9 Reasons Your Cold Emails Sound Like AI

The nine tells that mark a cold email as AI-written — the openers, em-dashes, throat-clearing structure — and the before/after fixes that read human.

SS
SimpleSend Labs
Field notes from the research team
READ9 minWORDS1,520UPDATEDMay 24

Cold emails sound like AI for nine specific reasons, and a reader clocks most of them in about two seconds. The good news is that every one of them is fixable. Below is each tell with a before-and-after rewrite, so you can run your own drafts through the list and catch what is quietly sending you to the trash.

This matters more than it used to. Inboxes are now full of grammatically perfect, completely forgettable machine writing, and buyers have trained themselves to delete it on sight. The bar is no longer "is this well written." It is "did a real person who knows something about me write this."

1. The throat-clearing opener

"I hope this email finds you well." "My name is, and I work at." A reader has seen these ten thousand times, and every one of them came from someone selling something. The opener is the most valuable real estate in the email, and a generic greeting wastes it.

BEFOREHi Sarah, I hope this email finds you well. My name is Jordan and I am reaching out from Acme.
AFTERSarah, saw Lumen just opened a second clinic in Austin. Congrats on the expansion.

2. Flawless grammar with no pulse

Machine writing is almost always technically perfect, and that is part of the problem. Real people drop a word, start a sentence with "and," use a fragment for emphasis. Writing that has zero texture reads as zero human. You do not need errors — you need rhythm.

BEFOREI would like to take a moment to introduce our solution, which I believe could provide significant value to your organization.
AFTERQuick one. We do one thing, and I think it lines up with what you are dealing with right now.

3. The compliment that fits anyone

"I love what you are doing at your company" tells the reader you know nothing about their company. A compliment only lands when it could not be pasted into a thousand other emails. If you cannot name the specific thing, do not fake the praise.

BEFOREI am really impressed by the great work your team is doing in the industry.
AFTERYour post on cutting onboarding from 14 days to 3 stuck with me. That is the part most teams never crack.

4. Dashes everywhere

Heavy use of the long dash is one of the loudest machine tells right now. People notice it even when they cannot name it. Swap most of them for a period or a comma and the writing instantly reads more like speech. Read your draft out loud and you will hear where the dashes are doing work a full stop should do.

BEFOREWe help teams scale outreach quickly, efficiently, and at a fraction of the cost, all while maintaining quality, which is something most tools cannot do.
AFTERWe help teams send better outreach faster. Most tools make you pick speed or quality. We did not want to.

5. The tidy list of three

Models love grouping everything into neat triples. "Faster, smarter, and more efficient." Once you see the pattern you cannot unsee it, and neither can your reader. Vary your structure. Use two items, or four, or one strong claim instead of three weak ones.

6. Buzzwords doing the heavy lifting

Leverage, synergy, robust, seamless, cutting-edge, game-changer. These words signal that the writer had nothing concrete to say and reached for filler. Replace every buzzword with the plain thing it is hiding.

BEFOREOur robust platform leverages cutting-edge AI to deliver seamless, game-changing results.
AFTEROur tool writes the first draft of each email for you. Most people save a few hours a week.

7. The ask with no reason

"Do you have 15 minutes to chat next week?" Why? A reader gives time when there is a specific reason to. Tie the ask to the thing you opened with and give them a reason that is about them, not your quota.

BEFOREWould you be open to a quick 15-minute call to discuss how we can help?
AFTERWorth 15 minutes to compare notes on the Austin rollout? I can show you what cut our onboarding time.

8. Length that ignores the reader

Long cold emails get skimmed and abandoned. The ones that get read tend to sit under a hundred words, because the reader can take them in at a glance. If your draft has a paragraph the recipient has to work through, cut it.

9. The same email sent to everyone

This is the root tell that produces all the others. When one message has to fit a whole list, it gets sanded down to something so generic it fits no one. The fix is not a better template. It is a different email for each person, built on something true about them.

The pattern underneath all nine

Look back over the list and the common thread is obvious. Every fix replaces something generic with something specific, and something stiff with something spoken. That is the entire game. The reason most AI outreach fails is not that a machine wrote it. It is that the machine had nothing real to say and no voice to say it in.

Where SimpleSend fits

This is the exact problem SimpleSend was built around. It researches each contact before writing, so the opener references something real rather than a fake compliment. It mirrors your own voice from past emails you paste in, so the drafts sound like you. And every draft runs through a quality pass that strips the throat-clearing openers, the dash overuse, and the other tells on this list before it ever reaches your CSV.

Try it free on one of your own contacts.

Frequently asked questions

How can you tell if an email was written by AI?
The usual giveaways are a generic opener, flawless but lifeless grammar, vague compliments that fit any company, heavy dash use, tidy lists of three, and an ask for time with no real reason attached. Most readers register the overall feel in a couple of seconds without analyzing the parts.
How do you make a cold email not sound like AI?
Open with something specific and recent about the recipient, write the way you actually talk, cut the buzzwords, keep it short, and give a concrete reason for the ask. Real, verifiable detail is the one thing generic machine output cannot fake.
Why do my cold emails get ignored?
Usually because they read like a template with a name dropped in. They reference nothing the reader actually did, they sound machine-produced, and they ask for time without earning it. Specificity and a human voice are what turn an ignored email into a reply.

Further reading on email voice and tone: Lavender. The tells described here reflect patterns widely discussed among cold-email practitioners in 2025 and 2026.

If you'd rather not assemble the research, voice-matching, and QA layers yourself, SimpleSend does all three out of a CSV. Every contact gets fresh research, every draft is written in your voice from samples, and every email goes through the QA pass before it lands in your output file. Trial usage is included on the Free tier, no credit card.
TRY THE FRAMEWORK

Run your next 50 contacts through SimpleSend.

Drop a CSV, paste 1–3 of your past emails, and get a full 7-step sequence drafted row by row. Free tier, no card.

Start free ← Back to the blog
← All posts