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.

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.
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.

timeline
02
A decade of seller data, then the engine that reads it
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
Founder & CEO

Stefan Ratchev
CTO

Kiril Tsarnakliyski
Head of Product

Daniel Richman
Head of Marketing

Viktor Bahtev
Head of Engineering

Alexander Dimitrov
Head of Design

Evgeni Petrov
Head of SEO & AI Operations

Ivaylo Mantchev
Affiliate Manager

Stuti Mishra
Customer Success

Boyana Abadzhieva
Quality Assurance

Kimberly Lock
Account Lead

Arianne Samontan
Seller Central Support Specialist

Vim Vaca
Project Manager

Zyra Mae
Amazon PPC Specialist
Values
05
What we hold to

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
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 BlogWhat's actually moving your rankings
One email a week on what COSMO and Alexa for Shopping actually read on your listings. Every issue is grounded in 6,000+ AI Readiness Score reports, with no fluff and no pitch.
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