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Google Gemini’s best AI tricks finally land on Microsoft Copilot

Copilot app for Mac
Microsoft

Microsoft’s Copilot had a rather splashy AI upgrade fest at the company’s recent event. Microsoft made a total of nine product announcements, which include the agentic trick called Actions, Memory, Vision, Pages, Shopping, and Copilot Search. 

A healthy few have already appeared on rival AI products such as Google’s Gemini and OpenAI’s ChatGPT, alongside much smaller players like Perplexity and browser-maker Opera. However, two products that have found some vocal fan-following with Gemini and ChatGPT have finally landed on the Copilot platform. 

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Deep Research 

Everyone is big on Deep Research these days. Gemini has it. ChatGPT does it, too. Even Perplexity built one. It was surprising to see why the vanilla Copilot experience has been lacking such a meaningful tool, despite Microsoft being one of OpenAI’s closest partners and investors. 

Well, that finally changes. Deep Research is now part of the Copilot bundle. The idea is pretty self-explanatory. If you are looking for a comprehensive, well-drafted, and in-depth report — instead of vague chatbot answers — Deep Research is where you go. This is what a Deep Research report looks like:

It looks up reliable sources, compiles information in the form of a research document (complete with all the cited sources), and saves you hours upon hours of tedious manual research. I’ve loved its implementation on Gemini, and I’m glad Copilot is finally getting one. 

“Copilot can find, analyze and combine information from online sources or large amounts of documents and images,” says Microsoft. You don’t even need a Microsoft account to launch a Deep Research query, and a Copilot Pro subscription is not mandatory.

Microsoft will give you five free Deep Research queries each month, while subscribers will get an unlimited number of attempts and priority access. Late in March, the Microsoft 365 Copilot platform got access to an AI Researcher tool that can pull off something similar by analyzing online sources as well as local files. 

Podcasts 

AI podcasts first made a splash with Google’s NotebookLM product, and barely a few weeks ago, it finally made an appearance on Gemini. I gave it a try and found it to be a pretty impressive tool that can turn even boring information into an intriguing immersive listening experience

Google refers to these AI podcasts as audio overviews, but Microsoft is simply referring to them as podcasts. The overarching idea is similar, but Microsoft is offering a couple of extra perks. 

You can’t interact with podcasts created by Google Gemini, but Copilot will let you intervene and resume. “While listening, you can continue to talk and interact with Copilot to learn more and keep the conversations going,” says the company. 

A cool aspect is that Copilot can turn offline resources you upload, as well as the websites you suggest, into podcasts. Another feature that ties into the theme is Copilot Search, which is essentially Google Search AI mode, but for Microsoft’s Bing engine.

Nadeem Sarwar
Nadeem is a tech and science journalist who started reading about cool smartphone tech out of curiosity and soon started…
I let Gemini turn complex research into podcasts. I’ll never go back
Audio Overview in Gemini.

The shift away from Google Assistant, and into the Gemini era, is nearly in its last stages. One can feel nostalgic about the eponymous virtual assistant, but it’s undeniable that the arrival of Gemini has truly changed what an AI agent can do for us.

The language understanding chops are far better with Gemini. Conversations are natural, app interactions are fluid, integration with other Google products is rewarding, and even in its free state, Gemini takes Siri to the cleaners even on an iPhone.

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Google’s latest AI model, Gemini 2.5 Pro, is now available for all users
Gemini Live running on Google Pixel 9a.

Last yesterday evening, Google announced that its latest Gemini 2.5 Pro model is now available to all users. The latest version of Gemini is available in an experimental state, and you can try it for yourself by going to Gemini.Google.com. For now, this model is only available via the web, although Google says it's working on bringing it to the mobile app as quickly as possible.

Before trying it out, be warned that free users are subject to much tighter usage limits. Depending on your query, you can run out of allocated searches in only a few questions (for example, if you ask it to compare the cost of living of European Union nations.) For the best experience, Google recommends subscribing to Gemini Advanced.

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Microsoft 365 Copilot gets an AI Researcher that everyone will love
Researcher agent in action inside Microsoft 365 Copilot app.

Microsoft is late to the party, but it is finally bringing a deep research tool of its own to the Microsoft 365 Copilot platform across the web, mobile, and desktop. Unlike competitors such as Google Gemini, Perplexity, or OpenAI’s ChatGPT, all of which use the Deep Research name, Microsoft is going with the Researcher agent branding.
The overarching idea, however, isn’t too different. You tell the Copilot AI to come up with thoroughly researched material on a certain topic or create an action plan, and it will oblige by producing a detailed document that would otherwise take hours of human research and compilation. It’s all about performing complex, multi-step research on your behalf as an autonomous AI agent.
Just to avoid any confusion early on, Microsoft 365 Copilot is essentially the rebranded version of the erstwhile Microsoft 365 (Office) app. It is different from the standalone Copilot app, which is more like a general purpose AI chatbot application.
Researcher: A reasoning agent in Microsoft 365 Copilot
How Researcher agent works?
Underneath the Researcher agent, however, is OpenAI’s Deep Research model. But this is not a simple rip-off. Instead, the feature’s implementation in Microsoft 365 Copilot runs far deeper than the competition. That’s primarily because it can look at your own material, or a business’ internal data, as well.
Instead of pulling information solely from the internet, the Researcher agent can also take a look at internal documents such as emails, chats, internal meeting logs, calendars, transcripts, and shared documents. It can also reference data from external sources such as Salesforce, as well as other custom agents that are in use at a company.
“Researcher’s intelligence to reason and connect the dots leads to magical moments,” claims Microsoft. Researcher agent can be configured by users to reference data from the web, local files, meeting recordings, emails, chats, and sales agent, on an individual basis — all of them, or just a select few.

Why it stands out?

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