The last piece of software between AI slop and your buyer.

Simulate how your buyers would react before you send.Fix weak messages before real prospects see them.

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Quality check

Simulated buyer reaction

Simulated example · one modelled buyer's reaction, not a prediction of replies.Fictional outreach · illustrative product reconstruction

Choose what you're testing

Say your idea, or paste a message to check...
Single Message
Cold Email Sequence
LinkedIn DM
LinkedIn DM Sequence
LinkedIn Post
Social Post
Article / Blog Post
Outreach uses Buyer SimulationPosts and articles use Quality Check
PlaygroundPost-raise revenue opsCold Email Sequence

Post-raise revenue ops sequence

3 steps · live check on

Subject: Quick question about revenue ops

Hi Maya, saw your Series B announcement last week. Congrats. Fast-growing sales teams often add reps before messaging catches up.

VP Sales · Post-Raise ScalingReading the full 3-step sequence

Modelled buyer read

“They actually looked us up. Fine. Two more seconds.”

Quality CheckSimulationChat
VP Sales · Post-Raise ScalingFull 3-step sequence
Disengages

The first touch earns a skim, but each follow-up reduces relevance and increases pressure.

Reaction across stepsDrop-off at Step 3
Step 1 · Day 0Step 2 · +3 daysStep 3 · +7 days
Step 2Simulated reaction
Follow-up adds pressureThe second touch repeats the ask without adding a new reason to care.High
Step 3Simulated reaction
Sequence loses momentumBy the third touch, repetition outweighs the original relevance.Critical

The product accepts single messages, email sequences, LinkedIn messages, LinkedIn posts, social posts, and articles. Outreach formats can be tested against one modelled ICP Persona. Broader posts and articles receive a format-aware Quality Check. In this fictional example, a three-step cold email sequence is tested against one modelled VP Sales Persona. The simulated reaction disengages by the third touch because the follow-up adds pressure and the sequence loses momentum. This is not a real buyer response or a prediction of replies.

Business Knowledge Base

Build the context behind every buyer conversation.

Unpitch structures your positioning, target segments, proof, alternatives, Founder Voice and offer logic. The same context powers tailored Personas, offers, messages and checks.

Every fact stays sourced and editable. Seller context remains separate from the simulated buyer Persona.

Knowledge Base
Website scan complete
ProductPricingAboutselected sources
PositioningWhat makes the offer different
ICP segmentsWho gets the most value and whyReview
Proof libraryClaims the team can support
Founder VoiceHow the founder sounds without generic AI copy
Offer and valueWhat the buyer receives and believes
Objections and alternativesWhat buyers question or use instead

Built to stay useful

Freshness stays visible
Your team confirms or corrects
Sources stay with the fact

Framework stack

April Dunford · positioning

JTBD + Forces of Progress · customer progress

Value Proposition Design · offer fit

Geoffrey Moore · beachhead and category context

Andy Raskin · strategic narrative output

Researched Personas

Model a buyer segment from evidence.

A Researched Persona models one buyer segment in a specific situation. Unpitch builds it from segment pressures, tools, alternatives, switching forces and attention patterns.

Each conclusion keeps its source, recency and confidence.

Researching a buyer segmentComing with Pro
Seat and segmentResponsibilities, success criteria, recurring pressure
Observable changeFunding, hiring, launches and role changes
Operational environmentWorkflows, tools, handoffs and the installed status quo
Alternative experienceWhat existing tools solve and where recurring friction remains
Switching forcesPush, pull, anxiety and the cost of changing
Attention environmentVendor fatigue, familiar pitches and proof needed
ResearchedVP Sales · Post-Raise Scaling

Revenue leaders at post-raise B2B SaaS scale-ups, hiring hard while operations lag.

Evidence receipt

Recent growth round

sector funding data

Sales hiring pressure

hiring trends

Outbound tooling debate

peer discussions

Humanoid benchmarkCurrent frozen run

Human reactions are the benchmark.

Humanoid is a Turing-inspired test set built from outreach messages and reactions written by human readers. Every system receives the same case. Outputs are scored against the human answer key.

Ground truth

Would reply, overall feel, feels human, and a short first-person reaction.

Same input

Baselines receive the message and prior context only. No Persona, principles, or Knowledge Base.

Score

50% categorical agreement and 50% overlap in substantive observations.

Result

Human-reaction alignment

score = 100 × (1 − mean composite distance R)

Human = 100
1007550250
75%
54%
52%
unpitch
0.3 beta
Opus 4.8
GPT-5.5
Higher is closer to the human answer key. Frontier models are raw baselines on the same frozen cases.

Comparison control

Same cases, fixed model versions, raw reactions preserved, and cross-family schema mapping.

Scope

Outreach reaction similarity only. Not reply-rate prediction or general model capability.

Benchmark repositoryPublishing soonSource, cases, run manifest, standard error
Claude Code MCPIn development

A sandbox before every automated send.

Unpitch becomes a gate inside your Claude Code workflow. Each draft enters the Unpitch sandbox, runs against the target Persona, and returns a pass or line-specific findings. Only a passed message continues to the sending step.

Failed checks return the draft to the automation for revision. The sandbox uses the same Knowledge Base, Personas, plan limits and credit balance as the web app. Authorization is workspace-scoped. No API key to copy.

Claude CodeMCP connection
Not available yet
Automated send pipeline

›Draft ready in Claude Code

route → unpitch://sandbox

Target Persona · VP Sales · Post-Raise Scaling

Sandbox blocked · 1 issueBody · line 4

“Best-in-class platform” reads as inflated next to the specific customer proof.

Revision returned to automationSend remains locked
1Draft ready
2Unpitch sandbox
3Pass or revise
4Send if passed

The workflow difference

“AI slop is cheap to generate. Your buyer’s attention is not. Test the message before you spend it.”

Three ways into the same decision

When the message carries your name, your team or your client.

Founders protect a scarce first impression. Sales leaders protect the playbook. Agencies protect the client relationship before a campaign launches.

For founders

Protect a first impression you cannot get back.

Turn an idea into a message, choose the buyer perspective, then revise it before outreach starts.

  1. 1Idea
  2. 2Target Persona
  3. 3Buyer reaction
  4. 4Revise before outreach

For sales leaders

Catch the weak touch before a team repeats it.

Run the rep draft or full sequence, find where attention changes, then return evidence for revision.

  1. 1Rep draft
  2. 2Sequence simulation
  3. 3First weak touch
  4. 4Evidence for revision

For agencies

Make the first test a simulation, not a client lead.

Keep every client context separate, test the full playbook, then bring evidence into the approval conversation.

Explore Unpitch for agencies
  1. 1Client workspace
  2. 2Target Personas
  3. 3Campaign gate
  4. 4Approval evidence

The same buyer-simulation system adapts to an individual decision, a team playbook or a portfolio of client campaigns.

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Planned pricing

Start individual. Scale when the workflow earns it.

Individual pricing starts at Free. Pro and Business plans are shown as coming soon, not as available purchase paths.

See pricing

Free

$0/month

One meaningful test

Lite

$12/month

Recurring Quality Checks

Plus

Most popular
$29/month

Complete individual workflow

Pro

Coming soon
$99/month

Strategy Lab Decision Study

Public sign-up and paid checkout are not open yet. Approved and invited emails can create an account. Viewing a price does not reserve it.

FAQ

How Unpitch works.

Personas, business context, benchmark scope and access boundaries in plain language.

Early access

Request early access to Unpitch.

Request early access. Joining the list does not create an account, guarantee admission, or reserve pricing.

Joining the list does not create an account, guarantee admission, or reserve pricing.