We track your brand across every step of the conversational search funnel to pinpoint exactly where you lose the recommendation — backed by real, verifiable evidence.
✓ 100% evidence provenance • Zero synthetic scores
Seven Corners reached the decision stage, but Travelex was recommended when the question focused on value for money.
The same pattern appeared across repeated measurements.
Three decision-stage answers, with the question asked and the sources shown alongside each.
How Travelex's value proposition appears in the answers and sources behind those recommendations.
Illustrative example.
A brand can appear throughout an AI conversation — and still lose when someone asks:
“Which one should I choose?”
We follow that journey and show you where your brand stops being the answer.
| Discover | Evaluate | Compare | Decide | |
|---|---|---|---|---|
| Seven Corners | ✓ | ✓ | ✓ | — |
| Recommended | ✕ |
You're still in the conversation.
Someone else gets the recommendation.
Conversational surfaces are measured as journeys. Google AI Overviews and AI Mode are measured separately, because they answer individual searches rather than continuing a conversation.
AI recommendations don't always follow search rankings.
We show which competitors enter the conversation, survive the journey and get recommended instead.
Some competitors only appear when the customer starts talking to AI.
When an answer matters, see the pages behind it.
“…for your priorities, I’d choose Allianz Travel…”
See the exact answer, the question that produced it, and the URLs shown alongside it.
The engine looks for patterns that repeat across measurements — not one-off fluctuations.
Seven Corners reached the decision stage, but another insurer was recommended when the question focused on value for money.
The same pattern appeared across repeated measurements.
Examine how the competing insurer's value proposition appears in the answers and sources associated with those recommendations.
That's it.
Present at decision. Not recommended.
Allianz Travel was recommended instead.
Here's the answer.
Here are the sources.
Here's the pattern worth investigating.
Measure conversational buyer journeys and Google's AI search surfaces separately.
Each surface can behave differently. We keep those differences visible instead of hiding them in one score.
Open any result and see what actually happened.
The exact AI response.
What the customer asked.
The URLs shown with the answer.
When the evidence isn't strong enough, we say so.
Stop handing clients generic rank-tracking PDFs.
White-label our diagnostic engine to deliver audit-ready fact trails and justify your agency's retainer in 5 minutes.
Priced by the number of markets you monitor. EUR, billed monthly, cancel anytime.
Up to 24 questions per market, across ChatGPT, Gemini and Perplexity.
Request accessNot exactly. Rank trackers give you a visibility number. We record whether your brand is Named or Recommended at each step when someone asks AI which brand to choose — including who gets recommended instead and what the answer was based on.
A repeated pattern in the evidence that is strong enough to investigate. The engine matches real evidence against deterministic rules, then shows what happened, why it may matter, and where to look next.
Yes. Every finding can be opened back to the original AI answer, the question, the surface, and the sources shown with it.
No. It identifies the gaps and sources worth investigating. What you change is your decision.
We say so. A single result is not presented as a trend.
ChatGPT, Claude, Gemini and Perplexity as conversational journeys, plus Google AI Overviews and Google AI Mode as individual search surfaces.
A brand and a market. We help define the buyer questions and measurement setup before the first run.
We reply within one business day from hello@brandsnode.com with the buyer questions proposed for your brand.