Company details

HEADCOUNT

25-99

ORG TYPE

Startup

SECTOR

Technology & Digital

WEBSITE

https://www.peec.ai

About the company

Peec AI builds analytics software that helps marketing teams track and improve how brands show up in AI-generated answers across tools like ChatGPT and Perplexity. The company launched in February 2025 and has positioned itself around “AI search” and generative engine optimisation, with a fast growth narrative and recent funding to scale hiring. Peec AI markets a Berlin-first, in-office culture with relocation support, while still offering a few time-zone-bounded remote roles. Recent announcements also point to expansion plans, including opening an office presence in New York.

Locations and presence

Peec AI is centered on Berlin, Germany, with hiring and relocation messaging geared toward getting people into the Berlin office. Some roles allow remote work within ±3 hours of CET, and the company has publicly discussed establishing a New York presence.

Palpable Score

70.9

/ 100

Peec AI is unusually transparent for a startup on pay, and the company is actively hiring interns and near-entry roles that a graduate can realistically target. The limiting factor is outcomes proof: there is very little public evidence yet on early-career progression, retention, or promotion patterns.

Pillar 1: Early-career access

Score

14.7

/ 20

The company lists several roles with genuinely early-career entry points, including Customer Support Associate (1–2 years) and Growth Generalist (1+ years).
Peec AI runs “Visiting” internships across Sales, Finance, Marketing, and Founders Associate tracks, with a stated 3-month minimum and monthly pay.
The company’s core technical roles skew mid-to-senior (for example senior engineering and leadership data science), so early-career access is present but not the majority of hiring.

Pillar 2: Hiring fairness and transparency

Score

16.0

/ 20

The company publishes compensation ranges directly on the careers site for multiple roles (including early-career-facing roles) rather than hiding pay behind later-stage conversations.
Peec AI shows a visible application flow structure on the careers site that signals staged evaluation (including an explicit “challenge” and “superday”), even though time-bounding for the challenge is not spelled out publicly.
The company uses a consistent ATS-style application process across roles and clearly labels location type (on-site vs selected remote) plus relocation support expectations.

Pillar 3: Learning and support

Score

14.0

/ 20

The company positions internships as high-exposure roles with direct founder access (for example Visiting Finance Associate and Visiting Sales Associate descriptions emphasise close founder work).
Peec AI describes ownership-heavy scopes for junior-leaning roles (for example Customer Support Associate includes building CX processes like help center and onboarding improvements), which can accelerate learning when paired with guidance.
The company does not publish much about concrete coaching mechanics (structured onboarding plan, buddy system, recurring reviews, or training time), which caps confidence in consistency of support.

Pillar 4: Pay fairness and stability

Score

17.2

/ 20

The company includes salary bands on the main careers page for multiple roles, including Customer Support Associate (€55K–€65K) and Founders Associate (Technology) (€60K–€80K).
Peec AI’s internship postings share a clear monthly compensation figure (€3K/month) and frame internships as paid, on-site roles rather than open-ended “trial” arrangements.
The company advertises equity and practical benefits (for example gym membership, dinners and rides when working late, and equipment), though details like benefits coverage structure are not fully laid out publicly.

Pillar 5: Early-career outcomes

Score

9.0

/ 20

The company is hiring interns across multiple tracks with repeat postings, which is a positive signal for early-career intake, but it is not the same as showing conversion-to-full-time rates.
Peec AI’s public growth and funding announcements point to rapid team expansion plans (including hiring targets), which can create opportunities for fast responsibility growth, but specific promotion stories are not published.
The company’s LinkedIn footprint gives a rough headcount snapshot, yet there is little accessible public evidence on early-career retention, internal progression timelines, or junior sentiment in reviews.