{"id":3669,"date":"2025-10-07T11:00:02","date_gmt":"2025-10-07T11:00:02","guid":{"rendered":"http:\/\/www.zoomlavilin.com\/?p=3669"},"modified":"2025-10-09T13:11:32","modified_gmt":"2025-10-09T13:11:32","slug":"how-to-create-ai-prompts-that-eliminate-bias-and-increase-conversions","status":"publish","type":"post","link":"http:\/\/www.zoomlavilin.com\/index.php\/2025\/10\/07\/how-to-create-ai-prompts-that-eliminate-bias-and-increase-conversions\/","title":{"rendered":"How to create AI prompts that eliminate bias and increase conversions"},"content":{"rendered":"

AI usage is on the rise, especially in marketing. Data from HubSpot\u2019s AI Trends in Marketing report showed that 74% of marketing professionals use AI<\/a> for their work. With so many marketers using AI, it is important to acknowledge and solve for its known limitations, particularly the biases that are baked into it<\/a>.<\/p>\n

\"Download<\/a><\/p>\n

As an inclusive marketing strategist and consultant, I am trained to recognize bias when I encounter it. Whenever I review materials and campaigns for clients, I evaluate whether bias, cultural insensitivity, or inappropriate messages have crept into the communications.<\/p>\n

But, most of the marketers I\u2019ve come across either don\u2019t yet have this skillset or are actively working on developing it. Many often don\u2019t pick up on biases AI produces, which could prove detrimental to marketing efforts and brand reputation if published in the market.<\/p>\n

To help you use AI more responsibly and effectively, I\u2019ve created some prompts to help you cut out bias. Let\u2019s dive in.<\/p>\n

The Fundamental Question for Converting More Customers<\/h2>\n

Before we get into actual prompts, it’s useful to ensure you are grounded in the fundamental question consumers (especially those from underrepresented and underserved communities) are asking.<\/p>\n

As consumers evaluate whether or not your brand is right for them, they are seeking to answer this question, either consciously or subconsciously: Is this product for someone like me?<\/p>\n

Every part of your customer journey serves as an input to producing an answer to this question.<\/p>\n

So, if any aspect of your customer journey features bias, you\u2019re signaling to potential buyers that \u201cthis product isn\u2019t for someone like you.\u201d In most instances, that signal isn\u2019t one the brand intends to send.<\/p>\n

Now, let\u2019s focus on how you can use AI to let your audience know that \u201cthis is for you.\u201d<\/p>\n

Joyann Boyce is an inclusive AI expert and founder of Inclued AI, a tool that helps marketers with inclusive communication. She told me that it is helpful to think of AI as a very well-trained puppy.<\/p>\n

She explains, \u201cIt\u2019s like someone has already house-trained the puppy. And, they\u2019re going to give it to you, and you\u2019re going to customize it to your home.\u201d<\/p>\n

Customizing your well-trained AI puppy means training it to ensure it communicates with your customers in a way that draws them closer to you, rather than pushing them away because of any bias.<\/p>\n

Have a listen to the full conversation with Joyann Boyce on this episode of the Inclusion & Marketing podcast.<\/p>\n

How to Get AI to Help You Identify and Remove Bias<\/h2>\n

While AI systems can inadvertently perpetuate biases present in their training data, they can also serve as powerful tools for detecting and mitigating bias in human decision-making processes.<\/p>\n

By leveraging AI’s ability to analyze patterns and flag potential inconsistencies, you can create more objective evaluation frameworks and uncover blind spots that might otherwise go unnoticed.<\/p>\n

Give the right context.<\/h3>\n

Start by providing your AI tool with clear context about its role and perspective. Specify exactly what persona or expert viewpoint the AI should adopt, and define the particular lens through which it should analyze your content when giving feedback.<\/p>\n

Right from the beginning, I like to tell my AI collaborators that it is a highly skilled, inclusive marketing strategist.<\/p>\n

That works from a general standpoint for reviewing content on the whole and for broader audiences. However, if you want to be even more specific about the type of feedback you are looking for, tweak the context for that point of expertise.<\/p>\n

Let\u2019s say you want to understand whether an ad has bias toward consumers over the age of 50. You can prompt your AI companion to review the content through the lens of a marketing expert who has expertise in that consumer base.<\/p>\n

As an example, I asked AI to review a web page about anti-aging products. I asked it to act like a marketer who specializes in reaching consumers over 50. The AI could then use that foundation to give me helpful feedback.<\/p>\n

\"AI<\/p>\n

Here is the first part of the feedback it produced about language that was ageist and lacked inclusivity:<\/p>\n

\"ai<\/p>\n

Here are the recommendations AI gave for how to improve the copy to make it more inclusive:<\/p>\n

\"AI<\/p>\n

The goal is to prevent publishing content that already has bias in it. However, there will be times when you\u2019ll need to reevaluate and improve on something that is already in the market.<\/p>\n

So, here is a prompt to help you when creating new content, and one to help you improve what has already been produced.<\/p>\n

Prompt for Reviewing<\/h4>\n

You are an inclusive marketing strategist who specializes in marketing to consumers over the age of 50. Please review these headlines, and let me know if there is anything I should be aware of that would rub consumers who are interested in the product the wrong way. I\u2019m particularly interested in anything that would be offensive, culturally inappropriate, or just not inclusive.<\/em><\/p>\n

Prompt for Creating<\/h4>\n

You are a copywriter who specializes in marketing to consumers over the age of 50. Please brainstorm 10 headlines for this skin care web page that deliver on our product goals while making our ideal customers, including people over the age of 50, feel seen, supported, and like they belong with our brand.<\/em><\/p>\n

Give it specificity about your consumer.<\/h3>\n

One of the challenges that many marketing communications face when it comes to being inclusive is that the brand hasn\u2019t effectively defined its ideal customer.<\/p>\n

For instance, a brand might say they are targeting \u201cwomen aged 25-34 who are looking to advance their careers.\u201d However, even though there is specificity about age, gender, and even aspirations, there is still so much context missing that could influence the way the consumer receives messages you create from them.<\/p>\n

As such, when working with AI, avoid treating it like it is talking to a general market audience. Instead, provide your AI companion with additional details about who you want to communicate with. This will help it better tailor its messages to the audience you are targeting.<\/p>\n

So, instead of saying you\u2019re creating landing page copy for \u201cwomen aged 25-34 who are looking to advance their careers,\u201d add in details about their identities. That additional information will support your AI companion in crafting messages that have less bias.<\/p>\n

Some of the identity-based details about your ideal customer to include in your prompt could be:<\/p>\n