I use AI every day.

It’s become part of how I work as a fractional CMO, especially when I’m moving between different clients, time zones, and priorities in the same week.

Used well, it’s a genuine advantage. It helps me sense check early thinking, move faster on first drafts, and protect time for the work that actually needs senior attention.

And when it gets things right, it can save a significant amount of time.

But every so often it produces something that sounds incredibly convincing and is, unfortunately, completely wrong.

Not slightly off. Not something that just needs polishing. 𝗏𝗫𝗨𝗩𝗞𝗤𝗲𝗥𝗟𝗬 𝗐𝗥𝗨𝗡𝗚.

That’s the bit I think more people / businesses need to stay alert to.

AI is now polished enough that it feels trustworthy at first glance. The structure looks smart, the tone reads well (enough), and what appears to be the “answer” arrives in seconds.

When you’re operating at pace, it’s very easy to take that at face value.

In fractional life, judgement becomes even more important. I’m often stepping into businesses at pace, across different growth stages, with limited time to waste. AI helps me move faster, but it never replaces the need to apply context, commercial reality, and experience over the top.

Used properly, it’s a brilliant accelerator.

But it still needs someone in the room who knows what they’re looking at.

Use it, by all means.

𝗉𝘂𝘀𝘁 𝗝𝗼𝗻’𝘁 𝗵𝗮𝗻𝗱 𝗼𝘃𝗲𝗿 𝘆𝗼𝘂𝗿 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀.

#AITips #AIinMarketing #FractionalCMO

My manager sent the email on a Thursday afternoon.

“We need a marketing campaign by the end of the month. You’re leading it.”

No agency. No budget. No marketer on the team.

Only me. I stared at his message for a long time.

Then I did what every IT person does when they don’t know something — I started Googling. One tab turned into twenty. And that’s how I stumbled into the world of artificial intelligence in digital marketing.

I had no idea what I was getting into.

Here’s what actually happened.

𝗛𝗼𝘄 𝗱𝗼 𝗜 𝘂𝘀𝗲 𝗔𝗜 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗹𝗼𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗵𝘂𝗺𝗮𝗻 𝘁𝗼𝘂𝗰𝗵?

This was one of the questions for today’s Founder Coffee: AI x Growth.

Let’s start here:

AI doesn't sound robotic because it is AI.
It sounds robotic because it lacks human direction.

AI-generated content can be spotted quickly.
Most often, it comes down to two key reasons: not having a strong sense of what good writing sounds like and not being clear on your own voice.

Three things you can do today:

𝟭. 𝗗𝗲𝗳𝗶𝗻𝗲 𝘆𝗼𝘂𝗿 𝘃𝗼𝗶𝗰𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝗱𝗲𝗹𝗲𝗴𝗮𝘁𝗲 𝗶𝘁
If you want AI to sound human, start with your own tone of voice.
How do you actually sound with clients, partners, or your community?
Clear? Warm? Direct? Strategic? Thoughtful?
AI can't reflect a voice you haven't defined.

𝟮. 𝗚𝗲𝘁 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗴𝗶𝘃𝗶𝗻𝗴 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝘀
In addition to sharing strong examples, explain exactly what you want, step by step.
You’d be surprised how often AI misses the mark not because it's incapable, but because the direction wasn't specific enough.
Just like with people, the quality of the result depends on how well you communicate.

𝟯. 𝗞𝗲𝗲𝗽 𝗵𝘂𝗺𝗮𝗻 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗹𝗼𝗼𝗽
AI can produce a strong draft.
But you are the one who decides what should go out and what's missing.
That's one of the reasons why, in AIMAR, we keep a human layer for approval and process management.

So maybe the better question is not how to use AI without losing the human touch, but how to lead AI to amplify it.

I spent a week testing AI tools to help me come up with post ideas and even drafts for IG/TikTok. Some tools felt robotic, others surprisingly human. The weird part? The posts I thought would not do good actually performed the best, and the ones I spent hours perfecting got ignored. Has anyone else tried using AI to plan content? What actually helped you, and what felt useless?

I’ve been experimenting with different AI tools for writing and content creation this year.

They definitely help produce content faster, but I’m noticing a big problem — the brand voice becomes inconsistent across platforms like blogs, emails, and social posts.

Sometimes the tone changes a lot depending on the prompts or the tool used.

I’m curious how others deal with this.

Do you have a workflow, prompt structure, or system that helps keep everything consistent?

Been experimenting with AI for marketing over the past year and the biggest shift for me was stopping the one-prompt-one-output approach. Most people open ChatGPT, type something, get something mediocre, and conclude AI is overhyped for marketing. The real unlock is chaining prompts together — using the output of one as the input for the next.

Quick example: I start by having AI interview me about my customer's frustrations (not their demographics, their actual language). Then I use that output to write the ad. Then I run the ad copy through a "devil's advocate" prompt that pokes holes in it before I publish.

The result is copy that sounds like a customer wrote it, not a robot.

I have been doing digital marketing for 12 years and only in the last 18 months has AI genuinely changed how I work at a strategy level, not just a speed level. I am running a live online workshop on March 22 for anyone who wants to see the full workflow in real time.

It is ₹199 and covers four areas: copywriting, competitive research, customer intelligence, and building a repeatable AI system. Recording included. Happy to answer any AI marketing questions in the comments regardless. Let me know if you are interested.

I tested 40+ AI tools for marketing over the last 6 months.

Most are garbage. Some are decent. A few completely changed how I work.

Here is the honest breakdown of what I actually use now (and what I stopped using):

𝗙𝗼𝗿 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗮𝗱 𝗰𝗼𝗽𝘆: Not ChatGPT. I use Claude. The output needs 80% less editing. Especially for long-form landing pages and email sequences. ChatGPT is fine for brainstorming, terrible for final copy.

𝗙𝗼𝗿 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Not any paid tool. Perplexity Pro. Ask it to pull positioning, pricing, and messaging from any competitor's website, and it gives you a structured brief in 2 minutes. I used to spend half a day on this.

𝗙𝗼𝗿 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲𝘀: Not Canva AI. I go between Ideogram for static visuals and Runway for short video. The quality gap between these and Canva's AI features is massive.

𝗙𝗼𝗿 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴: Not a spreadsheet. I feed one content pillar into Claude using my brand voice doc, and it generates 30 days of platform-specific posts. LinkedIn, Instagram, Twitter. Different formats, different hooks, same core message.

𝗙𝗼𝗿 𝗹𝗮𝗻𝗱𝗶𝗻𝗴 𝗽𝗮𝗴𝗲 𝗮𝘂𝗱𝗶𝘁𝘀: Not a checklist. I screenshot the page, drop it into GPT-4o or Claude with a specific CRO prompt, and get a section-by-section teardown with prioritized fixes. Faster than any consultant.

𝗙𝗼𝗿 𝗦𝗘𝗢 𝗮𝗻𝗱 𝘀𝗲𝗮𝗿𝗰𝗵 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆: This is where it gets interesting. Google is not the only search engine anymore. AI tools like ChatGPT, Perplexity, and Gemini are becoming discovery platforms. If your brand does not show up there, you are already invisible to a growing segment of your audience.

Most marketers I talk to are using one tool for everything.

That is like using a hammer for every job. It works on nails. It destroys screws.

The real skill in 2026 is not "using AI." It is knowing which tool to pick up for which task.

I am putting together something for marketers who want to see these exact workflows in action. Not a course. Not a PDF.

If you want to get access, comment "AI Stack" below or DM me directly, and I will DM you the details.

Please follow/connect so it will be easier for me to DM you!

Knowing which AI to use is now a marketing superpower.



Most people just pick ChatGPT for everything. Smart marketers match the tool to the task, and that changes everything.

Here is how I use each one in my workflow as a Digital Marketing Specialist and Social Media Manager.

ChatGPT is my strategic operator. Great for brainstorming campaign ideas, automating workflows, and daily content execution.

Claude is my writing expert. When I need deep analysis, long-form copy, or polished ad scripts, this is my first call.

Gemini is my visual brain. Perfect when working inside Google tools or handling image and data tasks in one place.

DeepSeek is my logic thinker. Precision math, technical problem solving, and budget calculations for ad campaigns.

Perplexity is my research engine. Before I launch any campaign, I use it to gather market data, trends, and competitor insights.

Grok is my real-time pulse. When I need to know what is trending right now before crafting social content, this is where I go.

As someone who runs paid ads, manages communities, creates Canva graphics, and converts leads into actual sales, I am not loyal to one AI. I am loyal to results.

The marketers winning in 2026 are not the ones who simply know AI exists. They are the ones who know which AI to deploy, when, and why.

Are you using the right tool for the job? Drop your favorite in the comments.
Repost this if it helped. Your network needs to see this.


Omisanya Ifeoluwa
The brand behind the brand

My mom asked me how I use AI at work.

“For everything” wasn’t a very helpful answer. 😅

So I typed up these steps I often go through (this specific list was for creating web pages, but the process is often similar for other deliverables).

Nobody asked except my mom 😉, but here is my process:


WRITING WEB COPY WITH AI

1. Start with my brain: no AI yet
Dig up existing documents on the topic I need to write about, jot down notes that come to mind, review competitor pages, roughly map page structure...

2. Generate a first draft with AI
- Have AI make a “web page copy brief” based on my notes/outline, plus our Domo product positioning doc
- Using that brief, generate a first draft of the page via a Web Copywriter Agent I made
- Go back & forth with the agent to iterate on messaging

3. Switch into research mode with AI
To confirm I’m on the right track, switch gears and use:
- Gemini’s Deep Research Agent for additional market & competitive context
- My own Voice-of-Customer Agent trained on real customer comments

4. Go back and critique the draft with AI
Feed those findings back into the Copy Agent. Ask it to critique the draft against things like market direction, analyst framing, and customer language. Make adjustments accordingly.

5. Critique the draft with humans
Align with PMs and other stakeholders, and refine again.


I find the best outputs come when I alternate between using AI for creation and critique.

I like breaking the project up into several steps, wiping the context between chats, and using my *very own human brain* heavily throughout the process.

It takes more time, but I think it’s worth it. :)


Any other favorite AI tricks I should add to the list? (It’s for my mom, I promise !!)

I run a small B2B agency and was trying to automate most of my work, writing ad copy, creating social content, get insights from performance data faster

so three months ago I decided to test every AI marketing tool that promised to "save time" or "automate" something meaningful

I spent $1,847 and gave each one a real 4-week trial on active campaigns

The pitch is always the same: AI writes your copy, designs your graphics, analyzes your data, generates insights- you just review and publish

that's not how it actually works, and I'm gonna be specific about why most of these tools are time-sinks pretending to be time-savers

Profound ($600/month): I tested it because my CMO saw a demo and it looked incredible. The dashboard is genuinely beautiful. I ran an analysis of our top-performing campaigns and it spit out attribution models that looked scientific. Then I manually checked the numbers and they didn't match our actual conversion data. Spent 8 hours trying to understand their methodology before support went silent when I asked direct questions. Killed after week 2.

Canva Magic Studio ($13/month): This one actually worked, but not how I expected. I thought I'd describe a campaign and it would auto-generate everything. In reallity it's a much better design tool than Canva was before, with some smart templates. But I still had to brief it properly, review every output, and fix copy. Time saved: maybe 20 minutes per week if I'm generous. Still paying for it because the design quality is legit, but it didn't change my life tbh

HubSpot's AI Features (included): The subject line generator works okay for email. The content assistant is surface-level. If you're already paying for HubSpot, sure, click the AI button- but it's not a reason to use HubSpot

Notion AI ($10/month): This one surprised me. I actually use it every day for things that aren't "AI magic." I use it as a CRM, a content calendar, and yeah, sometimes the AI fills in database fields or generates first drafts. Never once saved me hours. But the system itself (Notion, not the AI) reduced context-switching because everything lived in one place

Zapier (free tier): This is the one that actually moved the needle for me. It connected my existing tools so I wasn't manually copying data between systems. One workflow: new lead in my form, auto-filled contact in Notion, auto-triggered email sequence. Setup took 90 minutes and saves maybe 5 hours per month, pretty good!

Ryze AI ($49/month): They promise "AI that watches your ad campaigns and gives advice." What you get: alerts when performance drops, and a chatbot that gives obvious advice. Is your CTR down? "Try improving your ad copy or targeting." Unsubscribed after the trial

AI tools save time at the margins, not the fundamentals

they make a small job slightly faster. They don't eliminate 4 hours of work

the real time-saver was hiring a part-time person to do data entry and basic copywriting ($1,200/month)

that moved the needle way more than all six tools combined. But that's the honest conversation nobody has because there's no commission on recommending hiring someone