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Adekunle Dayark

Adekunle Dayark

Avoid alligator selling; give your marketing system a strong process.

B2B-Deliver remarkable marketing; expose feeble processes.

6 min readAug 21, 2026

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As a B2B business owner, your advantage is no longer having AI.

AI doesn’t know your customer; you do. Or at least, you should.

Because your competitors can now produce the same volume.

Your advantage is knowing what to tell it to generate and how.

Even when blood, sweat, and tears were put into an asset.

it’s still gets skepticism about having a tool behind its Polish.

In marketing, sales, persuasion, and negotiation, the customer or

audience is an important factor that determines key results.

AI-generated content is not bad;

Ignoring human touch, customer feedback, and long-term consequences is

what breaks the mold and marketing standards.

Why AI content loses trust

Generating messaging with AI without proper editing and simplifying is what builds

churn across the CRM because AI doesn’t know your customer;

It only has a prompt that was probably copied from a top influencer who doesn’t even know your niche.

What is called great AI content is not tools or different LLMs

But processes, frameworks, and manifestos.

A better result is not enough if your customers are confused and can’t connect with your brand.

Doing it poorly has a negative effect on AI messaging, your products, services, and customer feedback.

Why customer research matters

In most cases the research process is sidelined when using AI, which causes people to show up and throw up.

This can also lead to alligator selling, which is big mouth, little ears.

It causes marketers to send thousands of DM to users, which can lead to spamming.

When marketing doesn’t achieve the goals, how can sales get the right target of leads to contact?

It is a game of numbers and strategy, and having the right message for your sales process is the only way for better results and customer transformation.

Compromising between quality, quantity, and consistency is what the new-age creator has to deal with, coupled with competition.

The result is usually long blogs generated by AI, which get questions that the creators cannot answer.

Because they were created for validation and consistency, in turn, label questionnaires as difficult.

If the process of knowing the customer and products is not based on research fields, it is hard to call the sets yours.

AI can develop Text-based content, but it is just a tiny bit compared to what it can do in helping creators develop marketing materials.

Beyond the ability to boost visual imagery in ways that were not possible.

It can simulate human appearance and behaviors to the point of creating realistic and engaging clips.

We can call it the key to the future of content creation; it is crucial to have a strategic approach and process when using it because the future is now.

How AI should fit into marketing systems

There are four elements every marketer must pay attention to, including:

1)Analyzing customer behavior in order to understand your audience, strategy, and feedback.

So you create the content that truly resonates with your headings for better results, while solving their problems.

2)Search engine algorithms are continually evolving, and staying on top of these changes is important.

Optimizing for such engine optimization for every business owner in the B2B business world

3)The performance of both your content and the AI you use in curating content becomes a thing of importance in analyzing campaign results.

4)While AI is a powerful tool, it is crucial to ensure the content and message maintain a human touch.

Maintaining authentic and engaging content helps connect with prospects.

And it’s not just machine talk but stories, relatable scenarios, and case studies that allow the audience to connect better.

Thereby boosting your marketing team’s efforts.

It is very important to review and read every AI generated content.

Learning to strike the right balance between automation and human involvement

so you can create content that resonates with the audience.

And establishes a strong brand connection is crucial for successful marketing prowess.

Prompting frameworks the best suits b2b models

AI represents a paradigm shift, but understanding how to craft effective prompts with a process behind the data is what gives you the wild card.

This is the secret to getting the full potential of this great technology.

Crafting prompts is the starting point; prompt engineering must be incorporated into

a larger framework to get real top-tier results.

This involves building a system, setting goals, understanding your target market,

and iterating based on reviewing outputs.

So you can transform AI from a novel toy into a strategic asset for business and brand goals.

You must know your use cases.

What are you defining?

What are you starting?

What problem do you solve?

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And AI can’t give that to you without a process of communication.

So if AI shouldn’t replace the strategist, what should it do?

It should become the strategist’s assistant.

These are just 3 of over 8 or 10 types of prompting that can assist B2B businesses.

And can use to structure the conversation for the best results from marketing endeavors while using artificial intelligence to generate their messaging.

1) D.I.C.E

This framework enables marketers to transform their AI workflows into strategic assets, driving conversions and increasing engagement.

D stands for define

Here you need to tell it what you want it to do.

Generate content to answer questions and offer suggestions.

So that it can help you clarify your goals, which will help you begin crafting your prompt

I stands for identify.

Your research face determine the result you get in this phase.

Because you need to use the understanding of your established persona to shape

artificial intelligence prompts.

This helps to make sure that your responses align with the audience context.

So that you can enhance relevance and engagement across multiple messages.

C stands for craft

This step involves you crafting the actual prompt; it is important to be explicit and clear.

Using a fake AI prompt might produce mediocre results.

Experimenting with different formulations can help you achieve your desired outcome.

E stands for evaluate and refine.

If you want to construct this properly, revisit your goal, context, and prompt of the AI lens .

Especially from training data patterns, not prior interaction, so process

includes necessary information as needed.

2)Layered prompting

This involves giving the AI a basic prompt, then refining and adding layers of complexity based on responses and results.

This could involve added instructions or examples so that you can give context that can guide the AI to more new and detailed outputs.

This type of prompting requires multiple iterations so that you can get desired results.

Each prompt is built on the AI’s response, guiding it towards a more detailed and nuanced output.

3)Feedback loop prompting

When using a feedback loop from the team after an initial prompt

Yeah, the output is assessed, and specific feedback is given and incorporated into the next prompt.

This feedback might involve adjustments to tone, style, content, focus, or the hero process. When repeated a few times can significantly improve the quality of the final output.

It takes up to 3 to 5 prompts to achieve a better result.

Some other types of prompts are in the link to the sources that I’ll be sharing at the end of this article.

Tools Don’t Replace the Thinking

These aren’t substitutes for customer research. They’re tools that can help operationalize what you’ve already learned and measured.

These tools allow personalization better than ChatGPT or Claude

because you can measure and track what works in real time.

Copy and content AI by Jim Edwards

Click funnels Russell Brunson

Human quotient by Tim O’Brien

Not influencing any of these, but judging based on the track record of their builders and the trust I have in them as marketers with experience.

I have seen some in action in real life on webinars and YouTube presentations with testimonials that can’t be bought.

Conclusion;

Don’t ignore AI, but learn to use it to best serve your business and customers.

Thanks for the read!

Book a Consult

Consult a conversion copywriter and operations manager for your marketing system updates.

To make sure B2B businesses use negotiation, customer research, AI, and messaging systems to create marketing that converts, not just content that gets attention.

I write about business systems, marketing, negotiation, and AI workflows that help B2B businesses communicate more clearly and convert more consistently.

Drop a comment or send me a message to @dayarkwrites_8 on Instagram today, and I will reach out to you.

If that interests you, follow me for the next article every Friday.

In rhymes, my solace resides when I get bored with marketing and AI systems, so every Wednesday I share poems that might resonate with anyone in the universe as I learn more about Poetry.

Source for a deeper read

Free training: Boost your AI skills and improve conversions(HubSpot)

Avoid sloppy messaging; leverage better delivery for customer transformation.

By Tim O’Brien

Think strategically, deliver better results.

By srgg6701

Your one-way ticket to building marketing agents without coding

By Shane Collins

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