DeepSeek is a fast-growing, cost-efficient reasoning model with a large and expanding user base. Rankry tracks whether it mentions, ranks, and recommends your brand across buyer-intent prompts, so a growing channel does not stay a blind spot.
7-day free trial · No credit card · First score in 5 minutes
DeepSeek visibility is not a single number. It is six distinct things that decide whether a buyer asking DeepSeek for a recommendation ever hears your name, and how they hear it.
The model names your brand somewhere in the answer.
The model actively suggests you as a choice, not just a passing reference.
Where you land. First-named brands carry the most weight.
A source the model points to when it has web access. Own it and you shape the answer.
Whether the model describes you warmly, neutrally, or with caution.
A rival taking the slot you want, in the same answer.
These are patterns we see in practice across thousands of tracked prompts, not hard technical guarantees. They explain why DeepSeek is worth tracking even though it is newer than the US engines.
In practice DeepSeek leans heavily on what it learned in training and on step-by-step reasoning. Brands that are well represented across widely-mirrored, authoritative sources surface more reliably.
DeepSeek’s live web access is generally narrower than ChatGPT’s or Perplexity’s. That puts more weight on being part of its training and broadly-cited corpus, rather than on a single fresh page.
Because of its training mix, DeepSeek can under-represent smaller or region-specific Western brands. Tracking it surfaces gaps you would never see from the US engines alone.
DeepSeek has scaled quickly, especially across APAC. A visibility gap here is a growing one, which is exactly why it belongs on your tracking list now rather than later.
Every scan captures the full picture of a DeepSeek answer, then trends it so you can see movement, not just a snapshot.
The numbers Rankry reports for DeepSeek, what each one means, and why it changes a decision.
| Metric | What it means | Why it matters |
|---|---|---|
| Mention rate | How often the engine names your brand across your tracked prompts. | Your baseline presence. If you are rarely mentioned, nothing downstream matters yet. |
| Recommendation rate | How often the engine actively recommends you, not just lists you. | Being named is not the same as being chosen. This is the metric that maps to revenue. |
| Average position | Where your brand lands in the answer when it appears. | First-named brands get disproportionate trust. Slipping to the tail still loses the deal. |
| Citation share | Share of cited sources in answers that point to your domain. | Citations are how an engine justifies a recommendation. Owning them compounds your visibility. |
| Sentiment | How positive, neutral, or cautious the engine is when describing you. | A lukewarm or hedged description can cost you even when you are mentioned. |
| Competitor win rate | How often a given competitor beats you head-to-head in the same answer. | Tells you exactly which rivals to displace, prompt by prompt. |
| Prompt category coverage | Which buyer-intent categories you appear in versus stay absent from. | Surfaces the high-intent prompts where you are completely missing. |
| Source gap | Sources competitors are cited in that you are not. | Turns "improve visibility" into a concrete list of pages and listings to earn. |
Track the buyer-intent prompts a real prospect would ask DeepSeek before choosing a tool. Swap the brackets for your category and competitors.
On DeepSeek you improve visibility by being broadly and accurately represented across authoritative sources, then closing the gaps Rankry surfaces. Corroboration matters more than any single page here.
Give the model an unambiguous page that states what you do and who you are for, in plain language it can corroborate.
Honest "X vs Y" and "alternatives to" pages help the model place you in the consideration set for those exact prompts.
Accurate listings, reviews, and mentions on independent sites give the model the consensus it leans on.
Organization and SoftwareApplication schema make your identity machine-readable and harder to misattribute.
Lead with the answer. Content that resolves the question outright is easier to cite than narrative.
Freshness is a real signal. Stale pages lose ground to maintained competitor content.
Make sure the AI and search crawlers your sources rely on can actually read the pages you want cited.
Track the prompts you care about and fix the specific source and coverage gaps Rankry surfaces.
Your position-aware score across every model.
See which rivals take the slots you want.
Test any prompt across all five engines.
Find what blocks AI engines from citing you.
Track where each engine diverges from the rest.
See how Rankry tracks every major AI engine.
Your first DeepSeek visibility score is 5 minutes away. 7 days to try everything. Zero commitment.
Track my DeepSeek visibility7-day trial · No credit card · Cancel with one click