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AI Rank

DeepSeek

DeepSeek burst onto the scene in early 2025 with models that rival GPT-4 at a fraction of the cost. Its reasoning-focused approach and transparency have made it popular with developers and researchers worldwide.

In this guide

  • DeepSeek's rise and significance
  • How DeepSeek-R1's reasoning model works
  • Web search and real-time capabilities
  • Why tech-savvy audiences may use DeepSeek
6 min read Prerequisite: Model Comparison
Dec 2024

Knowledge Cutoff

64K

Context Window

Yes

Web Search

Open

Source Weights

The DeepSeek Phenomenon

DeepSeek, developed in China, shocked the AI industry by achieving GPT-4 level performance with dramatically lower training costs. This matters for your brand visibility because:

DeepSeek Models

Flagship

DeepSeek-V3

Mixture-of-experts model with 671B total parameters. Achieves frontier-level performance on coding, math, and reasoning benchmarks.

Reasoning

DeepSeek-R1

Reasoning-first model that shows its "thinking" process. The first to successfully integrate web search into chain-of-thought reasoning.

DeepSeek Coder

Specialised coding model used widely in development tools and IDEs.

Key Takeaway

DeepSeek's transparency is unique.

DeepSeek-R1 shows its reasoning process, including when and why it searches the web. This transparency gives insight into how your content might be evaluated and used. Other AI assistants don't reveal this.

Web Search with Reasoning

DeepSeek-R1's "Deep Thinking" mode combines reasoning with web search. When activated:

1

Analyses the question

Determines what information is needed and what might be outdated

2

Searches the web

Fetches current information from relevant sources

3

Reasons through the data

Combines training knowledge with retrieved information

4

Shows its work

Displays the thinking process, including source evaluation

This transparency means you can actually observe how DeepSeek evaluates your content when answering questions, giving you valuable insight for optimisation.

Optimisation Strategies for DeepSeek

1. Clear, Logical Content Structure

DeepSeek's reasoning focus means it values well-structured information:

  • • Present information in logical sequences
  • • Use clear cause-and-effect explanations
  • • Break complex topics into step-by-step explanations

2. Technical Accuracy

DeepSeek's user base skews technical. Accuracy matters more than polish:

  • • Include precise technical specifications
  • • Cite sources for claims and statistics
  • • Keep content factually up-to-date

3. SEO for Web Search

Like other models with web search, SEO impacts visibility:

  • • Optimise for technical and product queries
  • • Target developer and researcher audiences
  • • Ensure fast-loading, accessible pages

Who Should Prioritise DeepSeek?

Tech companies and SaaS products

DeepSeek's developer-heavy user base makes it important for B2B tech brands.

Brands with Asian market presence

DeepSeek has strong adoption in China and across Asia. If you target these markets, visibility matters.

Technical documentation publishers

DeepSeek excels at technical queries. Clear documentation ranks well in its reasoning process.

Technical Implementation

Use schema markup for technical content like APIs, products, and software to help AI systems correctly identify and present your technical information.

Technical Schema

Sources