“I understand the offer, but I need proof this is more than a generic AI page review.”
Simulated audience pre-mortems
Find the weak point before you spend.
Momus tests one funnel, offer, campaign, product idea, or plan against controlled synthetic buyer scenarios—then ranks what to fix first.
One focused audit
- 25–50simulated audience sessions
- Oneconcise decision report
- Rankedfixes and test ideas
Starter beta · 3–5 business days
$750
From reaction to action
See the evidence. Make the next move.
Proof and differentiation are blocking trust.
Lead with a sample deliverable, raw trace excerpt, and clear category comparison.
What synthetic audience means
Structured scenario research, not one generic AI opinion.
Momus runs the same decision through multiple defined buyer postures, then codes recurring objections, trust gaps, comparisons, and unclear claims. It is fast directional evidence for deciding what to test next—not a replacement for analytics or real-user validation.
Map the decision
Define the audience, asset or idea, desired action, alternatives, and constraints.
Run the audience
Simulate urgent, skeptical, careful, budget-sensitive, and overwhelmed audience postures.
Code friction
Tag objections, proof gaps, message mismatch, unclear claims, and alternative pull.
Prioritize changes
Deliver the fixes, tests, and questions most likely to improve the decision.
When to use it
Use Momus before the expensive part starts.
Before paid traffic
Find the proof gaps, message mismatch, and offer doubts likely to waste spend.
Before a launch
Pressure-test the promise, audience, CTA, and alternatives before the page goes live.
Before a rebuild
Learn what the current asset fails to explain before rewriting the whole thing.
Before an offer test
See how buyers compare price, urgency, proof, and perceived value.
New self-audit
Momus audited its own funnel before launching ads.
The self-audit surfaced the exact objections cold traffic would likely raise: proof, differentiation, and pricing confidence. We turned those traces into site changes before scaling spend.
Read the self-auditWhat you get
A concise research report built for action.
Conversion blockers
The top reasons synthetic buyers hesitate, leave, or choose a competitor.
Trust and proof gaps
Where the page needs sharper evidence, clearer claims, or better reassurance.
Copy recommendations
Headline, CTA, proof, and offer changes tied to observed friction.
Test backlog
A ranked list of experiments and fixes with impact and effort notes.
Best fit
For marketers with a real funnel and a decision to make.
- Agencies improving client landing pages
- Local service businesses with valuable leads
- Niche ecommerce brands testing offer and positioning
- Operators preparing a paid campaign or site refresh
Why not just ask ChatGPT?
Because one generic opinion is not a market read.
Generic AI review
One pass, often broad, usually not tied to cohorts, competitors, or coded findings.
CRO audit
Useful expert opinion, but often slower and less structured around buyer psychology.
User testing
Real people, but recruiting takes time and can be expensive before a launch.
Synthetic Buyer Lab
Fast scenario research across buyer postures, objections, trust gaps, and alternatives.
Beta audits
Start with one decision, one audience, and a few alternatives.
The first beta audits include 25 to 50 simulated audience sessions, a concise report, and a ranked action list delivered 3 to 5 business days after payment and intake.
Strong fit: the decision matters enough that one better lead, customer, investor, partner, or strategic choice is worth more than the audit.
Start a $750 beta audit