Zypact records how Perplexity answers one commercially important buyer question, preserves the exact evidence, and checks the same question again after one registered change.
Perplexity Sonar only · One approved question · Automated after approval · No guaranteed outcome
Synthetic example — not customer data and not a live Perplexity probe. Failed and excluded attempts stay visible in the denominator.
What every V1
engagement fixes
The question, the surface, the sampling plan and the decision rule are fixed and versioned before anything runs — so the baseline and the retest are comparable rather than merely sequential.
See how Zypact tests whether a content change moved the same Perplexity buyer question
Approved question
Which tools help a B2B SaaS team measure how AI assistants answer buyer questions?
Teams comparing this category usually weigh how much of the underlying evidence a vendor will show1 against how narrowly its results are scoped2. Several products publish the exact provider responses behind each finding3.
Sources cited in this answer
Synthetic example — not customer data and not a live Perplexity probe. Real runs preserve the exact request, response and sources returned.
Narrow by design, and auditable end to end.
Surface, sampling, limits and the decision rule are fixed and versioned before a single paid call.
Every request, response, source and integrity check is preserved insert-only and stays inspectable.
Competitors and positions for that one question. No universal score, no market-wide claim.
One recorded intervention, an explicit observation window, and the same question asked again.
Every number on the report links back to the provider evidence that produced it, so a sceptical reader can follow the whole chain rather than take the conclusion on trust.
What reaches you, and when
Presented with equal weight. Incomplete or inconsistent evidence fails closed, and nothing is delivered as certainty it cannot support.
Increase observed
The retest shows more presence for the same question.
Decrease observed
The retest shows less presence for the same question.
No clear change
Movement stays inside the uncertainty the protocol allows.
Inconclusive
Evidence cannot support a direction, and says so plainly.
Nothing runs until the question, limits, sampling plan and observation window are approved. After that the controlled baseline runs automatically.
Fix the question, surface, sampling plan, limits and decision rule before any paid provider call.
Run the bounded Perplexity baseline and preserve every request, response and source exactly.
Register one change, wait out the observation window, then ask the same question again.
Read the Outcome Card: what moved, what the evidence supports, and what it cannot.
A retest is only meaningful if nothing else moved. Zypact holds the question and protocol identical, records the one change that was made, waits out the observation window, then reports what the evidence will and will not support.
Same question · Same protocol
SyntheticBaseline
Before the registered change
Teams comparing this category usually weigh how much of the underlying evidence a vendor will show against how narrowly its results are scoped.
Your brand cited in
2 of 15 preserved runs
Retest
After the observation window
Several products publish the exact provider responses behind each finding, so a reader can follow the chain rather than take the conclusion on trust.
Your brand cited in
7 of 15 preserved runs
Smallest change 15 runs can detect: 0.27
Synthetic example. Zypact records that the change was made and that the observation moved. It does not claim the change caused the movement.
Perplexity Sonar is the only live V1 surface, and it is presented as a directional proxy rather than the whole AI-search market. V1 produces no market-wide score, no multi-model coverage, no guaranteed recommendation, and no causal or revenue attribution. Observed movement is not proof of causality or revenue impact.
Incomplete or inconsistent evidence fails closed. A partial or unsafe result is reviewed or blocked, not delivered as certainty. Failed and excluded attempts stay visible in the denominator rather than being quietly dropped to make a cleaner number.
Clear boundaries are part of the product. A partial or unsafe result is reviewed or blocked, not delivered as certainty.
One approved buyer question, a bounded Perplexity protocol, exact baseline evidence, prompt-scoped competitor observations, one registered intervention, an explicit observation window, an automated same-question retest, and an auditable Outcome Card.
Perplexity Sonar is the only live V1 surface. Zypact does not claim automated coverage of ChatGPT, Gemini, Claude, Copilot, or the entire AI-search market.
AI answers vary. Sampling is an approved protocol parameter based on the question, uncertainty, decision threshold, limits and budget. Zypact does not silently treat three runs—or any universal number—as reliable external truth.
No. Zypact records what one defined AI surface returns for one approved buyer question. The intervention may involve positioning, content, evidence, reviews, PR, or no action at all.
No. Zypact guarantees the agreed process and evidence contract, not a favorable model response. Observed movement is never converted into causal or revenue attribution.
That is a valid result. The Outcome Card reports increase observed, decrease observed, no clear change, or inconclusive evidence and preserves the limitations and confounders behind the next decision.
The form requests access; it does not approve a protocol or start an AI call. If you proceed, the question and protocol are approved first. V1 then runs the baseline automatically. Integrity-passed records continue to automatic delivery, exceptions are held for review, and blocked evidence is not delivered.
No subscription or account is created by requesting a demo. Scope, timing, price and responsibilities are agreed before the approved V1 workflow begins.
Requesting a demo does not approve a protocol or start an AI call.