About Us

We sold on Amazon before we built for it

ZonGuru started with two Amazon sellers and one stubborn question: why does one listing win while another, just as good, disappears? We never stopped asking it. A decade of our own market data later, Amazon's AI now reads every listing, and the question matters more than ever. Curiosity built this company, and it still runs it.
The ZonGuru team
Mission
01

ZonGuru exists to engineer one listing that both of Amazon's engines can read

My name is Jon Tilley, and I started selling my own private-label products on Amazon in 2014. The tools I bought were built by people who had never sold on Amazon, so in 2016 I started ZonGuru with Stefan Ratchev. Stefan sold on Amazon too, which is why we built for sellers, by sellers.
Then shoppers started asking Amazon for products as well as searching for them. A9, the keyword engine, still decides where a listing ranks in search results. Amazon's shopping agent, Alexa for Shopping, runs on an AI engine that now decides which listing gets recommended in that conversation. Both read the same listing, but A9 looks for keywords while the AI looks for answers to a shopper's questions. So our job became one listing both engines can read, backed by a decade of our own data.
That is ZonGuru now: the AI Listing Engineering platform, doing for AI-era Amazon what SEO did for the keyword era.

Helix™ is the engine that does the work. It scores a listing, rebuilds it for both engines, publishes it to Amazon and keeps watching it.

I remember what it felt like to guess, and I did not want another seller to. Every decision we make answers one question: can the seller measure the result? That is why every listing carries a score before and after the work.
Jon Tilley
CEO
Jon Tilley, ZonGuru Founder and CEO
timeline
02

A decade of seller data, then the engine that reads it

September 2026

Helix 2.0, always on
Helix 2.0 launches: an always-on platform that scores your whole catalogue, rescans it every month as competitors and buyer questions change, and re-engineers what slipped.

May 2026

The discipline, validated
Five weeks after Helix, Amazon launches Alexa for Shopping on top of the same listing layer Helix engineers. The launch validated the discipline.

April 2026

Helix launches
Helix launches, engineering one listing for both of Amazon's engines on the A9 data foundation. A prototype had run since September 2025.

2016 - 2025

The A9 data foundation
Ten years of Amazon keyword, ranking, competitor-sales and niche data become what we call the A9 data foundation. Every listing we engineer stands on it.

2014 - 2016

For sellers, by sellers
Jon Tilley starts selling private label on Amazon in 2014. Two years later he and Stefan Ratchev start ZonGuru.
metrics
03

We were building for Amazon's AI moment before it was a moment

Where we started
For a decade, ZonGuru's work has been reverse-engineering Amazon's algorithm: which signals earn a listing visibility, and how to build content that sends them. Sellers and the agencies that manage them run on that research.
Where we are now
Amazon's algorithm is now an AI that reads a listing and answers a shopper. Engineering listings for it is our full focus, and Helix is the engine that does it. We named the discipline AI Listing Engineering, and we measure it.
5,000+
brands served
3,000+
engineered listings shipped across the US and UK
$200M+
in client revenue, handled by agencies we serve
6,000+
listings scored for AI readiness
Our team
04

The people behind the platform

Jon Tilley, ZonGuru team member
Jon Tilley
Founder & CEO
Stefan, ZonGuru team member
Stefan Ratchev
CTO
Kiril, ZonGuru team member
Kiril Tsarnakliyski
Head of Product
Daniel, ZonGuru team member
Daniel Richman
Head of Marketing
Viktor, ZonGuru team member
Viktor Bahtev
Head of Engineering
Alex, ZonGuru team member
Alexander Dimitrov
Head of Design
Evgeni, ZonGuru team member
Evgeni Petrov
Head of SEO & AI Operations
Ivaylo, ZonGuru team member
Ivaylo Mantchev
Affiliate Manager
Stuti, ZonGuru team member
Stuti Mishra
Customer Success
Boyana, ZonGuru team member
Boyana Abadzhieva
Quality Assurance
Kimberly, ZonGuru team member
Kimberly Lock
Account Lead
Arianne, ZonGuru team member
Arianne Samontan
Seller Central Support Specialist
Vim, ZonGuru team member
Vim Vaca
Project Manager
Zyra, ZonGuru team member
Zyra Mae
Amazon PPC Specialist
Values
05

What we hold to

The ZonGuru team together at a company gathering
Market truth over inference
Every decision about your listing runs on real Amazon keyword, ranking, competitor-sales and niche data. A generic AI writing tool can only imagine the market, so we measure it instead.
For sellers, by sellers
The people who started ZonGuru were Amazon sellers, and most of the team are sellers today. We build what we would want to use ourselves.
Engineered, then measured
We do not ask you to trust us. Every listing is built as structured product knowledge, facts Amazon's engines can read, then scored before and after. So if a result cannot be measured, we do not claim it.
Ask the next question
Amazon will change how it reads a listing again. We stay ahead of that by asking the next question before the market does.
careers
06
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We're hiring

A distributed team is building the discipline Amazon's AI era requires, and there is room on it for you.
Blog
07

How Amazon's AI decides which listings win, weekly

Read the Blog

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