Generative AI is a transformative technology that is redefining possibilities in marketing. You've likely heard how it can automate content creation, enhance data analysis, and even power chatbots for customer interactions.
But what if we told you a wealth of untapped potential is waiting to be explored?
Consider this your guide to unlocking the full spectrum of possibilities that generative AI has to offer.
In this article, we delve beyond the obvious applications of generative AI, taking you on a journey through some innovative tools and unconventional use cases that can revolutionize your marketing strategies. Whether you're a seasoned marketer looking to push the boundaries of creativity or a newcomer eager to harness the power of AI, we hope you learn something new and unexpected.
1. User Testing Using Large Language Models
Did you know you can use large language models (LLMs) to test marketing and product ideas by creating realistic user personas and scenarios?
If you input specific details and preferences into the model, you can generate virtual user profiles that mimic your target audience. Those personas can then be used to simulate user interactions with your product or website, allowing you to test different features, interfaces, or content through the eyes of various user types. The AI-generated personas can provide nuanced insights into how different user segments might engage with your platform, helping you make informed design and functionality decisions.
Also, LLMs can assist in generating user feedback and responses. During user testing, you can simulate user interactions with your product or service by inputting prompts or tasks into the model. The AI-generated responses can emulate real user feedback, allowing you to assess how users might react to specific features or design elements.
Moreover, LLMs can provide diverse perspectives and scenarios, helping you identify potential issues, pain points, or usability improvements that might not have been apparent through traditional user testing alone. Integrating LLMs into your user testing process allows you to accelerate testing cycles, gather a wider range of user insights, and make data-driven refinements to enhance the overall user experience.
Check out tools such as syntheticusers.com and www.opinio.ai for more.
2. Competitive Analysis Using ChatGPT
ChatGPT is surprisingly helpful with competitive analysis. The best way to use it is to define your main competitors within your industry or niche clearly.
First, identify direct competitors (those offering similar products or services) as well as indirect competitors (those addressing similar customer needs but through different means). Next, outline your specific objectives for the competitive analysis. What do you aim to learn? Are you interested in understanding their content strategy, social media presence, pricing strategies, or customer reviews? Defining your objectives will guide your interactions with ChatGPT and help you extract relevant insights.
To effectively use ChatGPT, prepare a list of queries or prompts tailored to your objectives. For instance, if you want to analyze a competitor's content strategy, you might ask questions like, "What types of content does [Competitor X] regularly publish, and how often?" or "What are the key themes in [Competitor Y] 's recent blog posts?" ChatGPT can generate responses based on publicly available information, news articles, and social media mentions.
You can also request insights on competitors' strengths, weaknesses, opportunities, and threats (SWOT analysis), allowing you to understand their market positioning better.
3. Brand Governance
The final non-obvious area created by generative AI is the need for scalable brand governance. To date, humans have been in the loop to review brand assets across all channels and segments. As generative AI creates an explosion of hyper-personalized content, that process doesn't scale.
A brand governance platform can monitor text, image, and video content across all your platforms to ensure brand consistency. Ads, blog posts, landing pages—everything can be improved by generative AI. It will be built into all your tools, from Figma and Canva to Marketo and HubSpot to WordPress and Squarespace.
Such a proliferation of machine-generated content across all your platforms will make staying on brand challenging. Using a brand governance platform such as BrandGuard to check every piece of content automatically and flag the parts humans should review can save a lot of time and headaches.
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Generative AI is changing the way we work. It provides new capabilities and accelerates older ones to new levels of scale. Hopefully, these tools and trick in this article will help you build out generative marketing capabilities at your own company and embrace the new future AI is creating for brands.
Company Description:
"BrandGuard is the world's #1 Brand Governance Platform. Our AI models ensure brand consistency in all customer-facing assets generated by humans and machines. Your brand is valuable. BrandGuard makes sure it stays that way."
