Platform · DeepSeek

DeepSeek visibility, measured properly.

See exactly which queries DeepSeek mentions your brand for — with Search mode on AND off. Same prompts run weekly across every major AI search surface so your visibility score reflects the whole AI ecosystem, not just one engine.

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DeepSeek visibility sits beside every other answer engine.

Use the same prompt set to compare DeepSeek-specific mentions, citation gaps, and competitor presence against ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI surfaces.

What DeepSeek visibility actually means

DeepSeek visibility is the percentage of relevant queries where DeepSeek names your brand, links to your domain, or recommends your product. Unlike a Google SERP, a DeepSeek answer is generated — there's no "position 1". Either you're mentioned in the synthesis, or you're not.

The surface area is broader than people assume. chat.deepseek.com is the consumer web chat. The DeepSeek mobile app hit #1 on the US App Store in January 2025 (per TechCrunch) and remained a top-3 free app in multiple regions through 2025. The api.deepseek.com developer endpoint is the cheapest credible LLM API on the market — $0.14 input / $0.28 output per million tokens on the standard tier — which means it powers a long tail of AI products that quietly route through DeepSeek.

Why this matters now: DeepSeek hit ~130M monthly active users by end of 2025, with the largest share in China and India. If your category sells into either market — or to developers anywhere, who disproportionately use DeepSeek for cost reasons — and you're only tracking ChatGPT, you're measuring a fraction of the picture.

How DeepSeek decides what to cite

DeepSeek pulls from three layers, each shaping visibility differently:

  1. Parametric knowledge. Trained into the model. The DeepSeek-V3 technical report describes a 14.8T-token training corpus with explicit emphasis on math, code, and multilingual content beyond English and Chinese. V4 (April 2026) extended this to 32T+ tokens. Updates only when DeepSeek retrains, which is months at a time.
  2. Live web fetch (Search mode). When the user toggles Search on, DeepSeek fetches URLs in real time and incorporates the content. DeepSeek doesn't operate its own search index — it routes queries through a third-party search backend per request. This is the fastest visibility lever — fresh, well-structured content can appear in DeepSeek's answers within days of being indexed.
  3. DeepThink reasoning chain. When the user enables DeepThink (the R1-style reasoning mode), DeepSeek shows its chain of thought before answering. Brands referenced inside the reasoning trace — not just the final answer — influence what the model concludes is worth recommending.

One caveat worth knowing: DeepSeek in standard mode (no Search) frequently invents URLs when it tries to cite news publishers, per Nieman Lab's February 2025 audit. Standard-mode mentions of your brand are real signal that the model knows about you; the URLs it attaches are not reliable evidence of where it learned that.

How to track DeepSeek visibility

Manually: open chat.deepseek.com, type your queries (toggle Search on, then off, twice each), log mentions, repeat next week. Same brittle workflow as manual ChatGPT tracking — variance is high, model updates change behavior, competitor visibility is invisible, and the standard-mode URLs you log may be hallucinated.

With Meev: save your prompt list once. We record per DeepSeek run:

  • Whether your brand was mentioned in the answer.
  • The cited domains and how they were positioned.
  • Surrounding sentence context for any mention.
  • Multi-week trend so you can separate signal from variance.
  • Diff against the prior run when something shifts.

Output: a DeepSeek-specific visibility score per prompt, plus a ranked list of citation gaps. The same prompt list runs in parallel against ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI surfaces, so you can see exactly where DeepSeek's pattern diverges from the others — and tune your content accordingly.

What actually moves DeepSeek visibility

  • Presence in publicly available training datasets. DeepSeek doesn't operate a documented public crawler, so the parametric layer comes from open datasets — Common Crawl, GitHub, arXiv, Wikipedia, and major Chinese-web sources. Brands well-represented across those before the training cutoff get parametric recall; brands that aren't, don't.
  • GitHub + arXiv + technical-doc presence. DeepSeek's corpus emphasizes code and math heavily. Brands with active open-source repositories, public technical documentation, or arXiv papers in their domain often outperform their ChatGPT baseline on DeepSeek — sometimes substantially.
  • Chinese-language brand presence. The largest user base is Chinese-speaking. An English-only brand footprint underperforms its potential. Localized content on baidu.com-indexed properties, weibo, zhihu, or domestic Chinese publishers shows up in DeepSeek where it doesn't in Western LLMs.
  • Rankability for the queries Search mode would issue. Because DeepSeek's Search mode reads from a live search backend, content that ranks well for the underlying query gets fetched. Same SEO fundamentals, different presentation layer.
  • Quality over volume. DeepSeek's grounding bias means thin content gets filtered; depth wins. The same quality bar Meev enforces via its 70/100 GPRM gate maps directly to what DeepSeek surfaces in Search mode.

Common mistakes

Adding DeepSeekBot to robots.txt thinking it controls anything. It doesn't. There is no publicly documented DeepSeek crawler. Most bot-directory entries listing "DeepSeekBot" are scraper aggregators — the actual training data appears to come from public datasets, not a proprietary crawl.

Treating standard-mode mentions as web citations. When Search is off, DeepSeek often invents URLs to publishers. The brand mention is real signal; the URL is not evidence. Always verify before claiming "DeepSeek cited publisher X."

Ignoring Chinese-language brand presence. The largest user base is Chinese-speaking. If your category has Chinese-speaking buyers and your brand has zero Chinese-web footprint, you're structurally invisible to DeepSeek's biggest audience.

Assuming ChatGPT visibility transfers. DeepSeek's corpus mix differs (heavier Chinese, heavier code/math). A brand that ranks well across ChatGPT for a given prompt may not rank at all on DeepSeek — particularly for technical queries where DeepSeek's preference for cited code repos over marketing content shifts the result set.

Building positioning on China-political topics. DeepSeek refuses or sanitizes answers about Tiananmen, Taiwan, Xi Jinping, Uyghurs, and adjacent topics at very high rates. Any prompt that veers into restricted territory drops your brand entirely — not because you're being filtered, but because the whole answer is.

Frequently asked

What is DeepSeek AI visibility tracking?

DeepSeek AI visibility tracking is the practice of monitoring whether DeepSeek — across chat.deepseek.com, the mobile app, and the api.deepseek.com developer endpoint — mentions your brand or links to your domain when users ask questions in your category. The unit of measurement is inclusion in the generated answer, not position on a results page.

Does DeepSeek have a web search mode?

Yes — chat.deepseek.com has a toggleable Search mode alongside the default chat and the DeepThink reasoning mode. When Search is on, DeepSeek navigates the live web in real time and returns inline [citation:N] markers in the answer plus a Sources panel listing the URLs it consulted. With Search off, DeepSeek answers from training-data parametric knowledge only — and frequently invents URLs to publishers it can't actually link to, so standard-mode citations are unreliable.

How does DeepSeek decide what to cite?

Three layers, weighted differently from Western LLMs: (1) parametric knowledge from a training corpus that emphasizes English, Chinese, code, and math (DeepSeek-V3 was trained on 14.8T tokens; V4 on 32T+). (2) Live web fetches when Search mode is on — DeepSeek doesn't operate its own search index, so it relies on a third-party search backend per query. (3) For coding/math queries, the corpus skew toward GitHub, arXiv, and technical docs gives DeepSeek a different ranking pattern than ChatGPT or Claude on the same query.

Does DeepSeek have a named crawler I should allow in robots.txt?

DeepSeek does not publish a documented crawler user-agent. Several bot-directory services list a "DeepSeekBot" entry, but DeepSeek itself does not operate or document one publicly. Adding User-agent: DeepSeekBot to robots.txt has no documented effect because the entity it names doesn't reliably exist. Practical implication: parametric DeepSeek visibility comes from being well-represented in publicly available datasets (Common Crawl, GitHub, arXiv, Wikipedia, major Chinese-web sources) before each model's training cutoff.

How is DeepSeek visibility different from ChatGPT visibility?

Three main differences: (1) DeepSeek's training corpus is heavier on Chinese-language content, code, and math — brands strong on developer docs or with Chinese-language presence often outperform their ChatGPT baseline. (2) DeepSeek refuses or sanitizes answers on China-political topics (Tiananmen, Taiwan, Xi, Uyghurs) at high rates — those prompts drop your brand entirely. (3) Standard-mode DeepSeek hallucinates URLs more than ChatGPT does, so publisher mentions in DeepSeek text need verification, not assumption.

What's DeepSeek's training cutoff?

DeepSeek-V3 and DeepSeek-R1 were both trained with data through July 2024, confirmed via the model's own system prompt. DeepSeek-V3.2 (Sep 2025) and DeepSeek-V4 (April 2026) likely have later cutoffs but DeepSeek has not published exact dates. Practically: anything published after July 2024 only reaches DeepSeek via Search mode until the next major retrain, not via parametric recall.

Can I track DeepSeek visibility automatically?

Yes — Meev runs your prompt list against DeepSeek on a rolling cadence and records whether your brand was mentioned, the surrounding context, and which competitors were cited alongside or instead of you. The same prompts run in parallel against ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews, and Google AI Mode so you can see DeepSeek-specific patterns separately from your overall visibility score.

Related

See your DeepSeek visibility

Paste your domain. Save 3 prompts. We'll show you which queries cite you on DeepSeek (Search mode and parametric), which cite competitors, and what to publish first.

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