Sourced claims · Digital-twin A/B tests

Marketing collateral that has already won.

We research your market the way a scientist reads papers, write a field of variants grounded in real evidence, and A/B test them in rounds on digital twins of your audience, built from real audience data. You get the winners, and the winners are what you pay for.

  • Every claim sourced
  • Tested on data-grounded twins
  • Pay per winner
Simulating Round 1/3 0 twins
  1. A Steeped for 18 hours, so your morning doesn't have to be. —
  2. B Smoother than your 9 a.m. stand-up. —
  3. C No sugar. No syrup. Just beans, cold water and 18 hours. —
  4. D The coffee that waited all night for you. —
Illustrative run · Instagram launch post for a cold brew brand · twins built from customer reviews and comments

The problem

Most social content ships on a hunch.

01

AI copy is fluent and forgettable

Generic tools write posts that sound fine, read like everyone else's, and now and then state facts nobody can source.

02

Live A/B tests are slow and costly

Each test needs budget and days of traffic, so most teams compare two versions, if they test at all.

03

The meeting picks the post

Without evidence, the choice goes to whoever argues best in review, not to the version your audience would choose.

How it works

From brief to winner in four steps.

Two engines do the work: one finds what's true, the other finds what lands.

  1. 01

    Research

    A research agent reads your brand material, reviews and comments, competitor posts and published research, and turns them into ranked, cited evidence.

    → Evidence brief
  2. 02

    Write

    We write a wide field of variants with different hooks, angles and formats. Every factual claim is tied to a source. Claims without one are cut.

    → A field of sourced variants
  3. 03

    Test

    Thousands of digital twins, each built from real audience data, meet the variants in a simulated feed. They scroll past, like, reply, share and argue.

    → Reactions and objections
  4. 04

    Select

    Variants compete in rounds. Losers are cut, survivors are rewritten from what the twins said, and each round faces a fresh panel.

    → Winners and a full report

Engine 1 · Evidence

Researched like a paper, not autocompleted.

Before a word of copy is written, a research agent works through your material and the published record the way a careful researcher would. It searches widely, reads closely, weighs every source and keeps only what it can cite. The copy is written from that evidence, not from a model's memory.

  • Searches your material and published sources, then ranks the passages that matter for each claim
  • Summarises and re-scores every passage against the claim it has to support
  • Flags claims that sources contradict, before your audience finds them
  • Ships every claim with a link to the passage behind it
Evidence checkVariant C · draft 1
  • Supported
    Steeped for 18 hours

    Brand brief · product spec, brewing process

  • Supported
    No added sugar

    Brand brief · nutrition panel

  • Contested
    Less acidic, so it's easier on your stomach

    Cold and hot brew had comparable pH (4.85–5.13) in a 2018 study; hot brew had more titratable acid. None of the sources in this brief test the stomach claim.

    Rao & Fuller, Scientific Reports, 2018 ↗

    Rewritten as Smooth, never bitter, the words customers use in their reviews.

  • Cut
    Twice the caffeine of regular coffee

    No source found

Example: an evidence check on one draft for the cold brew launch

Engine 2 · Digital twins

Twins of your audience react before you post.

The readers in every test aren't invented. Each one is a digital twin built from real audience data that we curate, and it carries the views, language and habits found in that data. Twins meet your post in a simulated feed, where they scroll past, like, reply, share and argue with each other, so you see how a post travels, not just how it scores.

  • Built from data we curate from real audiences: customer reviews, social comments, customer interviews and segment data
  • Checked against reality: when you share results from past posts, we test the twins against them before trusting them
  • A fresh panel of twins every round, so no variant wins by flattering one group
  • We read the spread, not just the average, and check that twins disagree as much as real people do
Simulated feedRound 2 · Variant C
Your brandInstagram · launch post

No sugar. No syrup. Just beans, cold water and 18 hours.

34.8% engaged 9.1% shared 12.6% replied

Aditi K. · 27 · runs before work

No syrup is exactly why I switched. Where can I buy this?

Wants to buy

Marcus R. · 41 · wary of new brands

Every cold brew says no sugar now. What's actually different about yours?

Objection

Jun L. · 33 · café regular

Same question. Where are the beans from?

Piles on

Carried into round 3: “What's different?” came up across the skeptical segment, so the next rewrite names where the beans come from.

Example: digital twins reacting to one variant. Names and numbers are illustrative.

The tournament

A/B testing, run as a tournament.

One A/B test tells you which of two drafts is better. Several rounds of them, with rewrites in between, find the best of many. Each round, the weakest variants are cut, the survivors are rewritten from what the twins said, and a fresh panel of twins judges the next round.

Round 1

16 variants · 2,000 twins

01020304 05060708 09101112 13141516

8 advance

Round 2

8 rewrites · 2,000 fresh twins

02030507 09111214

4 advance

Round 3

4 rewrites · 2,000 fresh twins

03071114

2 winners

Winners

Ready to post, with evidence and report

V07 · after 3 rewritesNo sugar. No syrup. Just Chikmagalur beans, cold water and 18 hours.

V14 · after 3 rewritesSteeped for 18 hours, so your 7 a.m. doesn't have to be.

Example tournament for the cold brew launch. Real tournaments are sized to the brief.

What you get

Winners, with the receipts.

Winning collateral

Ready-to-post copy for the channels you choose, in your brand's voice.

Evidence trail

Every factual claim linked to the passage it came from. Easy to check, easy to defend.

Audience report

Who each winner lands with, who it loses, and the objections readers raised, in their own words.

Round-by-round scores

How every variant did in every round, and why the losers lost.

Pricing

You pay for winners.

Research, drafts and test rounds are how we find them. What you buy is the collateral that comes out on top.

Pricing model

Per winning collateral

  • Research and evidence briefIncluded
  • Every variant and test roundIncluded
  • Evidence trail and audience reportIncluded
Request early access

Pilot pricing on request.

FAQ

Fair questions.

Is a digital-twin A/B test as good as a live one?

It's closer than a test on made-up personas, because every twin is built from real audience data. It still doesn't replace a live test. Twins are best at fast, directional calls: which hook lands, which claim draws pushback, which version a segment scrolls past. They are less reliable for exact numbers, such as how many people will click. We use them to get from many drafts to a few strong ones quickly. Before you put serious budget behind a winner, a small live test is still worth running.

Where does the evidence come from?

From the material you share, such as brand guidelines, product specs, customer reviews, comments and past posts, and from published sources such as research papers, industry reports and competitor content. Every factual claim in a winning collateral links back to the passage it came from. If a claim can't be sourced, it doesn't ship.

How are the digital twins built?

From real audience data that we curate: customer reviews, social comments, customer interviews and the segment data you share. Each twin is grounded in that data rather than invented from a one-line demographic label, so it carries the views, language and habits found in the data. Twins react to each other as well as to your post. Every round uses a fresh panel, we check that twins disagree as much as real people do, and when you share results from past posts, we test the twins against them first.

What kinds of collateral can you test?

Anything that lives in a social feed: post copy, captions, hooks, carousel text and ad copy. Tell us your channels when you request access.

Early access

Stop guessing which post will work.

We're opening early access to a small group of brands and agencies. Tell us about your brand and what you're launching next, and we'll be in touch.