,” according to Wyatt Mayham of Northwest AI Consulting, but its current pricing targets power users rather than the general public.

Perplexity is described as “fast, task-oriented” and increasingly utilized in knowledge work, noted Johnny Hughes, co-founder and CMO at marketing and advertising firm Avenue Z. “The issue? Source transparency and trust are still inconsistent,” he remarked. You.com, Arc, and others offer commendable UI experimentation, but “lack scale, funding, or unique differentiators.”

Dia, as Mayham explained, is “reimagining the browser from the ground up with modular AI features but faces the challenge of adoption in a market dominated by established players.” Its intent-sensitive automation is also more limited.

Existing players are also making moves to compete. Chrome has introduced AI Mode, and Bing offers Copilot search, while Firefox, DuckDuckGo, and others have incorporated AI chatbots and sidebars, along with integrated AI summaries in search results. However, these remain more traditional and closer to conventional assistive search, still tied to ad revenue models and legacy UX.

OpenAI’s potential advantage in search

What could distinguish ChatGPT from its competitors is its substantial market share, extensive industry partnerships, and the fact that it boasts 500 million weekly active users.

Experts highlight its task-oriented nature as a key advantage.

“Instead of merely providing a list of links, their upcoming browser agent aims to perform actions (book a flight, order groceries, handle forms),” explained Mayham of Northwest AI Consulting. “This model differs from Google’s ad-driven approach and holds significant implications for online discovery.”

It represents a “big shift in mental models,” concurred Hughes of Avenue Z. Google was designed to index and rank, while OpenAI is engineered to understand, synthesize, and deliver intent-based outcomes.

“They’re not attempting to ‘crawl the web’; they’re striving to comprehend it,” he emphasized, noting that today’s users seek direct answers, not just links.

OpenAI’s edge over its rivals lies in its vast developer ecosystem, built-in user behavior through ChatGPT, and direct feedback loops from billions of prompts. While Perplexity serves as a powerful agentic assistant, and Gemini enhances search with context and extensions, “OpenAI is poised to become the OS layer of the internet,” stated Hughes.

But can OpenAI really topple Google?

The browser wars have persisted for years, with Chrome remaining the dominant player by far.

According to marketing intelligence firm Datos, the tech giant maintained a 90.15% share of the U.S. user base and 92.49% in Europe between Q1 2024 and Q1 2025. In contrast, ChatGPT accounted for only 0.29% of desktop events in the U.S. and 0.32% in Europe.

“Barring a miracle, I find it difficult to envision any new browser having a substantial impact on Google’s browser dominance for a considerable time, if at all,” remarked Eli Goodman, Datos’ CEO and co-founder.

AI tools will demonstrate value in areas such as summarization, research acceleration, and “alleviating tab fatigue,” he noted. “But posing an existential threat to Google? Not yet.”

For AI browsers to genuinely disrupt the market, they’ll need to prove that their end-to-end experience is not only faster or smarter but consistently more useful than what users are accustomed to, he pointed out.

ChatGPT excels at answering well-formed questions using its internal knowledge and language reasoning, but it lacks access to real-time, long-tail, and less-indexed web content, stated Vladyslav Hamolia, AI product lead at Mac app builder MacPaw.

“This is where a traditional browser-plus-search engine still plays a crucial role, surfacing newly published pages, live prices, event-specific updates, or in-depth technical documentation,” said Hamolia. “The browser is not just a UI layer; it’s a gateway to navigating and filtering a vast, dynamic web that models alone cannot fully absorb.”

Google remains dominant in crawling depth (with two decades of crawling infrastructure), semantic understanding of web structure (sitemaps, structured data), and personalized relevance, he noted.

Brian Jackson, principal research director at Info-Tech Research Group, highlighted that Chrome users are likely also utilizing Gmail, Google Calendar, Google Docs, and other Google platforms. “OpenAI and Perplexity don’t have that same range of services.”

However, if their AI agents can begin to replace more Google tools beyond search, they may gain some market share.

“We also have to consider what strategy OpenAI and Perplexity take with their browsers,” said Jackson. “Currently, Perplexity offers Comet only to its paying users, so at present, it’s more of an added value to attract subscribers rather than an attempt to capture browser market share.”

Advantages and disadvantages of AI web browsers

The true advantages of AI search may not be evident for some time, suggested Info-Tech’s Jackson.

While Comet boasts its ability to summarize and translate every page instantly, this is not so different from what can be achieved with Chrome, especially when considering its extensive library of available extensions.

“These AI browsers will literally be trying to interpret the goal of users,” he said. “They will make suggestions, offer to automate routine tasks, find product comparisons, or source multiple quotes for services. Browsers could transition from being mere windows to web content to agentic assistants that help users achieve their digital goals.”

On the flip side, resistance to new technology is always a factor, he pointed out. Users who reject the AI summaries they see in core search are likely to also reject the notion that AI should be at the forefront of browsing.

“The early days of user experience will be crucial here, and if we see browsers recommending that users put glue on pizza or other silly things like that, it won’t aid in adoption,” said Jackson.

Another distinguishing aspect of AI search is models’ ability to retain memory across sessions and assist with task execution in-browser.

“The risk, however, is user trust,” said Kaveh Vahdat, founder and president at fractional CMO agency RiseOpp. “A browser that thinks and remembers raises legitimate privacy concerns unless boundaries are clearly defined.”

Transitioning from static search bars to dynamic AI interfaces that learn, adapt, and integrate with internal systems also introduces new exposure points, especially when proprietary data is surfaced by models operating across public and private content, he noted. Enterprises must be prepared to revisit access controls and ensure AI agents align with governance and compliance standards.

“These tools are converging in functionality but diverging in user control,” said Vahdat. “The key differentiator may not be capability, but how well each platform balances autonomy with transparency.”

What enterprises should do now

Whether sooner or later, how should enterprises prepare for a new search environment where SEO is no longer relevant?

Consider your site as a reference point for AI systems, advised Mayham of Northwest AI Consulting. Content should be clear, factual, and structured so AI tools can easily surface information. Also, prepare for conversational commerce by ensuring product data and checkout flows are API-friendly and that AI agents can complete transactions without friction.

Additionally, invest in brand authority; if AI cites sources, it’ll use a brand name, not just keywords. “Brand trust is critical,” said Mayham, and is achieved by being featured on other authoritative websites or reviewed well on review platforms.

“Enterprises should stop thinking in blue links and start building content that answers, reasons, and resonates,” agreed Avenue Z’s Hughes.

This means:

• Structuring content with AI comprehension in mind (schema, embeddings, FAQs)

• Prioritizing expert-driven, evergreen content that large language models (LLMs) trust

• Diversifying beyond Google (social search, TikTok SEO, YouTube, voice)

• Training internal teams on prompt engineering and AI integration

Ultimately, it is critical to make the customer experience interoperable with agentic AI, emphasized Brown University’s Duane.

“Soon, users won’t be browsing; they’ll be delegating,” she said. “You need to prepare your systems not just to be found, but to be understood by AI.”