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llms.txt GeneratorTrack your brand
in DeepSeek.
Keep a record of how DeepSeek answers your buyers. Track recommendations, competitor mentions and citations in the official experience over time.
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- 5Nike
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DeepSeek now names you 3rd
Nike rankings over 7 daysOne chat tells you very little.
Ask DeepSeek the same question three times and you can get three different answers. One spot check can’t show where you stand. A daily record can.
Trakkr asks every morning and keeps every answer, so your place comes from weeks of answers, not one chat.
Best running shoes for flat feet?
For flat feet, most runners do best in a stable shoe with firm arch support. The Brooks Adrenaline GTS 24 is the usual pick. The Nike Structure 25 is a close second: a softer ride, and it comes in wide. For longer runs, try the New Balance 860v14.
runrepeat.com, reddit.com, youtube.com and 1 more
Every answer,
read for you.
Trakkr reads each answer the way you would: where it puts you, what it says about you and which pages it read. Then it keeps that reading, day after day.
See where DeepSeek
puts you.
Every assistant ranks you its own way, so Trakkr keeps a separate record for each. Today DeepSeek is where you’re strongest.
Know why DeepSeek
changed its mind.
When an answer moves, Trakkr sets it beside the day before, finds the page DeepSeek started reading, and drafts the fix.
See how fixes workBest stability running shoe?
- 1Adidas
- 2Nike
- 3PUMA
- 4Brooks
runrepeat.com/guides/stab…The best stability running shoes, tested
- PUMA ForeverRun Nitro
- Adidas Adistar CS 2
- Brooks Adrenaline GTS 24
Doesn’t name Nike
Best stability running shoe?
- 1PUMArunrepeat
- 2Adidas
- 3Nike
- 4Brooks
Get Nike onto runrepeat.com’s guide
DeepSeek cites it in 3 of 4 answers. Trakkr drafted the pitch.One model, many front doors
Open weights, 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 DeepSeekField guideFour 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.
What Trakkr records in DeepSeek
Every daily run keeps the full DeepSeek answer, so each signal can be checked against the words behind it.
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.
A repeatable DeepSeek manual check
Two buyer questions and a few fixed controls turn a spot check into evidence you can compare.
Manual check in DeepSeekNew chat, every runStart with two buyer questions
- 1
Recommend three [category] products for [buyer need], with reasons.
- 2
Compare [your brand] with [competitor] for [buyer need] and cite current sources if available.
Record the controls with the answer
Use the official DeepSeek product and a new conversation. Record the model, search setting, region, date, brands, order, and citations before comparing a later run.
Limit: The official DeepSeek experience cannot represent every third-party deployment of an open model. Treat it as one controlled surface, not universal coverage.
Set up a useful daily record
Three steps from your domain to a record you can read every morning.
Add your brand
Enter your domain, review the buyer questions and choose the competitors you want to compare.
Run DeepSeek daily
Trakkr queries DeepSeek against your prompts every day, recording mentions, positions, descriptions, cited sources, and how each release shifts your standing.
Review what changed
Inspect the DeepSeek answers, mentions and sources behind a material change before choosing an action.
Go deeper on DeepSeek
Trakkr has 170+ DeepSeek-specific articles. These are the ones to start with.
How to rank higher in DeepSeek recommendations
The signals that shape an open model's brand opinions.
Read articleDefenseFix wrong information in DeepSeek
Correcting bad facts ahead of the next release.
Read articleMeasurementMeasure share of voice in DeepSeek
Benchmarking your mention rate against competitors.
Read articleMore DeepSeek content: crawler access, schema, release tracking, citation defense.
Keep exploring
- AI brand monitoringThe full picture: every model, one score.
- AI citation trackingThe sources behind every AI answer.
- AI Overview trackingTrack your brand in Google AI Overviews.
- Cross-platform guideHow to monitor mentions on every AI platform.
- Track brand mentions in Meta AIThe assistant inside WhatsApp and Instagram.
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.
The Agent answers from our docs, methods and pricing, and links to the source.
Know what DeepSeek
tells your buyers.
Add your brand and the questions they ask. Trakkr asks DeepSeek first thing tomorrow, and every morning after.
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- Cancel anytime
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- 2Adidas
- 3Nike
- 4PUMA
- 5New Balance
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