Examples of successful using Artificial Intelligence by companies

In 2023, artificial intelligence (AI) reached mainstream adoption. What was once a concept confined to science fiction is now an integral part of everyday business operations. AI has permeated various domains, from smartphones to shopping experiences…

Organizations of all sizes, including mom-and-pop shops, e-commerce stores, and tech giants, have embraced AI. It leverages its power to streamline operations, anticipate market trends, and enhance customer experiences. This guide will provide insights into real-life examples of brands utilizing AI in 2024 and beyond.

How artificial intelligence is Utilized by Teams in the Present Day

Marketers are well aware that the true value of their work lies in effectively separating high-impact tasks, such as creative brainstorming and strategic planning, from low-impact, monotonous work. And here’s the interesting part: according to our report on AI Trends for Marketers, 90% of marketers state that these tools liberate them from such mind-numbing tasks. So, how exactly are teams leveraging AI in the present day? Let’s explore.

The usage of AI by marketers includes generating ideas and seeking inspiration (22%), conducting research (48%), and acquiring knowledge on how to accomplish tasks (32%).

Content Creation

Generative AI tools, like Jasper, Surfer for text generation, and Midjourney for image creation, offer valuable support in content creation. These tools produce text, create images, and even generate music or code, depending on your input and requirements.

This is not mere hype. According to statistics, 48% of marketers already leverage these tools for content creation. AI bridges gaps fills in missing pieces, and transforms ideas into tangible assets.

Imagine working on a campaign. You have the concept but need visuals and compelling copy. Enter AI. It generates multiple options and refines them based on your feedback. Voila! You obtain customized content in a fraction of the time. It’s all about working smarter, not harder.

Data Analysis and Reporting

AI tools streamline complex data analysis, facilitating the conversion of insights into easily understandable reports and captivating visualizations. Consider this: approximately 45% of marketers utilize generative AI for precisely this purpose. However, what makes this shift so pivotal?

In the past, creating quarterly reports was a laborious task. Data analysts and marketers would meticulously sift through vast amounts of data from different platforms in search of a few valuable insights. Now, AI takes on the heavy lifting by swiftly analyzing data, identifying trends, and synthesizing it all into polished presentations. For example, ChatSpot seamlessly integrates with our CRM to generate instant progress reports.

By automating and integrating these processes, valuable time is saved, leading to more informed decision-making based on well-informed choices.

Research and Inspiration

When it comes to brainstorming for a new campaign, encountering a roadblock in the ideation process can be frustrating. However, with the help of AI, you can jumpstart your brainstorming by accessing endless inspiration and research possibilities.

AI leverages vast databases of creative content to generate ideas based on popular trends, audience preferences, and successful past campaigns. It also facilitates keyword research, content optimization, and competitor analysis. The greatest advantage? AI accomplishes all of this within seconds, allowing you to allocate more time to bring those ideas to fruition.

Of course, it’s important to exercise discernment and rely on your critical thinking skills. While AI is highly advanced, there is always a risk of producing inaccurate or biased content. Utilize AI as a tool to overcome creative blocks and ignite new ideas, while still harnessing your creativity and expertise.

Customer Behavior Prediction

Utilizing extensive databases, AI analyzes consumer interactions and preferences to identify patterns and predict customer behavior. Integrating insights from neuroscience studies enhances the understanding of how customers think and respond to stimuli.

Why is this significant? It revolves around gaining deep insights into your customers’ mindset. Take, for instance, Predict AI by Neurons. This advanced solution is built on a vast database encompassing eye-tracking data from over 120,000 individuals and more than 100 billion brain response data points.

What does this imply for you? With Predict, you gain valuable insights into the hows and whys behind customer responses to your ads and brand, all within seconds. Similarly, Vizit follows a comparable approach. Powered by AI, this tool provides data on the images and designs that drive customer engagement and lead to conversions.

Armed with this knowledge, you can tailor your products and marketing strategies to perfectly align with your audience’s desires and needs. Instead of relying on guesswork, you can make well-informed decisions. Understanding your customers better allows you to create resonant experiences, resulting in greater customer satisfaction and a more memorable brand.

Examples of Artificial Intelligence integration

Generative tools and predictive analytics serve as two sides of the artificial intelligence marketing coin. While generative tools facilitate content creation, predictive analytics leverages AI to classify data and forecast future trends, customer behaviors, and market dynamics.

Predict domain authority

Domain authority is a crucial ranking score that predicts a website’s likelihood to appear on search engine result pages. Moz’s Domain Authority (DA) checker is a highly regarded tool. DA estimates a site’s ranking potential, empowering SEO professionals to prioritize their efforts effectively. Websites with higher DA are more likely to achieve favorable rankings, enabling SEOs to gauge competition. Additionally, DA provides insights for SEOs, marketers, and PR professionals to identify link-building opportunities. According to Chima Mmeje, a content marketing manager at Moz, DA employs a sophisticated neural network, distinguishing itself from simpler linear models used by industry peers. This enhancement improves the platform’s capability to assess link quality and identify spam. While DA doesn’t directly forecast rankings, it relies on Moz’s proprietary metrics to estimate a page’s potential to rank well. This upgrade enables users to gain a comprehensive understanding and enhance their website’s performance in search results. Predictive AI leverages advanced data processing and analysis techniques to uncover valuable patterns in search engine behavior, backlink profiles, and other ranking factors. This approach provides deep insights and accurate predictions regarding a site’s potential to achieve favorable rankings.

Implement predictive lead scoring

How can one effectively identify the most promising leads? This is where predictive lead scoring becomes invaluable. Predictive lead scoring leverages AI to assess potential customers based on their conversion likelihood. By establishing an ideal customer profile grounded in past buying behaviors, it becomes possible to precisely identify prospects that align with this profile.

Why is this approach so critical? Predictive lead scoring eliminates guesswork by relying on data rather than intuition. Consequently, it minimizes human error and biases while enabling efficient targeting of the most relevant leads. The outcome? Your sales team can concentrate their efforts on leads that are more likely to convert, thus maximizing their impact. Thanks to artificial intelligence, reliance on intuition is replaced by data-driven insights, ultimately leading to enhanced accuracy and efficiency in lead targeting.

Categorize customer support tickets

Ever wondered how leading companies like Zapier maintain the excellence of their products and ensure customer satisfaction? Here’s a valuable insight from Reid Robinson, the Lead Product Manager at Zapier. He leverages Zapier to streamline the handling of product support issues by utilizing GPT-4 for sorting and analysis.

Every week, he receives a comprehensive report highlighting the key areas that require attention. By addressing these issues proactively, Zapier not only refines its products but also showcases its commitment to delivering an exceptional customer experience. Enhancing the efficiency of the customer support process is a significant achievement, as it saves time and resources that can be allocated elsewhere.

By taking a proactive approach and placing customers at the forefront, Zapier demonstrates its dedication and commitment to their needs. This approach not only reduces the effort spent on manual sorting but also enables the allocation of valuable resources to other important tasks.

Conduct regular data analysis

Data analysis doesn’t have to be a monthly hassle. According to Reid Robinson at Zapier, the new Assistants API feature makes data analysis effortless. “Export data every week, utilize your ChatGPT Assistant to analyze the data with Code Interpreter, and present the analysis with visually appealing charts in Slack,” states Robinson. What sets this apart is its consistency and simplicity. You can expect these valuable visual reports without fail every single week. This regularity eliminates data backlogs and last-minute rushes. You will always be up-to-date and able to make informed decisions based on the latest data. This streamlined AI-assisted data analysis ensures that your team is consistently informed with the most up-to-date insights. It’s an intelligent approach to stay ahead.

Establish a centralized data hub for enhanced data management and accessibility

ASUS, the multinational computer, phone hardware, and electronics manufacturer, operates offices globally. Its business intelligence team oversees worldwide marketing investments and strategy, with each regional branch reporting marketing activities at different times, in various formats, and on diverse platforms. This lack of standardization poses a significant challenge. To address this, ASUS leverages Improvado, a predictive AI platform, to establish a centralized data hub. This hub serves as a unified source for the organization’s diverse data needs, including Management, Data Analytics, Business Intelligence, and Digital Marketing. By connecting to Google Data Studio templates, which are automated and centralized, ASUS has custom models for filtering data by regions, products, and marketing campaigns. This centralization enhances data availability, enabling quicker experimentation and deeper insights. ASUS adopts a unified approach to data handling, resulting in significant time and resource savings, such as up to 80 to 100 hours per week in IT and 30% annually in marketing.

Perform a more comprehensive SEO analysis

Traditional SEO research primarily focuses on basic keyword analysis and surface-level content evaluation. However, this approach often fails to capture the intricate details of search engine algorithms and neglects the significance of comprehending user intent, content context, and the intricate relationship between ranking factors.

In contrast, the B2B SaaS agency Stratabeat takes a different approach. Tom Shapiro, the CEO of Stratabeat, emphasizes their utilization of marketing tools based on natural language processing models from Google Cloud Platform, IBM Watson, and OpenAI as part of their SEO stack. Shapiro adds that this platform empowers them to conduct in-depth SEO research, perform comprehensive Google SERP analysis, and evaluate content based on SEO scoring.

This AI-driven approach provides a comprehensive understanding of how search engines rank and perceive content in search results pages (SERPs). It goes beyond mere keyword density in SEO scoring, focusing on the overall relevance, quality, and context of the content about user queries. What sets this method apart is its ability to provide insights beyond traditional metrics, leading to enhanced search engine rankings and optimized content.

How can you use AI for your company?

There is a significant amount of optimism surrounding Artificial Intelligence (AI)68% of marketing leaders at the director level and above believe that the complete integration of AI and automation would lead to unparalleled business growth. Here are five impactful ways in which generative AI is making a substantial difference.

Refine content drafts with precision and expertise

When used correctly, AI becomes a valuable editing companion. Think of it as a sophisticated co-pilot that helps refine your content drafts. AI tools can suggest grammar, style, and tone improvements, ensuring clear and resonant messages for your intended audience. Wordtune, an AI assistant, corrects errors, understands context, paraphrases text, and generates content based on context. Ben Pines, Director of Content at Wordtune, uses the tool to enhance his writing process in three ways. Firstly, he explores and expands on topics quickly by summarizing the tone of different social media platforms. Secondly, he uses AI to rephrase and clarify sentences, bridging gaps for readers. Lastly, AI aids in editing, providing additional insights. Regardless of the writing task, Ben adheres to these methods while maintaining his style. He emphasizes the importance of AI complementing his thinking and preserving his voice. AI is versatile in various writing tasks, offering value as a helpful tool.

Maintain a fresh link-building strategy

The team at Hunter.io utilizes generative AI in their email finder tool to maintain a dynamic link-building strategy and monitor link integrity. This is crucial because marketers understand the significance of an effective link-building strategy in enhancing SEO and driving website traffic. However, keeping track of numerous links can be quite challenging.

Antonio Gabric, Outreach Manager at Hunter, acknowledges the relatively short lifespan of backlinks. “Within two years of active backlink building, we discovered that approximately 9% of the built backlinks were lost,” Gabric shares. “Thanks to generative AI, we were able to reclaim over 50 backlinks in less than a month.”

To elevate your link-building strategy, Gabric suggests the following steps:

1. Compile all backlinks in a spreadsheet.
2. Utilize AI to develop a Google Apps Script that automatically verifies if specific URLs still link to the target page.
3. Execute the script.
4. Obtain results within minutes.

You can rely on ChatGPT to guide you through this process. Once you have collected backlinks in a spreadsheet, AI can assist you in creating the Google Apps Script.

Manually verifying hundreds of links is time-consuming and tedious. By leveraging Artificial Intelligence, Hunter successfully automated this process, saving valuable time that could be allocated to other marketing endeavors. Integrating AI into a Google Apps script significantly streamlined and enhanced the efficiency of the process.

Automate content summaries

Snorkel.ai is an AI platform focused on data, revolutionizing manual AI development processes into programmatic solutions. Matt Casey, the Data Science Content Lead, has successfully incorporated generative AI into the marketing strategy at Snorkel AI.

“I utilize a Python pipeline powered by OpenAI’s APIs to automate the generation of content summaries and sample tweets for articles on our blog, as well as to create initial drafts of content,” he explains.

Casey further shares that he recently established a new workflow using OpenAI’s playground. “We have an upcoming conference featuring pre-recorded content, and we aim to drive strong promotion focused on this content in the days following the conference,” he elaborates. “To accomplish this, we wanted to efficiently create pre-packaged blog posts related to these presentations.”

So, how does Matt achieve this? Let’s take a look at the workflow.

Create custom blog images

Singularity Digital, a digital marketing agency specializing in SaaS businesses, utilizes Midjourney to create customized blog headers. While stock images may be convenient, they often lack originality. On the other hand, custom blog headers not only stand out but also align perfectly with the theme of your content, reflecting your brand’s identity. Adding custom images to your blog posts adds a significant amount of personality, and they can also be repurposed for your social media posts. With Midjourney, you have endless options for unique and branded blog headers that won’t break the bank or consume excessive time.

Enhance internal content distribution

Critical information often gets buried in emails or lost in intranet pages. Efficient internal content distribution ensures easy access to vital information for all team members. It also boosts employee advocacy by providing valuable content for sharing. According to Sprout Social’s research, 62% of employees would willingly post company content if provided. By furnishing compelling, pre-made content, employees stay informed and become influential brand advocates. Matt Casey at Snorkel.ai devised a swift method for disseminating internal content. His automated system monitors the blog every 15 minutes, generating summaries and sample tweets before sharing them on Slack. This approach has spread the word about new content throughout the company. Synchronizing knowledge base ensures employees stay well-informed. Automating the process allows effortless content access and sharing, saving valuable time.

Best Practices for Using AI in Everyday Life

Fact check the output

It is crucial to always cross-reference AI output with reliable sources, particularly when it involves data, historical facts, or specialized knowledge. The reason for this is that AI is a tool and not an infallible source. It combines technology with the data it has been trained on, which can have limitations or biases.

Almost half of marketers who utilize generative Artificial Intelligence have encountered information that they know is incorrect. What is even more concerning is that only 27% of them are very confident in their ability to identify inaccurate information.

A convenient approach to address this is by conducting a quick search on Google. Look for reputable sources that can validate the AI’s output. It is advisable to prioritize fresh data, as it ensures relevance and accuracy.

Avoid excessive dependence on AI

Artificial intelligence (AI) is undeniably valuable, but it’s crucial to acknowledge its limitations. Not every task is suitable for AI tools. Jobs that necessitate creativity, originality, personal opinions, or unique perspectives often yield subpar results when entrusted solely to AI. For example, tasks involving controversial or political subjects may produce biased or oversimplified outcomes if solely tackled by Artificial Intelligence. Therefore, striking a balance is imperative. Utilize AI as a tool to enhance your skills rather than replace them. Employ it for data-driven tasks, routine inquiries, and basic content generation, while reserving tasks that necessitate profound human insight, emotional intelligence, and ethical judgment for oneself. Although an incredibly powerful tool, AI thrives when complemented by human creativity and critical thinking.

Enhance your editing skills to achieve greater proficiency

To optimize AI-generated content, it is imperative to refine your editing skills. Consider Artificial Intelligence as your initial draft writer, providing a solid foundation. However, the true enchantment lies in the editing phase. Mastering the art of editing allows you to polish the language, and style, and ensure the content aligns seamlessly with your voice and objectives. Here, you can infuse your personal touch, adjust nuances, and guarantee precision in every aspect.