How AI describes your business — and what it gets wrong.
A focused audit of how four AI systems read your website. We find where they're confused, where competitors are easier to recommend, and what to fix.
$79 USD + VATOne-time paymentReport by email when ready
What AI thinks you are
Generic
Page fixes
5
Top finding
ChatGPT and Claude classify Acme as a generic marketing agency. They recommend three competitors by name before mentioning Acme.
Sample — your report will use your site
Why this matters
When AI gets your business wrong, you lose deals you never see.
- Wrong category. AI puts you in a bucket that doesn't fit, so it never surfaces you for the right buyer questions.
- Vague description. AI talks about you in generic terms, with nothing memorable to anchor on.
- Competitors get recommended instead. The model has clearer signals about them than about you.
- Important pages stay hidden. Pricing, product, and proof pages aren't reaching AI in a form it can parse.
Why trust this audit
We show our work before we ask for yours.
We ran the same audit on ourselves
Bersyn published its own scan, gap list, and patch plan. Same methodology you receive.
Read the teardown →We've published eight real public scans of B2B SaaS companies
Well-funded startups across four AI surfaces — how each AI described them, which brands it recommended instead, and the page fixes that changed the answer.
Read the scans →We publish honest comparisons against the other AI-recommendation tools
Side-by-side write-ups versus Otterly, Profound, AthenaHQ, and Peec.ai. No hidden conclusions.
Read the comparisons →
Listed in the structured knowledge graph at Wikidata Q139927512.
What you get
A focused diagnostic. Not a 200-page report.
[01]
How AI represents you
What ChatGPT, Claude, Perplexity, and Gemini think your business is — wrong category, vague or missing detail, and the page evidence that's absent — so AI has clearer evidence to classify and recommend you.
[02]
What AI is getting wrong
Specific gaps in how each AI reads your site: misclassification, missing details, generic descriptions, competitor confusion.
[03]
Concrete fixes
Copy-pasteable text suggestions for each gap — tied to a real page on your site.
Read our public scans
The methodology, in the open.
We ran Bersyn on Bersyn
Our own scan, our own gaps, our own patch plan. Receipts, not claims.
Read →We scanned eight SaaS companies
Four AI surfaces, eight well-funded B2B startups. The same competitors kept winning.
Read →Comparing AI-recommendation tools honestly
Bersyn next to Otterly, Profound, AthenaHQ, and Peec.ai. Full write-ups, no spin.
Read →How it works
Three steps. One report.
01
Enter URL and email
No account. No setup. Just your URL, your email, and a one-time payment.
02
We analyze
We crawl key pages and check how four AI systems describe your business.
03
Report by email
We send the report to your inbox. Usually within a few minutes.
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Every Wednesday: 5 public scans of B2B SaaS companies, plus the patterns we see across AI Surfaces. Free, one-click unsubscribe.
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