ContentIn mimics your voice from samples. We capture it from a conversation.
ContentIn trains on your past LinkedIn posts to approximate your writing style, then uses that model to generate new content. Style learning is real — but it captures the surface: the vocabulary, the cadence, the structure. It doesn't capture what you actually know and have been through.
Approximating how you write vs. understanding what you have to say.
“Leadership isn’t about having all the answers. It’s about asking the right questions. The best leaders I’ve worked with create space for their teams to think, not just execute. That’s the difference between managing and leading. Which would you rather be known for?”
I almost ended a meeting on Wednesday with the wrong conclusion. We were thirty minutes in, circling the same point, and I was about to summarize what I thought everyone agreed on.
Instead I asked: “What would have to be true for this to work?” Three people answered differently. Turns out we didn’t agree at all — we’d just stopped disagreeing out loud.
The next twenty minutes were more useful than the previous thirty. That question has been in my toolkit for a decade. I’d just forgotten to use it.
Voice is the easy part. Substance is the hard part.
Your past posts are your floor, not your ceiling
ContentIn trains on what you've already written. But the posts that performed worst are in that training set too — the generic ones, the half-formed thoughts, the ones you dashed off when you had nothing to say. The model learns those patterns right alongside the good ones.
Style without substance doesn't compound
A post that sounds like you but says nothing new doesn't build your reputation — it just fills space in someone's feed. The posts that generate inbound messages and referrals are specific. They say something the reader didn't know, or knew but hadn't seen said that clearly.
What you know can't be sampled
The thing that makes your posts worth reading isn't the vocabulary or sentence length. It's the specific thing you know that your audience doesn't. That comes from what happened this week — not from analyzing what you've written before.
Your voice is already good. The question is what to say with it.
ContentIn’s style learning is a real feature — if you’ve developed a voice over years of posting, approximating it saves time. But the harder problem is upstream: figuring out which of this week’s experiences is worth turning into a post at all.
Say Something starts there. A conversation about your week surfaces the specific story, the real insight, the thing that actually happened. The post that comes out sounds like you because it came from you — not from a model trained on your past patterns. Try it here or read posts where that worked.
Common questions.
How does ContentIn learn my voice?
ContentIn analyzes your past LinkedIn posts to identify patterns in your vocabulary, sentence structure, and tone. It then uses that model to generate new posts that approximate your style. The limitation is that style learning captures how you write, not what you know or what happened to you this week.
Does ContentIn include scheduling?
Yes — ContentIn includes a content calendar and scheduling features for both personal profiles and company pages. It also offers analytics to track post performance and identify what content resonates with your audience.
What does ContentIn cost?
ContentIn starts at $19/month for basic features, with higher tiers at $39/month (with AI voice training and analytics) and $99/month for scale. Annual billing offers around a 20% discount.
Is Say Something free?
Yes. You can write posts, grade existing ones, and check for AI-sounding language — all free, no account required.