Social media monitoring AI isn’t just fancy tech talk—it’s the real deal in boosting your brand’s online presence. We are all attempting to stay informed about our brand. However, with so much happening, it is like trying to hear a whisper in a rock concert. Is that correct?
AI does more than just help us respond. It’s about predicting, understanding, and making smart moves. So, how does AI fit into your marketing?
With AI Marketing strategies, we turn raw data into something we can use, feelings into understanding, and chats into relationships. These relationships can really boost your brand’s online popularity.
Ready to see how AI will change the way brands monitor social media in the near future? Let’s jump in!
Table of Content
- What is Social Media Monitoring Based on AI?
- The 4 Ways Artificial Intelligence Will Affect Social Media Monitoring
- Successful Examples of AI-powered Social Media Monitoring
{Updated on 21/06/2023}
What is Social Media Monitoring Based on AI?
Social media monitoring based on AI refers to the use of Artificial Intelligence technologies to automatically track, analyze, and respond to brand mentions, keywords, phrases, or behaviors across various social media platforms.
This involves using AI capabilities such as Natural Language Processing (NLP) for understanding human language, Machine Learning for predicting trends and user behaviors, and image recognition for analyzing visual content.
Social media AI tools are using these technologies to enable brands to sift through the vast amount of data generated on social media platforms, extract meaningful insights, understand public sentiment, anticipate customer needs, and engage with their audience in a timely and personalized manner.
Also, AI becoming more widely adopted. Around 60% of brands are already incorporating it into their marketing campaigns. This transformative approach evolves monitoring from a traditionally time-consuming, reactive process into a proactive, strategic initiative. The increasing adaptation is proof that AI’s potential to change how brands interact with audience and manage their online presence.
4 Ways Artificial Intelligence Social Media Monitoring Helps Brands
But how exactly AI influences social media monitoring? Here are some of the main ways that AI improves social media monitoring.
1- Deep Learning for Advanced Sentiment Analysis
Sentiment analysis, an essential part of social listening, pushes monitoring into new frontiers. Today, sentiment analysis can gauge whether the conversations about our brand are positive, negative, or neutral. But, it’s gearing up to get even better, learning to understand all the complex expressions people use.
Consider how people often show their feelings through sarcasm, humor, local slang, or even emojis. Advanced sentiment analysis will decipher all these nuances, giving businesses an incredibly clear picture of what their audience is really feeling.
Intelligence Sentiment Analysis by Mentionlytics
Another exciting development is predictive sentiment analysis, a powerful result of integrating AI with big data analytics. It is similar to having a crystal ball. This crystal ball uses past data collected from big data analytics.
It can predict how people’s feelings toward your brand might change. By scrutinizing extensive historical datasets, you can identify patterns and trends that forecast future sentiments. This lets you stay one step ahead, ready to adapt before shifts in public opinion even happen.
Want a taste of intelligent social media sentiment analysis tools? Give Mentionlytics a try!
2- Finding and utilizing digital influencers
AI is revolutionizing the process of finding influencers through social network monitoring. Influencers are one of the main parts of a successful social media strategy.
In the past, brands had to rely on word-of-mouth or manually scour through numerous profiles to discover potential influencers. However, with the advancements in AI-powered monitoring tools, the landscape has significantly transformed.
By leveraging AI algorithms, brands can now analyze vast amounts of data, including influencers’ followers, posts, and interactions, to determine their suitability for a partnership.
These algorithms can identify patterns audience demographics, and brand awareness metrics to assess an influencer’s impact and alignment with the brand. This process not only saves time and resources but also increases the accuracy of matching influencers with specific brand requirements.
Using Mentionlytics to automatically find social media influencers
Bonus: Do Nano-Influencers Mean Increased Engagement?
AI and social monitoring can help marketers. This integration simplifies the influencer discovery process. It is less resource-intensive and more precise.
With AI’s assistance, brands can identify the right influencers who can effectively expand their reach and engage with the desired target audience.
This not only maximizes the effectiveness of influencer marketing efforts but also mitigates the risks associated with partnering with incompatible influencers.
If you want to easily discover influencers who are already talking about your brand, sign up for a free trial on Mentionlytics!
3- Detecting Fake News and Disinformation
Detecting fake news and disinformation through artificial intelligence monitoring is important not only for monitoring political campaigns on social media but also for the healthcare industry. In the healthcare industry, the spread of fake news and disinformation can have significant consequences. Misleading health information can jeopardize public health, spread unfounded treatments or remedies, and erode trust in healthcare professionals and institutions.
By leveraging advanced AI techniques, these algorithms analyze vast amounts of real-time social media data, searching for patterns, inconsistencies, and indicators that point to misleading or fabricated content.
Through the application of natural language processing, AI can identify suspicious language, misleading claims, or sources with a history of spreading misinformation.
This development serves as a protective measure to safeguard your brand health and ensure the integrity of online information related to your brand.
4- AI Image Monitoring
AI-powered monitoring plays a crucial role in efficiently analyzing UGC content, including images, which can often be challenging to find and analyze using traditional methods.
With millions of images uploaded daily on Instagram and Instagram, brands need AI-powered tools to sort, filter, and derive insights from this massive amount of visual data.
AI tools are capable of recognizing brand-related images and extracting meaningful information from them. This enables brands to gain in-depth insights into customer feedback on their products. By leveraging AI, brands can identify potential sales opportunities and cross-promotional prospects based on image analysis.
The information gathered from images allows marketers to capture these opportunities and deliver targeted content to customers.
For example, if a customer frequently posts images of your products, you can respond with personalized promotions or appreciation messages, demonstrating that you value their support. This cultivates customer loyalty and encourages further brand engagement.
Successful Examples of AI-powered Social Media Monitoring
In this section, we’ll discussed how marketers can make use of AI for improving their marketing efforts. Here we highlight a few examples of brands that have successfully done exactly this:
Blossom by New York Times
The New York Times is considered to be a content King in the United States with its readership and influence extending all across the globe. The company posts hundreds of stories on its website on a daily basis. At this scale, it is very difficult to handpick stories that will receive maximum engagement. Therefore, for this purpose, the New York Times makes use of Blossom.
Blossom is an intelligent Slack bot that predicts how articles will perform on social media. Not just this, but the bot can also make story suggestions to editors, by analyzing through the massive amount of story content and data available to it.
The bot makes use of metrics such as Facebook post engagement and number of views to determine which stories to post next. Editors and writers of the New York Times can directly question Blossom to ask about what to write or share next!
Image credits: Niemanlab
Sephora chatbot
Sephora is a chain of cosmetics stores based out of France that features almost 300 brands. It is one of the companies that successfully adapted AI chatbot marketing. Sephora set up Facebook chatbots for better customer service.
The Sephora chatbot is advanced enough to give out beauty advice on its own! This chatbot by Sephora is capable of promoting both content (such as articles on beauty tips) and products. The chatbot can ask you questions, take a quiz to learn about your preferences, and make suggestions on which products to buy!
Image credits: Fashion & Mash
These examples show how AI in social media positively influences marketing. In this modern age, AI features and applications have become vital tools for online marketers.
Try Artificial Intelligence Media Monitoring
Experience the power of AI with Mentionlytics’ media monitoring. Our platform provides real-time insights, predictive analytics, and a comprehensive understanding of public sentiment, empowering you to manage your brand reputation effectively and proactively.
Whether you’re seeking to improve customer engagement, conduct market research, or prevent PR crises, Mentionlytics can help you understand your audience.
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