DeepSeek model training and data collection.
| Operating Entity | DeepSeek |
| Primary Purpose | Training / Model Pre-training Crawler |
| Exact User-Agent String | DeepSeek-Bot |
| Robots Control Token | No (active HTTP web crawler) |
| Robots Protocol Status | No (strictly conforms to robots.txt RFC 9309 rules) |
| Official Documentation | https://github.com/ai-robots-txt/ai.robots.txt |
| Cloudflare Edge Default | Classified as an AI Training crawler and blocked by default under Cloudflare's automated AI scraper rules. |
| Real Blocking Impact | Blocking DeepSeek-Bot excludes your content from future DeepSeek model pre-training. It does not affect live URL reading in DeepSeek Chat, which is handled by DeepSeek-User. |
| Related Portfolio Bots | DeepSeek-User |
DeepSeek-Bot is the automated web crawler operated by DeepSeek, an open-weights AI research organization that developed DeepSeek-V2, DeepSeek-V3, and the DeepSeek-R1 reasoning models. As artificial intelligence engines transition from closed training runs toward live, real-time knowledge retrieval, understanding the mechanical distinctions between background model pre-training and conversational inference is paramount for modern digital publishers and web engineering teams.
DeepSeek-Bot collects web pages, technical documentation, and code repositories to build high-quality datasets for training large-scale open-weights AI models. It complies with standard robots.txt conventions under RFC 9309. When web servers receive incoming connections from DeepSeek-Bot, the underlying networking stacks evaluate whether the request adheres to documented IP subnets, whether DNS reverse-lookups validate operator provenance, and whether the targeted URLs are cleared by domain governance policies.
Data Processing & Ingestion Architecture: Collected web data is cleaned, tokenized, and fed into DeepSeek's large-scale training clusters to pre-train future open-source reasoning models. For website operators, this architecture dictates whether your intellectual property is processed into static parameters of large language models or referenced dynamically during conversational question-answering sessions.
Cloudflare and Edge Firewall Status: Classified as an AI Training crawler and blocked by default under Cloudflare's automated AI scraper rules. On September 15, 2026, Cloudflare introduced foundational changes to its default bot management system across all ad-supported tiers of newly created domains. If your origin server relies entirely on robots.txt files to govern DeepSeek-Bot, you may experience discrepancies where the edge firewall terminates the crawler connection with an HTTP 403 Forbidden code before your origin application or robots.txt parser is even invoked.
Verifying whether DeepSeek-Bot can successfully reach and process your web pages requires looking across three separate, non-overlapping architectural layers: the robots.txt policy layer, the network-level User-Agent HTTP probe layer, and the page-level indexability layer. Assuming that a passing result in one layer guarantees full visibility in another is a widespread engineering trap.
Step 1: Test the User-Agent via HTTP curl emulation
Execute the following command in your terminal to inspect how your web server, CDN, and WAF respond when a client identifies with the DeepSeek-Bot user agent string:
curl -A "DeepSeek-Bot/1.0" -I https://yoursite.com
Analyze the HTTP response headers carefully:
Step 2: Inspect Page-Level Index Directives
Even if DeepSeek-Bot is fully allowed to crawl a URL over HTTP, it cannot index or cite the page if the document carries a noindex directive in its response headers (X-Robots-Tag: noindex) or in its HTML header (<meta name="robots" content="noindex">). A crawlable page can still be completely invisible to search indexes.
Step 3: Run the Free Automated AI Crawler Visibility Check
Instead of manually running command-line probes and inspecting headers across multiple hosts, use our instant free AI crawler visibility checker on checkaibots.com. It simultaneously audits your website against DeepSeek-Bot and 39 other major AI crawlers, compares www versus naked domain robots.txt configurations, performs UA-level HTTP baseline probes, and flags accidental misconfigurations in seconds.
To grant DeepSeek-Bot full permission to crawl your website in accordance with the official RFC 9309 protocol, place an explicit User-agent declaration at the root of your domain (https://yoursite.com/robots.txt).
Standard Full-Site Access Rule:
User-agent: DeepSeek-Bot Allow: /
Selective Access (Protecting Sensitive Subdirectories):
If your website contains private administrative portals, checkout flows, internal search results, or user account dashboards, you can protect those sensitive paths while granting DeepSeek-Bot unrestricted access to public articles, blog posts, documentation, and product catalogs:
User-agent: DeepSeek-Bot Allow: / Disallow: /admin/ Disallow: /checkout/ Disallow: /internal/ Disallow: /api/ Disallow: /*?token=*
RFC 9309 Rules and Precedence: Under official robots.txt protocol rules, when multiple path rules match a given URL, the rule with the longest matching character length takes absolute precedence. In the event of a tie where both an Allow and a Disallow rule have identical string lengths, the Allow directive wins. Furthermore, avoid the common error of leaving an empty Disallow statement (Disallow:), which according to the specification acts as a complete permit for all paths.
If your organization's copyright policy, competitive licensing stance, or infrastructure budget requires restricting DeepSeek-Bot, you can signal an explicit block by adding the following directive to your robots.txt file:
User-agent: DeepSeek-Bot Disallow: /
Crawl Budget and Cache Invalidation: Once your robots.txt file is updated, automated crawlers typically require between 24 and 48 hours to refresh their cached copy of your domain's directives. Existing data already ingested into previously trained neural weights cannot be retroactively purged via robots.txt, but future training iterations and live indexing updates will respect the updated boundary.
A primary failure mode in modern search optimization is treating all crawlers from a given artificial intelligence operator as a monolithic entity. Operators such as OpenAI, Anthropic, Google, and Meta partition their crawling infrastructure into distinct functional categories: bulk model pre-training crawlers, real-time search citation indexers, and user-directed live fetchers.
The table below illustrates the exact architectural distinctions, operational objectives, and visibility implications across DeepSeek's crawler fleet and comparable industry counterparts:
| Crawler Token | Functional Role | Affects Citations? | Affects Training? | Cloudflare Default |
|---|---|---|---|---|
| DeepSeek-Bot (Current) | Training / Model Pre-training Crawler | No | Yes (Directly) | Blocked |
| DeepSeek-User | User Fetcher | No | No | Blocked |
The Expensive Mistake in AI SEO: When organizations implement blanket robots.txt disallows aiming to protect copyright, they frequently copy-paste blocklists that include both training crawlers and search indexers (such as blocking OAI-SearchBot while intending to block GPTBot). Disallowing a search indexer silently excises the domain from AI answers, preventing brand citations, referral clicks, and audience discovery while leaving model training opt-outs completely unaffected. Keep your training policies and search indexing permissions strictly decoupled.
DeepSeek-Bot crawls autonomously for training; DeepSeek-User fetches URLs live during user chat sessions.
Cloudflare blocks DeepSeek-Bot at the edge on newly registered domains by default.
DeepSeek-Bot does not operate a traditional search engine; it is solely for model training.
Ensure exact casing: 'DeepSeek-Bot' with hyphen.
Many sites serve completely different robots.txt files on www.yoursite.com and the bare domain yoursite.com. Automated crawlers treat these as separate origins; if you update one host but omit the other, crawlers will continue encountering old directives.
DeepSeek trains its open-weights foundation models, including DeepSeek-V3 and DeepSeek-R1, using datasets harvested by DeepSeek-Bot.
DeepSeek-Bot performs autonomous batch crawling for training; DeepSeek-User fetches pages on demand when users share links in DeepSeek Chat.
Yes. DeepSeek adheres to standard robots.txt Allow and Disallow directives.
Place 'User-agent: DeepSeek-Bot Disallow: /' in your robots.txt file.
No. Live link reading in chat is conducted by DeepSeek-User.