GPT-5 for Marketers: What Got Better + Prompts to Try
GPT-5 is like having a team of PhD-level experts in your pocket helping you with whatever you want to do
GPT-5 is finally here. I don't usually do a recap post because there will be so much hype about this launch... but... It's GPT-5 and I've been waiting on it all year.
First, Sam Altman stole Apple's line to introduce the podcast:
"It's like having a team of PhD-level experts in your pocket helping you with whatever you want to do." — Sam Altman"
Also, this is an important tweet from Sam
GPT-5 is not a new paradigm shift for Artificial intelligence. It does not feel closer to AGI. But, this tweet would suggest that wasn’t the core focus of this new model.
Well, let’s dive in, here's a breakdown of what improved and how to leverage it for marketing & growth.
1. Unified Reasoning + Speed
What got better
GPT-5 merges the fast responsiveness of GPT-4o with the deeper, more deliberate reasoning of previous ‘thinking’ models all in one unified model.
This is huge.
Using ChatGPT used to be confusing. Should you pick the fast model or the smart one? Now, you don’t have to choose. GPT-5 reads your request and decides how much thinking it needs to do fast when it can, deep when it should.
Here’s how it looks
Now, I LOVE o3. I would be upset if I lost my good friend o3. Luckily for Pro users, you can turn legacy models back on in the settings.
Why it matters
You can brainstorm campaign ideas instantly, or go deep on market strategy without switching models.
Prompt to try
“Give me 3 high-leverage growth experiments for a mid-stage B2B SaaS company targeting CFOs and briefly explain why each could work.”
Why this prompt highlights the feature
This blends tactical and strategic thinking. GPT-5 needs to understand your ICP, company stage, and come back with useful, reasoned ideas fast. Previously, you'd have to choose between “speed” or “depth.” Now you don’t.
Remember, you can log data into ChatGPT memory to recall in future prompts. As an example, in the above prompt, you could have called variables like: {Audience} for your ICP - #add a description of your audience/ICP
2. From Content Downloads → Code-Powered Experiences
What got better
GPT-5 is the most capable front-end coding model OpenAI has released. It can generate full UIs, dashboards, tools, and interactive apps from a single prompt with clean code, strong design taste, and built-in reasoning.
Why it matters
We're moving from marketing that creates content assets (like whitepapers and webinars) to marketing that delivers code-powered experiences e.g. tools, freemium apps, demos, dashboards. GPT-5 makes that leap accessible to marketers, not just engineers.
The big shift
As I wrote in a previous post
“The cost of code is plummeting thanks to AI. In this world, the best marketers become builders. People don’t want a PDF they want a custom piece of software that delivers on their specific need.”
So now:
Instead of a gated whitepaper → you build a live dashboard
Instead of a product video → you build an interactive demo
Instead of a nurture sequence → you build a real onboarding assistant
And GPT-5 actually builds these things for you.
Prompt to try
“Build an interactive lead magnet for a marketing agency. The tool should ask for industry, monthly budget, and goals and generate a personalized growth plan based on that input. Include a lead capture form that appears before showing results.”
Why this prompt highlights the feature
It blends UX, personalization logic, and design and GPT-5 handles it end-to-end. You get a usable, high-quality experience that would have taken a frontend team days to build.
3. Expert-Level Instruction Following
What got better
Multi-turn instructions are handled with better consistency and clarity. GPT-5 performs better on long, specific, and nested instructions than any previous model.
Why it matters
You can now ask for entire strategies, docs, or workflows and trust it won’t get lost halfway through.
Prompt to try
“Create a 90-day GTM plan for launching an AI-powered marketing tool. Include phases, top channels, example campaigns, and success metrics.”
Why this prompt highlights the feature
This requires breaking down a multi-phase launch with strategic reasoning, examples, metrics, and formatting exactly the kind of multi-step, high-context prompt GPT-5 now excels at.
4. Massive Context Window (400K Tokens)
What got better
GPT-5 supports up to 400,000 tokens in one prompt double that of GPT-4o (wow). That’s the equivalent of hundreds of pages of text (double wow).
Why it matters
You can now feed entire datasets, interviews, CRM data, or campaign retros into one session for synthesis.
Prompt to try
Step 1: Paste in your input — for example:
3 months of campaign briefs and results
Sales call transcripts
Win/loss notes
MQL → SQL → Close funnel metrics by week
Step 2: Run this prompt:
“Based on everything above, what are the top 5 patterns affecting our pipeline quality? Show what changed over time and call out key moments. Include potential causes and 3 actions we could take.”
Why this prompt highlights the feature
You’re giving GPT-5 a real strategic workload reading long-form inputs and delivering executive-ready takeaways. Previous models would forget earlier context.
5. Agentic Tool Use + Reasoning Chains
What got better
GPT-5 is now far better at multi-step reasoning and autonomous execution. It explains its logic, debugs when needed, and can improve its own output over time.
Why it matters
This unlocks full AI workflows: market research, content ops, analytics pipelines even debugging code live.
Prompt to try
“Here are 10 recent LinkedIn posts from competitors [paste them below].
Summarize the most common hooks and formats they’re using.
Then generate 5 LinkedIn posts for my product that mimic those styles but speak to [ICP or value prop]”
Why this prompt highlights the feature
This is not a one-and-done task. It requires planning, multi-step logic, tool use (e.g. synthesis, and creative generation) exactly what GPT-5 is now able to do in a single chain.
6. Voice + Multimodal Superpowers
What got better
Voice is more natural than ever and now available to all users. GPT-5 also handles visual input (images, screenshots, data) with greater speed and reasoning.
Why it matters
You can now talk to GPT-5 like a creative partner get feedback on visuals, brainstorm faster, or interact with reports on the go.
Prompt to try (spoken)
“I’m rewriting my homepage (upload image of homepage). Can you critique this line and offer 3 better versions that target CFOs looking to reduce SaaS spend?”
Why this prompt highlights the feature
This shows off both voice + domain understanding. You’re testing whether GPT-5 can think fast and smart with creative and commercial instincts. (It can.)
What are the early takes on GPT-5?
A lot of the chatter after the launch was on this poorly formed chart .. :) not a great moment for the PMM team.
The sentiment on GPT-5 is mixed. To me, the most significant part of the launch was it’s available in FREE. I do believe having all models collapsed into one is an important part of the launch as it makes it easier for the average user to use.
Key points:
Free access for nearly a billion people is the biggest story a far more capable model in everyone’s hands.
Better coding performance (notably on the SweBench Verified benchmark) positions GPT-5 as a strong competitor to Anthropic for developers.
Slightly fewer hallucinations, though factual errors still occur ~5% of the time.
Context window only modestly expanded, far smaller than Gemini’s 1M tokens.
Gains in multimodal reasoning (charts, tables) and some science benchmarks, but no huge jumps in many other core evals.
Translation and language skills unchanged from GPT-4o.
API pricing is very low, undercutting rivals.
Many older models are being deprecated for non-Pro users.
Available to everyone today!
Until Next Time,
Happy GPT-5 day
Kieran