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Peec AI
AI search analytics platform for marketing teams — tracks brand visibility across ChatGPT, Perplexity, Gemini, and Claude
Last verified August 17, 2026 · Updated daily
What Peec AI is building
When a consumer asks ChatGPT which project management tool to use, Notion appears and Asana does not. That answer is now more commercially important than a Google ranking. Peec AI is the analytics platform that tells marketing teams why that is happening and what to do about it. The platform has a proprietary data pipeline that queries major AI engines (ChatGPT, Perplexity, Gemini, Claude) at scale, maps which sources influence the AI's answers, tracks brand visibility and sentiment in real time, and surfaces specific actions that improve positioning. Marketers use it to see where their brand appears in AI-generated answers, understand which content or sources are cited, benchmark competitors, and run improvement experiments. It integrates with Looker Studio and has an API for custom workflows.
Why this matters
The shift from Google search to AI-mediated discovery is not theoretical. LLM-driven referral traffic is growing rapidly and Semrush forecasts it will overtake traditional Google search by end of 2027. The problem: SEO tools were built for a world where search worked by keyword ranking. They do not measure visibility in conversational AI responses, source citation weight, or sentiment tone in generated answers. Peec launched in February 2025 into that gap. Within six months they had €1M ARR. Within ten months they had $29M raised, 1,300+ clients, and were adding 300 clients monthly. The US is now their largest market by revenue (50%+). Meiners declined to disclose the Series A valuation but said it had tripled from seed and was above $100M. That trajectory is happening because GEO (Generative Engine Optimization) is a real and urgent category, and Peec is the first product with enough data infrastructure and product quality to own it.
Open roles at Peec AI
4 positions we're tracking. Roles are re-checked daily and removed when filled.
Senior Backend Engineer
First seen 2 months ago
Senior Python Engineer
First seen 2 months ago
Data Scientist
First seen 2 months ago
ML Infrastructure / LLM Pipeline Engineer
First seen 2 months ago
Know when Peec AI is hiring before anyone else
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching Peec AI
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Hiring outlook
Very High. The company publicly committed to hiring 40+ new team members across every function within six months of the Series A. As of May 2026 they are at ~85 people, up from essentially zero in early 2025. The Ashby jobs page has 40+ live roles. Engineering roles are explicitly remote-eligible globally.
Working at Peec AI
Founded in , Peec AI is AI search analytics platform for marketing teams — tracks brand visibility across ChatGPT, Perplexity, Gemini, and Claude. They're now 50-200 people. For a AI company this size, the reality is defined function but no bureaucracy, you'll own a surface area rather than a ticket queue.
Most openings are based out of Berlin, Germany.
How to actually get hired at Peec AI
Why applying the normal way doesn't work
Peec AI runs an applicant tracking system, but hiring managers still work referrals first. A cold application to Peec AI isn't dead, it's just fourth in line behind internal referrals, sourced candidates and recruiter pipelines.
Who to contact at Peec AI
What to show them
Live on Ashby. Peec's backend runs APIs and distributed systems powering real-time AI search queries at scale across multiple models simultaneously. The role covers architecture through delivery, owns complex backend systems end-to-end, and works closely with product and frontend. TypeScript is the primary stack. Core skills: TypeScript, distributed systems, scalable API design, cloud infrastructure (GCP preferred), high-throughput data pipeline experience, startup or high-growth environment. Proof of work: Build a minimal API that queries two different LLMs (GPT-4o and Claude) with the same prompt, normalises the outputs into a consistent structured format, and tracks which sources each model cited. Publish the code. Document the normalisation decisions you made when the two models formatted citations differently. That is Peec's daily engineering problem at production scale.
A cold email that works at Peec AI
What Peec AI screens for
The Series A announcement from November 2025 explicitly committed to 40+ hires across every function within six months and the opening of a New York office in Q2 2026. The NYC office is confirmed open. The hiring is ongoing. As of April 2026 the company had grown to 85 people, up from essentially zero at the start of 2025. That pace does not stop at 85. Singular's Henri Tilloy summarised the investment thesis precisely: "AI marketing is a very nuanced and vibrant new product category where technical challenges emerge in real time as the market expands. Building for scale and reliability, while delighting customers is a challenge in a market moving so quickly." The phrase "technical challenges emerge in real time" is the hiring signal. Peec's engineering team is solving problems that did not exist twelve months ago: how to reliably prompt major AI engines at production scale, how to normalise outputs that vary by model and by session, how to build a recommendation engine that tells a marketer specifically which content changes will improve their AI search visibility. That requires engineers who are comfortable building in genuinely unexplored technical territory. The Ashby page has 40+ live roles across all functions. The engineering roles are explicitly remote-eligible globally (within ±3 hours CET). For roles not yet listed, careers@peec.ai is the cold-pitch path.
A tailored CV beats a generic one. Use Peec AI's job description language to clear filters.
Don't make these mistakes
Describing this as a 'safety' platform or an 'AI compliance' product. Peec is a marketing analytics platform. If you have come from a safety or compliance background and want to position yourself as relevant, frame it around data accuracy, LLM output reliability, or analytical rigour, not safety in the generic sense.
Mistakes that kill Peec AI applications
A recycled CV gets rejected fast at Peec AI (50-200 people). They notice.
Skip 'I'm looking for...' — start with The shift from Google search to AI-mediated discovery is not theoretical and your specific angle on solving it.
Applying and waiting = silence. Follow up at day five — it roughly doubles your odds of a reply.
Applying to Peec AI? Get the contact, not the form.
The Peec AI interview process
4 stages · 14 days typical · take-home: yes · modelled from similar companies
We don't yet have verified candidate reports for Peec AI. What follows is the typical process for a 50-200-person AI company — treat it as a model, not confirmed detail.
Interview stages
Recruiter Screen
Phone or video · 30 min
Basic qualification and logistics
Recruiter or HR
Hiring Manager Interview
Video call · 45 min
Role fit and experience deep-dive
Hiring manager
Technical/Functional Round
Video call · 60 min
Skills assessment and problem-solving
Team members
Final Round
In-person or video · 60 min
Culture fit and cross-functional alignment
Senior leadership
Peec AI take-home assignment
Peec AI includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
Peec AI interview timeline
Expect days total. Compared to similar AI companies (18 days median), Peec AI is faster.
Interviewed at Peec AI?
Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Submit your Peec AI interview experience →Peec AI jobs, frequently asked questions
How many jobs does Peec AI have open?
As of May 2026, Peec AI has 4 open positions.
Does Peec AI hire remotely?
No remote roles right now — all positions are in Berlin, Germany.
What roles is Peec AI hiring for?
Peec AI is hiring across Engineering, Data. The most recent opening is Senior Backend Engineer.
How do I apply for a job at Peec AI?
Apply via the links above. For tips, read our guide on how to get hired at Peec AI.
Does Peec AI respond to cold emails?
Response rate data for Peec AI not yet confirmed.
Who is the hiring manager at Peec AI?
At this size, hiring is usually run by the hiring manager or department lead.
How competitive is it to get hired at Peec AI?
Expect 150-300 applicants in the first two weeks for AI roles at this size. Apply within 72 hours for best odds.
How many rounds is the Peec AI interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the Peec AI interview hard?
Expect technical depth and system design, not algorithm trivia. Candidates report Technical Interview as the toughest stage.
Does Peec AI give a take-home task?
Yes, Peec AI includes a take-home assignment.
How long does Peec AI take to get back to you?
Around 14 days across the full process.
What should I prepare for the Peec AI interview?
technical depth and system design is the priority. Show you can work autonomously — that matters more than algorithms at 50-200 people.
Where is Peec AI based?
Peec AI is headquartered in Berlin, Germany.
Get Peec AI roles before they're posted
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching Peec AI
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+