How to Use Generative AI in Marketing

Generative AI is able to create visual content like images and videos for consumers. It can also automate image generation using deep learning algorithms and generative adversarial networks (GANs). This saves time and resources for marketers who would otherwise rely on design teams. AI-generated visuals can also be tailored to match branding guidelines and fit specific digital marketing campaigns. Generative AI solutions are transforming the way businesses approach sales and marketing by enabling them to create personalized, engaging, and impactful content at scale. With the increasing demand for AI-generated solutions for sales and marketing, more and more companies are entering this space and offering innovative platforms that help businesses stay ahead of the curve.

They can share their thoughts with generative AI and get suggestions to help them move forward with the project. In this context, generative AI serves as an additional team member who can convey a fresh Yakov Livshits point of view or help marketers develop new ideas based on what they’ve already prepared. Find out which tools are most effective for your team, and share them widely across the organization.

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At the end of the day, machine learning can’t replace humans, but humans can also learn to work smarter, not harder. When used correctly, generative AI creates opportunities to expand your business, increases productivity and efficiency, saves costs, and gives you a competitive advantage. Yakov Livshits The growing prevalence of AI-generated content will inevitably intensify the competition to rank in search results. Search algorithms do continue to prioritize high-quality content catered to user needs while devaluing low-quality, keyword-focused content written for SERPs.

• Generative AI can aid in sentiment analysis by creating synthetic text data that has been labeled with different sentiments such as positive, negative, or neutral.
• Thor Philogéne is the CEO and co-founder of Stravito, an AI-powered knowledge management system for market research and insights with clients such as McDonald’s, Danone and Burberry.
• Sprout Social helps you understand and reach your audience, engage your community and measure performance with the only all-in-one social media management platform built for connection.
• Marketing teams can use generative AI to quickly create a variety of marketing surveys, such as segmentation, purchase process and customer loyalty surveys.

Now, managers can pinpoint opportunities and strategize in hours, not weeks, optimizing resource allocation. For example, Tableau GPT integrates trusted generative AI across its platform, streamlining data analysis and enhancing insights, thereby accelerating results and simplifying tasks for analysts. In my experience, most of the statistics that AI tools return are, in fact, real.

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All in all, a content marketer can learn about the topics, subjects, and words their audience searches for online and cater to the same with relevant content. Experts need to analyze tons of keywords, their competitors, and user intent to build an SEO campaign that works. You yourself can learn how to use generative AI models in different marketing scenarios, starting with the seven outlined below. Companies can get valuable insights to help them along all customer touchpoints and find unique solutions that address their pain points. A survey by Mckinsey reports that 90 percent of marketing leaders expect to see an increase in the use of generative AI tools over the next two years.

AI models offer an efficient and cost-effective way to scale content creation. But before using the technology, marketers must understand the risks and limitations that come with using AI for content creation. However, with the right AI-powered toolkit, you can save your team and creators time on tasks like summarization, iteration, and customization, enabling them to produce and release high-quality content faster. Generative AI, as it exists today, is not reliable enough or capable of the critical and creative thinking required to replace human creators completely. To efficiently scale while maintaining the quality your customers expect, you’ll need to deploy AI in a structured environment and have a combination of human insight and oversight involved in the process.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

The company switched to Gen AI in 2021 by adopting the GPT-3 model, which was later (2022) upgraded to GPT-3,5. The growing popularity of generative-AI-powered marketing tools seems to be somewhat natural. I mean, there’s this field that requires tons of content, creativity, data analysis, drawing conclusions, smart decision-making, optimization, etc. — and then comes the technology that can help us with all of that. Yakov Livshits One of the fields where generative artificial intelligence is gaining particular traction is marketing. For instance, Mention, a social media listening and monitoring tool, used OpenAI’s GPT-3 capabilities to create an Instagram Caption Generator and Instagram Hashtag Generator. They’ve also created AI tools that help users generate social media bios across popular platforms like Instagram, Twitter, and TikTok.

It’s your business, your marketing and your results — all multiplied by Google AI. As always, we’ll be experimenting first, testing and listening to your feedback along the way. To make it easier to increase revenue from both new and existing customers, we’re also enhancing our new customer acquisition goal and introducing a re-engagement goal for Performance Max campaigns. They are trained on past human content and have a tendency to replicate any racist, sexist, or biased language to which they were exposed in training.

AI-powered tools also assist in software development, handling tasks such as composing user stories, editing and reviewing code, identifying bugs, and testing software. These tools contribute to more efficient workflows, heightened productivity, and expedited time-to-market. Some applications of Generative AI encompass text-to-code generation, code auto-completion, and code summarisation or explanation. Gen AI isn’t just a tool – it’s a game-changer, optimizing every step of the customer journey from lead generation to post-sale engagement.

These tools can help businesses improve customer engagement and retention, SEO, ad optimization, market research, and sales forecasting. Generative AI streamlines market research by analyzing vast amounts of data from multiple sources. It identifies emerging trends, customer preferences, and market opportunities.

The State of Generative AI & How It Will Revolutionize Marketing [New Data + Expert Insights]

The transformative potential of Generative AI technology is clear for individuals, businesses, and society as a whole. Its swift advancement can democratise various industries and revolutionise content creation and creative processes. However, businesses must exercise caution and prioritise human leadership when integrating Generative AI into their operations. Addressing the societal, economic, and environmental impacts of Generative AI necessitates investments in staff training, the development of ethical frameworks, and the implementation of regulations. As Generative AI continues to evolve towards General AI, it is crucial to harness its potential responsibly and sustainably, thereby enhancing efficiency and productivity across personal and corporate domains.

Clients receive 24/7 access to proven management and technology research, expert advice, benchmarks, diagnostics and more. Surfer offers Essential, Advanced, Max and Enterprise plans for small teams, agencies or enterprises. Nurture and grow your business with customer relationship management software. Here’s a quick and handy list of various AI tools suited for different needs.

But at Big Sea, we’ve stood firmly against what I like to call “digital detritus” since our start in 2005. We write for people, not for search engines, and have been rewarded by Google, whose algorithms take the same approach. While all of that sounds pretty great, you don’t have to worry quite yet about losing your job to a robot. AI still has quite a bit of work to do before it can truly replace the emotional, unpredictable, and humorous writing of real humans. Based on the Model, the global market is segmented into Generative Adversarial Networks or GANs and Transformer-based models.