ChatGPT and DeepSeek, as two popular products in the current AI field, have attracted widespread attention from users around the world with their powerful language processing capabilities and intelligent interaction functions. However, the two products have their own advantages in terms of user experience, functional features, and application scenarios. This article will conduct an in-depth comparative analysis of ChatGPT and DeepSeek, exploring their advantages, disadvantages, and applicable scenarios in detail from multiple dimensions such as product positioning, technical architecture, market performance, and actual user experience.
During the life cycle of the product,User perception always lags behind product updates。 What really makes a product stand on is not how advanced the technology is, but whether it always stands in the user’s perspective and understands their real needs. In today’s rapid development of artificial intelligence, how products are close to users has become particularly critical.
1. Targeting and target users: Who do they want to solve for what problem?
In the past information age, when we encountered something we didn’t know, we naturally thought of “Baidu”. Indeed, Baidu’s knowledge coverage is very comprehensive, and we have both personal opinions and authoritative answers to our questions, which undoubtedly gives us many thinking paths. But Baidu’s answer is oftenLack of structural and reasoning chains,Users need to rummage through and summarize the answers by themselves.
With the rise of artificial intelligence chatbots (such as ChatGPT, Doubao, DeepSeek, etc.), people are gradually using “ask AI” as the main way to find answers to their questions. These tools not only provide quick answers, but also perform logical reasoning and structured expressions, saving users a lot of time in sifting through information and thinking. So today we will talk about the experience and advantages and disadvantages of ChatGPT, the “leader” of AI products, and DeepSeek, the “newcomer” that has exploded in China.
2. Strategic layer: Positioning differences between ChatGPT and DeepSeek
Technology core：
- ChatGPT is based on the GPT series of large language models, adopts the Transformer architecture, and the core mechanism is self-attention, allowing it to efficiently understand contextual information and handle long-distance dependencies without relying on traditional LSTM or RNN structuresIt can also make long-distance connections。
- Based on the DeepSeek-VL and DeepSeek-Coder model series, DeepSeek adopts an open-source large model training strategy that emphasizes Chinese understanding and localization optimization.
3. Market performance analysis: search popularity and geographical penetration
Through Baidu index data (May 30 to June 28, 2025), it can be seen:
- DeepSeek is more searchable, which is significantly active on weekdays, indicating that it has more advantages in improving office efficiency.
- ChatGPT’s popularity is relatively stable, users are more widely distributed, including Hebei, Shaanxi and other regions.
Both have outstanding performance in Guangdong, Zhejiang and Shanghai, and other areas with intensive technology and education resources, reflecting users’ sensitivity and acceptance of AI applications.
4. ChatGPT’s product experience: a calm sense of boundaries and a warm sense of use
4.1 ChatGPT: A Friendly Conversational Experience
Interface: Minimalist black, white and gray style, highlighting immersive interaction.
What does a product manager need to do?
In the process of a product from scratch, it is not easy to do a good job in the role of product manager, in addition to the well-known writing requirements, writing requirements, writing requirements, there are many things to do. The product manager is not what you think, but will only ask you for trouble, make a request:
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How to ask ChatGPT questions? The more specific the question description, the more valuable the answer
In conversations with ChatGPT, the way you ask questions often directly determines the depth and quality of your responses. MoreSpecific, contextual, and character-settingThe more accurate the model’s understanding of user needs is, and the more realistic the output will be.
Suggested Questions: Describe your problem situation in as much detail as possible
- Speak upCurrent doubts.
- Provide questionsBackground of the result.
- Be clear about yoursDesired output method(e.g., in the form of tables, concise language, etc.).
- If possible, point out how it relates to the task you’re doingcorrelation,For example, to quote the content of its answer above.
- Yes“Background-Role-Target-Output”The problem of four-dimensional structure construction.
Example 1: Essay writing assistance scenario
role: I am a literature undergraduate graduate who is writing my graduation thesis, and you are a literature teacher with experience in thesis guidance.
target: Guided me to write an outline of my thesis around the character image of “Liu Xingxing” in Jia Pingwa’s novel “Happy”.
background: It is necessary to start from the text to analyze the evolution and social reality reflected by the character image, and ensure that it has certain research value.
output: Please output it in the form of an outline of the paper with suggestions for entry points.
Example 2: Code teaching scenario
role: You are a veteran Python engineer.
Mission objectives: Please help me, a new intern, understand a quick-sorted piece of Python code.
Key points: Explains why for loop nesting is used, conditional judgment logic, and key points of observation for debugging.
Output requirements: Please explain step by step in conjunction with the running process, and supplement complete code examples to facilitate my application to actual projects.
Example 3: Ask a question with context
Such questions will significantly enhance ChatGPT’s reasoning depth and content relevance.
4.2 ChatGPT’s “Sense of Boundaries”
In the process of using ChatGPT, many users have gradually replaced traditional search engines with it. For example, my friend Xiao Jie said that she basically no longer “Baidu”, but habitually “ask ChatGPT”:
Xiao Jie said: “It can not only give me more comprehensive and professional information, but also automatically summarize the content in a structured manner, which is much more efficient than searching and sorting by myself!” ”
But during the experience, she also discovered someboundaryandlimitIt is these limitations that make us realize that ChatGPT is a “principled” intelligent assistant and not an information tool that “can give anything”.
Xiao Jie mentioned: Once, I wanted to ask ChatGPT to show the complete lyrics of Jay Chou’s “Sunny Day”, and it did not directly present the content, but clearly explained the reason:
At the same time, it will also provide information such as the song’s creative background, emotional theme, and musical style.Analyze instead of showing lyrics, conveying copyright awareness and product bottom line in content services.
In the context of the rapid popularization of large models and the proliferation of AIGC creation,This respect for knowledge products is the biggest difference between AI tools and “pirated crawlers”, and one of the most fundamental reasons why AI products are “trustworthy”.
4.3 The “right-hand man” of work efficiency: from code generation to logic error correction
In life, some people engage in conversations with ChatGPT for entertainment and exploration purposes – asking various interesting questions, playing logic games, writing stories, and generating jokes; while others have already regarded it as suchAn important assistant for productivity。
My friend Zi Qi is a programmer who has been working in code development for over seven years. He shared, “Previously, almost all the code was typed out by me, but after engaging with ChatGPT, as long as I told it the current needs and context, it could quickly generate usable code blocks, saving me a lot of time on repetitive labor.” ”
Not only that, when the code reports an error, it will also directly paste the error information to ChatGPT, which can quickly locate the error logic, attach the corrected code, and explain sentence by sentence: “This error is because your parameter type does not match, change it to int type and try again.” ”
“Every conversation with ChatGPT is not just about messaging, it’s more like communicating with a partner who understands your thinking, can correct your mistakes, and gives encouragement,” Ziqi said. ”
Even if there is a logical or conceptual error in your question, it does not directly “point out the error”, but:
- tried to start withYour anglere-understanding the problem;
- Then explain clearly where the logic is wrong;
- Then give a reasonable answer after correction;
- Finally, sometimes there are humane responses such as “thank you for your good question” or “I hope I can help you”.
This “warm” interactive experience is believed to be an important reason why many people firmly choose ChatGPT.
4.4 “Room for improvement”: Details that ChatGPT still needs to be continuously learned
1. There is still room for improvement in the adaptation of Chinese cultural content
Although ChatGPT excels in English knowledge, code, and creative writing, there are still certain errors when it comes to Chinese poetry and traditional literary content.
For example, when I asked it for the translation of an ancient poem “Su Mu Zhe”, it provided the correct poem name, but the content quoted another poet’s version, resulting in a mismatch between the verse and the author. Situations like “the topic is right and the content is wrong” occasionally occurs in Chinese cultural materials.
Once I point out the problem, though, it will:
- Quickly admit the mistake and apologize;
- re-give the correct answer or supplementary explanation;
- Thanks for my feedback to help it refine its answers and not go wrong next time you ask a similar question.
This feedback mechanism allows users to feel the following during use:ChatGPT is not perfect, but it is “communicative, can learn, and is willing to adjust”, which is more trustworthy than mere accuracy.
2. Occasional inaccuracies in mathematical operations
Let ChatGPT tellRecursive callsAlthough it explains that “the decentralization of 10 may not meet the nature of the large top pile, and the next round may be needed), so the latter sentence (9>10 may be just a hypothesis, but it will always make people feel that it is not accurate enough) is out of standard. The control of the details of the number comparison shows that ChatGPT’s inaccurate grasp of the size of numbers still needs to be improved, or that it does not give appropriate examples.
5. DeepSeek’s product experience: accurate and pragmatic, but there is still room for polishing
Interface: blue and white tone, elegant and simple, conspicuous functions
Foreword: In terms of language, large language models are divided into two major languages: English and Chinese. The training corpus of foreign large models is mainly in English, so the processing ability for English corpus is very strong, but the processing ability for Chinese is not necessarily stronger than that of domestic large models.
For manufacturers, as long as there is a sufficiently excellent professional corpus and powerful computing power, a relatively good model can be obtained after certain training, and the actual ability must be considered from multiple angles.The truly significant differences between large models will be reflected in specific user scenarios or B-side businesses.
5.1 Academic assistance ability: better understanding of Chinese universities and closer to academic norms
The biggest highlight of DeepSeek is that it is in itThe adaptability of academic writing and essay assistance is extremely high：
- Be able to understand the writing norms of domestic universities such as literature review, research background, and topic selection value;
- It can be combined with the content of domestic databases such as CNKI for structured generation;
- Support multiple rounds of questioning to design research questions, propose paper frameworks, and provide reference citations.
On domestic social media platforms such as Xiaohongshu and Bilibili, a large number of bloggers have shared how to use DeepSeek to write graduation theses efficiently, which shows the popularity of DeepSeek among college students.
However, it should also be noted that many universities currently require AIGC (AI-generated content) to be detected, so users are advised to do moreAuxiliary toolsBut it is notFull text replaced。
Meanwhile, DeepSeek is inEconomics and managementWe have a wealth of expertise and can provide detailed explanations and multi-dimensional thinking. For example, when I asked it to analyze the development trend of Wanda Plaza on the commercial canvas, it could accurately present each element and provide examples for comprehensive analysis.
5.2 Instant database update: Helps product market perception
You can take advantage of DeekSeek’s knowledge base behind it to update the content moreClose to “real-time”, responding quickly to domestic policies, hot events, platform public opinion and other information. Not only did it improve the Q&ATimeliness, also brought to usersMarket analysis and content trend insightsability. In particular, it provides more channels for product people to capture market hotspots and explore market demand.
In the “Urban Tourism Product Development Demand Trend Analysis”, DeepSeek can be conducted based on public data on the InternetHot spot induction, and output more detailed user pain point analysis and product plan formulation, which can provide a highly generalized product directional reference for management or product personnel.
5.3 Combine with new and old products to achieve a “leap”
In addition to its outstanding performance in academic and office scenarios, DeepSeek stands out as oneOpen source, free APIThe large model was also quickly “taken away by various tools”. For example, MindMaster supports one-click mind map generation and knowledge context after integration, which can greatly improve the efficiency of knowledge organization and structured expression. The CNSD blogging platform also integrates it to help bloggers write more eye-catching articles. In addition, it is also used in education and entertainment apps, continuing to broaden the usage scenarios and continuously optimizing the user experience.
5.4 Improvement space: expression interruption, missing images, and semantic repetition to be optimized
(1) Interrupted answers & lack of thinking feedback
During conversations with DeepSeek, there are occasional interruptions in answers. For example, when I was consulting about the summer maintenance tips of the plant “Gyokuro”, the reply stopped abruptly in the middle, thinking that the system would crash, but in fact the results had not yet been loaded.
If this can be doneincrease“Generating” prompts or “thinking”animation, which will greatly improve user peace of mind and patience.
(2) Image generation is not supported for the time being
DeepSeek cannot generate images directly, but it provides descriptive text as a reference. It can be copied to the product output of flowcharts, prototypes, and sketches for design.
(3) The small dot answer is slightly redundant
DeepSeek often uses the method of “pointing points + summarizing” to structure the output, but in some answers, the semantic duplication between small dots and the structure is slightly cumbersome, affecting the efficiency of information acquisition.
The meanings expressed in the third and fourth points on the diagram are essentially very similar, and the core is to reflect on one’s own shortcomings and shortcomings by reviewing recent events.
(4) Lack of interactivity and content citation
DeepSeek does not currently support selecting the answered content“Quotation question”alsounablewilldialogueThe result is generated linkshare。 This limits flexibility in work scenarios such as group collaboration and cross-device migration.
In contrast, Doubao and ChatGPT are slightly better than DeepSeek in this regard, both of which not only support quotation-based questioning, but also connect and supplement the above content. At the same time, ChatGPT hasShare the linkThis can not only increase user visits, but also enhance the connection between users, thereby further increasing users’ stickiness to the product.
(5) Logical thinking judgment and language discrimination ability need to be optimized
For example, this logical question “The school asked Xiao Hu to participate in a public welfare activity, Xiao Hu didn’t want to go, and he shirked it in every way, but the school had to force a person to go, thinking about it, so finally guess – who went?” “，
ChatGPT answered correctly in a few seconds, but unfortunately, DeepSeek thought for 59 seconds and finally answered incorrectly. It also shows that DeepSeek still has room for improvement in logical problems, and it still needs to continue to use massive data to train better models.
6. Conclusion
ChatGPT and DeepSeek are essentially language models, but their product experiences have their own “characters” – one is like a friend, the other is like an assistant. ChatGPT makes you feel understood, and DeepSeek makes you feel supported. Different products present their own unique styles and potential in the user experience, but as long as they can“Close to the user”It is a good product to integrate into people’s daily learning, work and creation.
