Free Training: Build Custom GPTs for Marketing | theCLICK

What you’ll be able to do

Create custom GPTs that write, plan, organize, etc—so you can extend your strategic thinking and chew through your daily to-do list
Reduce cold start (starting from zero each session) and boiled chicken (generic, bland output) by grounding your GPTs in instructions and knowledge
Build two high-ROI GPT patterns: a planning GPT (Content Calendar) and a writing/editor GPT (Draper-style punchy persuasion)
Use Markdown to preserve structure (headings, tables) so the AI reliably follows long instructions
Combine Projects + GPTs so context compounds (offer + persona + plan) and execution becomes fast and consistent

Key terms (quick definitions)

Growth OS: a proven system that helps founders and marketers plan → build → ship business growth campaigns with astonishing speed and quality
GPT (Custom GPT): a purpose-built AI tool with instructions (and optional files) designed to do one job repeatedly and well
Instructions: the operating rules your GPT follows every time you run it (your “built-in prompt”)
Knowledge base: files you attach to a GPT (or Project) so it can reference your source-of-truth materials
Grounding: anchoring output to trusted sources (instructions + files + vetted inputs) to reduce drift and hallucinations
Markdown: a formatting language (e.g., # headings, **bold**, tables) that helps AI understand document structure
@ menu: the in-chat picker where you can call GPT tools (and other connected tools) into a conversation
ChatGPT Projects: an organized workspace that groups chats plus shared instructions and shared files so your work stays grounded and compounds over time

The 3 mistakes that keep GPTs from helping

Tinkering overload: too much tool-hopping creates half-finished work and no compounding advantage
Cold start: you re-explain context every time instead of building a system that remembers how to work
Boiled chicken: the AI is “reasonable” but generic because it isn’t grounded in your business reality

Rule of thumb: build a GPT with clear instructions, show it what “good” looks like, and attach the minimum files needed to ground it.

GPTs vs Projects (how to structure your workflow)

GPTs (Custom GPTs)	ChatGPT Projects
Tool you pick up to do a specific job (plan, write, summarize, generate hooks)	Workspace / container for a big initiative (e.g., Marketing, Podcast, Product Launch)
Has instructions + optional knowledge files	Has shared instructions + shared files across all threads in the Project
Best for repeatable, narrow tasks (your “hammer”)	Best for compounding context and organizing work over time (your “intelligent folder”)
Use via the @ menu inside any chat	Do the work inside the Project so it stays grounded in offer + persona + plan

Best practice: plan inside a Project, then call GPT tools (Content Calendar, Draper) at the moment you need them.

Build your first Custom GPT (setup checklist)

Use a meta prompt to generate draft GPT instructions (purpose → required context → process → “what good looks like”).
Paste the draft into Google Docs and refine the structure, headings, and any tables until it’s exactly what you want.
Enable Markdown (Tools → Preferences → enable Markdown), then Copy as Markdown.
Open ChatGPT → Explore GPTs → Create and use the Configure screen (not the “chat-to-build” screen).
Name + describe the GPT, then paste the Markdown instructions into the Instructions box.
Attach files to the GPT’s knowledge base if needed (persona, offer, plan, examples).
- If the GPT is generic by design (e.g., writing voice), you may not need files.
- If the GPT must be business-specific (e.g., your content calendar), attach grounding files.
Choose a model: use a thinking model for planning/strategy, use a faster model for quick drafts.
Use it in workflow: in any chat, hit @, select the GPT, run it, then dismiss it when done.

Minimum viable GPT instructions: Purpose + Required Context + Process + One example of “what good looks like.”

FAQ

What is a Custom GPT?

A Custom GPT is a purpose-built tool with instructions (and optional files) that runs a repeatable workflow—so you don’t have to re-prompt or reinvent the process every time.

Do I need a paid ChatGPT plan to create GPTs?

Typically yes—creating Custom GPTs is a paid feature. You can still use Projects on a free plan, but GPT creation generally requires a subscription.

What should I include in GPT instructions?

Start with Purpose, then Required Context, then the Process. Finish by showing an example of exactly what “good output” looks like.

Why does my GPT still feel generic?

Generic output usually means weak grounding. Improve your instructions, add “what good looks like,” and attach the minimum knowledge files needed for that GPT to do its job.

What files should I add to a GPT’s knowledge base?

Add files that define the truth: your offer, your persona, your plan, and any examples you want it to mimic (tables, formats, best-performing copy).

When should I use a thinking model vs a fast model?

Use a thinking model for planning, strategy, and calendars. Use a fast model for quick drafts, rewrites, or lightweight tasks where speed matters.

How do I use a GPT inside my normal workflow?

In any chat, hit @ and select the GPT like you’re grabbing a tool. Run it, get the output, then dismiss it when you’re done.

How do Projects make Custom GPTs work better?

Projects can hold shared files and instructions (offer + persona + plan). When you call a GPT inside a Project, it can operate with richer context and produce better results faster.

Build Custom GPTs for Marketing

What you’ll be able to do

Key terms (quick definitions)

The 3 mistakes that keep GPTs from helping

GPTs vs Projects (how to structure your workflow)

Build your first Custom GPT (setup checklist)

FAQ

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