Map the decision
Define the audience, asset or idea, desired action, alternatives, and constraints.
Simulated audience pre-mortems
Know where it will fail before the market tells you.
Momus is a failure forecast for marketing and business decisions. Give us a funnel, offer, campaign, product idea, or plan; we simulate the audience you care about, then show where the effort is likely to fail, what people understand, what they doubt, what they compare against, and what to change before you spend more time or money.
Audience
Likely friction
Action
Urgent prospect
Missing proof
Add case evidence
Careful comparer
Weak differentiation
Clarify contrast
Budget-sensitive
Price anxiety
Reframe value
50 simulated audience sessions, coded into test priorities
What Momus does
Run a simulated audience pre-mortem before launch, spend, or strategy gets expensive.
Before a decision gets expensive, Momus Studio runs controlled audience simulations around the thing you want to test, then turns likely objections, trust gaps, comparison dynamics, and unclear claims into practical next steps.
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 client pitch
Show sharper risks, audience objections, and test priorities than a generic audit.
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.
Before a strategy bet
Turn fuzzy concerns into a ranked list of assumptions to fix, test, or watch.
Trace to recommendation
See how a buyer trace becomes a test.
“I understand the offer, but I need proof this is more than a generic AI page review.”
weak_proof and weak_differentiation
Add a sample report, raw trace excerpt, and comparison against CRO audits and user testing.
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.
Competitor comparison
How buyers interpret the client offer against nearby alternatives.
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.
Evidence appendix
Selected synthetic traces labeled clearly as scenario research.
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 are scoped for fast delivery: 25 to 50 simulated audience sessions, a concise report, and a ranked action list.
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