Generative AI in Marketing: Benefits & 7 Use Cases in 2023
You can specify length, format, structure – just about anything you can think of to create. To use these tools effectively, you need to understand how to properly prompt these AIs to get the results you need. One of the main ways to do this now is to work with consultancies such as BJSS that offer comprehensive understanding of these technologies and can provide solutions that are more tailored to your organisation.
Why wouldn’t you take full advantage of your competitive differentiators? Amplifying those candid conversations resonates far better than synthetic content ever will. Millions of people are exploring its potential, but we must remember that human connection can never be replicated or replaced by AI. Learn how to develop your unique brand voice, design a beautiful website, and create content that grabs attention with a little help from us.
Top Applications of Generative AI in Content Marketing
However, it’s not the only use case — or even necessarily the most effective one. Today generative AI is a super powerful, priceless tool that significantly speeds up and eases many tedious tasks and allows specialists to focus on more important things. Apart from all the new solutions emerging on the market, many brands that marketers are already familiar with are incorporating generative AI into their offers. Recently, we found 65% of customers say they will stay loyal if the company offers a more tailored experience. In our survey, marketers estimated that generative AI could save them 5 hours per week — that adds up to over one month a year. We recently asked marketers how this technology will help, with 60% saying it will transform their role.
This automation can save marketers’ time and increase overall productivity. Generative AI’s underlying LLM can also let marketers use natural language to uncover new customer segments. To begin, content marketers can ask the tool to list key topics related to their industry or audience. For example, a marketer for a sustainability reporting software company may prompt the tool to list topics related to sustainability in business. The prompt then offers a high-level overview of what a blog post might cover, including key topics, like circular economy and sustainable supply chains.
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They threaten to upend the world of content creation, with substantial impacts on marketing, software, design, entertainment, and interpersonal communications. This is not the “artificial general intelligence” that humans have long dreamed of and feared, but it may look that way to casual observers. Just like the aforementioned Google Bard, ChatGPT can conduct human-like conversations and generate a wide variety of texts, including artistic and creative content, answers to various questions, summaries, etc. It’s worth remembering, though, that it is trained on data reaching only back to 2021, plus it doesn’t have access to the internet; thus, its answers may not always be as accurate as we’d wish. Still, it is a powerful tool that can support marketers in content writing, conceptual work, brainstorming, processing large amounts of data, etc. With the help of generative AI, extensive audience segments may be automatically created, offering exact customization campaigns for millions of clients.
Deloitte has also used Codex to translate code from one language to another. The firm’s conclusion was that it would still need professional developers for the foreseeable future, but the increased productivity might necessitate fewer of them. As with other types of generative AI tools, they found the better the prompt, the better the output code.
And for companies that operate in the marketing and advertising industry specifically, adoption and evaluation of the top generative AI use cases is notably rapid, second only to IT system integrators. You can have AI write you a script or answer any questions you have during the post-production process. If you want to demo your product with realistic-looking customer data, synthetic data generation can help you anonymize your production data without destroying the details. One emerging application of LLMs is to employ them as a means of managing text-based (or potentially image or video-based) knowledge within an organization. The labor intensiveness involved in creating structured knowledge bases has made large-scale knowledge management difficult for many large companies. However, some research has suggested that LLMs can be effective at managing an organization’s knowledge when model training is fine-tuned on a specific body of text-based knowledge within the organization.
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.
However, ChatGPT’s paid version — ChatGPT Plus — integrates with the Bing search engine to access more up-to-date information. Explore four ways generative AI can help marketing teams increase productivity. Conversational AI company Yakov Livshits Haptik builds an array of capabilities to leverage generative AI solutions for enterprise marketing. Haptik leverages GPT technology for chatbots, for enabling businesses to achieve a conversational marketing approach successfully.
Generative AI can help answer simple questions that aren’t already pre-loaded in your chatbot. Wearing the same thing all the time gets old fast, even in the metaverse. Give your in-game avatars more choice and more creativity with generative AI that’s completely free. Getting some of revenue via ads is great, but it also impacts your gameplay or app user experience. In-app purchases and especially subscriptions promise bigger rewards, but you need to appeal to people persuasively.
This technology analyses social media trends and user-generated content to generate relevant and captivating social media posts, hashtags, and captions. Generative AI can analyze text from source material, such as blog posts, books, social media posts, or conversations, to identify common or related themes and topics. The model can then be prompted to suggest possible directions or ideas for content development. Since then, countless new tools leveraging GPT and other large language models (LLMs) have promised to improve efficiency and effectiveness at every step of the content creation process.
- For instance, there are questions about the ownership of content generated by AI and the potential misuse of this technology.
- With a tool like ChatGPT, you could copy and paste the (anonymized) responses and ask it to create topic clusters, themes, and other commonalities.
- For many years, it has been quietly helping in the background, supporting advertisers in maximizing their time and return on investment.
- We’ll also experiment with new formats native to SGE that use generative AI to create relevant, high-quality ads that are customized to every step of the search journey.
- DALL-E 2 and other image generation tools are already being used for advertising.
The knowledge within an LLM could be accessed by questions issued as prompts. Then, once a model generates content, it will need to be evaluated and edited carefully by a human. He then improved the outcome with Adobe Photoshop, increased the image quality and sharpness with another AI tool, and printed three pieces on canvas. 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. With generative AI handling lower-level tasks, marketers are able to focus on strategic campaigns, executing on creative, and creating connections with customers.
As Wolverton puts it, “The more reliant marketers become on AI to produce content, the less differentiated that content will feel, which will put a premium on higher-quality research and writing.” Abtesting.ai is a tool for testing different versions of the website’s copy to see which performs better. It uses GPT-3 to generate alternative text variants; however, it can handle A/B tests thanks to combining GPT with other technologies, including machine learning. AI Enrich for Acrolinx is a generative-AI-powered solution for enterprises, allowing them to use Gen AI as part of their larger content supply chain. It can be used to generate or improve audience-focused content, as well as segment it by intended use and target audience.
Generative AI can help users assist in creating content which can be in the form of text, images, videos, and audio. However, AI-generated content’s authenticity, quality, and ownership can be questionable. Also, without original content generation, the AI can only repeat and rephrase Yakov Livshits the already existing content. Too much content generation from AI can cause a dearth of high-quality, original, creative, and authentic content. With Gen AI, every sales interaction—be it through email marketing campaigns or phone calls—becomes more than just a point of contact.
Traditional AI models have already demonstrated lead generation through web scraping – but now with generative AI, a more refined segmentation and targeting can be achieved. Generative AI is poised to take this to the next level with its ability to generate text, audio, video, images, code, simulations, and more content. This system was popularized recently by Open AI’s ChatGPT, which is based on GPT 3 and 4 large language models. ChatGPT, Bard, and other generative AI systems are raising the game for the marketing industry in that they enable the development of more customized content. Overall, it provides a good illustration of the potential value of these AI models for businesses.