Why ChatGPT is better than DeepSeek
DeepSeek initially had high hopes. As an AI chatbot marketed as a strong competitor to ChatGPT, it promised intelligent conversational capabilities and experiences.
ChatGPT 's Deep Research tool is great for digging into almost any topic you choose, but it still needs some improvements to be truly useful. After using Deep Research, many people think it would be much better with these additional features.
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When using ChatGPT's Deep Research, people often answer follow-up questions to provide more context for the tool. However, they wish they could use customizable parameters instead.
Think of this feature as filters when shopping online. Many people would love to be able to select the number of resources they want ChatGPT to analyze, along with the published time frames. Furthermore, it would be great to be able to search based on different keywords.
Customizable parameters would make the research much more organized. The results would be worth the time ChatGPT spends doing Deep Research. Until that happens, there is at least a way you can force ChatGPT to use high quality sources .
ChatGPT's Deep Research feature can present information in a variety of ways. For example, the tool will use tables when comparing statistics or other aspects. In other cases, the tool will present information in comprehensive subsections.
While the layout options are great, many people wish ChatGPT would let them choose how they want the tool to present information. Sometimes you'll see content presented as sentences when you'd rather use a table.
Sometimes you can use prompt to ask ChatGPT to present information in the format you prefer, but unfortunately it doesn't always listen.
Perhaps the biggest complaint people have about ChatGPT’s Deep Research tool is the monthly credit usage. While this is fine for casual users, 10 monthly queries is not enough for those who regularly need to do comprehensive research.
10 queries per month is understandable for a free user, but as someone paying $20/month for ChatGPT, you’ll obviously feel like you’re not getting the best service possible.

At a minimum, the Plus plan should have 15-20 queries per month. Users are willing to pay more for higher-tier subscriptions. OpenAI can incentivize people to sign up for these plans to provide a better user experience and increase revenue.
People use ChatGPT for a variety of conversations, whether they’re planning a new chapter in their lives or just trying to get their current thoughts out. As you add more conversations, the interface becomes clumsy and disorganized. Frustratingly, there’s no way to differentiate between regular conversations and discussions that have used Deep Research.
While it is possible to create new projects via the sidebar, many people would like ChatGPT to automatically organize their chats using Deep Research. This would be a nice improvement to the ChatGPT UI and not too difficult to implement.
Even if an app doesn't have its own section, a point of differentiation - like an icon - would be helpful.
Custom GPTs are a lesser known feature of ChatGPT. Many people like the fact that they can easily get the exact type of feedback they are looking for, and custom GPTs are useful for any preference. Unfortunately, you can't integrate them with the Deep Research feature at this time.
Responses will be much more accurate if they have the context of a custom GPT. This is especially true, since some common conversations have multiple threads.
We don't know how this is possible. But if there is a way to integrate Deep Research and custom GPT, no other AI tool can compete in this area.
Many have compared ChatGPT's Deep Research to similar tools, such as Microsoft's equivalent Copilot . When it comes to detailed feedback, Deep Research outperforms its competitors. But at the same time, you'll sometimes see very long paragraphs after the research is finished.
Skimming on a screen is much harder than reading a book, and you will sometimes miss key points in your research. When this happens, your research takes much longer than it should. Breaking up text into smaller chunks is a simple but effective solution.
If all the text is really important, ChatGPT can split the text into smaller chunks. That way, you can easily identify the most essential information.
Inaccurate information is one of the many big problems with ChatGPT, and sadly, this also affects the Deep Research feature. You can filter out certain sites when researching through the search engine, but this is not the case when using Deep Research - which means you have to be extremely careful to double-check resources.
Similar features exist in other types of apps, such as website blockers. Users can enter a URL to exclude a website from search. This will increase the time it takes to complete these tasks, but it will be a huge success.
ChatGPT has some cool voice features, but none of them apply to Deep Research. You have to write a text prompt and get a text response. While people are generally happy with these searches, sometimes they want to use audio.
In addition to speaking to Deep Research, many people would love to have written feedback, like the tool telling them about their findings and providing a transcript afterwards. This would be interactive and beneficial for those who prefer to learn by listening rather than reading.
OpenAI will certainly be adding new features to ChatGPT’s Deep Research tool in the future, and the tool should prioritize some simple yet effective additions. Customizable parameters would lead to more accurate findings, and more control over the layout of the information would be nice.
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