A couple of years ago a friend who sells enterprise software told me he had posted two hundred answers on Zhihu, covering every related topic. I asked about the data. He said there was none. Two hundred answers added up to a dozen upvotes. Every day he had operations watch the topic list and, when a new question appeared, send a templated answer. He kept that up for three months. He treated Zhihu as a place where post volume decides exposure.
Two hundred answers, a dozen upvotes: what Zhihu looks at
Zhihu is held up by expertise. People come to find an answer, and the scoring is different from a feed platform. Douyin looks at plays and completion rate. Xiaohongshu looks at interaction data. Zhihu looks at upvotes, saves, and whether the answer was collected into a related topic. None of those can be piled up with a short-term operation. An answer gets upvotes only if it actually solves the asker’s problem. A save means someone expects to come back. Whether the content itself has value is the standard every later tactic has to meet.
A lot of people picture a Zhihu matrix as one answer under one question, and more answers mean wider coverage. That arithmetic does not fit Zhihu, for two layers of reasons. The surface layer is judgment. The same template answer under dozens of questions is something Zhihu recognizes more strongly than most platforms, from throttling through to a ban. Under that, the approach gets no data. Zhihu’s traffic follows content quality. A new answer is initially shown to a small number of users, and if nobody upvotes or saves it, it stops being pushed. More templated answers are still a pile of answers nobody reads. The ongoing traffic from one highly upvoted answer under a question is more than dozens of ordinary answers added together. My friend later changed the approach. He answered four questions a month, and spent two days on research and writing for each one. Three months later one of those answers had more than two thousand upvotes, and it brought more inquiries than the previous two hundred answers combined.
Split accounts by field, and where the line is
The axis for several accounts is the field. One person answering in several unrelated fields is easy to judge as cross-field marketing. Once the account’s professional profile goes fuzzy, weight does not accumulate, and it does not get related topic recommendations. If the business itself sits in one vertical, split by subtopic. Enterprise software can be three accounts: one on technical implementation, one on selection and comparison, one on implementation cases and mistakes already made. Each account keeps accumulating weight in its own slice. The angle of the answer also fits the context: the technical account talks about implementation, the selection account talks about comparing parameters, the case account talks about what actually happened. They cite each other and they do not repeat. Accounts should not upvote each other. That is the manipulation that is easiest to recognize, and the penalty is usually shared. Several accounts take the hit together.
Zhihu enforces its rules fairly strictly among platforms in China. A WeChat ID or QR code in the body, an off-site link, a prompt such as “message me,” and the same contact details pasted across comment replies all count as violations, handled from throttling to a ban. A comparatively steady approach is to make the content solid enough that people who need it find the profile on their own. Profile information can be filled in within the rules. Another path is a natural reference inside the content, for example noting where the full document can be looked up when you mention a solution. That gives the reader something further to read. Both paths require the content itself to have quality.
What a script can do, how long results take, and how to set up devices
A script can do three jobs. Watch the topics you follow for new questions, pick out the relevant ones and alert you immediately, because answering early carries more weight. Turn scattered data, cases, and industry reports into structured material you can call up while answering. Help with layout. The Zhihu editor has requirements for format, images, and citations, and that part is repeated work. Three jobs it cannot do: write the answer automatically, because the argument has to be built for that specific question, a template is obvious at a glance, and it gets no data; interact automatically, because farming upvotes, saves, and bulk comments runs into detection that is more mature than many people think; and bulk-repost, because moving something over unchanged is judged as duplicate content and is unlikely to rank as the first post.
Results on Zhihu are slower than on most platforms. The first wave of weight usually arrives in three to six months, and steady search traffic starts after that. If you want a return inside a month, this platform does not fit. Lead quality is a bit higher. Where search demand in the field is clear, such as software selection, industry solutions, and specialist technical questions, the inquiry conversion Zhihu brings is usually a tier above short video, because the people arriving are already looking for a solution. The test is whether you are willing to spend half a year on a traffic source that lasts. If you are, it is worth the time. If you are not, put the effort into short video. A tool can take topic-watching and layout off your hands. The time spent writing the answer cannot be removed, and that is more obvious on Zhihu than on other platforms.
On devices, Zhihu weight comes from accumulated content. An account needs about half a year of care before it performs steadily. The sunk cost of the account is much higher than the cost of the device. If several accounts run separately, putting them on iPhones is the iPhone cluster control setup: one central control with a few devices, each with its own system environment. iPhones of the same model let a script be reused across devices, so you do not tune coordinates for each phone. On count, stay restrained. Three accounts done seriously beat ten accounts filled with template content. Match the devices to that count and stop there.
For more, read Xiaohongshu batch note layout and scheduled publishing: a cluster control walkthrough, One system for Douyin, Xiaohongshu, and Kuaishou, How do you run several Xianyu stores with Apple cluster control?, and Batch phone automation for cross-border e-commerce: from product pick to customer service.
About EasyClick: A mobile automation script development platform covering three phone ecosystems: Android without root, iOS without jailbreak, and HarmonyOS. It also offers Apple script writing, Apple cluster control, Android cluster control, remote cloud control, and AI phone cluster control. → Explore all products · Apple cluster control
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