AI Recommendation Intelligence
And you never see it happen. No traffic, no analytics, just buyers who went with whoever AI recommended instead of you. Bersyn records what ChatGPT, Claude, Perplexity and Gemini actually answer when buyers ask about your category — how often each company is named, who is named instead, and what the assistants cited — so you can see what happened and what may be worth investigating.
Bersyn is being rebuilt around verified measurement. Self-service purchases are closed while that work is in progress.
What AI actually says
When a buyer asks AI which tool to use, you get one answer — and a name. Bersyn captures what each model said and which companies it named. Example evidence:
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
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
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
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.
What the measurement showed
These are observations from the recorded answers. Bersyn does not conclude why an assistant answered as it did.
Recommendation Topics
Bersyn organizes recommendations around the topics and questions buyers actually ask AI — so you can see the whole competitive picture, not a single number.
Recommendation Topics — coming soon
Evidence-first
A count tells you how many recorded answers named a company, out of how many were asked. The evidence — what each assistant actually said — is what the count is made of, and it stays attached to every number.
Built for B2B SaaS founders, product marketers, and growth teams in competitive categories — where buyers are already using AI to shortlist tools.
A market is a category in one country and one language. Bersyn asks the buyer questions people actually ask, across all four assistants, several times each — and keeps every answer.
How many answers named each company, which companies were named instead, whether the assistant searched, and what it cited. Four separate observations, each with its denominator, never blended into a score.
Where a company is rarely named, Bersyn shows the answers that make that true and says so plainly. What to do about it is a judgement for you — Bersyn does not claim to know which change would alter what an assistant recommends.
Where a company is not named, the recorded answers show how it was described instead.
“The main options are Flatfile and CSVBox.”
AI lists your competitors but not you.
“ImportKit is an ETL pipeline tool.”
AI puts you in the wrong category, so buyers in your real category never see you.
“It helps with data imports.”
AI describes you so vaguely that no buyer can tell whether you fit.
“ImportKit, similar to Flatfile, offers...”
AI conflates you with a competitor and your differentiation disappears.
How many recorded answers named the company, out of how many were asked; which companies were named instead; which buyer questions they were named in least; and the verbatim answers behind every count.
Recorded answers that named this company
95 of 144
15 of 36
ChatGPT
34 of 36
Claude
32 of 36
Gemini
14 of 36
Perplexity
Also named in those answers
Uniconta 72 of 144 · Payday 70 of 144 · Regla 64 of 144
Counts of recorded answers. Not a rank, and not a score.
Worth investigating
Named in 2 of 12 answers to one buyer question — the recorded answers are attached
Internal test case
In August 2026 we ran our own measurement against itself, roughly 590 live conversations, to check whether what we were selling held up. Enough of it did not that we stopped selling it.
What did not hold up
A single score blended four assistants that disagreed with each other. Percentages implied a resolution the measurement did not have. And a before-and-after was being read as proof that the work in between caused the difference.
What replaced it
Counts with their denominators, reported one assistant at a time. Repeats kept visible instead of averaged. Presence, web search and citations recorded as three separate observations. The recorded answers kept as evidence behind every number.
What we can and cannot tell you: Bersyn reports what the assistants answered. When two measurements are comparable it can report the difference between them. It does not claim that something you published caused that difference — we have measured the same market twice with nothing done in between and seen counts move on their own.
Bersyn does one thing: it records how AI assistants represent your product to buyers, and shows you the answers behind every count. 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.
One-time audit and ongoing tracking
These are two earlier Bersyn products. The website audit was a one-time readability check of your site; the subscription tracked who AI recommends over time. Both are paused while the measurement behind them is rebuilt.
vs. manual prompt testing
Manual testing in ChatGPT is unstructured and hard to repeat. Bersyn asks all four AI systems the same buyer questions in one measurement, several times each, and keeps every recorded answer.
vs. generic AI dashboards
Most dashboards stop at a number. Bersyn keeps the recorded answers, shows which companies were named instead, and links every count back to the answers it came from.
Bersyn is not a rank tracker, an LLM traffic tool, or a content marketing engine.
We ran our own method against itself across roughly 590 live AI conversations. Enough of it did not hold up that we stopped selling it rather than restate it. Existing reports remain available and nothing has been deleted.
What we found and what comes next →Bersyn measures a market across ChatGPT, Claude, Perplexity and Gemini, and reports how many recorded answers named each company, which companies were named instead, and what was cited. New measurements are not running while the method is verified.
See where Bersyn is nowOne email when there is something worth sending.
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