You can spot AI writing in about three seconds. Not because of bad grammar or obvious errors. Because it all sounds the same. The same safe phrasing. The same neat paragraph blocks. The same hollow confidence that says everything and commits to nothing.
Learning how to humanise AI content is now a core editing skill. I’ve reworked hundreds of AI-assisted drafts over the past two years, both my own and from clients who assumed a quick ChatGPT prompt would replace their content pipeline. Some of those drafts were perfectly fine on the surface (grammatically correct, well-structured, keyword-aware). And yet, they read like they were written by a polite stranger who had memorised your brief but never actually worked in your industry.
That’s the real problem with AI content. It’s not wrong… It’s just empty.
This guide is the editing process I use to fix that (not a list of vague tips). An actual workflow, with the specific patterns to look for, the words to cut, the structural habits to break, and the checks to run before you hit publish. Whether you write everything with AI or just use it for first drafts, this will help you turn flat, machine-sounding content into something that reads like a person with opinions actually wrote it.
Need help with your content strategy? Let’s talk.
Why AI writing sounds off even when it’s technically correct
AI language models are prediction machines. They pick the most statistically likely next word based on everything they’ve been trained on. That’s why they’re good at grammar and structure. But it’s also why they sound like everyone and no one at the same time.
Human writers make choices. They pick unusual words because they like how they sound. They write a short sentence for impact, then follow it with something longer and messier. They skip transitions when the idea is obvious. They leave things unsaid.
AI doesn’t do any of that. It plays it safe, picks the middle road, and smooths everything into a consistent, predictable hum. Researchers call this low burstiness (a measure of how much the writing varies in rhythm and complexity). AI-generated text scores low because it stays at one steady pace. Human writing jumps around. That variation is what makes it feel alive.
The result? AI content often passes a grammar check with flying colours but fails the gut-check test. Readers can’t always explain why it feels off. They just stop reading.
The words and phrases that give AI away
Every AI model has favourite phrases. If you’ve read enough ChatGPT or Claude output, you’ll start noticing them everywhere, like a verbal tic you can’t unhear.
Here are some of the worst offenders, phrases so closely associated with AI writing that using them is almost a confession:
- “In today’s fast-paced world” and any variation of it
- “It’s no secret that”
- “This comprehensive guide will”
- “Whether you’re a beginner or an expert”
- “It’s important to note that”
- “On the other hand” and “Let’s take a closer look”
Then there are the verbs. AI loves inflated, corporate-sounding verbs when simpler ones would do. “Utilise” instead of “use.” “Facilitate” instead of “help.” “Leverage” instead of, well, “use” again. “Implement” instead of “put in place.” These words aren’t wrong. They’re just the kind of language nobody uses in a normal conversation, and that gap between written tone and spoken tone is exactly what makes AI content feel synthetic.
Research published in 2025 found that certain words spiked dramatically in frequency across academic and commercial writing after large language models became widely adopted. Words like “crucial,” “intricate,” “noteworthy,” and “multifaceted” appeared far more often than they had in previous years. They became AI fingerprints (words or patterns that signal machine-generated text).
The fix is simple in theory, but takes discipline: build your own banned-word list and scan every draft against it. Replace the inflated words with plain ones:
- “Utilise” becomes “use”
- “Facilitate” becomes “help”
- “Optimise” becomes “improve” (unless you’re specifically talking about optimisation)
- “Demonstrate” becomes “show”
- “Implement” becomes “put in place”
You’re not dumbing the content down. You’re making it sound like a real person wrote it.
Fix the rhythm: sentences and paragraphs
Word choice is the easy fix. Rhythm is harder because it’s structural, and it runs deeper through the whole piece.
AI tends to write sentences that are all roughly the same length: 15 to 20 words, mid-complexity, one idea per sentence, moving at a steady pace. Read three paragraphs of that and your brain glazes over. It’s like listening to someone talk in a monotone.
Human writers vary their pace without thinking about it. A short sentence lands hard. Then they’ll write something longer, layering in a clause or two, because the idea needs more room to breathe. Then back to something punchy. That mix is what creates readable prose.
When you’re editing AI content, do a quick visual scan of the paragraph shapes. If every paragraph is three to four sentences, all roughly the same length, that’s a problem. You should see some single-sentence paragraphs. Some that are five sentences long. Some sections where the writing is dense because the topic demands it, and others where it’s sparse because the point is simple.
Here’s another common pattern to watch for. AI loves to open paragraphs by restating the heading in slightly different words.
The heading says “How to improve your page speed.” The first sentence says “Improving your page speed is an important step in your SEO strategy.” That’s not an opening. That’s dead weight. Cut it. Start with the actual advice.
And watch for the “fact stack” paragraph, where every sentence introduces a new point without connecting them:
“SEO is important for businesses. It helps you increase visibility. It can also drive more traffic to your website. SEO can improve brand awareness and credibility.”
That’s four disconnected statements that could be one good sentence: “SEO still matters because most people start with Google when they need help. If you don’t show up, your competitors get first shot at them.”
Same information. But the second version has a point of view.
Reshape your structure so it doesn’t look templated
Zoom out from the sentences and look at the overall shape of your article. AI loves symmetry. Every section has the same number of subheadings. Every list has three or five items. Every H2 follows the same pattern: definition, benefits, steps, summary.
That neatness is a tell. Real articles are messy because real topics are messy. Some sections need more depth than others. Some points are simple enough to cover in two sentences. Others need a full subsection with examples.
If your outline looks perfectly balanced, break it on purpose. Let the section that matters most take up twice the space. Let a minor point be a single paragraph rather than a full H2 with three H3s underneath.
A few specific things to fix:
Stop padding sections with mini-summaries. If a section ends with “To sum up,” or “The key takeaway here is,” followed by a restatement of what you just said, delete it. If readers need a summary, they’ll re-read the opening line. The only exception is a final “what to do next” section at the end of the full article.
Trim your FAQ sections. AI loves generating long FAQ blocks at the end of an article, usually with questions that overlap with the main content. If your FAQ adds nothing the article hasn’t already covered, cut it. Keep only the questions your actual customers ask that don’t fit neatly into the body.
Break the heading pattern. If all your H2s start with “How to” or “Why you should,” rewrite half of them. Use question formats, statement formats, and problem-focused formats interchangeably. The headings should reflect what each section actually does, not follow a formula.
Add what AI genuinely cannot generate
This is where most “humanise your AI content” advice stops being useful. They tell you to “add personal experience.” That’s true, but vague. Here’s what it actually means in practice.
AI can summarise what’s already been published. It can organise information. It can even mimic a conversational tone if you prompt it well enough.
What it cannot do is have an opinion based on experience. It can’t say “I’ve tried this and it didn’t work” and mean it. It can’t tell you about the client who ignored your advice and what happened next. It can’t flag the gap between what the textbook says and what actually happens.
That’s your job.
Every section of your article should contain at least one thing that a generic AI draft would never include on its own:
- A specific example from a project you’ve worked on
- A caveat that most guides skip because it’s inconvenient
- A recommendation that goes against common advice, with your reasoning behind it
- A detail that’s specific to your market, your industry, or your region
For UK-focused content, that also means grounding your examples in UK realities:
- Mention HMRC, not the IRS
- Talk about bank holidays, not federal holidays
- Reference sectors and job titles that UK readers recognise
These small details are what make a reader feel like the article was written for them, not for a global audience of everyone and no one.
There’s a bigger principle here. Google’s guidance on helpful content comes back to one question repeatedly: was this content created to help people, or was it created to attract search traffic? AI content without human editing almost always answers that question the wrong way. It covers the topic. It includes the right keywords. But it doesn’t actually help anyone do anything they couldn’t have done by reading the top three search results.
Your edits should add what Google calls “information gain,” something the reader couldn’t get from the other pages ranking for the same query:
- A different angle on the same topic
- A stronger opinion backed by your reasoning
- A more specific, real-world example
That’s what separates content that ranks from content that sits on page three looking identical to everything else.
What Google actually thinks about AI content
There’s a persistent myth that Google penalises AI-generated content. It doesn’t. Google’s own documentation says it has no problem with how content is produced. What it penalises is low-quality, unhelpful content, regardless of who or what wrote it.
Google’s helpful content system, updated several times through 2025 and 2026, focuses on a few core signals:
- Does the content show genuine experience and expertise?
- Does it add something original beyond what’s already available?
- Is it written for readers, not for search engines?
- Does the site have a clear topical focus, or does it spray thin content across dozens of unrelated subjects?
The E-E-A-T framework (experience, expertise, authoritativeness, trustworthiness) isn’t a ranking factor with a score you can check. It’s a set of principles that Google’s Quality Raters use to evaluate content, and that Google’s algorithms are designed to reward over time. In practical terms, it means your content should make clear who wrote it, why they’re qualified, and where their information comes from.
AI content that’s been properly edited, fact-checked, and enriched with real experience can perform well. AI content that’s published as-is, at scale, with no human input, is exactly the pattern Google has been targeting with its “scaled content abuse” policies.
The takeaway: don’t worry about whether Google can detect AI. Worry about whether your content is actually useful.
A practical editing workflow you can use today
Here’s the process I use for every AI-assisted draft before it goes anywhere near a CMS. It’s three passes, and each one targets a different layer of the content.
Pass one: structure and intent
Before you touch a single sentence, look at the outline. Does the structure follow a logical arc that matches what a reader actually needs? Or does it follow a template the AI defaulted to?
Check that sections are ordered around the reader’s journey, not around abstract categories. “What to fix first” is better than “Key benefits.” “When this approach doesn’t work” is better than “Common challenges.”
Delete any section that exists only to pad the article. If it doesn’t answer a question, teach something, or help the reader make a decision, it shouldn’t be there.
Pass two: rhythm and flow
This is where you read the draft properly, ideally out loud. You’re listening for the monotone hum of AI prose. Same-length sentences. Same paragraph shapes. The predictable pattern of statement, elaboration, transition, repeat.
- Combine short sentences into longer ones where they’re related
- Split long sentences that try to cover two ideas
- Drop in a single-sentence paragraph where a point deserves to land on its own
- Remove transitions that act as crutches
If two paragraphs are logically connected, the reader doesn’t need you to say “with that in mind” to bridge them. The content itself should do the work.
Pass three: language and specifics
Now go through line by line:
- Replace every inflated word with a simpler one
- Cut every filler phrase that adds no information
- Add one concrete example or personal detail to any section that feels generic
- Check that the opening of each section doesn’t just restate its heading
This is also where you localise. If the content is for a UK audience, make sure it sounds like it. British spelling, UK-specific references, and a tone that’s confident without being loud.
The read-aloud test: your final quality check
The single most useful editing technique I know is reading the content out loud. Not skimming it. Actually speaking the words.
When you read silently, your brain auto-corrects problems. It smooths over awkward phrasing, skips repetitive transitions, and fills in missing logic. When you read aloud, those problems become obvious. You stumble on sentences that are too long. You hear when three paragraphs in a row start the same way. You notice when a section says nothing that the previous one didn’t already cover.
As you read, ask yourself:
- Does this sound like a person talking to a colleague, or like a press release?
- Are there sentences where every word feels equally polished, with no rough edges or personality?
- Could you swap this article with one from a completely different website, and nobody would notice?
- Is there a single line that sounds like something only you would write?
If the answer to that last question is no, you have more editing to do.
The goal isn’t to make AI-assisted content undetectable. The goal is to make it good. Content that reads like it was written by someone who knows the subject, cares about the reader, and has something specific to say. That’s what people want to read. And it’s what search engines are increasingly designed to reward.
If you’re short on time, start with one thing: pick the section of your article that feels most generic, and rewrite it with a specific example or a clear opinion. That single edit will do more for your content than any AI humaniser tool on the market.
Want to improve how your content performs in search? Get in touch.