Alibaba Cloud’s Model Studio documentation now treats web search as a first-class Qwen capability, not a side plugin. Enable it with enable_search on Chat Completions / DashScope, or add a web_search tool on the Responses API; multimodal models need the multimodal endpoint and streaming. The English docs on web search with large models spell out strategies from default turbo to max, multi-hop agent, and agent_max with a page extractor — plus forced search, domain extensions (weather, stocks, FX) and DashScope-only source lists with citation markers.
That is the SEO angle. Every time a Qwen-powered agent turns search on, someone else’s index — or Alibaba’s retrieval stack in front of it — decides which URLs become answer fuel. DashScope can return search_info.search_results with titles and URLs and optionally inject [1]/[ref_n] markers. OpenAI-compatible Chat Completions, by contrast, often hides sources from the client. Same model family, different transparency depending on which door you used.
Model coverage is broad: Qwen3.8/3.7/3.6/3.5 lines, older Max/Plus/Flash snapshots, Omni variants, and even third-party hosts of DeepSeek and Kimi inside Model Studio in some regions. Strategy support is uneven — several Qwen3.8 IDs want the Responses API for agent-style multi-turn retrieval rather than search_strategy: agent on Chat Completions. If you are evaluating “does Qwen cite us?”, match the exact endpoint and strategy your customer’s app actually calls.
Compared with Google AI Overviews or Bing Copilot, this is developer-mediated answer search. Brands will not “rank” in a public Qwen SERP so much as appear (or vanish) inside whatever corpus and live web fetch the app configured. That pushes classic China SEO hygiene — clean titles, factual chunks, fast mobile pages, Baidu-indexable content — into the AI layer, while also making server logs and brand monitoring for “mentioned in Qwen” painfully underserved today.
Opinionated advice: if you sell into Alibaba Cloud customers or build agents on Qwen, turn sources on in staging and log which domains win. If you publish for Chinese commercial intent, assume Qwen web search is another crawler-shaped consumer of your public HTML. The winners will look a lot like the winners in AI Overviews elsewhere — clear entities, quotable facts, and pages that survive extraction without collapsing into marketing fluff.
Region and model matrices in the docs are themselves a warning label. Beijing, Singapore and “Global” workspace deployments expose slightly different Qwen and third-party line-ups; Omni models force the agent strategy; some Flash/Max snapshots refuse agent search on Chat Completions. Agencies running “Qwen SEO audits” with a single Singapore key against a client’s Beijing app will mis-report citation behaviour. Match region, model ID, protocol and search_options before you declare a page invisible to Qwen.
Finally, connect this to Baidu. Alibaba’s web-search tool is not a Baidu replacement for end users, but it is another retrieval customer of the open web — and of vertical data feeds for stocks, weather and the like. Pages that already rank and render cleanly for Baidu spidering are the least-bad candidates for extraction. Thin doorway content and pure image PDFs will fail here for the same reasons they fail AI Overviews in the West. The publishers who win early Qwen citations will be the ones who treat Model Studio’s search strategies as a new, partially documented crawler class — and who log the outcomes.