Competitor evidence
Landing pages, pricing pages, release notes, analyst notes, social reaction, or public messaging from competing products.
Competitive reaction simulation
Competitive Intelligence AI
Simulate how competitors, buyers, analysts, sales teams, and market narratives may respond to a new move before you commit the strategy.
Built for scenario planning, not certainty. Every output should be reviewed against real evidence before an operating decision.
Scenario tape / illustrative
Competitive response simulation for a positioning change
R1
Target buyersComparison frame forms
R2
CompetitorsCounter-message appears
R3
Sales teamsObjection pattern stabilizes
Dominant risk
Weak contrast
Pressure source
Competitor framing
Evidence gap
Buyer proof
Input
Competitor pages, battlecards, positioning
Engine
Buyer and competitor reaction rounds
Output
Counter-frames and proof gaps
What to bring
Bring competitor evidence before the market writes the comparison.
Competitive intelligence simulation works best when the source includes competitor claims, buyer objections, win-loss notes, pricing context, and your intended positioning.
Your positioning
The claim you want to make, who it is for, where you are different, and what proof you can show.
Buyer and sales context
Deal notes, objection logs, evaluation criteria, switching friction, and moments where competitors win the frame.
Where it earns its keep
See the counter-message before your competitor publishes it.
Competitor strategy is not a static comparison table. It changes when buyers, sales teams, and rival narratives start reacting.
Positioning change01
Test whether the contrast is sharp enough.
Model how buyers interpret the new claim and where competitors can blur the difference.
Battlecard review02
Find the objection that sales will hear first.
Simulate evaluation rounds so teams can prepare evidence, language, and counter-questions.
Competitor launch03
Rehearse the market after a rival move.
Explore how a competitor announcement may reshape buyer urgency, category language, and comparison criteria.
Competitive intelligence needs reaction, not just collection.
MiroFish turns competitor evidence into actors, incentives, and market memory so you can inspect how the comparison may evolve.
Stage 1
Ground the scenario
Upload source material and define the decision, event, or message you want to test.
Stage 2
Build the actor graph
Map the people, groups, incentives, constraints, and memory that shape the reaction.
Stage 3
Run reaction rounds
Let the simulated actors respond over multiple rounds so the second-order path appears.
Stage 4
Question the report
Review the trajectory, risks, weak assumptions, and what evidence would change the conclusion.
What the report should answer
The report should sharpen the competitive response.
- Which competitor frame may become persuasive
- Which buyer segment is most vulnerable to switching language
- Which claim needs stronger proof before launch
- Which sales objection should be prepared first
- Which comparison is likely to distort the market story
Boundary conditions
Not a scraper or magic spy tool.
- Not live competitor monitoring unless current sources are provided
- Not a guarantee of competitor behavior
- Not a replacement for win-loss interviews or sales evidence
- Not useful when positioning and competitors are undefined
Why MiroFish
Competitive intelligence AI should model the market response.
Generic AI can summarize competitor pages. MiroFish simulates how those claims may travel through buyers, sales teams, and category narratives.
Competitor view
Generic AI
Feature and pricing summary
MiroFish
Competitor claims mapped to buyer reaction paths
Sales pressure
Generic AI
Static battlecard copy
MiroFish
Objections and counter-frames across rounds
Strategy risk
Generic AI
General recommendations
MiroFish
Evidence gaps and positioning fragility
FAQ
Competitive intelligence AI, grounded in evidence.
The point is to test competitive pressure before buyers and rivals force the comparison in public.
What is competitive intelligence AI?+
Competitive intelligence AI helps teams analyze competitor evidence and simulate how buyers, sales teams, and competitors may react to a strategic move.
Does MiroFish collect competitor data automatically?+
MiroFish works from the evidence you provide. Upload competitor pages, sales notes, pricing context, battlecards, or public material you want the simulation to use.
Can it create a battlecard?+
It can surface likely objections, counter-frames, and proof gaps that improve battlecards, but the final sales enablement material should be reviewed by your team.
When should I use it?+
Use it before repositioning, answering a competitor launch, changing pricing, entering a new category, or preparing a sales team for a competitive cycle.
Is this different from a competitor summary?+
Yes. A summary describes what competitors say. MiroFish simulates how the market may react to those claims and where the response may create risk.
Related simulation paths
Follow the risk into the next decision.
Most decisions do not stay inside one category. These adjacent use cases help teams test the next market, customer, or public reaction path.
Rival reaction
Competitive Response Simulation
Simulate how competitors may answer a launch, pricing change, positioning move, or market entry.
Open Competitive Response SimulationMarket pressure
Market Simulation AI
Stress-test launches, pricing, competitors, and market entry before the public story forms.
Open Market Simulation AIPricing rollout
Pricing Simulation AI
Rehearse churn narratives, package migration risk, and pricing objections before rollout.
Open Pricing Simulation AICompetitors react
Stress-test the comparison before buyers do it for you.
Bring competitor pages, battlecards, sales notes, or positioning drafts. MiroFish will turn them into a competitive reaction scenario you can inspect.
Start a competitor simulation