How do I track my brand mentions in DeepSeek?

Same principle as any AI assistant - ask it your buyers' questions and record the answers over time - but DeepSeek's release rhythm makes the time series especially important. Trakkr runs your prompt set against DeepSeek daily, so you see both the steady state and the step changes when new models ship.

Do DeepSeek's answers about brands change often?

Between releases, not much - its answers are training-data driven and fairly stable. When a new model version ships, recommendations can reshuffle across entire categories at once. Continuous tracking turns those release days into a morning report instead of a months-later surprise.

Why does DeepSeek matter if my customers use ChatGPT?

Two reasons. DeepSeek's open models are embedded in many third-party apps and tools, so its opinion of your brand reaches people who never visit deepseek.com. And its audience skews technical and international - if you sell developer tools or operate globally, DeepSeek visibility is its own market, not a rounding error on ChatGPT.

Does DeepSeek cite sources?

Less consistently than Perplexity or Gemini. Many answers state recommendations from model knowledge without attribution; search-augmented deployments expose sources more often. Trakkr records citations whenever they appear and tracks unattributed mentions by content, position, and sentiment.

Can I fix wrong information DeepSeek states about my brand?

The lever is the public web the next training run learns from: correct the stale pages, publish clear canonical facts on your domain, strengthen the third-party sources that describe you. Expect step-function improvement at the next release rather than gradual drift - and note that downstream apps on older versions update later.

Is DeepSeek included in Trakkr's plans or an add-on?

Included. Every Trakkr plan tracks all 8 AI models - DeepSeek alongside ChatGPT, Perplexity, Claude, Gemini, Grok, Meta AI, and Google AI Overviews - with the same daily cadence, prompts, and alerting. No per-model pricing.

DeepSeek mention tracking

Track your brand mentions in DeepSeek.

DeepSeek's open models don't just answer on deepseek.com - they're embedded in third-party apps and enterprise tools everywhere. What DeepSeek says about your brand travels. Trakkr tracks it daily and alerts you when it changes.

Free visibility report in 60 seconds · 14-day trial · Cancel anytime

Also tracks ChatGPT ChatGPT Perplexity Claude Claude Gemini Gemini and 3 more.

[01]

[01]In the dashboard

/ DeepSeek tab preview

DeepSeek

/Vercel/Last 7 daysLive

Visibility score

70+2

Mention rate

68%+3 pts

Avg position

#2—

Share of voice

34%+4 pts

Prompt

Mentioned

Pos

Top source

best platform to deploy a next.js app

Vercel

vercel.com/docs

vercel alternatives for hobby projects

Vercel

model knowledge (no citation)

cheapest way to host a react frontend

Rival

—

dev.to (comparison post)

serverless hosting with edge functions

Vercel

github.com (discussions)

frontend cloud platforms for startups

Vercel

news.ycombinator.com

best ci cd for frontend teams 2026

No mention

—

stackoverflow.com

Tracked across model releases50 prompts tracked dailyAlerts when answers shift

[02]

[02]Why DeepSeek is different

/ Open weights, many front doors

One model, many front doors.

DeepSeek publishes open-weight models, and that changes the stakes of what they say about you. A ChatGPT answer lives in ChatGPT. A DeepSeek answer replicates everywhere the model is deployed - the official app, third-party assistants, developer tools, and enterprise installs running it privately because it's capable and cheap.

You can monitor the official app; you can't monitor a thousand downstream deployments. What you can do is track the model's view of your brand at the source. If DeepSeek's answer about your category is wrong or competitor-shaped, that's the answer being syndicated everywhere it runs.

DeepSeek's audience also skews technical and international - developers, researchers, and markets where it's a first-choice assistant. For developer tools and globally distributed brands, it's less an also-ran and more a parallel market with its own rankings. Trakkr tracks it like one.

Closed assistants vs DeepSeek

Where it runs

One official app

Official app + every host embedding it

Reach of one answer

That assistant's users

Every deployment of the model

Audience skew

Varies by assistant

Technical + international heavy

How it updates

Continuous tweaks

Discrete open releases

Stakes of a wrong answer

One surface to fix

Replicated until hosts upgrade

[03]

[03]What Trakkr tracks

/ Six signals, one DeepSeek score

DeepSeek’s answer is the output.

The signals around it are what you can move.

Brand mentions

Every time DeepSeek names your brand on buyer-intent prompts, with position and the exact framing it used.

Release-over-release shifts

How your standing changes when a new DeepSeek model ships - the moments when whole categories get reshuffled at once.

Competitor share

Which brands DeepSeek recommends ahead of you, on which prompts, and how the gap trends across releases.

Cited sources

When DeepSeek references sources, Trakkr records them - the pages teaching the model who you are.

Visibility trend

One DeepSeek score tracked daily, sitting alongside your other seven model scores for instant comparison.

Change alerts

Notifications when DeepSeek stops mentioning you, reorders recommendations, or starts repeating something inaccurate.

[04]

[04]Inside DeepSeek

/ Patterns we keep seeing

Four patterns that show up almost every time we run DeepSeek

Observations from running buyer-intent prompts against DeepSeek daily. Directional, not benchmarked - the published numbers live in Trakkr Research.

Stable between releases

DeepSeek's answers are training-data driven and unusually steady day to day. That stability makes any sudden movement worth investigating - it usually means something real changed.

Release days reshuffle rankings

A new DeepSeek model can reorder a category's recommendations overnight. Brands tracking continuously see the reshuffle the next morning; everyone else finds out from a customer.

Developer prompts overindex

Technical and developer-tool categories get DeepSeek's richest, most opinionated answers. If you sell to engineers, your DeepSeek standing deserves the same attention as your ChatGPT standing.

Old answers linger downstream

Third-party apps don't all upgrade when a new model ships. A correction that lands in the latest release keeps being contradicted by hosts running older versions - worth knowing when you're fixing a bad fact.

Observations from Trakkr’s daily DeepSeek runsSee the published research

[05]

[05]How it works

/ Three steps to live DeepSeek tracking

Add your brand

Enter your domain. Trakkr generates a buyer-intent prompt set for your category and identifies your competitors automatically.

Run DeepSeek daily

Trakkr queries DeepSeek against your prompts every day, recording mentions, positions, descriptions, cited sources, and how each release shifts your standing.

Act on what changed

When DeepSeek shifts - a lost mention, a new competitor, a weak source - you get an alert with the specific fix, and you watch the next answer respond.

2 min setupDaily DeepSeek runsFree 14-day trial

[06]

[06]Pricing

/ All 8 models, DeepSeek included