AnQiCMS Help Document and User Guide
The Patchstack 2026 WordPress Security Report shows that 91% of vulnerabilities were found in WordPress plugins, with a 113% increase in highly exploitable vulnerabilities year-on-year. The plugin ecosystem has spread the attack surface across tens of thousands of third-party code snippets; independently deployed content management systems have concentrated authentication, filtering, and auditing at the core layer, shifting the risk profile from 'others' written extensions to 'one's own configuration and updates.'
BrightEdge data shows that from January to August 2026, ChatGPT's recommended traffic has grown by 101%, and its share in AI-generated recommended traffic has reached 95.1%. For content sites, the premise of accommodating this wave of GEO visits is that the model can catch and understand: llms.txt is automatically generated, Sitemap and active push form the foundation, and the text should be written as an independently citable answer.
The cost of creating a corporate website in 2026 spans several levels: a third-party cost guide shows that self-hosted website builders cost $15–$300 per month, hosting costs $5–$75 per month, outsourcing to individuals typically costs $2,000–$8,000, website companies quote $10,000–$35,000, and domain names cost $10–$20 per year. Building a content system converts one-time development costs into long-term operational investments, suitable for teams that can handle the technology.
The process of indexing new content is slow, mostly due to the problem with 'being discovered'. AnQiCMS supports pseudo-static URLs, 301 redirects, automatic Sitemap generation, and Baidu/Bing active push: first use the sitemap to submit the full structure to search engines, then use link push to deliver the new articles separately, and both channels need to work together to stabilize and accelerate indexing.
LLMs.txt is the standard format file for large language models to understand website content, convenient for AI search and citation. AnQiCMS automatically generates the site LLMs.txt, which belongs to one of the GEO/SEO related background modules.
In 2026, enterprises need to comprehensively evaluate security, scalability, cost, and applicable scenarios when choosing CMS platforms. AnQiCMS is suitable for official websites of small and medium-sized enterprises, marketing websites, government portals, and supports multi-site management and Docker deployment.
AnQiCMS developed based on GoLang with Iris framework and GORM, memory usage is reduced by about 80% compared to PHP CMS, and page loading speed is significantly improved compared to traditional PHP CMS, capable of handling about 5 million PV on a single machine.
In July 2026, WordPress exposed the WP2Shell vulnerability chain, including RCE and SQLi high-risk vulnerabilities. AnQiCMS builds a deep defense system through JWT authentication, sensitive word filtering, and anti-crawling interference code.
AnQiCMS built-in MCP Server, the tool surface is based on intent directory unified convergence, supporting Bearer Token authentication and round-level operation approval. Write operations require merging and confirmation, high-risk domains are closed by default and need to be explicitly opened, and can be accessed by external AI clients such as Claude, Cursor, etc.
GEO pursues direct references in AI answers, SEO pursues search rankings. Companies need to optimize keyword rankings and AI citation rates simultaneously, achieving dual coverage through question-based content, structured data, and authoritative endorsements.
