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How to Write LinkedIn Posts for Agency Clients (That Actually Sound Like Them)

GoMimic TeamJune 20266 min read

Why most AI LinkedIn posts sound like they were written by nobody

Once general AI tools got good enough to draft LinkedIn posts, it got easy for client content to sound the same. Not bad, exactly. Just flat. Confident sentences with no fingerprints on them.

Here's why that happens. A general-purpose AI tool has no information about how your client actually writes. Ask it to draft a LinkedIn post for a B2B SaaS founder and it defaults to the median voice of every LinkedIn post it's ever seen: "I'm excited to share," a tidy list, a bolded takeaway, a closing line asking what everyone thinks. That's not a flaw in the tool. It's the tool doing exactly what it's built to do when you give it no real information to work with, filling the gap with the safest, most broadly applicable version of the genre.

The result is a post that could have run under any client's name on your roster. Swap the headshot and nobody notices.

Three identical LinkedIn posts, each under a different client: an excited opening, a tidy numbered list, a bolded takeaway and a closing question. Swap the headshot and nobody notices.
Illustrative. The generic post fits every client equally badly.

What you're actually looking for when you study how someone writes

The fix starts with reading. Go through a client's recent published posts, or their blog archive, and take notes as you go.

Vocabulary is the first thing to track. Some clients say "customers," others say "folks" or "operators." Some default to "build," others to "ship." A client who always writes "use" and never "utilize" is giving you a real signal, not a coincidence.

Sentence length and rhythm come next. Some clients write in short, clipped fragments. Others write long sentences that wind through two or three clauses before landing the point. A handful of posts is usually enough to tell which kind of writer someone is.

Then there's the open and the close. Most people have an opening move they don't even know they repeat, always a number, or always a blunt claim stated flat with no lead-in. Closings vary just as much. Some end with a direct ask, while others just stop on a flat statement and let it sit.

Three panels. Sentence length drawn as bars, short and clipped or long and winding. Two ways to open a post, with a number or with a blunt claim. Two ways to close, with a direct ask or by stopping on a flat statement. The lines are examples.
The lines are examples.

Last, pay attention to what they never say. This gets skipped constantly, but it's often the most useful data point. If a client has never used an emoji or never written the word "synergy," that absence tells you as much as anything they've actually written.

Word pairs where the client always picks one: use over utilize, customers over folks, ship over build. And the things they never write, such as an emoji or the word synergy. The words are examples.
The words are examples. Each client's list is their own.

A framework you can use without any tool at all

If you want to do this by hand for your own clients, here's roughly what to build for each one: a short list of words they reach for and a short list they'd never touch, their typical sentence length, how they usually open a post, how they usually close it, and the topics they gravitate to without being asked. Put it on a single page per client. Read that page before you draft anything for them. It will get you most of the way to sounding like the person, no software required, just discipline about doing it every time instead of once and forgetting. When the page is ready, our step-by-step guide to turning a blog post into a LinkedIn post covers the rest, with a full worked example.

Example of a one-page client voice profile listing the words a client reaches for, the words they never use, their sentence rhythm, how they open and close a post, and the topics they return to.
An example of the one page to keep for each client. The entries are illustrative.

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How GoMimic handles this so you're not redoing it every time

Doing that page-per-client exercise for every client, every time you sit down to write, is the real bottleneck in agency content ops. It's not the writing itself that eats the hours. It's re-explaining the same client to whatever tool you're using.

GoMimic keeps that page for you. It learns how a client writes from their real published posts: the vocabulary, the rhythm, the opens and closes. A habit only counts once three separate pieces of their writing confirm it, so the picture gets sharper the more the client publishes. Once enough of those habits are confirmed, pasting a new blog post creates LinkedIn content for clients that sounds like them, along with any other formats you picked for that client, without anyone re-explaining the client from scratch.

Three of the client's published posts feed a voice page. Habits seen in all three posts are confirmed; a habit seen in one post is not yet. A new blog post then comes back as a LinkedIn post in that voice.
A habit seen in only one post doesn't count yet.

It's not a replacement for knowing your clients, and it won't catch a voice shift the week a client rebrands. What it does is remove the part of the job that was never the interesting part anyway: retyping the same brief for yet another client this week.

In our view, the client relationships that last aren't built on one great post. They're built on months of posts where the client can't tell which post their agency wrote and which one they'd have written themselves.

Questions people ask

Why do AI-written LinkedIn posts sound generic?

A general AI tool has no information about how your client writes, so it falls back on the typical LinkedIn post: "I'm excited to share", a tidy list and a closing question. The result could run under any client's name.

How do you learn how a client writes?

Read their recent published posts and note the words they use, how long their sentences run, how they open and close a post, and what they never say. A handful of posts is usually enough.

What should a client voice page include?

Words they reach for and words they'd never use, their typical sentence length, how they usually open and close a post, and the topics they come back to. Keep it to one page and read it before every draft.

How many posts do you need to capture a client's voice?

A handful will show the basics. GoMimic only counts a habit once it shows up in three separate pieces of the client's writing, so the picture sharpens as they publish more.

Can a tool keep each client's voice for you?

Yes. GoMimic learns each client's voice from their published posts and uses it every time you paste a new one. It won't catch a voice shift the week a client rebrands, so someone still reads every post.

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Turn your published blogs into ready-to-post assets in 60 seconds

GoMimic remembers every client's voice. No prompts to write.

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