Question 1

How to configure robots.txt to allow AI crawlers to crawl specific directories?

Accepted Answer

When it is necessary to allow AI crawlers to crawl specific directories, the robots.txt configuration needs to be implemented by specifying the User-Agent of the AI crawler and using the Allow directive. Typically, you first need to明确 the identifier of the target AI crawler (such as the User-Agent value), and then set the directory path allowed for access for it.

Common AI crawler configuration examples:
- Google-Extended (Google AI products): User-agent: Google-Extended  Allow: /target-directo

Question 2

How to reject crawling requests from specific large models?

Accepted Answer

When needing to拒绝特定大模型的爬取请求时，通常可通过技术配置实现，主要包括robots.txt规则设置、HTTP响应头控制及元标签声明。

具体方法包括：
- robots.txt配置：在网站根目录的robots.txt文件中，针对目标大模型的User-agent（如已知的AI爬虫标识）设置Disallow规则，明确禁止其访问指定路径。
- HTTP响应头控制：通过服务器配置添加X-Robots-Tag响应头，例如设置“X-Robots-Tag: noai”，可限制AI爬虫抓取。
- 元标签声明：在网页HTML头部添加<meta name="robots" content="noai">标签，指示AI爬虫不抓取该页面。
- API层面限制：对提供数据接口的网站，可通过IP封禁、请求频率限制或API密钥验证，阻止特定大模型的访问请求。

建议定期检查网站访问日志，确认规则生效，并根据大模型爬虫标识的更新调整配置，以有效保护网站数据不被特定AI系统获取。

Question 3

Which URLs included in the Sitemap can better improve the crawling efficiency of AI crawlers?

Accepted Answer

When aiming to improve the crawling efficiency of AI crawlers, the Sitemap should prioritize including URLs of core pages, frequently updated content, and pages with structured data. These URLs help AI crawlers quickly identify important website information and enhance content indexing efficiency.

Core pages: Such as the homepage, core product/service pages, which carry the core value of the website and are prioritized by AI crawlers for crawling.
Frequently updated content: Blogs, news, or dyn

Question 4

How to identify AI crawler User-Agent and distinguish it from traditional search engines?

Accepted Answer

Identifying AI crawler User-Agents typically involves analyzing their specific identifiers and behavioral characteristics, differing from traditional search engines mainly in technical identifiers and crawling patterns.

Identification methods:  
- String features: User-Agents often contain AI model keywords such as "GPT", "Claude", "Bard", or identifiers like "AI-Crawler", "LLM-Bot";  
- Request header differences: May carry non-standard fields such as "X-AI-Identifier", "Purpose: AI Training

Question 5

After content is updated, what is the typical crawling frequency of AI crawlers?

Accepted Answer

When website content is updated, the crawling frequency of AI crawlers is usually affected by content value, update patterns, and website authority, typically ranging from a few hours to several days.

Category/Background: After updates to core pages of high-authority websites (such as industry-leading platforms), AI crawlers may crawl within a few hours;  
Category/Background: For regular content updates on ordinary websites, the crawling cycle is mostly 1-3 days;  
Category/Background: For i

Question 6

What is the difference between Disallow and Noindex in robots.txt for controlling crawler crawling?

Accepted Answer

When a website needs to control the behavior of search engine crawlers, Disallow and Noindex achieve their goals through different mechanisms: Disallow prevents crawlers from crawling specified URLs, while Noindex instructs search engines not to index pages that have already been crawled.

Mechanism of action: Disallow is a directive in the robots.txt file that takes effect before a crawler accesses a site, directly prohibiting it from crawling the corresponding path; Noindex is typically impl

Question 7

How to assist in controlling content crawling by AI models through Meta Robots tags?

Accepted Answer

When it is necessary to control the AI model's crawling behavior of website content, Meta Robots tags can help achieve this goal by setting specific instructions. These tags convey content processing rules to crawling tools through the format of <meta name="robots" content="instructions"> in the HTML head.

Common instructions and their functions:
- noindex: Usually prompts the AI model not to include the page content in training data or reference libraries;
- nofollow: May reduce the model's cr

Question 8

How to optimize the Sitemap to improve the speed at which AI crawlers discover new content?

Accepted Answer

When needing to improve the speed at which AI crawlers discover new content, the core of optimizing a Sitemap lies in ensuring its accuracy, timeliness, and structure. Typically, this involves three aspects: update frequency, format standardization, and metadata supplementation.

Update Mechanism: Maintain dynamic updates of the Sitemap. Update and resubmit it within 1 hour after new content is published to prevent crawlers from fetching outdated information.  
Format Optimization: Use the sta

Question 9

How do AI crawlers handle dynamically generated JavaScript content?

Accepted Answer

When web page content is dynamically generated via JavaScript, AI crawlers typically simulate a browser environment to execute JS code and obtain complete content. Modern AI crawlers are equipped with rendering engines, capable of handling dynamically generated elements from asynchronous loading and DOM operations, ensuring that the crawled page data is consistent with what users see when browsing.

AI crawlers execute JS through rendering engines integrated with browser kernels (such as Chrome'

Question 10

How to detect AI crawler access logs and identify abnormal crawling behavior?

Accepted Answer

When it is necessary to detect AI crawler access logs and identify abnormal crawling behaviors, it is usually required to combine the analysis of key log indicators with the comparison of AI crawler behavior characteristics.

Common abnormal crawling behaviors can be identified through the following indicators:  
- Abnormal access frequency: The same IP/UA initiates requests far exceeding normal users in a short period of time (such as dozens of times per second), or accesses at regular interv

Question 11

What common crawling issues can be caused by incorrect robots.txt configuration?

Accepted Answer

When robots.txt is misconfigured, it usually causes issues such as search engine crawling受阻, resource waste, or indexing abnormalities, directly affecting the visibility of website content.

Common crawling problems include:  
- Incorrect Disallow rules: Important pages (such as the homepage, product pages) are mistakenly included in Disallow, preventing crawlers from accessing them and resulting in the pages not being indexed.  
- Path format errors: Such as missing slashes (/) in paths or ca

Question 12

How to set Crawl-delay to control the crawler access frequency?

Accepted Answer

When it is necessary to control the frequency at which search engine crawlers access a website, this can be achieved by setting the Crawl-delay directive in the robots.txt file, which is used to define the interval time between two requests from crawlers.

Setting format: In the robots.txt file, add the "Crawl-delay: [value]" directive for a specific User-agent, where the value is usually in seconds. For example, "User-agent: * Crawl-delay: 10" means all crawlers need to wait 10 seconds before m

Question 13

Do AI crawlers follow the robots.txt rules? How to verify?

Accepted Answer

When it comes to whether AI crawlers follow the robots.txt rules, the situation varies depending on the type of crawler and developer settings. Most AI crawlers that adhere to traditional crawler norms (such as AI tools associated with search engines) will respect the instructions in robots.txt (e.g., prohibiting crawling of specific directories), but some independent AI crawlers used for training large models may not fully comply, especially during the data collection phase.

AI crawlers' compl

Question 14

How to configure Sitemap for multi-version websites to optimize AI crawler indexing?

Accepted Answer

When a website has multi-language, multi-region, or multi-device versions, the core of configuring a Sitemap to optimize AI crawler indexing is to clearly distinguish version information and establish content associations through structured markup.

Version differentiation: Use hreflang tags in the Sitemap to mark the language (e.g., `lang="en-US"`) and region (e.g., `region="US"`) of each version, and specify the mutual relationship between different versions (e.g., `rel="alternate"`) through t

Question 15

How to control the content caching strategy of AI crawlers through HTTP headers?

Accepted Answer

When it is necessary to control the content caching strategy of AI crawlers, it can usually be achieved by configuring HTTP response header fields, including Cache-Control, ETag, and Last-Modified, etc. These fields can guide AI crawlers on how to store, update, and retrieve content.

Specific implementation methods:
- Cache-Control field: Set max-age to specify the cache validity period (e.g., max-age=3600 means caching for 1 hour), no-cache requires crawlers to verify content freshness, and no

Question 16

How to use robots.txt to prevent AI crawlers from scraping sensitive data?

Accepted Answer

To prevent AI crawlers from scraping sensitive data, you can configure the robots.txt file in the website's root directory. The core is to set access prohibition rules for the User-Agent of AI crawlers.

First, identify the User-Agent identifier of the target AI crawler. Common AI scraping tools typically include specific identifiers in the request headers, such as "GPTBot" and "ClaudeBot". The specific name can be obtained through server logs or crawler identification tools.

Second, write rule

Question 17

Do the User-Agents of AI crawlers change frequently? How to deal with it?

Accepted Answer

When facing AI crawlers, the User-Agent they use for crawling often changes more frequently than that of traditional search engine crawlers. This is mainly because AI model developers may update identifiers to bypass anti-crawling mechanisms or adapt to technological iterations.

To deal with the changes in AI crawler User-Agents, the following aspects can be considered:
- Monitoring and analysis: Regularly check User-Agent strings in server logs, establish a library of common AI crawler identif

Question 18

How to optimize the hierarchical crawling depth of large websites through Sitemap?

Accepted Answer

When a large website has insufficient crawler crawling depth due to complex hierarchies, scientifically configuring a Sitemap can effectively guide search engine crawlers to prioritize key pages and improve the indexing efficiency of deep content.

It is generally recommended to split the Sitemap by content type or website hierarchy (e.g., submitting product pages, category pages, and article pages separately) to avoid a single Sitemap being too large and affecting parsing efficiency. Core pages

Question 19

How to determine if a website has been crawled by large AI models? What technical methods are there?

Accepted Answer

When needing to determine if a website has been crawled by large AI models, it can usually be achieved by analyzing server logs, identifying special request characteristics, and monitoring abnormal access patterns.

Technical methods mainly include:  
- Server log analysis: Check if there are IP addresses or special domain names from AI model service providers (such as OpenAI, Google DeepMind) in the logs; such requests often have batch crawling characteristics.  
- User-Agent identification:

Question 20

After configuring robots.txt, how to verify if it takes effect?

Accepted Answer

After configuring robots.txt, verifying its effectiveness can usually be achieved through tool checks, crawl status analysis, and URL testing. The main verification methods include:

Tool check: Use official search engine tools, such as Google Search Console's "robots.txt Test Tool" or the corresponding function in Bing Webmaster Tools. Entering the configuration content can directly detect syntax errors and rule validity.

File access test: Access the robots.txt file in the website root directo

Frequently Asked Questions