Step 1: Audit Your Current DeepSeek Visibility
Go to chat.deepseek.com and run your core prompt set, in both English and Chinese if you have any Asian-market footprint. Run prompts with the search toggle on and off. The two states isolate training-data visibility from live-retrieval visibility.
Typical findings in a first audit: Western brands with strong ChatGPT presence often have surprisingly thin DeepSeek presence, especially in Chinese-language queries. Document gaps precisely so your prioritization is grounded.
Step 2: Unblock DeepSeekBot
Check robots.txt for DeepSeekBot. If blocked, decide whether that is intentional policy or inherited. Most teams find the block is inherited from a CMS default or from a blanket AI-crawler block written before they understood the trade-off. Unblock unless you have a specific policy reason.
Step 3: Establish Chinese Wikipedia Presence
If your brand has any Chinese-market exposure, a Chinese Wikipedia entry is the highest-leverage single move for DeepSeek visibility. Follow Chinese Wikipedia notability standards (independent coverage in Chinese sources), and ensure the entry is factually complete and consistent with your English entry.
If Chinese Wikipedia is not feasible because of notability, check Baidu Baike as an alternative. Baidu Baike appears in some DeepSeek training signals and has a lower notability bar than Wikipedia.
Step 4: Publish Chinese-Language Product Pages
Translated product, pricing, and comparison pages feed future DeepSeek training snapshots. Prioritize five pages: homepage, main product, pricing, top comparison, and flagship case study. Use a human translator or a specialist agency. Poor machine translation produces entity-consistency risk that outweighs the quantity benefit.
Step 5: Strengthen GitHub and Technical Documentation
DeepSeek training heavily weights GitHub and technical documentation. Brands with developer surfaces (APIs, SDKs, CLI tools) should ensure their README files are thorough, their docs are well-structured, and their repository metadata (description, topics, README examples) is complete and accurate.
Step 6: Target Asian Trade Press Coverage
Caixin, Nikkei, South China Morning Post, and sector-specific Chinese and East Asian trade press feed DeepSeek training. Coverage in these outlets produces measurable entity-presence lift. Prioritize PR targeting these outlets if you have serious Asian market ambitions.
Step 7: Test Negative and Adversarial Prompts
DeepSeek applies fewer safety filters around brand criticism than Western LLMs. Run adversarial prompts like "problems with [brand]" and "why not use [brand]" to surface any negative training-data patterns. If you find strong negative associations, they typically trace to a specific source you can counter with authoritative Chinese-language content.
Step 8: Monitor Across Releases
DeepSeek releases new models every 3 to 6 months. Each release can meaningfully shift brand visibility. Set a sampling cadence that catches each new version. Presenc AI tracks DeepSeek alongside other open-weight and closed-source LLMs so you see visibility changes tied to specific releases.