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Beseam

Helping webshops get recommended by AI.

Beseam is the easiest way for webshops to get their products recommended by AI assistants like ChatGPT, Claude and Gemini. We track where your products show up in AI answers, optimise your product descriptions, content and technical setup, and show what it earns you, so AI becomes a revenue channel for your store.

Built in Zurich, Switzerland

The founder

Built by an engineer from Google and Amazon.

Beseam was founded by Pankaj Kumar, a former Google and Amazon engineer focused on measurement, reliability, and data infrastructure.

For the past year, he has worked closely with ecommerce founders and operators on real stores, following the same buying journey from how products are found, through what helps shoppers choose, to where purchases stop.

The same problem kept repeating: teams could measure traffic, pages, behavior, and conversion, but it was hard to see why a shopper chose one product over another. Beseam was built to keep what happened, what changed, and the result in one place.

LinkedInpankaj@beseam.com
Pankaj Kumar, founder of Beseam

Pankaj Kumar

Founder, Beseam

Grounded in real commerce.

Beseam is advised by operators who have built brands, led ecommerce teams, and worked directly with the systems merchants depend on.

  • Bettina Gimenez

    Bettina Gimenez

    E-commerce expert & DTC founder

    Co-Founder of Dancing Queens and e-commerce examination expert at Handelsverband.swiss. Former Co-Managing Director at HelloFresh Suisse.

    LinkedIn
  • Fabrizio Metzler

    Fabrizio Metzler

    Founder & entrepreneur

    Founder of OLEYVO. Former Key Partner Growth Manager at Too Good To Go. Lecturer in start-up and entrepreneurship at STF.

    LinkedIn

  • Laura Plobner

    Marketing & business development

    Works in marketing and business development. Previously product owner of a B2B soft-skill coaching platform. Runs her own Swiss ecommerce brand.

Built for the people who own ecommerce growth.

Many teams affect whether a shopper buys. Beseam keeps what happened, the proposed change, your decision, and the result in one place.

  • Product content and merchandising

    See where products are hard to find or choose, then inspect the product and merchandising evidence worth changing.

  • Ecommerce and operations

    Connect shopper behavior, store friction, approved changes, and measured outcomes around the same commercial question.

  • Developers and agencies

    Start with supported evidence, affected scope, and a narrower implementation path instead of a generic issue report.

See how Beseam follows one shopper journey from start to finish.

In a 20-minute store review, we use one real finding to show how Beseam shows what it found, what it would change, and what it checks again afterward.