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If I Were to Market DeepSeek, I would...
I bet my 3-step plan is better (than yours would be)
Ever had one of those moments when you wish you had a smarter assistant to help you dig through mountains of information or fix a tricky piece of code? Maybe you have even spent hours trying to solve a problem, only to feel like you are getting nowhere.
Now, imagine having an AI that doesn’t just give you surface-level answers but understands the deeper reasoning behind your tasks, whether debugging your code or analyzing complex data.
That’s what DeepSeek offers - AI that goes beyond simple responses and helps you work smarter, not harder. But it came out just in January 2025.
That means it's new and here's how I market it if I were to.
Step 1: Find the Right Positioning
Positioning is the foundation of marketing. If I don’t get this right, no amount of ads, content, or sales efforts will work. Working on this answers three of my big questions:
What makes DeepSeek different? (Unique strengths)
Who will benefit the most? (Ideal users)
Why should they choose DeepSeek over GPT-4? (Clear reason to switch)
1. Identify Strengths
I would start by using DeepSeek myself to see what it does well. I need evidence, not just what the company claims, so my promotions look more solid and promising for the viewer. So, I would test it by:
Asking complex coding questions and see if DeepSeek explains better than GPT-4.
Giving it logic puzzles or math problems to check its reasoning.
Testing long research prompts to see if it provides more accurate insights.
After analysis, I can find if DeepSeek can reason better, handle technical questions, and give more accurate or structured answers. I will then use these strengths in my marketing messages and copy.
2. Compare DeepSeek with GPT-4
Users won’t switch to DeepSeek because it exists, at least after considering the popularity and capabilities of ChatGPT and Gemini. So, I must show people why DeepSeek is better for some tasks. And I would do this by doing side-by-side tests:
Coding help
Give the same coding problem to DeepSeek and GPT-4.
Check: Who explains better? Who fixes errors better?
Complex reasoning
Ask: What is the most efficient way to solve [a tech problem]?
Check: Who gives a step-by-step logical answer?
Research & fact-checking
Give both AIs a complex research prompt.
Check: Who provides more accurate and well-structured information?
As I end this, I will be ready with my hypothetical findings:
DeepSeek explains coding logic better than GPT-4.
DeepSeek follows logical steps better when solving problems.
DeepSeek provides deeper research insights, but GPT-4 is faster.
These strengths would become my key marketing points, and I might use them in every copy and ad I create in the later part of marketing.
3. Talk to Real Users
I would consider talking to those who actually benefit from AI models like DeepSeek to see if DeepSeek solves their problems. The list includes:
Developers → Do they struggle with AI-generated code errors?
Researchers → Do they need in-depth, fact-checked responses?
Business Analysts → Do they need AI for data-driven decisions?
Some potential questions might be like:
What frustrates you about GPT-4?
What do you wish AI could do better?
Would you pay for an AI that solves this problem?
I know I have found the positioning I am looking for when these people confirm that DeepSeek’s strengths match their needs.
Therefore, my final positioning statement would be something like:
DeepSeek is the AI for professionals who need deep reasoning, clear logic, and accurate insights - whether you are coding, researching, or analyzing data.
This would guide all marketing efforts, from web copy to ads and socials.
Let's say I skip this step, and I risk marketing it the wrong way:
❌ If I say, “DeepSeek is just another AI,” no one will care.
❌ If I say, “DeepSeek is faster,” but it’s not, users will leave.
❌ If I target everyone instead of professionals, I won’t get paying customers.
By doing testing, comparisons, and user research, I can confidently market DeepSeek as the best AI for deep thinking - not just another chatbot.
Step 2: Targeting & Segmentation
Now that I know what makes DeepSeek unique, the next step is to find the right people to market it to. If I try to sell DeepSeek to everyone, I will end up convincing no one. Instead, I need to focus on the people who will benefit the most from it.
1. Target Audience
DeepSeek is great at complex problem-solving, deep reasoning, and coding (we found this in step 1). That means my target users are professionals who need an AI that thinks deeper - not just casual users. So, my main audience segments would be:
Developers & Engineers
Need help with coding, debugging, and system design
Want an AI that understands logic better than GPT-4
Example: A software engineer fixing a bug in Python
Researchers & Data Analysts
Need an AI that can process large amounts of information
Want accurate, well-structured insights for research papers or business reports
Example: A PhD student using AI to summarize complex academic papers
Business & Finance Professionals
Need AI for market research, financial modeling, and decision-making
Want data-backed responses instead of generic AI content
Example: A financial analyst using AI to predict stock trends
The reason why I am picky with this audience is because they do not just want an AI that chats. They want an AI that helps them think, analyze, and solve problems.
2. Audience Segmentation
Even within these groups, not everyone has the same needs. So, I would divide them into smaller segments to make marketing more effective.
Segment A.
Developers & Engineers
Beginner coders → Need help learning to code
Experienced developers → Want AI to debug and optimize code
Tech teams → Need AI to automate coding tasks
Marketing angle: DeepSeek helps you write, debug, and improve code - faster and wiser.
Segment B.
Researchers & Analysts
Academics & PhD students → Need deep AI reasoning for research papers
Market analysts → Need AI for data-backed insights
AI enthusiasts → Want to experiment with DeepSeek’s logic skills
Marketing Angle: DeepSeek gives you in-depth, more structured research - no more surface-level AI responses.
Segment C.
Business & Finance Professionals
Startup founders → Need AI for market trends and competitor analysis
Financial analysts → Need AI for forecasting and data modeling
Corporate strategists → Need AI to analyze business risks
Marketing Angle: DeepSeek helps you make smarter business decisions with AI-driven insights.
3. Data for Marketing
Now that I know my ideal users, I can create the right marketing messages for each group. I would use all the above data to optimize these:
Website & Landing Pages
I will create several landing pages for each audience segment so I can use them whenever necessary for better conversions.
One page for Developers: Fix code faster with AI-powered debugging.
One page for Researchers: Get structured, reliable research insights.
One page for Finance Professionals: Make smarter financial decisions with AI.
Creating a landing page and going quiet will not help either.
To build credibility and authority, I will focus on writing blog posts on the website and connecting it with the brand's social accounts where I show real-world tests DeepSeek outperforming GPT-4 in reasoning.
If I try to market DeepSeek to everyone, my message will be too general. But by focusing on developers, researchers, and business professionals, I can create a clear and powerful marketing strategy that speaks directly to the right people.
Step 3: Marketing Channels & Strategies
Now that I know my ideal users, the next step is to figure out where to reach them and how to convince them to try DeepSeek. If I choose the wrong channels, no matter how good the product is, my marketing will fall flat.
So, I must focus on the best platforms and strategies to connect with the right audience.
1. Choosing the Right Marketing Channels
The first thing I would do is figure out where my target users spend their time. Since DeepSeek is a specialized AI tool, I must be present on the right channels that align with the audience I try to reach.
A. Developers & Engineers
Developers spend a lot of time on technical platforms. So, I will focus on reaching where they engage with coding and AI-related content. It might include GitHub, Stack Overflow, X (Twitter), YouTube, and Hacker News.
Then, I will focus on the type of content to attract my ideal clients:
Technical blog posts: Focus on coding tutorials or use cases of DeepSeek helping developers.
YouTube demos: Share real-time comparisons of how DeepSeek outperforms GPT-4 in debugging or solving complex coding problems.
GitHub sponsorships: DeepSeek can be featured in open-source projects where developers work actively.
X (Twitter): Developers often talk about AI on Twitter, so sharing insights, threads, or engaging in conversations would work well.
B. Researchers & Analysts
Researchers and analysts need deeper insights, so platforms like LinkedIn and academic forums are great places to engage them.
I can find these people on LinkedIn, Reddit (r/MachineLearning, r/Artificial), Google Scholar & ResearchGate, and Academic & business newsletters.
Here, my content focus would be:
LinkedIn thought leadership: Share case studies and content around how DeepSeek helps researchers organize complex data.
Guest posts on research sites: Contribute articles about how AI is revolutionizing the research process.
Reddit AMAs: Host Ask Me Anything sessions to engage directly with the AI community.
Academic newsletter partnerships: Promote DeepSeek within research communities where deep insights are a must.
C. Business & Finance Professionals
These professionals want actionable, data-backed insights. They are more likely to be on LinkedIn, X, industry podcasts, and finance-related newsletters (e.g., Finimize, Stratechery). My content focus would be:
LinkedIn posts & ads: Share DeepSeek’s ability to help business decision-makers analyze data and predict trends.
Twitter growth strategies: Promote AI-driven business insights and how it’s transforming industries.
Finance & AI podcasts: Sponsor episodes or participate in discussions about AI’s role in business strategy.
Email marketing: Send targeted emails with case studies on how DeepSeek improves decision-making.
2. Key Marketing Strategies
Now that I know where to find my audience, here’s how I would market DeepSeek.
A. Product-Led Growth
(Let the Product Do the Talking)
I would let DeepSeek prove itself through real-world usage. This is often the most effective form of marketing - when users experience the product firsthand and see the benefits for themselves.
My action plan:
Offer a free trial so potential users can test the AI for themselves.
Create a public leaderboard showing DeepSeek solving problems faster or more accurately than GPT-4.
Publish side-by-side AI comparisons to demonstrate where DeepSeek excels.
This would work because allowing users to test DeepSeek without risk builds trust and lets them see the value. It’s much more effective than just telling them.
B. Community-Driven Marketing
AI users trust real opinions over flashy ads, so I would focus on building a community around DeepSeek.
My action plan would be:
Partner with influential developers and AI researchers who can promote the tool to their followers.
Sponsor open-source projects where developers can use DeepSeek for free and share their results.
Host Reddit AMAs and LinkedIn discussions to directly answer questions and show the AI’s power.
This works because building credibility through trusted experts and user reviews will lead to better, more authentic engagement.
C. SEO & Content Marketing
(For Long-Term Growth)
People will search online for solutions to their AI-related problems, so I need to focus on creating SEO-friendly content that answers their questions and ranks well on Google.
My action plan for this would be:
Write blog posts like - How DeepSeek Outperforms GPT-4 in Debugging Code and Best AI Tools for Accurate Data Analysis in 2025.
Create YouTube tutorials and LinkedIn posts about DeepSeek’s advanced features.
Answer Quora & Reddit questions related to AI reasoning and problem-solving.
This works because, with consistent content, DeepSeek will show up for the right search queries and build authority in AI space over time.
D. Paid Ads (For Immediate Results)
To scale DeepSeek quickly, I would invest in paid ads for high-quality users faster. So, the plan would involve running:
LinkedIn Ads: Target AI researchers, developers, and business professionals with specific ads on how DeepSeek improves their work.
Google Ads: Run search ads targeting keywords like “best AI for coding” or “AI for research insights.”
X (Twitter) Ads: Run ads that showcase how DeepSeek’s reasoning can benefit developers and businesses.
This works because paid ads will help attract new users quickly while organic marketing builds long-term trust and brand recognition.
With these, I can market DeepSeek to the right audience in the most effective way. This combination ensures users see value from the start and trust the product in the long run.
Conclusion
To market DeepSeek effectively, we must start by identifying the right positioning and target audience, then choose the most effective marketing channels and strategies.
By focusing on developers, researchers, and business professionals, I can ensure that DeepSeek reaches the users who need it most.
Using product-led growth will allow potential users to experience DeepSeek’s capabilities firsthand, while community-driven marketing builds trust and credibility.
Combining this with SEO and content marketing for long-term growth and paid ads for immediate reach will help scale DeepSeek efficiently. In the end, it’s about being where my target audience is, speaking to their needs, and offering them real value.
This holistic approach will ensure that DeepSeek stands out in the competitive AI market. But note that this is just my assumption and many more things are involved in this when implementing.
What do you think?
How would you market/promote DeepSeek as a marketer?