Why is AI recommending
your competitors instead of you?

Bersyn shows what ChatGPT, Claude, Gemini and Perplexity actually say, who they recommend, who they ignore, and why.

No credit card. We email your scan in ~2 minutes: which buyer conversations go to competitors, which Surface fails you hardest, and exactly what gets named instead of you.

$49/month to generate fixes and re-scan. Cancel anytime. · See a sample report

See sample evidence →

What AI actually says

Real answers, not a black box

When a buyer asks AI which tool to use, you get one answer — and a name. Bersyn captures what each model said, who it recommended, and at what position. Example evidence:

ChatGPT

What is the best authentication platform for SaaS?

For B2B SaaS, the most established options are Auth0 and WorkOS, with Clerk popular for fast setup…

Recommended: Auth0 · WorkOS · Clerk

Claude

Best product analytics for a startup?

PostHog and Mixpanel are the usual picks; Amplitude is strong if you need deeper behavioral analysis…

Recommended: PostHog · Mixpanel · Amplitude

Gemini

Which cold email tools should I evaluate?

Instantly and Smartlead lead for deliverability; Lemlist is common for personalized sequences…

Recommended: Instantly · Smartlead · Lemlist

Illustrative examples of the evidence Bersyn captures.

Recommended instead

Who AI names in your place

When AI omits you, it still recommends someone. Bersyn identifies the competitors named instead of you — by buyer question and by model — so you know exactly who is winning the recommendation and where.

Why you're missing

The reasons behind it

  • · Representation Issues — omitted, misclassified, generic, or confused
  • · Missing evidence AI can draw on
  • · Weak category association
  • · Model disagreement across the four surfaces
  • · Territory mismatch — what AI thinks you are vs. what you are

Recommendation Topics

Organized around buyer questions, not just company scores

Bersyn organizes recommendations around the topics and questions buyers actually ask AI — so you can see the whole competitive picture, not a single number.

Best AI visibility toolsBest authentication platformsBest CRM for startupsBest hotels in Reykjavík

Recommendation Topics — coming soon

Evidence-first

Scores summarize. Evidence explains.

A score tells you that something is wrong. The evidence — what each model said, who it recommended, and why — tells you what to do about it. Bersyn leads with the evidence.

Built for B2B SaaS founders, product marketers, and growth teams in competitive categories — where buyers are already using AI to shortlist tools.

Public scoreboard

100+ B2B SaaS companies publicly scanned

We run the same Bersyn audit on companies in dev tools, sales, marketing, auth, and analytics — and we publish every result. See where your category leaders rank.

109

Companies scanned

32

Below 3/10 score

4

Surfaces per scan

Surfaces scanned: ChatGPT, Claude, Perplexity, Gemini.

How Bersyn works

01

Add your product

Paste your URL. Bersyn reads your site to understand your category, capabilities, and what makes you different — and uses that as the baseline AI should match.

02

Scan four AI systems

Bersyn runs the questions your buyers ask through ChatGPT, Claude, Perplexity, and Gemini. You see what each one says about you, conversation by conversation.

03

Fix what's missing and re-scan

For each buyer question where AI omits or misrepresents you, Bersyn generates a piece of content you can publish. The next scan shows whether it landed.

The four ways AI gets your product wrong

Every scan classifies the Representation Issue — so you know what kind of fix it needs.

Omitted

“The main options are Flatfile and CSVBox.”

AI lists your competitors but not you.

Misclassified

“ImportKit is an ETL pipeline tool.”

AI puts you in the wrong category, so buyers in your real category never see you.

Generic

“It helps with data imports.”

AI describes you so vaguely that no buyer can tell whether you fit.

Confused

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

AI conflates you with a competitor and your differentiation disappears.

What you get back from every scan

A short report you can understand in under a minute: who AI recommended, who was recommended instead of you, the representation issues, and which buyer questions need attention first. A compact score is included as a quick secondary signal.

ReportMar 19, 2026 · 4 AI systems
Verified

4

Recommended instead

5

Representation issues

38%

Coverage

3.1

Score · signal

Category

Emerging

Top representation issue

AI doesn't place you in your category

Recognition

Partial

Highest risk

Claude

Next action

Recommended instead in 3 buyer questions — generate the missing evidence to fix it

What the numbers mean

Recommended instead
The competitors AI named in your place — by buyer question and by model. This is who is winning the recommendation when you are omitted.
Representation Issues
Buyer questions where AI omits, misclassifies, generically describes, or confuses you. Each issue is specific, traceable to what the model said, and fixable.
Coverage
The share of buyer questions where you appear at all. 38% means you show up in just over a third of the questions buyers ask.
Score
A compact 0–10 secondary summary — a quick signal of overall representation, not the headline. The evidence above is what tells you what to do.
Category
Where AI places your product on a maturity scale: Emerging, Forming, Contested, or Dominant. Tells you whether you're invisible in your category, present, competitive, or leading.
Highest risk
The AI system where your representation is currently weakest — the one to focus on first.

Internal test case

We tested Bersyn on our own product

ImportKit is a CSV import widget we maintain. We ran it through Bersyn for ten days, published the fixes it flagged, and re-scanned.

Before

0.7 / 10

Invisible in seven of eight buyer conversations. Misclassified as an ETL tool by two AI systems. None of our differentiators recognized.

After 10 days

3.3 / 10

Present in five of eight buyer conversations. Category corrected. Core capabilities recognized in three of four AI systems.

What we did: Two comparison articles, one technical docs page, one README update. Each one addressed a specific representation issue from a Bersyn scan. The next weekly scan showed the change.

ImportKit is our own product. We're disclosing this so you read the result for what it is — an internal test, not a customer case study.

How Bersyn is different

Bersyn does one thing: measures how AI represents your product to buyers, and helps you fix it. Here's how that compares to what you may already use.

vs. SEO tools

SEO tools rank pages on Google. Bersyn measures what AI tells your buyers when they ask which tool to use. The two surfaces don't behave the same way, and more buyers are now using AI to shortlist tools.

vs. one-time AI audits

An audit is a single snapshot. Bersyn re-scans on a schedule, so each fix gets verified and you catch regressions when AI providers update their models.

vs. manual prompt testing

Manual testing in ChatGPT is unstructured and hard to repeat. Bersyn runs the same prompts across all four AI systems on the same schedule, scored consistently every time.

vs. generic AI dashboards

Most dashboards stop at a number. Bersyn shows who AI recommended instead, classifies the representation issue, and generates the specific content to fix it.

Bersyn is not a rank tracker, an LLM traffic tool, or a content marketing engine.

Common questions

One plan. One price. Founding Beta.

$49/month, billed monthly. Cancel anytime. VAT added at checkout.

Includes scans across all four AI systems, representation-issue classification, generated fixes, and recurring scans to verify improvement.

Your first scan is free.

See full pricing →

Find out what AI is telling your buyers.

Your first scan runs across ChatGPT, Claude, Perplexity, and Gemini. You'll see who AI recommended, who was recommended instead of you, and the AI system where your representation is weakest.

Run my first scan free

No credit card. Upgrade to generate fixes and run recurring scans.