Buffer schedules posts everywhere. We write the ones worth scheduling.
Buffer is the best social media scheduling tool for individuals and small teams. It solves the distribution problem. Say Something solves the content problem — which is the one actually holding most people back.
Distribution cadence vs. what you're actually saying.
Buffer is excellent at what it does
Schedule across LinkedIn, Instagram, X, Threads, TikTok, and more from a single queue. Clean calendar view, reliable publishing, a genuinely good product. It solves the consistency problem.
Buffer's AI generates from prompts
Buffer's AI Assistant takes a topic or prompt — 'write a post about leadership' — and produces content. It doesn't know what happened in your week, what deal you almost lost, or what a customer said that changed how you think.
Write first. Schedule second.
They solve different problems and work well together. Write with Say Something, schedule with Buffer. A full content calendar is only valuable if the content in it is worth reading.
A consistent posting schedule filled with generic content is still generic content.
“One year in business and here’s what I wish I knew from day one: 1) Done is better than perfect 2) Your network is your net worth 3) Cash flow beats everything 4) Invest in systems early 5) Rest is part of the work. These lessons cost time and money to learn. What’s the most important thing you’ve learned as an entrepreneur? Share below — I’m reading every comment. 👇”
We spent six months building a feature nobody asked for. It launched in October. Three people used it. In November, a customer named Rachel sent me a two-sentence email: “I keep trying to use [this feature] but I don’t understand it. Can you explain what problem it’s supposed to solve?”
We couldn’t. We pulled the feature in December, spent three weeks actually talking to customers, and rebuilt it from scratch. That version shipped in March and became our highest-rated release ever. The lesson wasn’t about building faster. It was about not confusing motion with listening.
Posting consistently is table stakes. Posting something worth reading is the actual goal.
Buffer is the right tool if you’re managing a posting cadence across multiple platforms and want to plan ahead. It’s clean, it’s reliable, and the scheduling workflow genuinely saves time. Keep using it for that.
But Buffer’s AI Assistant writes from prompts — and prompts produce the kind of content that fills a queue without stopping a scroll. Say Something writes from a conversation about your actual week: the deal that almost fell through, the thing an employee said in a one-on-one, the decision you made and aren’t sure was right. That’s the content that gets forwarded. Try a five-minute conversation or see what good posts look like.
Common questions.
Does Buffer write LinkedIn posts for you?
Buffer has an AI Assistant that generates content from prompts — you tell it a topic or paste in an idea and it produces a post. It’s useful for filling a queue quickly. But it doesn’t interview you, doesn’t know what happened in your week, and produces content calibrated for output volume rather than the kind of specificity that makes a post worth reading.
What’s the difference between Buffer and Say Something?
Buffer is a scheduling and distribution tool. Say Something is a writing tool. Buffer helps you publish consistently across platforms. Say Something helps you figure out what’s actually worth publishing — by interviewing you about your week and writing posts from your real answers, with a 14-rule kill list that blocks emojis, engagement bait, and every other pattern that makes LinkedIn posts feel fake.
Can I use Buffer and Say Something together?
Yes — they solve different problems. Use Say Something to write a post that sounds like you wrote it on your best day. Then copy it into Buffer to schedule and publish. The writing quality and the distribution cadence are separate jobs.
Is Say Something free?
Yes. You can write posts, grade existing ones, and check for AI-sounding language — all free, no account required.