How Google AI Mode is Changing Business Search Forever

Can AI replace the need to open multiple browser tabs, compare results across different websites and manually gather information from dozens of sources? Google believes it can.

AI Mode, first launched in July 2025, has seen the company integrate AI into its core search product. Google says users can ask questions of any length, specify multiple requirements and receive curated results with direct action capabilities, with the platform maintaining context across extended interactions and completing tasks automatically.

The system now operates across more than 180 countries and territories, with dedicated language support for Hindi, Indonesian, Japanese, Korean and Brazilian Portuguese markets.

“AI is making Google Search radically more helpful, so you can ask any question on your mind and get things done,” says Robby Stein, Vice President of Product for Google Search.

Google AI Mode completes tasks instead of showing links

Agentic capabilities in AI Mode mean the platform is capable of searching multiple platforms simultaneously and presenting filtered results with direct booking capabilities, combining live web browsing from Google’s Project Mariner (a Google DeepMind research prototype exploring the future of human-agent interaction) with partnerships with OpenTable, Resy, Tock, Ticketmaster, StubHub, SeatGeek and Booksy.

Google says AI Mode builds profiles from conversation history, search activity and Google Maps usage, with the system adapting responses based on individual preferences and organisational requirements across repeated interactions.

“People in the US who have opted into the AI Mode experiment in Labs will see results tailored to their personal preferences and interests,” Robby notes. 

Teams can also share conversations while maintaining full context, with shared links enabling multiple stakeholders to contribute to projects without recreating background information.

Google’s expanding global AI search reach

Google operates AI Mode across over 180 countries and territories, and recently announced new localised versions in Hindi, Indonesian, Japanese, Korean and Brazilian Portuguese. The expansion required building region-specific model components beyond simple translation.

“Building a truly global Search goes far beyond translation – it requires a nuanced understanding of local information,” explains Hema Budaraju, Vice President of Product Management for Search at Google. Each market demands understanding of local business practices, cultural references, and information hierarchies.

“With the advanced multimodal and reasoning capabilities of our custom version of Gemini 2.5 in Search, we’ve made huge strides in language understanding, so our most advanced AI search capabilities are locally relevant and useful in each new language we support,” Hema states.

Multinational companies can now deploy consistent AI-powered search across international operations while accessing locally relevant information in each market.

Custom Gemini 2.5 powers Google’s search AI engine

Google built a heavily modified version of Gemini 2.5 specifically for search applications. The system processes queries through multiple AI models simultaneously, cross-referencing results to improve accuracy and reduce incorrect information.

Custom Tensor Processing Units and distributed computing systems handle large language model inference at scale, with Google saying AI Mode maintains response times comparable to traditional search while processing conversational queries.

The multimodal system processes text, images and video content within single queries. Quality controls evaluate confidence levels and include caveats when certainty falls below thresholds.

This technical approach differs from general-purpose language models by focusing on actionable information retrieval rather than open conversation.

AI Mode changes how Google makes money from search

Traditional search directs users to external websites where they encounter advertisements and generate revenue for publishers, but AI Mode provides direct answers within Google's interface.

Google faces pressure from ChatGPT, Microsoft Bing and Perplexity as they gain adoption among business users seeking more efficient research workflows. The company must balance user retention with maintaining relationships with website publishers who drive advertising revenue.

News publishers and content creators have documented significant traffic declines since Google introduced AI-powered search features. For The New York Times, the share of traffic from organic search to the paper’s desktop and mobile sites fell to 36.5% in April 2025, down from 44% three years earlier, The Wall Street Journal reported. Some publishers face more severe impacts: Traffic to CNN’s website has dropped about 30% from a year ago.

Research from Ahrefs in April 2025 found that AI Overviews reduced organic clicks to top-ranking websites by 34.5%. Publishers face a difficult choice: they cannot opt out of AI Overviews without removing their content from Google search entirely. “Publishers are kind of in a bind because if you want to opt out of AI Overviews, you opt out of Google Search entirely,” Columbia University’s Klaudia Jaźwińska said in a July 2025 interview with NPR.

“We’ve continued to receive incredibly positive feedback around AI Mode in Search – especially for its ability to handle longer, more complex questions,” Robby notes.

“We’re seeing first-hand how it's empowering people to tackle complicated tasks, from comparing products and planning trips to understanding how-tos.”