DeepSeek SEO: How to Show Up in DeepSeek Answers
Lyudmila Pike from Kırşehir, Co-founder / CMO
For a lot of people, DeepSeek has become the place they go instead of a search engine. They ask it how to structure a contract, which laptop to buy, which logistics provider to trust or which cloud vendor fits a small team. The assistant is free to use, answers confidently in many languages and is hugely popular with developers. So someone types "recommend a reliable company for X" — and DeepSeek lists your competitors. Or worse, it does name your company, but quotes prices from three years ago and a service you stopped offering long ago.
DeepSeek SEO works a little differently from optimizing for Google or ChatGPT. DeepSeek draws on two sources — what the model learned in training and what it finds on the web — and the company says little about how its search works. Below: what that means for a business, what to do now and how to measure results.
Key takeaway
DeepSeek answers from model memory or web search and doesn't reveal its crawlers. Brand mentions, clear facts and strong SEO get your company cited.
What DeepSeek is and what its answers look like
Let's start with the basics. An AI answer is text the assistant writes itself in response to a user's question. Instead of a list of websites, the user reads a ready-made recommendation: "here are five companies, here is how they differ, here is what to watch out for." When the assistant uses the web, links to its sources appear next to the text.
DeepSeek is an AI assistant built by the Chinese company of the same name. A user opens the website or the mobile app, signs in and lands in a chat window that looks a lot like ChatGPT: a prompt box at the bottom and a few mode toggles. Button labels change over time, but the logic stays the same:
- Standard answer. The assistant answers from what the model learned during training. There are no links to websites, and its knowledge stops at the date training data was collected.
- Reasoning mode. Before answering, the model shows its chain of thought: how it breaks down the question, what it compares and which options it rules out. Users like this mode because it feels thorough.
- Web search. The assistant looks for fresh information, reads the pages it finds and writes an answer with inline citations. The list of pages it used can be opened next to or below the answer. Under heavy load, this mode is sometimes temporarily unavailable.
Here is what matters for a business: users do not always turn search on. Many simply type their question and get an answer drawn entirely from the model's memory.
Who uses DeepSeek around the world
DeepSeek drew global attention when it released capable models that were open to download and cheap to run. Its core audience is in China, but people use the assistant in many countries — it has been especially popular in markets where other AI assistants are harder to access or pay for. Availability and company policies vary by country and organization, and they change, so check the current situation for your market.
Three audiences make DeepSeek worth your attention:
- Companies targeting China and Asia. If you sell to, source from or look for partners in the region, DeepSeek is one of the assistants where your future customers and suppliers form a view of the market.
- Cost-conscious users. Students, freelancers, small business owners and teams that do not want another subscription often pick a free assistant that does the job. These are the same people who then choose a vendor, a tool or a service.
- Developers and technical buyers. DeepSeek models are published with open weights, and developers build them into third-party apps, chatbots and internal company tools. An employee might ask an internal AI helper about vendors without knowing DeepSeek is under the hood. Those embedded tools often answer from model memory only, with no web search.
Why you cannot ignore DeepSeek
A hypothetical example. A B2B software company has been around for ten years, and its site ranks well in Google. A potential buyer asks DeepSeek "what is a reliable, affordable alternative to [market leader]," gets three competitor names and books a demo with one of them. Rankings did not change, the buyer was lost — and nothing in your analytics shows it.
- Model memory updates rarely. If little was written about your company before the training cutoff, the assistant simply does not know you exist in standard mode. That can only change with the next model version — which is why you need to start early.
- Outdated facts stick around. An old address or price that made it into training data will keep showing up in answers until a new model version with fresher data ships.
- In search mode, the best source wins. If DeepSeek cannot find your page, or the page does not answer the question, the citation goes to a competitor or an aggregator.
- People trust the answer. There are no ad labels and no ten competing links in the chat. An AI recommendation reads like advice from an expert.
Where DeepSeek gets its information
What the model knows
A language model is trained on an enormous body of text, much of it collected from the open web in many languages. What ends up in the model's memory is not a single page of your website but a stable picture: what different sources say about your company, in what context it is mentioned, which services, industries and locations it is associated with. You cannot "submit" your website for training. All you can do is make sure that by the time data is collected, enough has been written about your company, consistently and in visible places.
Web search mode
When a user turns search on, DeepSeek finds pages on the web and summarizes them. DeepSeek does not publicly detail which search technology or crawlers it uses for this, and as far as we know it offers no webmaster tool comparable to Google Search Console. That is why we do not name specific bots here: any "exact" crawler names you come across online should be checked against the company's official documentation.
What this means for optimization
When you cannot configure access for a specific crawler, the winning strategy is to be a strong source for any search system. DeepSeek, like other AI assistants, favors pages that are accessible, clear and confirmed by third-party sources. We cover that selection logic in detail in how AI assistants choose which businesses to recommend. That gives you two tracks: a long-term one — your company's footprint across the web, which feeds model memory — and an immediate one — a website that is easy to find and cite in search mode.
How to show up in DeepSeek answers
1. Let legitimate crawlers access your site
Check robots.txt and your hosting or CDN security settings. A common mistake is a rule that only allows Google and Bing, or a firewall that blocks traffic from entire regions after an attack. Requests from AI services can come from anywhere in the world, and for them such a site simply does not exist. Block only private areas — user accounts, carts and admin sections. For a broader view of which bots to allow, see AI crawlers: who to let onto your site.
2. Get indexed well by the major search engines
Since nobody outside the company knows which index DeepSeek's search mode relies on, the site that wins is the one that is clearly visible everywhere: in Google, Bing and regional search engines. No crawl errors, no duplicate pages, no slow templates. This is good old SEO, and GEO does not work without it.
3. Publish your company facts as plain text
Company name, what you do, where you operate, prices or price ranges, timelines, guarantees, certifications, addresses and contact details should all be on your site as text — not inside images or scanned PDFs. Add schema markup so machines can tell exactly which string is your name and which is your address. The facts on your site, in business listings, directories and social profiles should match word for word.
4. Answer the questions from your prompt research
Do prompt research: collect the questions customers actually ask AI assistants — "recommend," "which is better," "how much does it cost," "what are the risks." Each one needs a page or section that answers it right away and specifically. A hypothetical example: instead of a generic "Implementation" page, a SaaS vendor publishes sections titled "How much does implementation cost for a 50-person team" with a pricing table, "How we compare to [competitor]" with a side-by-side breakdown, and "How long onboarding takes" with stages and timelines.
5. Grow brand mentions on third-party sites
For model memory, this is the biggest lever. You need mentions of your company in industry media, directories, rankings and review platforms, expert articles by your specialists in external publications, interviews and inclusion in roundups. The more independent sources describe your company the same way, the better the chance the next model version will know it. We break down which platforms work best in brand mentions for AI assistants.
6. Watch your reputation
AI assistants repeat what others write about you, including negative reviews. Respond to reviews and fix errors in directories.
How to check your results
- Test both modes separately. Ask the same question with search off and with search on. The first shows what the model knows about you from memory; the second shows how good your website is as a source.
- Start a new chat every time. Otherwise the assistant takes earlier messages into account and skews the result.
- Vary the wording. "Recommend," "which company is better," "reviews of…" all produce different answers. Use a fixed set of tracked prompts.
- Record the facts. Was your company mentioned, in what position, were prices, locations and services correct, and which sites were cited as sources.
- Check your analytics. Clicks on links in DeepSeek answers show up as referral traffic from the DeepSeek chat domain. Set up a separate segment for AI referrals.
- Recheck after new model releases. That is when you see whether what DeepSeek knows about you without search has changed.
AI answers vary from one prompt to the next, so judge the trend over several months, not a single screenshot.
DeepSeek vs ChatGPT vs Google AI Overviews
| Factor | DeepSeek | ChatGPT | Google AI Overviews |
|---|---|---|---|
| Where users see the answer | In the chat on the website and apps, plus third-party tools built on DeepSeek models | In the ChatGPT chat on the website and apps | At the top of Google search results |
| Core audience | Strongest in China; global users, cost-conscious users and developers | Broad international audience | Anyone searching on Google in supported markets |
| Where the answer comes from | Often model memory; web search when the user turns it on | Model memory and web search | Google's search index |
| Crawlers and access | Not publicly detailed | GPTBot, OAI-SearchBot, ChatGPT-User | Googlebot |
| Webmaster tool | None | None | Google Search Console |
| Main levers | Brand mentions for model memory, site access for any crawler, clear facts | Access for OpenAI crawlers, brand mentions, clear facts | Strong SEO and indexing, direct answers, structured data |
| How fast changes show up | Search: months; memory: next model version | Search: months; memory: with new model versions | Depends on how quickly Google recrawls your pages |
The result: DeepSeek tells the truth about your company
Consistent work changes the picture on two levels. In search mode, DeepSeek finds direct answers on your website and cites them. And future model versions absorb what independent sources consistently say about your company. Instead of "the AI recommends competitors" or "quotes old prices," you get accurate facts and regular measurements that show where you already appear in AI answers and where you do not yet.
No one can honestly guarantee a spot in DeepSeek's answers: the assistant decides who to name, and its answers change. But the mechanics are predictable enough to work with systematically — and the companies that start earlier are the first to make it into the memory of new models.
How AI Search Optimization handles DeepSeek
AI Search Optimization has been doing SEO since 2002. We have 100+ clients around the world, Google and Yandex certifications, and one team that handles your website and your AI visibility end to end. For us, GEO is built on top of good old SEO: DeepSeek, like other AI assistants, relies on the websites and third-party sources we have worked with for more than twenty years. We optimize for every major AI assistant, in any market — including businesses in Kırşehir that sell internationally.
What the work includes:
- AI visibility audit — what DeepSeek says about you and your competitors in both modes, whether crawlers can access your site, whether your company facts are clear;
- prompt research — the questions your customers ask AI assistants, the keyword research of AI search;
- technical fixes on your website — AI crawler access, llms.txt, schema markup, speed, errors;
- new content built for AI answers — direct answers to your customers' questions;
- brand mentions on third-party sites and publishing articles in external sources to build the authority of your company and its experts;
- ongoing AI visibility tracking — in DeepSeek, ChatGPT, Google AI Overviews, Qwen and other AI assistants.
AI evaluates your website as a whole, so we take care of the entire site — from technical fixes to GEO. We guarantee delivery of GEO tasks, error fixes and fast adaptation of your website to changing AI search requirements. To see which other assistants matter for your business, read which AI assistants to optimize for.
Pricing is $290 per month, including the first 10 hours of work. Every additional hour is $45. GEO work is billed time and materials: we invoice only the work completed and delivered that month. No discounts or free months — an honest price from day one.
Book a call — we will ask DeepSeek your customers' questions in both modes and show you what it knows about your company and who it recommends instead of you.