Every marketer hits the same wall: endless repetitive tasks, wasted hours wrestling with clunky tools, and the dread of menial work that drains your creativity. If you’re sick of cookie-cutter AI content or wish your team could jump the queue from idea to publish in record time, keep reading. This one’s for marketers, content managers, SEOs and anyone itching for smart shortcuts using AI—without falling for the latest overhyped martech “solution.”
What you’ll get below: firsthand examples, real-world tools, and a behind-the-scenes look at how I build custom GPT automations that others pay to use (sometimes after I’ve lost several weekends perfecting them). Ready to see what’s actually possible?
Watch the video: Custom GPTS with Victoria Olsina & Craig Campbell
Useful GPTs I shared:
How can you automate annoying marketing tasks with custom GPTs?
You don’t need to drown in manual busywork. Custom GPTs let you save time on both core work and life admin, freeing up hours per week. Here’s where they make a tangible difference:
- Complaint handling: “Karen GPT” writes professional, legal-sounding complaints for airlines, retailers, or brokers. Feed it your story, and it drafts a letter quoting UK consumer law, aviation regulations, and gets you results—no manual stress or legalese required.
- Affiliate hustle: Built a GPT to spin up Reddit coupons and auto-fill money-saving codes, pulling in £2,000+ in food delivery discounts by automating tedious posting.
- Content shortcuts: Created multi-taskers, like the Shorts SEO post generator, that instantly spins out copy formatted for YouTube, Instagram, LinkedIn, and Twitter—all from a simple transcript drop.
- Repetitive writing: Set up automations for client work, from blog briefs to keywords research, so content writers never stare blankly at Google Sheets again.
Seriously, will you ever want to draft that next complaint to British Airways yourself? Didn’t think so.
What makes one custom GPT ‘better’ than another? (And which save the most time?)
Chances are, you’ve tested out basic ChatGPT prompts and been let down by bland, robotic outputs. The difference? Plug in an external API and train your GPT with real data and style—suddenly it’s a power tool.
My “must keep” GPTs:
- SEO keyword research helper: Connects to the Keywords Everywhere API (about $72/year, peanuts for the value), letting anyone—non-technical writers included—run keyword research from a chat. Ask for a country, keyword, or intent, and get live search volumes, PPC costs, competitors, and even suggested titles and meta descriptions.
- SEO content assistant: Ties directly into NeuroWriter (a SurferSEO alternative) using the API, so you get correlation-based content briefs and outlines that nail on-page SEO, without needing a platform login or fancy tool know-how.
Let’s get concrete: No more fake data from ChatGPT’s default model. These setups use live, paid API data, so you get competitor research and a page outline ready to publish—no hallucinations, no time wasted. Learn from AI content systems in practice.
How do you orchestrate multiple GPTs and AI tools for end-to-end content production?
Here’s a pain point: most marketers cobble together 6 platforms and still wind up copy-pasting between tabs. Why not get your custom GPTs talking to each other? That’s where orchestration comes in.
Bulletproof approach:
- Run a keyword research query in your helper GPT.
- Call your SEO content assistant GPT to draft the brief, pulling in the right NLP entities, layout, and examples.
- Pull in a third, client-specific GPT trained on branding docs and tone to write the landing page in correct voice—down to product USPs and compliant financial claims.
- All this, arranged in sequence, so it feels like having a full agency team on “instant email”.
Advanced? You can automate the whole lot in Make.com. Just set your source data in a Google Sheet, and let Make.com trigger the blog creation, keyword research, compliance checks, and content writing every three minutes. Did anyone say ‘assembly line for SEO’?
Can these automations handle complex workflows like e-commerce or regulated industries?
Most AI “writers” crumble when you throw categories, product pages, compliance requirements, or multilingual variants at them. Here’s how to raise your standard:
For a major Australian retailer, I set up an end-to-end automation:
- Reads keywords from a spreadsheet.
- Decides if the content is a product, blog, brand or category page (with branching logic).
- Imports legacy content for deeper context, so outputs aren’t duplicative or out-of-date.
- Runs copy through a compliance module, flagging any claims that could trigger fines (e.g. health supplement regs).
- Gives client-friendly error messages—no more horror when something breaks at 2am.
Time to build? Sure, this beast took 100 hours to wire up, but for 6,000 products and 600 categories, no human could match it. And yes, I sell it, because who actually enjoys setting up 20 branches in an automation workflow?
Why do most people fail with ChatGPT and what does it really take to get client-grade outputs?
Let me guess: you’ve thrown a prompt into vanilla ChatGPT and it spat out generic, fluffy nonsense. Everyone’s done it.
Two mistakes:
- Not training the GPT with your client’s full knowledge base, product docs, and brand voice.
- Not connecting to “live” data APIs—for keywords, compliance, on-page analysis, and more—so you’re left with out-of-date waffle.
If your output feels bland, you’re treating AI like a toy, not a tool. The magic happens when you combine:
- Deep training per client—with all personas, FAQs, and regulations included.
- Proper API integrations so your AI “thinks” like your best competitor researcher, not a B-grade lecturer.
- Orchestrated workflows (custom GPTs calling each other, Make.com piping data in/out) so you can ship 100+ pages, done right, in less time than it takes most teams to hold a stand-up.
Quick wins
- Set up “Karen GPT” to automate complaint letters—train it on UK consumer and sector law for instant results.
- Use Keywords Everywhere API with a custom GPT to skip spreadsheet drudgery and get live keyword suggestions without logging into another tool.
- Draft multi-platform social copy by pasting your transcript into a Shorts SEO assistant—saves time, works for YouTube, Instagram, and LinkedIn.
- Automate content briefs using NeuroWriter’s API—no more hand-crafting outlines for every blog post.
- Turn the entire blog production process into a three-minute Make.com workflow, fed by your master spreadsheet.
- Always train your AI with client voice and up-to-date compliance docs—no shortcuts here.
Ready to move from “I’ll try AI…one day” to actually saving real hours? Buy the NeuronWriter API GPT & Automation bundle mentioned in the video.
Frequently Asked Questions
What’s the fastest way to automate repetitive SEO tasks?
Start by codifying each major step (research, brief creation, writing, compliance review). Build or buy custom GPTs for each, and plug them into one sequence using a tool like Make.com. Always use real APIs for up-to-date results, not just generic ChatGPT prompts.
Can non-technical marketers use these custom automations?
Absolutely. Most of my solutions require only basic instructions (copy/paste, select options in a spreadsheet, simple chat prompts). Template GPTs or bought workflows handle the complexity under the hood—no code or prior tech experience needed.
How do you make sure AI content isn’t generic or low quality?
Train your GPT with the full brand knowledge base, competitor analysis, and actual product documents. Use APIs to pull live data (keywords, compliance updates, on-page requirements) for every output. Review the first few outputs and update the training docs to refine it—80% match is your first milestone.
What if I want to automate e-commerce SEO content at scale?
Set up a workflow that branches by content type: product, category, or blog. Plug in compliance checks, import existing copy for context, and design clear error handling—especially for client-facing dashboards. If you’re overwhelmed, consider templates or done-for-you setups to shortcut the build.
Do I need paid APIs, or can I do it all with free GPT versions?
Paid APIs (e.g. Keywords Everywhere, NeuroWriter) are key if you want accuracy and up-to-date info. Free GPTs can work for generic brainstorming or quick drafts, but you’ll hit a quality ceiling fast if you want usable, client-grade output for high-volume content.
Need help scaling your marketing operations?
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- Discover my AI marketing solutions
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What’s stopping you from replacing your most hated weekly task with an AI that actually does it right?
