Redefining productivity with Google's next-level deep research capabilities
September 18, 2025
Redefining productivity with Google's next-level deep research capabilities
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google Gemini
I use Google Gemini for its three robust capabilities namely, Deep research, Guided Learning and 2.5 flash Chatbot for general business research.
As far as scope is concerned, I use the tool for building my first draft of a research projects through its Deep Research capabilities, use its Canvas feature to build structural research and newsletters documents, and use its guided learning feature to ask building automation framework related queries on tools like MS Power Automate or n8n etc for solving automation problem. Additionally, I use its general purpose chatbot 2.5 flash to understand industry terminologies while working on various industry research projects.
Regarding business problems, Gemini helps me speed-up my consulting reports (research work, error free pre-made reports) and dashboard building work and reduce the turnaround time to nearly half leading more time for me to work on strategic advisory to clients.
As far as scope is concerned, I use the tool for building my first draft of a research projects through its Deep Research capabilities, use its Canvas feature to build structural research and newsletters documents, and use its guided learning feature to ask building automation framework related queries on tools like MS Power Automate or n8n etc for solving automation problem. Additionally, I use its general purpose chatbot 2.5 flash to understand industry terminologies while working on various industry research projects.
Regarding business problems, Gemini helps me speed-up my consulting reports (research work, error free pre-made reports) and dashboard building work and reduce the turnaround time to nearly half leading more time for me to work on strategic advisory to clients.
Pros
- Deep research for getting first business research draft from Gemini, post which i use series of prompts to improve it and use my understanding to refine it further
- Canvas to produce structured business topic research and newsletter. Direct edits to the sections and making client ready reports
- Learning mode to get help on step by step automation of AI workflows
Cons
- Gemini can add detailed siltation of sources for each of the information generated by its 2.6 model. This helps user to dont go for fact check gain. Its another product called NotebookLM holds this capability.
- Sometime it hallucinates, and often produces generic output unless robust prompts are presented. Not everyone knows advance prompting. Hence this can be improved
- Addition of MCP connecters, like its peers ChatGPT, Claude etc can help Gemini to gain users
- Code generation capabilities can be improved as currently it is at basic levels
- It has fasten up the research projects by providing quick, easy and digestible insights on research projects, broadening my understanding of the business to cater clients better
- Its deep research, allowed me to deliver comprehensive insights backed projects to clients quickly. With the help of Gemini deep research, my turnaround time reduced by 50% and productivity got doubled.
Gemini can fix its hallucination and generic output problem to get at part with Perplexity. Additionally, to beat in web search, it can produce citation after every information given. By this it can gain users trust. Sometimes, it doesn't give output only. such instances can be reduced. It may also find some ways to integrate NotebookLM as a direct rival to Perplexity space there. May be as a MCP connector.
It can advance coding capabilities to go hand in hand with Claud by adding IDE with python embedment.
It can advance coding capabilities to go hand in hand with Claud by adding IDE with python embedment.
Do you think Google Gemini delivers good value for the price?
Yes
Are you happy with Google Gemini's feature set?
Yes
Did Google Gemini live up to sales and marketing promises?
No
Did implementation of Google Gemini go as expected?
Yes
Would you buy Google Gemini again?
Yes
Comments
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