Stripe's specific proof — Hertz, URBN, £540 million — never reaches buyers who leave before scrolling past the generic claims that lead.
AI writes the first draft in 30 seconds. Nobody checks it in the next 30.
Content volume is infinite now. Quality gates aren’t. Lytms is the evaluation layer between generation and publish — scoring every draft against a senior-writer bar, quoting the vague sentences verbatim, providing the rewrite. So your one senior editor can review the eight pieces that scored below threshold, not all forty.
One sentence. The thing your buyer is reading.
Every Lytms scan synthesizes one verdict — the highest-leverage sentence the product makes about your page. Here’s the verdict from a recent scan of Stripe. Yours arrives in about 2 minutes.
The reality of AI-assisted volume.
The generation bottleneck is gone. The new bottleneck is evaluation. Without a calibrated read, the pieces that would have been caught by a senior editor in the old workflow ship unchecked.
You ship 10x the content. The average quality drops every quarter.
The AI generates a landing page draft in 30 seconds. Structure is right. Headline is grammatically correct. But is the value prop specific enough? Does the CTA earn a click? Is the social proof real proof or anonymous filler?
Nobody checks because checking takes longer than generating. You’re publishing more content than ever, and the average is dropping — quietly, week over week.
A calibrated read on every draft, before it ships.
Paste the content. Get the number, the vague sentences quoted verbatim, and the rewrites that fix them. The audit reads the piece against the same bar your senior editor would — if your senior editor had time.
You set a threshold. Below 6.5 goes back to the writer with the specific lines flagged. Above 7.5 ships. The quality gate takes about 2 minutes — and it catches the pieces that would have embarrassed you at publication.
What content teams actually use Lytms for.
Score every draft before it hits the publish button.
The writer generates the first draft however they already do — ChatGPT, Claude, internal tools. Lytms doesn’t care which one wrote it. It cares whether the writing earns the publish button.
Below 6.5, the audit quotes the vague sentences and provides specific rewrites. The bottleneck moves from generation to judgment, not from generation to silence.
Scale 10x without scaling your senior editor 10x.
Your senior editor can’t read 40 pieces a week. They can review the 8 that scored below threshold. Lytms handles the rubric. Your editor handles the judgment calls AI shouldn’t make.
Volume scales. Quality doesn’t degrade. Your senior reviewer stays a senior reviewer instead of becoming a rubric checker.
Make “good enough to ship” a shared number, not a shared vibe.
The new writer doesn’t know your editorial standard. The freelancer interprets it loosely. Your senior reviewer enforces it inconsistently because it lives in their head.
Lytms makes the standard a number on the screen. New writers learn the rubric by using it. Freelancers can self-check before submitting. The standard stops drifting.
What your content team stops doing. What it starts doing.
Stop doing
- Publishing content nobody read after the AI generated it
- Letting average quality drop one increment per quarter because nobody’s watching
- Sending your senior editor 40 pieces a week to read in full
- Onboarding new writers with a 50-page brand standards doc nobody updates
- Arguing about taste in editorial Slack threads
- Discovering a published piece reads like unedited AI output after a customer complains
Start doing
- Setting a calibrated quality threshold every piece must pass
- Sending the editor the 8 pieces that need judgment, not the 40 that don’t
- Onboarding writers against a number, not a doc
- Letting freelancers self-check before they submit
- Catching the “it sounds like AI” pieces before publication
- Treating editorial quality as a measurable, defendable bar
Start with the free scan.
One URL. About 2 minutes. The truth your team has been guessing at.