AI is telling buyers
about your product.

Bersyn scans ChatGPT, Claude, Perplexity, and Gemini to show you exactly how they represent your product — then helps you fix misclassifications, missing differentiators, and conversations where you don't appear at all.

See where AI gets your product wrong, fix the gaps, and measure what changes.

Join the Founding Beta — $49/mo24 spots. No contracts. Cancel anytime.

What Bersyn finds

Real issues from real AI conversations about real products.

Misclassified

“ImportKit is an ETL pipeline tool”

AI puts you in the wrong category

Omitted

“The main options are Flatfile and CSVBox”

AI recommends competitors, not you

Generic

“It helps with data imports”

AI describes you without specifics

Confused

“ImportKit, similar to Flatfile, offers...”

AI conflates you with a competitor

Internal Bersyn test case

We tested Bersyn on our own product

ImportKit (CSV import widget) — scanned and patched using Bersyn over 10 days. Real data, not a simulation.

Before

0.7 / 10

Invisible in 7 of 8 buying conversations. Misclassified as “ETL tool” by 2 providers. No differentiators recognized.

After 10 days

3.3 / 10

Present in 5 of 8 buying conversations. Category corrected. Core capabilities recognized by 3 of 4 AI surfaces.

What we published: 2 comparison articles, 1 technical docs page, 1 README update — each anchored to specific gaps identified by Bersyn scans. Score improvement verified by weekly re-scan.

This is an internal Bersyn test, not a customer case study. ImportKit is a product we maintain.

How it works

01

Define your identity

Tell Bersyn what your product is: category, capabilities, differentiators, and boundaries. We extract it from your website, docs, or code — then lock it as your verified source of truth.

02

Measure AI representation

Bersyn scans four AI surfaces with the questions your buyers ask. Each response is scored against your verified identity — per provider, per conversation, every week.

03

Fix what's wrong

Generate corrective content targeting specific gaps. Each patch addresses a specific conversation where AI misrepresents or omits your product. Re-scan to prove the fix worked.

What you see inside

After every scan, Bersyn shows what AI got right, what it missed, and what to fix next.

ReportMar 19, 2026 · 4 surfaces
PIL v3 attested

3.1

Score

38%

Coverage

5

Gaps

2

Patched

Category

Emerging

Primary gap

Weak category recognition

Entity

Partial

Highest risk

Claude

Next action

Absent in 3 core conversations — generate patches to close gaps

What Bersyn is not

Not an LLM traffic tool. We don't game AI outputs.

Not a rank tracker. We measure control per conversation, not a single global rank.

Not a generic SEO suite. This is identity verification for AI surfaces.

Not a one-time report. It's a measurement + correction loop that compounds every week.

The Protocol

Every action produces a receipt. Every claim is verifiable.

01

Attest

Define your canonical identity with evidence. Lock it as a verifiable source of truth.

02

Measure

Scan four AI surfaces weekly. Score representation against your attested identity.

03

Act

Generate corrective patches targeting specific gaps in specific conversations.

04

Prove

Re-scan. Measure what changed. Every improvement has a receipt.

Questions

AI is already representing your product.

The question is whether that representation is accurate — or whether your competitors wrote it for you.

Join the Founding Beta — $49/mo

24 spots. No contracts. Cancel anytime.