Zeer Trusted Shops / intent / trusted-shops

Trusted Shops

251-1K employees·Köln, Nordrhein-Westfalen, Germany·trustedshops.com

Observed, not inferred · updated weekly

Buying intent

53 tracked signals | Top 15 topics are below | Engineering and Sales are carrying most of it.

38signals · 30 days
30topics tracked
59.26%attributed to a team

Attention by team

LinkedIn activity, by team

Where Trusted Shops's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Agentic AI System
E-Commerce
Hiring
Product Management
Onboarding
Engineering
High69% of team Engineering to Artificial Intelligence: High, 69% of this team's signals
Low15% of team Engineering to Agentic AI System: Low, 15% of this team's signals
Engineering to E-Commerce: no signal
Low8% of team Engineering to Hiring: Low, 8% of this team's signals
Low8% of team Engineering to Product Management: Low, 8% of this team's signals
Engineering to Onboarding: no signal
Sales
Low33% of team Sales to Artificial Intelligence: Low, 33% of this team's signals
Low33% of team Sales to Agentic AI System: Low, 33% of this team's signals
Low33% of team Sales to E-Commerce: Low, 33% of this team's signals
Sales to Hiring: no signal
Sales to Product Management: no signal
Sales to Onboarding: no signal
Others
Medium36% of team Others to Artificial Intelligence: Medium, 36% of this team's signals
Others to Agentic AI System: no signal
Low18% of team Others to E-Commerce: Low, 18% of this team's signals
Low18% of team Others to Hiring: Low, 18% of this team's signals
Low9% of team Others to Product Management: Low, 9% of this team's signals
Low18% of team Others to Onboarding: Low, 18% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
95%
last
2d ago
Agentic AI System
LinkedIn
Low volume
98%
last
2d ago
E-Commerce
LinkedIn
Low volume
92%
last
3d ago
Hiring
LinkedIn
Low volume
89%
last
7d ago
Product Management
LinkedIn
Low volume
98%
last
5d ago
Onboarding
LinkedIn
Low volume
92%
last
5d ago
Amazon Web Services (AWS)
LinkedIn
Low volume
92%
last
9d ago
AI Agent Software
LinkedIn
Low volume
95%
last
2d ago
Urban Planning
LinkedIn
Low volume
98%
last
17d ago
Event Management
LinkedIn
Low volume
98%
last
2d ago
Founder
LinkedIn
Low volume
98%
last
18d ago
Project Management Software
LinkedIn
Low volume
96%
last
10d ago
Software Development
LinkedIn
Low volume
96%
last
14d ago
Project Manager
LinkedIn
Low volume
98%
last
10d ago
Go to Market
LinkedIn
Low volume
83%
last
7d ago

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Who's active at Trusted Shops

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others5 active
researching Artificial Intelligence
in
researching Artificial Intelligence
in
Leadershipresearching Artificial Intelligence
in
Leadershipresearching Product Management
in
Directorresearching Onboarding
in
Engineering3 active
Senior ICresearching Artificial Intelligence
in
Senior ICresearching Artificial Intelligence
in
researching Legal
in
Sales2 active
researching Amazon Web Services (AWS)
in
researching E-Commerce
in
Data1 active
Data Engineering Manager
Senior ICresearching Data Visualization
in
+ 1 more in Data
HR1 active
Recruitment Consultant a.i.
researching Business Development
in
+ 1 more in HR

See everyone, not just the first 10

12 people across every department at Trusted Shops, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

The European trust brand. It‘s all about trust We dream of a digital world we can trust. That’s why Trusted Shops has been working hard since its founding in 1999: to ensure that we can all make the best possible decisions in an increasingly digital world. We started with our Trustmark including Buyer Protection for more orientation and real security when shopping online. Today, our feedback syst

New capability sought

Employee posts (LinkedIn)

Amazon Web Services (AWS); Product Management

Top accounts researching Trusted Shops

names withheld on the public page

These are companies whose own people brought up Trusted Shops unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

129,094 companies · 649,540 people are researching Artificial Intelligence

Trusted Shops's own team shows 14 signals on this topic. No one outside Trusted Shops has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Agentic AI System30,546 cos · 119,561 people
  • E-Commerce6,909 cos · 24,998 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

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Company-size breakdown and buyer seniority mix for accounts researching Trusted Shops.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 4 people; HR / Talent — 2 people; Sales — 1 person; Operations — 1 person

What's been said

public posts by Trusted Shops's team

No public post naming Trusted Shops has surfaced in the past year, so this is what Trusted Shops's own team is posting about publicly — their topics, in their words.

LinkedIn

Ci vediamo domani a Milano!

Apr 2026
LinkedIn

Absolutely blown away by the feedback from Thursday's Claude Community meetup in Nürnberg 🤯 Here's the thing: in Germany, people tend to hold back on 5 stars unless something really earns it. People here are brutally honest with their feedback, no sugar coating, no being nice for the sake of it. So to see this many 5 star ratings come in? That means a lot. Huge thanks to everyone who showed up, engaged, and shared their experience. The energy in the Claude community here is real and it's only getting started. More coming soon 👀

Apr 2026
LinkedIn

Have you ever had a situation where a prompt gave an exceptionally good answer? Chance are that there was a semantic anchor in the prompt. Semantic … what? What it’s about and many more we talked with Ralf D. Müller in the current episode of the HMZE - Beyond Vibe Coding podcast.

Apr 2026
LinkedIn

Highly recommend applying to this if you have a truly exceptional idea! Think "this technology should not exist yet" type idea, because there will be 10s of thousands of applications and only 500 get chosen. Trying to put together a local hackathon in Nürnberg and also Stadt München (together with Dr. Florian Steiner, M.B.R. ) in the near term too.

Apr 2026
LinkedInArtificial Intelligence

A day in the life of a Software Engineer once your company has actually gone AI-native: You wake up and check Teams/Slack. A Claude Routine has already posted a summary of what it built overnight. You spend an hour reviewing code, handing things back to the agents that aren’t quite right, and refine / tighten workflows so the same mistakes don’t happen again. (Even this will probably be fully automated soon) You open your ticket board and get a rundown of where your sprint stands. If sprints even still make sense anymore. Daily standup becomes what it probably always should have been: a purely social check-in with your teammates. Planning and refinement? Already done. A Claude Routine has curated and prioritized your backlog overnight. Your PM has built a working prototype of the next feature directly with Claude, handed it off to an agent that turned it into an Epic, and that Epic has already been through a full refinement pipeline before it lands on your desk. Your main job here is to give it your stamp of approval or raise any points the agent missed. You review it co-operatively with your own agent. Everything updates in place on the ticket system. Tickets are written for agents now, not humans. Every time new models are released you rerun your evals and rethink/reorganize your entire agentic pipeline. (This and double-checking code reviews are probably your primary job function now) Designers have mostly left Figma behind. It's faster to prototype directly with Claude and bring the result back into Figma for final tweaks. The agent then breaks the design down into tickets optimized for agentic workflows. And everyone in the company, from engineering to marketing, has at least half their monthly salary allocated in AI tokens to burn each month. If you're not spending it, you're falling behind. The interesting question isn't whether this happens. It’s already possible today. And it's which parts your company is already 6 months away from, and which parts you haven't even started thinking about. Where is your team on this curve? And if you’re curious to know more DM me and let’s chat.

Apr 2026
LinkedIn

Reading this this morning hit me quite personally. I’ve been down this road before… The result? Hardcore burnout that took me 3+ years to recover from. The past couple of weeks I’ve been seeing non-stop hate on these guys literally working around the clock to solve people’s problems and bring a better service to their customers. Being a Claude Ambassador I’ve had the privilege to speak to Thariq live more than most people and I can tell you he’s one of the most genuine and caring devs I’ve met, even giving us extra time to ask questions when he must be on an insane schedule. I wish people would stop taking for granted what these guys are doing. Wishing everyone a good start into the week, let’s be kinder to each other.

Apr 2026
LinkedInArtificial Intelligence

Today I’m launching Famili.one Famili.one did not start as a startup idea, a pitch deck, or a market trend. It started at home. My wife and I have shared care work for years. A couple of years back, I reduced my working hours so that work and family life could actually function together. And like many families, we learned that the hardest part is often not willingness. It is everything around it. Who remembers the appointments? Who knows the contact details? Who keeps track of gifts, forms, clothes, documents, and all the little things that make family life work? That is where so much mental load lives. Not only in doing things, but in carrying the responsibility of remembering, planning, and making sure nothing gets dropped. So I approached the problem the way I approach product work. Understand what is actually missing. Then build it. What we did not need was just another calendar. Or just another to-do app. What we needed was a shared family space. One place for calendar, tasks, reminders, contacts, and documents—a place where responsibility becomes visible and shareable, instead of quietly living in one person’s head. That is why I built Famili. And the part I love most about this launch is this: Famili.one was built solo by me. No team. No agency. No extra development resources. Just me, Claude, Codex, and an AI-native way of building products. A one-person product team, going from idea to real product with agentic development as a true multiplier. To me, that is part of the story too. Famili is about making invisible work visible inside families. But it is also proof of how much one person can now build when product thinking and AI-native development come together. It is live now, and I’m incredibly excited to see where it goes from here. If you have thoughts on mental load, shared responsibility, family organization, or AI-native product building, I’d love to hear them. #Launch #Product #Startup #MentalLoad #CareWork #FamilyLife #AIDevelopment #AgenticDevelopment #BuildInPublic

Apr 2026

About this data. Trusted Shops (trustedshops.com). Department attribution is 59.26%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries