The 30-Second Test That Exposes AI-Written Copy
There is a simple test that takes 30 seconds and immediately reveals whether a piece of content sounds like a human or a system. Most deep tech founders have never tried it on their own website copy. This article explains the test and what to do when it fails.
Reviewing for Accuracy Leaves the Voice Problem Unsolved
Most deep tech founders aren't copywriters. They know their science and their commercial narrative. When they use AI to draft content, they review it for accuracy: are the facts right, are the claims defensible, does the structure follow the argument? Voice isn't part of the review. So technically accurate, commercially misaligned copy ends up on websites, in decks, and in investor-facing communications.
The gap between how a founder speaks about their company in a meeting and how their website describes it is often significant. In a meeting, the language is sharp, specific, and direct. On the website, it's often formal, smooth, and vague. The same founder. Different registers. The website version usually loses.
Thirty Seconds. That's the Whole Test.
Read it out loud before it goes live. That's the whole test. It takes thirty seconds and it catches what three rounds of proofreading won't.
The content that passes this test is the content that builds brand trust over time. Not because it's perfectly written, but because it sounds like a person. In a space where most brands are producing content that sounds like a system, sounding like a person is a significant commercial advantage.
The Read-Aloud Test
The read-aloud test is one the Hustle Fund team referenced at Camp Hustle this year as the simplest quality filter available for content. Take the copy. Read it out loud. If it sounds like a human being speaking naturally in a professional context, it passes. If it sounds like a compliance document or a formal report, it fails.
Most people have never done this with their own website copy. The failure modes become immediately obvious when you do. Sentences that are grammatically correct but nobody would ever say. Transitions that belong in an academic paper. Words that are technically precise but carry no energy in spoken form.
The test works for AI-drafted content, agency-written content, and content written by founders who write differently from how they speak, which is most people. It's format-agnostic. Apply it to blog posts, homepage copy, deck narrative, investor update emails, LinkedIn posts. If you wouldn't say it in a meeting, it probably shouldn't be on the page.
A simpler version of the same test: would you say this sentence to someone sitting across from you? Not in a lecture. In a normal professional conversation where you're trying to explain something clearly. If the answer is no, rewrite it until the answer is yes.
Copy that passes the read-aloud test is copy that builds commercial trust over time. If your website, deck, or investor communications are failing that test, Marshall Studio works with technical founders on the language layer as well as the visual one.
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