Every marketer and their dog is busy debating AI agents, but hardly anyone’s talking about the fastest, least-hacky way in: custom GPTs. Sick of drowning in content production? Feel like you need ten hands just to keep up with LinkedIn, Twitter, Instagram, and maybe even some wild side project that’s meant to “build your brand”? This guide is for you if you want actual, practical tactics to produce serious volumes of on-brand posts—minus the generic AI fluff. You’ll see exactly how I do it, what’s actually working, and why most marketers are missing the point.
Watch the video: How I Use AI & Custom GPTs to Create 50+ Social Posts a Week
Custom GPT setup by social platform
| Platform | How to tune the GPT | Example format | What to ban |
|---|---|---|---|
| Train on your strongest opinion-led posts, client evidence and preferred hook patterns | Hook, argument, evidence, practical takeaway | Generic hooks, fake vulnerability and unsupported claims | |
| X | Prioritise concise claims, threads and clear source links | Single insight or short numbered thread | Long introductions, LinkedIn-style formatting and hashtag stuffing |
| Use visual concepts, concise captions and consistent brand language | Carousel outline, caption and visual brief | Text-heavy slides, generic captions and inconsistent visual language | |
| Multi-channel | Define a unique template and constraints for every destination | One source idea transformed into platform-specific versions | One-size-fits-all rewrites and copied formatting |
What’s the simplest way to start producing high-volume, on-brand content with AI?
Let’s get straight to the no-BS answer: build a custom GPT before you touch complex automations. Everyone loves to overcomplicate things, but if you’re not using a basic custom GPT, you’re skipping the quickest entry into AI-powered marketing.
Think of a custom GPT as your digital clone. You can train it with: Learning about AI agents for content scaling helps optimize your workflow.
- Your voice and tone (Web3 SaaS? Crypto loans? Locksmith?)
- Personal strategy, favourite turns of phrase, and actual post templates
- Technical brand requirements—for the blockchain crowd, you know who you are
Contrast that with jumping straight into Make.com, N8N, or higher-end dev automations. You get bogged down before you even learn what works.
In my agency, here’s how it looks:
- Start everything in a custom GPT
- Get wins, tweak, and validate your prompts
- Only then scale with APIs or more complex tools like Make.com or Langchain
It’s easier than you think, but nobody talks about it. Why? Most marketers preaching “AI agents” haven’t built their own. I know exactly two who have—and I’m one of them.
Can custom GPTs actually match your voice and brand? Or do they just sound like AI robots?
If you’ve ever rolled your eyes at a sentence like, “In the ever-changing landscape of tech…” you’re not alone. I hate when AI starts doing that nonsense. Most “AI content” is unreadable because it sounds robotic and stuffed with keywords nobody would ever actually say out loud.
Here’s the fix:
- Feed your custom GPT a big batch of your real content—LinkedIn, stand-up routines, winning sales posts
- Layer in templates or formats proven to work (I literally use a PDF of the top viral LinkedIn posts—that’s not secret sauce, it’s just smart theft)
- Add explicit instructions to BAN words and phrases you hate. My GPT refuses to use generic intros or fluff words (yes, it even writes in UK English)
- Build several GPTs for different channels—one for LinkedIn, one for Twitter, one for comedy routines… The tone and context are wildly different and your content should be too
I’ll be blunt: everything I’ve posted on LinkedIn for the last year and a half has come from one of these agents. It writes better than me on judgement day.
How do you turn one idea into content for every platform—without losing quality?
Let’s talk about execution—the real bottleneck. Ideas are easy. Good posts for every platform? That’s where most folks stumble.
Most marketers take ages to repurpose a single idea. Writing for Instagram isn’t the same as Twitter or LinkedIn, and if you copy-paste, everyone yawns.
My process:
- Use a custom GPT trained with the right context and examples for that channel
- After creating a LinkedIn post, I tell my Twitter GPT: “Turn the last LinkedIn post into a tweet”
- Each GPT draws from unique knowledge bases, so my Twitter content isn’t regurgitated LinkedIn. It’s crafted for fast, punchy formats (with someone else’s killer tweets as fuel—because I’m not a Twitter junkie)
Result: batching a whole month’s content calendar can be done in an hour, not the old 30 minutes per post slog.
Walking the dog? Going to the gym? I can talk to my GPT and sketch out rough ideas—for web3, comedy, or agency work—and by the end, I have formatted, ready-to-go posts. No more blank page paralysis.
What about those ‘AI content’ horror stories—doesn’t this produce generic rubbish?
Here’s the big myth: “AI content is bad.” Truth is, bad AI content is bad. Custom prompts and real examples stop your posts sounding like a soulless press release.
My custom GPTs:
- Follow precise do’s and don’ts (no tech clichés, no corny openers)
- Inject my sense of humour and sarcasm, not forced “thought leadership”
- Keep technical detail sharp for web3, yet relatable for non-dev audiences
- Are never, ever allowed to write, “In the digital age of…(insert snooze here)”
If you’re tired of AI posts that look like they’ve been spat out of content-mills, it’s because they have. Custom GPTs let you sound distinctly you, at scale.
How has this changed my agency workflow—and how many posts are we really talking?
Let’s talk raw output. As a marketer/founder/comedian, I’m juggling:
- 3–5 LinkedIn posts a week, often more
- 5–10 Twitter posts
- One YouTube script (well, that’s the dream—sometimes life wins)
- Spinoffs: blog posts, Medium, Instagram, TikTok (for comedy and agency, no less)
Easily 50+ posts a week—all without collapsing into tears. Custom GPTs made this possible, saving me hours and sparing my brain the pain of repetitive writing. The bonus? My clients love it. Their content doesn’t just ship faster, it actually sounds like them.
Quick wins
- Build your first custom GPT using OpenAI’s GPTs—import your top posts and tone-of-voice guide
- Steal winning templates—grab viral LinkedIn post PDFs and feed them in as examples
- Ban “AI-speak” in your prompt—list the phrases and words you never want to see again
- Batch content: spend one hour a week creating a whole month’s calendar with your GPT
- Use your phone to dictate new ideas directly to your GPT while walking or at the gym
- Assign platform-specific GPTs—LinkedIn, Twitter, Instagram—each one tuned for the channel
Ready for content that sounds like you and ships itself?
If you’re done wasting time with bland content, or stuck thinking you’re “not technical enough”, book a free LLM strategy call and let’s build a process that’ll actually let you have a life outside of content creation. Link’s here: https://calendly.com/victoria_olsina/45min
Frequently Asked Questions
What’s the difference between a custom GPT and a normal AI chatbot?
A custom GPT is tailored using actual examples from your own writing, content, and templates. Normal AI chatbots work with generic data, so the results feel bland and vague. You want your posts to sound like you? Feed your GPT with your “greatest hits.”
Do I need coding skills to build a custom GPT?
Not at all. Tools like OpenAI’s GPT builder are point-and-click. If you can upload a document and write simple instructions, you can do this. No technical background required—just be strict about your do’s and don’ts.
How do I train my custom GPT to avoid boring robotic copy?
Tell it! Explicitly instruct it to ban certain phrases and reward personality. Have your prompt include “Don’t ever use these words…” and define your preferred tone. Give it examples of both good and bad content you’ve seen.
Can I use this approach for more than one channel or business?
Absolutely. I run different GPTs for agency work, comedy, and help clients build their own. Just make sure each GPT is given relevant material—a finance brand will need a different context than a stand-up comedy Instagram.
What’s the quickest way to get started if I’m short on time?
Start with a single, focused GPT aimed at your most important channel—usually LinkedIn or Twitter. Use one week’s worth of top posts as the initial data. As you build confidence, split out for other channels or start batching content weekly with simple prompts.
Will this help web3 projects with technically accurate posts?
Yes. I’ve found custom GPTs excel when fed precise examples and required vocabulary. For web3 or blockchain, make sure your agent trains on accurate, up-to-date docs. The right prompt will keep your brand sharp and credible in a technical market.
Need help scaling your marketing operations?
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