REJECT
PASS THE MACHINE

Your offer is being judged by a machine before any human reads it.

Enterprise buyers now deploy AI agents to pre-screen, score, and rank incoming proposals. Verdikt shows you your score before you send · then rewrites your offer to pass.

Score any public page · 30 seconds · no signup · no fabrication

Get my Verdikt

Paste your offer · 30 seconds · no signup · no card

Verdikt Scan · verdict_ia · v1.0Verdikt Scan · v1.0 sample_offer_q3_enterprise.pdf
Illustrative example · sample verdict, not a real score
Global score
19
/100
REJECT · Blocked
REJECT
"Differentiators are asserted, not proven. No quantified outcome. Price anchor absent. Risk mitigation section missing. A procurement agent assigns this to the bottom quartile without an exception flag."
UNPROVEN_CLAIMS NO_ROI_ANCHOR BLURRY_SCOPE NO_URGENCY PROSE_WALL ZERO_RISK_MITIGATION
Try it now · Free

Paste your proposal.
Get the Verdikt.

No account. No credit card. Just paste any B2B proposal and see what a scoring agent actually thinks of it.

Server-side scrape · hero, pricing, features, value proposition.
PDF · DOCX · PPTX · XLSX · TXT
Required to unlock the full free audit. Your verdict is emailed to you, with its permanent link.

Your content is never used for training. Email is required before the full free audit unlocks.

The reality

Most weak proposals fail
because proof is missing.

This is not a persuasion problem. It is a filtering problem. The stored audit data shows the same gaps again and again.

132
real offers and landing pages already scored in the Verdikt audit store.
Every record has a score_global value, so Verdikt can track recurring failures instead of relying on anecdotes.
49.4/100
average baseline score across those stored audits.
The average offer is not hopeless. It is underspecified: unclear scope, weak proof, vague risk reduction, or poor comparability.
17/100
lowest score currently present in the stored audit set.
When key buying signals are absent, a proposal becomes difficult to extract, compare, and defend inside a machine-screened shortlist.
The shift that changes everything

You're still writing
for buyers who no longer read first.

The buying process has a new first step. Most revenue orgs don't know it yet.

Before · selling blind
✕
You spend 3 days polishing a proposal formatted for a buyer's eye
✕
Your "unique differentiators" sound convincing · to you
✕
You get a polite no. No reason given. You can't fix what you can't see.
✕
You revise the pitch deck. You tweak the pricing. You're guessing.
✕
The machine already filed you at the bottom. It never reached review.
With Verdikt
→
You see the machine's verdict before you send
→
Every claim is evaluated: proven, fragile, or cut
→
You know exactly which gaps to fix · not a vague hunch
→
Forge rewrites your offer in the language machines rank and buyers trust
→
Your offer reaches the shortlist. The filter passes. The deal stays alive.
Why it matters now

Four uncomfortable truths
about how deals actually get lost.

01
You're losing deals before review.
The prospect never pushed back. They just went quiet. No objection to overcome, no second chance to pitch. The filter decision happened in milliseconds · before your deck was opened.

You can't win a fight you don't know you're in.
02
You don't control what the AI sees.
The same proposal that sounds brilliant in a live pitch reads as generic and unproven to a scoring agent. Passive voice, vague outcomes, unanchored pricing · things buyers may forgive, machines flag.

Your best language is your worst enemy in machine-readable formats.
03
Your competitors
already know their score.
The moment AI procurement screening becomes table stakes, every GTM motion without a scoring tool is flying blind. The ones using Verdikt are engineering their shortlist position · not hoping for it.

This is a window. It will close.
04
The RFP process is
already automated.
Procurement platforms are deploying AI agents now · not in two years. Coupa, SAP Ariba, and their successors are embedding scoring layers that your existing sales tooling was never built to address.

The window to adapt is smaller than you think.
The process

Filter. Forge. Fix. Win.

Four steps. Thirty seconds to your first verdict. Minutes to a machine-ready offer.

STEP 01
Filter
Paste or upload your proposal. Verdikt runs it through Verdikt Scan · the same scoring logic procurement AI uses · and returns a raw verdict in 30 seconds.
Free · No signup
STEP 02
Diagnose
Every flaw is labelled: unproven claim, missing ROI anchor, blurry scope, prose wall. You know exactly what the machine flagged and why.
Included in Filter
STEP 03
Forge
One click. Verdikt rewrites your offer · a buyer-facing version that closes and a machine-structured version built to pass scoring layers. No fabrication, ever.
Paid · Forge plan
STEP 04
Win
Send with confidence. Your offer is extractable, comparable, shortlist-ready. The filter passes. The deal stays live.
The outcome
Proof from real Verdikt runs

Credibility, counted
without inflation.

Real usage signals from Verdikt scans, public verdict examples, and completed rewrites. The totals stay limited to metrics Verdikt can support.

Stored audits
132
Offers and landing pages analyzed by Verdikt.
Average baseline score
49.4/100
Mean score across the same stored audit set.
Public verdicts
28
Public examples in the Verdikt Verdicts gallery.
Completed rewrites
+21.2 pts
Average projected lift after OFFERFORGE rewrites.
Veilio
Security data tokenization offer
54 → 74
Before

"Make stolen data unusable." The offer had real substance and visible on-prem pricing, but lacked security proof, SLA, architecture detail, and a live customer case.

Main fixes
  • Turn the promise into a threat-model explanation.
  • Add a security proof pack, SLA table, and implementation scope.
  • Separate SaaS, on-prem, DPO, CTO, and engineering buying signals.
After rewrite

"Tokenize PII before the application database: if SQL is dumped, attackers get tokens, not emails, phone numbers, or addresses."

Delta shown: +20 pts copy-only
VitroBOT
Autonomous facade inspection offer
49 → 68
Before

"Know the real condition of your facade." Verdikt found strong operational claims, but no exact VitroBOT price, no independent field proof, and no guarantee around scan coverage.

Main fixes
  • Replace vague cost language with a fixed price or quote model.
  • Define the report contents: defect map, thermal anomalies, priorities.
  • Add field proof, insurance, weather limits, and coverage guarantee.
After rewrite

"Inspect a 50 m tower in 1 day, with no rope-access team on the facade, and receive a defect report plus health score for capex decisions."

Delta shown: +19 pts copy-only
5

completed OFFERFORGE rewrites in the current metric set.


+21.2 pts

average projected lift from those completed rewrites.

For VP Sales & RevOps
Make every AE's proposal machine-ready, before it ships.
Verdikt runs as a pre-send layer across your proposal pipeline. Score history per rep, aggregate gap analysis, Forge throughput · all reportable. Know which proposals get buried, and fix them before the deal is gone.
Get my Verdikt →
Pricing

One filter. One forge.
One shortlist.

Start here
Free scan
Free
Your score in 30 seconds. 2-3 free insights included. No account, no card.
Global score out of 100
2-3 flagged issues, labelled and explained
Instant verdict · No signup
Unlimited free runs
Run my free scan
Questions

Answered
without hedging.

Every answer below is what the product does today, not what it plans to do.

Still unanswered? Write to bonjour@getverdikt.co. An operator reads it, and the question ends up on this page if it is a good one.
The scan
What exactly am I supposed to paste in?

Any B2B offer a buyer would read: a proposal, a landing page, a pricing page, a one-pager, a scope of work. Three ways in: paste the text, give a URL that Verdikt reads from the server, or upload a file. Formats: PDF, DOCX, PPTX, XLSX, TXT, MD, up to 8 MB.

Anything shorter than a real paragraph is refused. There is nothing in two lines for a buying AI to score.

How long does it take, and is the scan really free?

About 30 seconds. The pipeline runs in the open: 9 named steps advance on screen with the elapsed clock. The wait is real inference, not a loading animation.

The scan is free and you can run it as often as you like. No account, no card, no trial that expires.

Why do you ask for my email before the verdict?

It is the only identity Verdikt collects. It is how the full free audit reaches you and how your report is recovered after payment. One field, no password, no verification click, no consent wall.

What do I get for free, and what stays behind the 35€?

Free: the score out of 100, the decision (SHORTLIST, NEEDS REWORK or REJECT), and the probability of passing an AI filter. Plus your failure modes named and 2 to 3 flags explained.

Paid: everything else. Every flaw with its blocking criterion, each fix quantified in points, and the offer rewritten.

The score
How is the score actually built?

Three weighted layers, 19 scored items in total. Selling angles 20%, offer criteria 45%, agent survival 35%.

Nothing is hidden behind an index. The scan replays every deduction on screen, item by item, in points, down from 100 to your number.

What does the number mean, and what does it not mean?

It is the score a buying AI would put on the document it can read. It is not a judgement of your company, your team, your product, or whether your price is fair.

Verdikt grades the document. A strong business with an unreadable proposal scores badly, and that is the point.

My score came back brutal. Is it broken?

Probably not. Most low scores come from the same three absences: no quantified outcome, no proof a machine can extract, no comparable structure. Those are all in your text, or missing from it.

Read the failure modes before you argue with the number. Each one names the exact deduction it caused.

Can I reach 100/100?

No, and no rewrite will get you there. Copy alone caps out around 75/100. That ceiling is stated in your report rather than hidden.

The remaining points require evidence only you hold: named clients, measured outcomes, dated results, a real reference. Verdikt lists what to supply and stops there.

OFFERFORGE
What is inside the 35€ report?

The full audit with all sub-scores, every flaw with the criterion it blocks, and each fix quantified in points. Then your offer rewritten twice: one version a buyer reads, one a machine parses. Plus the projected score delta.

One price, 35€ per report, one payment. No plan, no subscription, no annual toggle.

Will it invent proof or claims for me?

Never. Verdikt restructures the facts you supplied and marks precisely where a fact is absent, listed as proof to supply.

A fabricated claim would fail the same filter on the buyer side, and it would make the score a lie. That is the one thing the product will not do.

How do I pay, and how is the report delivered?

Through a hosted checkout page, 35€ per report. The app never asks for a card and never sees one.

The report is generated straight after payment and sent to the email you scanned with. If it does not arrive, reply to any Verdikt email and an operator delivers it by hand.

What if the report is not worth it?

Reply to the report email and you are refunded. No argument, no retention offer, no survey, and you keep the report.

The reason is recorded against the failure modes so the pipeline gets fixed. That is the whole procedure.

Data, and the rest
What happens to the offer I paste in?

It is stored with its verdict at its own address, getverdikt.co/scan/<id>, so you can reopen it later. An operator can also rerun it if a step fails.

Be aware that this verdict page is public and can be found by a search engine. Paste an offer you are willing to have read, or ask us and the record is deleted.

Are the public verdicts real scans?

Yes. The verdicts gallery holds scored public pages of known brands, read from their own public URLs. Each one shows the score, the failure modes and the sub-scores behind it.

They exist so you can read a full verdict before trusting one on your own offer.

Does this replace my copywriter or my sales team?

No. Verdikt scores and restructures a document against a machine filter. It does not qualify a market, write a strategy, or run a deal.

What it does is stop you sending a proposal that gets filtered out before a human reads it.

Who is this not for?

If you sell under 1000€ with a checkout and no proposal, the score will tell you little. Verdikt is built for offers a buyer evaluates against others: consulting, agencies, B2B software, services from about 3000€ up.

Get my Verdikt → Free scan · 30 seconds · No account
Your next proposal
is being scored
right now.

The only question is whether you know your score before you send · or after you lose.

Get my Verdikt → Rewrite with OFFERFORGE