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Content science · human voice

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We engineer content to rank and get cited, then take the machine out of it until it reads human again.

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The science

We measure what reads as machine.

Most tools ask one AI to judge another. We do not. Our engine is a deterministic linter that hunts the mechanical habits of machine writing with real pattern matches: the empty vocabulary, the throat-clearing, the flat sentence rhythm. It scores three things: information gain, human voice, readability. It cannot be fooled, because it checks the text instead of guessing at it.

Read the methodology →
Voice linter
Humanization

We take the machine out.

When a draft sounds like a model wrote it, we rewrite it until it does not. The same engine that grades the prose fixes it. It cuts the tells, varies the rhythm, then revises again until the writing passes clean. It reads like a person because the machine habits are gone, not hidden.

See how it works →
Human-voice grade
Information gain

We add what the page was missing.

Covering the topic is table stakes. We measure how much of your draft is genuinely new against the pages already ranking, then go find the data to widen the gap. Live search surfaces the fresh figures and data intersections your competitors never touched. Information gain is the signal that earns citations, so we treat it as the first thing to get right.

Inside the research →
Net-new vs the SERP
Our stance

We don't fool the detector. We remove the machine.

The shortcut everyone else sells is detector evasion: inject typos, hide invisible characters, swap words until a classifier gives up. That corrupts the work and insults the reader. We refuse it. We make writing human by making it good, and passing a detector is a side effect, never the goal.

Two ways

Run it yourself, or hand it over.

The same science sits behind the editor and the lab.

The platform

701am editor

Score and fix your own drafts. Coverage and net-new scoring with a live human-voice grade.

Open the editor
The lab

Done-for-you

Hand us a topic you want to own. Our editors run the method and earn the coverage that makes it rank.

Commission the lab
8.5/10
information gain
A former Google Search Quality Rater said a 701am rebuild read expert-vetted and genuinely additive.
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