How to stop publishing AI content that sounds like everyone else
Who this is for
This article is for garden centre owners and general managers who are now getting decent output from AI, but have started to notice a different problem. The draft may be accurate enough and tidy enough, yet it still sounds too much like other things you have already read. Last week was about cross-checking and comparing models when the work matters. This week builds on that. Once the facts are sound, the next job is making the writing feel more human, more specific, and more recognisably yours.
Key Takeaways
AI writing often sounds familiar because it defaults to safe, tidy, middle-of-the-road language unless you push it off that path.
Better voice is not only about tone. It also comes from stance, rhythm, specificity, examples, and what you choose to leave out.
You can reduce obvious AI fluff by cutting clichés, replacing vague praise with real detail, and keeping natural caveats where they matter.
Skilled users do not stop at acceptable output. They remove sameness, sharpen the point of view, and shape the draft until it sounds like their business.
Once you know the voice you want, it helps to bake that guidance into the general settings and reusable setup of your chosen AI tool.
Why clean AI writing still feels too familiar
By week 11, most readers have already moved beyond the early mistake of asking one vague question and pasting the first answer somewhere public. You now know how to prompt more clearly, add better context, improve a weak draft in rounds, verify claims, and use a second model when needed.
However, there is another problem that appears once the basics are working. The draft may be factually fine, but it still sounds like AI. More specifically, it sounds like lots of other AI-assisted writing you have already seen. It feels smooth, neutral, and oddly interchangeable. You could imagine the same paragraph appearing on a hundred other websites with only a few nouns swapped out.
That happens because AI usually drifts towards the middle unless you steer it away. It often reaches for clean, polite, broadly positive wording because that is the safest route. The result is readable, but not very distinctive.
Average users often stop there. The draft is acceptable, so they move on. Skilled users do something else. They shape the voice, the stance, the specificity, and the structure until the answer feels like it belongs to their business and no one else’s.
That is the real lesson this week. AI can help you get to a first draft quickly. Your job is to stop it flattening your voice into the same familiar wording everyone else is publishing.
Why so much AI writing feels instantly recognisable
Most obvious AI writing shares the same habits. It is not always wrong. In fact, it is often technically clean. The problem is that it sounds suspiciously familiar.
Common signs include:
every sentence has a similar length and shape
the tone stays politely neutral from start to finish
it uses broad praise such as “beautiful range”, “carefully curated”, or “perfect for every garden”
it reports information without any clear opinion, priority, or angle
it sounds certain about everything, even where a real person would add a caveat
it rarely uses first person where first person would sound more natural
it has no edge, no warmth, and no sense of a real person choosing the words
it reads more like a press release or a Wikipedia entry than normal business communication
That is why some drafts feel flat even when there is nothing obviously wrong with them.
The usual fluff AI adds unless you steer it
This is where the article should get more practical. AI does not only produce bland wording. It often pads the draft with familiar filler because filler helps it sound polished quickly.
That fluff often shows up as:
openings that say very little before getting to the point
sweeping claims that sound nice but are hard to picture
empty positives such as “high quality”, “stunning”, or “thoughtfully selected”
cheerful but vague calls to action
over-explained transitions that make the writing feel too neat
phrases that could sit on any retailer’s website in the country
For a garden centre, that can sound especially tired. Customers are not usually looking for grand copy. They want useful wording. They want to know what is in, who it is for, what to expect, and whether it suits their situation.
So the goal is not to make AI sound “cleverer”. It is to stop it adding the sort of fluff that gets in the way of useful communication.
Efficiency and originality are not the same thing
AI is very good at speed. It can help you get from rough notes to a workable first draft far more quickly than starting from a blank page. That matters.
Still, efficiency alone is not the goal. Fast generic writing is only useful up to a point. If the final result sounds like everyone else, the time you saved on drafting may come back as time spent rewriting, clarifying, or fixing weak public wording later.
The better approach is this: let AI save time on the blank page, then use your judgement to add originality, tone, and real-world relevance. That is how you preserve authenticity while still using AI productively. You are not handing over your voice. You are using the tool to get to a stronger first draft faster, then applying your own standards to make it sound right.
Voice is bigger than tone
Earlier articles already covered tone, audience, and context. Those still matter. However, week 11 needs to go further than that.
Voice is not only whether the writing sounds warm or formal. It also includes:
what you emphasise first
whether you take a view or sit in the middle
how practical or restrained the wording feels
how much rhythm and variation there is in the sentences
whether you include a useful caveat when one is needed
whether the language sounds local, grounded, and real
That is why two drafts can both be “friendly and professional” but only one sounds like it came from your business.
How to make AI writing feel more human and less generic
Use reference samples, not just adjectives
Telling AI to be “warm”, “natural”, or “on brand” only gets you so far. Showing it two or three examples of writing you already like is usually far more effective.
This is one of the biggest differences between acceptable output and distinctive output. Average users describe the tone they want. Skilled users show the model what good looks like.
A real example teaches the model things that vague adjectives do not:
how long your paragraphs tend to be
whether your wording is chatty, calm, plain spoken, or direct
how you handle calls to action
whether your style is more practical than promotional
what kind of detail your business usually includes
Use samples for style, not for facts. Keep them current and relevant.
Define the audience precisely
“Customers” is often too broad. A café visitor, a Christmas gift buyer, and a regular gardener are not all reading with the same question in mind.
The more precise the audience, the more natural the draft tends to become. This is one reason so much AI wording feels generic. It was written for nobody in particular.
Ask for stronger examples and specific detail
A lot of AI writing stays vague because the prompt allows it to stay vague. Push for detail.
Ask things like:
what would a customer actually notice first
what practical detail makes this feel believable
which sentence could apply to any retailer
what is too broad to be useful
This usually improves the draft faster than simply asking for “more personality”.
Keep a point of view in the writing
A business voice is not just tone, but it is also judgment.
For example, a useful garden centre message might say:
which option is easiest for beginners
what is good for a quick gift purchase
why one event suits families better than keen hobbyists
where a customer should double-check before buying
Those small choices make the writing feel more human and they show that someone has actually thought about the reader, not just described the subject.
Let the writing sound like a person, not a system
Human writing often includes small signals that AI smooths away unless you ask for them back.
That might mean:
a shorter sentence after a longer one
a small opinion
a caveat where the situation genuinely varies
a practical phrase a customer would actually say
a touch of warmth without trying too hard
You are not trying to make the writing quirky. You are trying to stop it sounding machine-even all the way through.
How to strip the fluff out before you publish
This is one of the most useful editing habits you can build. Once the draft is there, go through it with one question in mind: what here sounds polished but empty?
Start by cutting:
any phrase that could sit on almost any other website
any sentence that praises the product without showing anything real
any opening that delays the useful point
any line that sounds like it is trying to impress rather than help
Then replace that wording with:
one practical detail
one real customer angle
one clearer priority
one honest caveat, where needed
For example, instead of:
We are delighted to offer a stunning range of beautiful planters perfect for enhancing any outdoor space.
Try something closer to:
We have a fresh batch of outdoor planters in this week, including a few larger sizes that work well by a front door or on a patio where you want a bit more height.
The second version uses fewer words to praise the product. However, it gives the customer more useful information.
A quick checklist for spotting soulless writing
Before anything goes live, scan for these warning signs:
every sentence has the same neat structure
the draft only reports information and never takes a view
it sounds certain about everything, even where a human would hedge slightly
there is no first person where first person would sound natural
the wording has no warmth, no edge, and no personality
the paragraph could sit on almost any website without anyone noticing
If you spot three or four of those together, do not publish yet. The draft probably needs sharper examples, a clearer point of view, and a firmer edit.
A before and after rewrite example
Imagine you ask AI to write a short website introduction for a new range of indoor gift items arriving before Mother’s Day.
A typical first draft might say this:
We are delighted to offer a beautiful range of thoughtful gifts perfect for every occasion. Our carefully selected collection combines style, quality, and charm, making it easy to find something special for your loved ones.
Nothing there is wildly wrong. However, it sounds like dozens of other retail websites. It is full of familiar praise, vague nouns, and safe filler.
A stronger version, shaped with better judgment, might sound more like this:
If you are popping in for a Mother’s Day gift, we have a fresh run of small homeware, scented candles, and planted arrangements that are easy to pick up without overthinking it. Some customers want a simple under-£20 gift. Others want something that feels a bit more personal. We have tried to cover both.
That second version works better because it removes the cliché behaviour. It sounds like a real business talking to real customers and reflects how people actually shop. It includes a small point of view and plain detail instead of padded language. It feels more human because it is trying to help, not just sound polished.
What to tell AI to stop doing
It often helps to be direct. If you know the model tends to drift into fluff, say so.
Useful instructions include:
avoid vague praise and promotional filler
do not use clichés or generic retail phrases
do not write like a press release
vary sentence length naturally
keep the language plain and specific
include caveats where the situation genuinely varies
prefer practical detail over polished adjectives
write like a real local business, not a lifestyle brand
These instructions will not solve everything on their own but usually give you a better starting point.
Bake your voice into the tool, not only the prompt
Earlier weeks already covered reusable context, reference samples, and saved tone material. This week should build on that more firmly.
Once you know the sort of writing you want, stop retyping the same tone correction in every chat. Where your chosen tool allows it, add that guidance into the wider setup.
In ChatGPT, for example, that can mean using:
memory
custom instructions or saved guidance
project files and project-specific notes
personality or style settings where they are available
If you keep having to say “make this sound less generic”, “stop sounding like a template”, or “sound more like us”, then that guidance probably belongs in your general setup as well as the one prompt and context in front of you.
Build your anti-generic house rules
A helpful next step is to write a small set of style rules for your business that you can re-use as context.
For example:
we prefer plain English over polished filler
we use practical examples over abstract claims
we sound warm, but not gushy
we avoid obvious sales clichés
we admit limits where needed
we write like a real local business, not a brochure
That gives you something reusable to paste into prompts, save into projects, or build into general tool settings.
Where it helps in a garden centre
This matters most when the writing is public, repeated, or closely tied to customer trust.
Loyalty emails: A generic draft may be tidy, but it often sounds like mass marketing. A better version sounds like your shop, your season, and your regular customers. It also helps you keep subscribers subscribed, rather than nudging them towards the spam button.
Café wording: Menu notes, specials boards, small seasonal promos, and customer replies need to sound warm, clear, and easy to take in quickly. AI often makes café wording sound too polished, too wordy, or oddly formal, when what you usually need is something short, natural, and appetising.
Gift and homeware copy: Generic AI tends to describe items in broad retail language. Better prompting produces copy that feels more local, practical, and gift-aware.
Christmas trading updates: Seasonal messages need judgment about tone, pace, and relevance. Customers do not need a grand speech. They need clear, useful, human wording.
Common pitfalls
Asking AI to “sound more human” without showing what that means in your business.
Accepting clean writing that says very little.
Leaving in phrases that could belong to any retailer.
Treating tone as the whole problem when the real issue is sameness, fluff, or no clear point of view.
Removing all personality because you are worried about sounding informal.
Forgetting that natural writing sometimes includes uncertainty, trade-offs, or mixed views.
Pasting customer details, staff information, or other sensitive material into public AI tools while building examples. Use anonymised material.
Try this in 10 minutes
Choose one real piece of customer-facing writing you are likely to use soon. Good options include a loyalty email, a café special, a short gift range introduction, or a seasonal website update. Then follow these exact steps.
Open a blank document and give it two headings: Version A and Version B.
Under Version A, paste your original AI draft exactly as it is now.
Read it once from start to finish and put a tick next to any line that sounds generic, over-polished, or like something you have seen on lots of other websites.
Underline or highlight any vague phrases such as “beautiful range”, “carefully selected”, “perfect for every occasion”, or anything else that sounds like filler.
Next to the draft, write down three notes before you change anything:
one practical detail a real customer would want to know
one customer type this is really for
one small opinion or point of view your business would naturally have
Now copy this prompt into your AI tool, along with the original draft:
“Rewrite this in plain English for [customer type]. Remove generic phrases, clichés, and padded wording. Include this practical detail: [detail]. Include this point of view: [point of view]. Keep it sounding like a real local business, not a press release.”
If you have them, paste in one or two short examples of your usual writing, or add your simple house rules before the prompt.
Take the new version the AI gives you and paste it under Version B.
Read Version A and Version B side by side. Ask yourself three questions:
Which version sounds more like our business?
Which version gives the customer more useful information?
Which version is less likely to make someone switch off or ignore it?
Keep Version B, but make one final manual edit yourself so at least one sentence sounds unmistakably like you, not the model.
The aim is not just to get a nicer draft. It is to learn how to spot generic AI habits, strip them out, and replace them with something more human and more useful.
Saveable tip sheet
Use AI for first drafts, not final flavour.
Cut phrases that could belong to any retailer.
Replace vague praise with real detail.
Keep a small point of view in the wording.
Let natural caveats stay where they matter.
Use reference samples, not just tone adjectives.
Build anti-generic house rules you can reuse.
Bake your preferred voice into the broader setup of your chosen tool.
Treat repeated tone problems as a setup problem, not only a draft problem.
Keep private business and personal data out of public tools.
Template prompt pack
De-fluff this draft
“Rewrite this draft in plain English. Remove vague praise, clichés, and generic retail filler. Replace broad claims with practical detail. Keep it specific to a UK garden centre.”Stop sounding like everyone else
“This draft sounds too familiar and could sit on any other retailer’s site. Rewrite it so it feels more grounded, more specific, and more like a real local business.”Voice match rewrite
“Rewrite this draft so it sounds like our business. Use these two reference samples mainly for tone, rhythm, and sentence style, not for facts. Audience is [audience]. Keep it practical, plain English, and specific.”Cut the clichés
“Review this draft and highlight every phrase that sounds padded, clichéd, or recognisably AI-written. Rewrite those lines in simpler, more useful language.”Add human signals
“Rewrite this so it sounds more like a real person wrote it. Vary sentence length naturally. Use this point of view from us: [insert your point of view]. Include a caveat where that would make it more trustworthy.”Audience sharpening prompt
“Rewrite this for [audience]. Explain what they are likely to care about first, what detail would help them most, and what wording would feel natural rather than promotional.”AI style check
“Act as an editor. Tell me whether this sounds like a real garden centre business or a generic AI draft. Explain the signs, then rewrite it so it feels more local, specific, and natural.”House rules rewrite
“Rewrite this using our style rules: [paste rules]. Avoid [phrases or habits to avoid]. Keep the tone [your tone] and make the writing useful rather than polished.”
What’s next
Last week was about using more than one model to test the quality of important work. This week is about the part that comes after quality. Once the answer is sound, you still need it to feel alive. Next week brings the whole series together into a repeatable working system, so you are not relying on scattered prompts and one-off habits every time you open a new chat.