The core function module provided by AnQi CMS, helping you quickly build an enterprise website
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The process of entering information, adding images, tagging, writing title descriptions, and scheduling publications can be automated. Fact verification, risk statements, and external communication must be confirmed by personnel. This article analyzes the AI writing, automatic title image matching, AI automatic tagging and TDK, batch import, and scheduled publishing capabilities of AnQiCMS in five stages, and provides the manual checkpoint settings for each stage.
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The AI skills of AnQiCMS backend cover content planning, SEO analysis, batch operations, site health checks, troubleshooting, template and interface development, and daily actions, which can be sequentially arranged by the intelligent body according to input and output. This article lists the actions that can be arranged by category, the confirmation points before batch execution, and the range control method for the default closure of high-risk operation areas.
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The multi-category official website wants to avoid relying on directory stacking, the idea is to enter the classification tree stably, place the category differences in the custom content model's custom fields: use fields to carry and support filtering for properties such as model, material, and adaptation scenario, hand over the terminology to the keyword library, interconnect across categories with anchor text management, and automatically link the in-site keywords to maintain a shallow and stable hierarchy.
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Configure the language ownership and switching of the site layer of the multilingual site, manage the content output of the page layer through full-page translation, and the two layers need to work together to keep the content of the small languages up to date with the main language. The executable approach is to synchronize the pages after the main language is finalized, assign an update person for each language, and check the consistency of the translated pages with the original version in the release check; use multi-site management in parallel for the multi-brand matrix.
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Create member levels on the official website, first define user groups by visible range, and then set access permissions for VIP groups: public information is accessible to visitors, and quotation sheets, scheme libraries are authorized by groups.配合自定义内容模型给资料型内容加行业、资质等字段，再通过订单管理和分销管理让会员体系与收款、渠道衔接起来，下载范围才有清晰边界。
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When content is collected in bulk, the robots configuration is responsible for the declaration level, specifying which paths should not be crawled; anti-crawling interference codes are responsible for the content level, making the pages collected in bulk unusable as inferior products. Both manage declarations and finished products, and in conjunction with the sensitive word filtering and content review on the publishing side, they constitute a complete anti-transfer chain.
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Content scheduling is not enough just with timing release: Drafts are responsible for repeated revisions during creation, pending release is responsible for entering the queue waiting for online, timing release determines when content takes effect as a time factor. Before release, content review and sensitive word filtering checkpoints are also required, draft preview links are only for internal confirmation, and should not be indexed by search engines.
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Tackle machine comment section and form spamming by layering: reCAPTCHA captcha blocks automated requests at the submission entry, JWT authentication converges interface calls, sensitive word filtering and content review process the data that has entered, anti SQL injection and XSS filtering贯穿 the entire chain. The captcha manages 'whether it is a person', the filter manages 'whether the content can be left.'
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AI batch content generation goes through three stages of launch review: filtering and intercepting sensitive words and risk statements, replacing keywords with unified terminology and brand writing, and doing backup rewriting. The recycle bin handles the rollback of mistakenly sent or deleted content. Coordinate with the inspection process and traceability method of AI automatic writing to maintain both batch productivity and release safety.
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The official multi-category website relies on content models to split information structure: products, cases, and information each build models, using custom fields to carry category-specific data, templates display according to model branches; and cooperate with AI automatic labeling and TDK to generate complemented meta-information, the keyword library unifies the mouth of long-tail words, avoiding manual filling and column rework.
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Multi-site management allows a single backend to support a brand matrix, permissions are divided by user groups and VIP groups, the template and content model determine the reuse and differences between sites, the DefaultOff class controls the opening status of high-risk modules at the site level in new sites. This article gives the allocation principles and launch sequence.
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The AI skill in the content management system can participate in fault exclusion, and it is good at connecting scattered health check items, log fragments, and background status into a clue. When it comes to data deletion, site-wide configuration changes, and recovery actions, manual confirmation is still required. This article explains the division of labor between AI first inspection and manual接管, as well as the role of round-by-round approval and default high-risk operation shutdown.
