Guide

How to stop AI content sounding like AI: 12 specific edits

The exact patterns that make AI-written content read as obviously AI-generated, and the edits that fix them. Practical, Australian, no theory.

In short

AI-generated content has predictable tells: em-dashes everywhere, certain filler words (“full”, “use”, “get into”), specific sentence rhythms, generic openings. 12 specific edits applied during your editing pass kill 90% of the AI-feel. The single fastest fix: remove all em-dashes. The best long-term defence: train your AI on your past good writing so future drafts sound less generic by default.

The 12 edits

Apply each one to any AI-written draft. Most take seconds.

1. Remove em-dashes (–)

The single most reliable AI tell in 2026. Almost no human writes mid-sentence with em-dashes; almost every AI does. Search-and-replace:

  • , , (most cases, comma replacement)
  • word–word (no spaces) → use an en-dash for ranges, or restructure

Eliminates ~30% of the AI-feel in one pass.

2. Strip the LLM filler words

Replace these every time:

AI defaultPlain English
fullFull, complete, thorough
use (verb)Use
get intoLook at, get into
Navigate (the complex)Work through
solidSolid, strong
cleanSmooth, clean
big shiftBig shift, big change
(delete)
basicallyBasically
modernModern, recent
useUse
build (verb)Build, develop

Run a find-and-replace. Five minutes of cleanup.

3. Cut ” that…”

AI loves throat-clearing. Delete every "", “it should be noted”, “it’s worth highlighting”. State the thing directly.

Before: ” that AI doesn’t replace human judgement.”

After: “AI doesn’t replace human judgement.”

4. Break the perfect rhythm

AI defaults to sentences of similar length. Real writing varies. Mix short with long.

Before (AI default): “Australian small businesses face many challenges. AI tools can help with various tasks. Understanding which tools fit which use cases is important.”

After: “Australian small businesses face challenges. AI helps with some. Which tools fit which uses, though, depends on the work you do.”

5. Use specific over generic

Specific numbers, specific places, specific examples. AI defaults to generic.

Before: “Many Australian businesses use AI for various tasks.”

After: “About a third of our 48 client businesses use AI for inventory monitoring; another third use it for customer service; the rest are mixed.”

6. Add an opinion

AI defaults to balanced. Real writing takes a side. Pick a position; defend it.

Before: “There are advantages and disadvantages to both Claude and ChatGPT.”

After: “Claude wins on writing quality. ChatGPT wins on image generation and integrations. Most businesses pay for both. Anyone telling you to pick one is selling something.”

7. Drop the “in conclusion” wrap-up

AI loves to summarise at the end. Most articles don’t need it. Cut the last paragraph if it’s a recap.

If you need a closing, make it a specific call to action, not a summary.

8. Kill the bullet-point overload

AI defaults to bullets for everything. Use prose for narrative, bullets for genuinely list-like content.

If you have a paragraph that’s been bulletised, ask if it’d read better as a single tight paragraph. Often yes.

9. Use contractions

AI tends formal. Real writing uses “don’t”, “won’t”, “can’t” naturally. Force contractions where you’d speak them.

Before: “We do not believe AI will replace human writers.”

After: “We don’t think AI replaces human writers.”

10. Cut hedging language

AI hedges. “May”, “might”, “could potentially”, “in some cases”. Real writing commits.

Before: “AI might potentially be useful for some content tasks in certain contexts.”

After: “AI is useful for content. Sometimes. Not always.”

11. Replace the generic opening hook

AI defaults to “In today’s fast-paced digital world…” or similar throat-clearing intros. Open with something specific.

Before: “In the rapidly evolving landscape of artificial intelligence…”

After: “Yesterday I watched Claude rewrite a 200-line script in 90 seconds. It made one mistake. I caught it. We shipped.”

12. Strip the “let me know if you have questions” closer

AI loves closing emails with offers to help further. Real business writing doesn’t always end that way.

Before: “I hope this helps! Let me know if you have any questions or would like me to elaborate on any of the above.”

After: (delete)

Or:

After: “Reply if you want to dig into any of it.”

The single highest-use move: voice training

Once-off, then permanent. The pattern:

  1. Find 10-15 of your past good writing (emails, blog posts, posts that performed)
  2. Paste them into a Custom GPT (ChatGPT) or Claude Project
  3. Add a system instruction: “Write in this voice. Match the rhythm, vocabulary, formality, and humour. Avoid em-dashes, ‘full’, ‘use’, ‘get into’, ‘navigate’, ”.”

Future outputs from that GPT/Project sound 80% like you by default. Saves 30-50% of the editing time vs. starting from a generic ChatGPT/Claude draft.

What this guide isn’t trying to do

  • Hide AI use from readers. If you used AI, that’s fine; disclose if you want. The goal is quality, not deception.
  • Game AI-detection tools. They’re unreliable. Optimise for human readers; the detectors take care of themselves.
  • Make every piece sound informal. Match the voice to the audience. Corporate writing for a B2B audience reads differently from social copy for a Melbourne cafe. The principles apply; the surface varies.

The 30-second editing checklist

After AI generates a draft, in this order:

  • Remove all em-dashes
  • Find-and-replace the filler words list above
  • Cut any "" / “basically” / “in conclusion” wrappers
  • Read aloud, rewrite anything that sounds like a press release
  • Add one specific number, name, or example from your real work
  • Add one opinion that’s clearly yours, not the AI’s default balance
  • Read the first paragraph: does it open with something specific?
  • Read the last paragraph: does it close with action, not summary?

Eight checks. 5-10 minutes. Difference between obvious AI and “wait, did a human write this?”

What’s next

Common questions

Will Google rank AI-detected content lower?
Not in 2026, and not for AI generation per se. Google penalises low-quality, low-value content regardless of source. AI-assisted content that's well-edited, has real first-party insight, and serves the searcher's intent ranks fine.
Does AI-detection software actually work?
Inconsistently. Tools like Originality.ai and GPTZero have meaningful false-positive rates. Human-written content can score 'AI-generated' and vice versa. Don't optimise for detector scores; optimise for human readers.
What's the single highest-use edit?
Cut the em-dashes (–). They're THE most reliable AI tell in 2026. Replace with commas, colons, or periods. Eliminates ~30% of the AI-feel in one search-and-replace.
Should I just disclose 'this was AI-assisted'?
Up to you. There's no legal requirement in Australia (yet). For trust-heavy contexts (consultancy reports, technical advice), disclosure builds credibility. For routine marketing copy, disclosure is rare. Don't write disclosure as performative AI-skepticism; write it as a genuine note about your process.
Can I just use Grammarly or similar to fix it?
Partially. Grammarly catches grammar; it doesn't catch the deeper voice issues. The voice-training-once + manual editing pass approach is far more reliable.

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