> DEEPSEEK_CRAWLER_CONFIG
DeepSeek's crawler user agent is DeepSeekBot. If your robots.txt blocks all bots by default, DeepSeek cannot index your content and you will never appear in its answers. Add an explicit allow rule before anything else.
robots.txt Configuration
User-agent: DeepSeekBot Allow: / # Also allow other major AI crawlers User-agent: GPTBot Allow: / User-agent: ClaudeBot Allow: / User-agent: PerplexityBot Allow: /
DeepSeek respects standard robots.txt directives. If you have a blanket Disallow: / for unknown bots, add the DeepSeekBot Allow rule above it — robots.txt rules are evaluated in order, and a specific Allow overrides a general Disallow for the same agent.
5 DeepSeek Optimization Strategies
01. Factual Density — DeepSeek Is Built for Technical and Research Queries
DeepSeek was trained heavily on scientific papers, technical documentation, and structured factual content. It weights information density over narrative style. Every paragraph should contain at least one verifiable claim, statistic, or defined term. Thin editorial content — even well-written — scores poorly against DeepSeek's training distribution. Write like a technical spec, not a blog post.
02. Direct-Answer H2 Structure — Match DeepSeek's Extraction Pattern
DeepSeek constructs its answers by extracting opening sentences from clearly labeled sections. Write your H2 headings as the question your user is asking, then answer it completely in the first sentence of that section. The rest of the paragraph can expand — but DeepSeek lifts the first sentence. A heading like "What is schema markup?" followed by a 40-word complete answer is extraction-ready. A heading like "Our Approach" is not.
03. FAQPage Schema — The Fastest Citation Path
DeepSeek's retrieval layer parses structured data before unstructured prose. FAQPage schema with question-phrased name fields and complete, standalone acceptedAnswer responses give DeepSeek exact extraction targets. Each FAQ entry should be self-contained — answerable without reading the surrounding page. Target 40–100 words per answer. Mirror the exact question phrasing your customers use, not marketing language.
04. Author Credentials — DeepSeek Weights Source Reliability
DeepSeek applies credibility filters similar to E-E-A-T. Content attributed to named experts with verifiable credentials scores higher than anonymous site copy. Add a Person schema with @id, job title, and credentials to every article. Make the author byline visible in the HTML — not just in schema. For technical content, linking to the author's publications, LinkedIn profile, or professional portfolio strengthens the credibility signal further.
05. Date Signals — DeepSeek Differentiates Current vs. Stale Content
DeepSeek's web-retrieval layer (when active) prioritizes recently modified content for queries involving current information. Make dateModified schema properties accurate and visible on the page. A "Last updated: April 2026" timestamp in both the visible HTML and the Article schema JSON-LD tells DeepSeek's retrieval system your content has been reviewed. Update the dateModified whenever you make substantive changes — not just for cosmetic edits.