Step 1: Audit Your Qwen Visibility Baseline
Open Qwen Chat and Tongyi Qianwen and run your core prompt set in both English and Chinese. Log responses with and without the search toggle. The two states tell you whether your gaps are in training data or in retrieval.
If you sell into Asian markets, also test simplified versus traditional Chinese to detect locale-specific gaps.
Step 2: Check and Configure Crawler Access
Qwen uses Alibaba Cloud crawlers for live retrieval. Check your robots.txt for any blanket Disallow that would affect Alibaba crawlers. Most teams should allow them unless they have a specific policy reason. Live retrieval is one of the few mechanisms you can influence quickly, so do not block it accidentally.
Step 3: Build Chinese Wikipedia and Wikidata Presence
Chinese Wikipedia is a strong signal for Qwen. Audit whether you have an entry, whether it is complete, and whether your Wikidata entity is fully populated with consistent properties (founded date, headquarters, industry, CEO, products). Wikidata feeds cross-language Wikipedia and multiple LLM training pipelines simultaneously, so the effort scales.
Step 4: Translate and Localize Core Pages
Translate five to ten core pages into simplified Chinese: homepage, product, pricing, top comparison, top case study, and core documentation. Use professional translation, not machine translation. Qwen is sensitive to entity consistency, and sloppy translations create confusion rather than presence.
Step 5: Audit and Strengthen Chinese Marketplace Listings
For consumer or e-commerce brands, Tmall, JD, and Taobao listings feed Qwen training signals. If you are on those marketplaces, verify that your listings are consistent with your brand positioning and specifications. If you are not, evaluate whether marketplace presence is worth the broader strategic commitment.
Step 6: Target Chinese and East Asian Trade Press
Caixin, 36Kr, and sector trade publications feed Qwen training. Coverage in these outlets generates durable entity presence. For brands with significant Asian-market ambition, invest in Asian-market PR and analyst relations.
Step 7: Monitor Disambiguation
Brands with generic English names frequently collide with Chinese common nouns or established Chinese brands. Qwen disambiguation is only as good as the entity signals. Test your brand name in ambiguous prompts ("tell me about [brand]" without category context) and measure whether Qwen returns you, a collision, or confusion.
Step 8: Set Up Ongoing Visibility Tracking
Qwen releases happen multiple times per year, each potentially shifting brand visibility. Track Qwen separately from ChatGPT, Claude, and Perplexity because the patterns are different enough that aggregated tracking hides meaningful shifts. Presenc AI monitors Qwen and other Asian-origin LLMs alongside Western platforms on a single dashboard.