Click to learn more about author Pratip Biswas.

Costumes, trick-or-treating, “Fire burn and cauldron bubble,” the “Ghostbusters” movie — this year’s Halloween was eerie, as usual! While the origin of the day is rooted elsewhere, these days, it’s all about getting socially visualized!

So, on this holiday, when you sipped your pumpkin latte or vampire juice (as befits your costume), your social visualization may have needed a dash of cinnamon! 

Your digital realm is staring uncannily back at you — expecting help from AI amalgamation! Don’t turn your back on it! Think of this — as you post your Halloween image on social media, wouldn’t it be fantastic if your business could capitalize on the perks of big data and implement it on social media platforms, reaping the benefits for your business?

Is that a frown I see? Ahhha … caught you! 

Yes, we are talking about business scope-boosts during the holidays despite the pandemic! All that you need to do is read below to learn how AI in social media, digital transformation, and big data can help revolutionize your brand’s social visibility!

Adopting and Exploring Artificial Intelligence

It seems artificial intelligence is up everyone’s alley! Social media platforms, YouTube videos — you name it, it’s there! With all this potential, AI can revolutionize the social visibility of all enterprises. 

While AI still is a mystery in many ways, with much left to be explored, a considerable number of technologies around us are already dosed with AI. Whether you are shopping for your Halloween costume or looking for a huge bag of candy, it’s all over your smartphone!

From voice-assistants to dictatorial GPS voices bossing us about which turn to take, we have adopted and explored AI in almost every possible way. And now, organizations are eyeing artificial intelligence and looking for possibilities to “catch the eyes” of users of the major social media platforms. So, why are they so eager about big data applications in social media? Let’s find out, shall we?

Businesses Using AI to Their Benefit 

AI is like a technology under Harry Potter’s invisible cloak! While many businesses are already heavily relying on it, their awareness of it is still limited. How do brands benefit from this? Let’s start by saying it only takes a bare minimum of marketing effort to ensure boosted insights and analytics. 

The reasons to adopt AI are endless, but many of them are listed in the image below.

While chatbots incorporated with natural language processing (NLP) are already extending “a helping hand” and handling customer service, apps and smartphones loaded with voice assistants are also aiding companies. With their efforts keeping the competition at bay, their content and websites are completely catering to the big data and AI landscape. 

Additionally, machine learning has been personalizing service delivery to such a degree that it boosts the customization-element. This brings us to the impact of AI on users (or was it because of the users that AI was brought in? The chicken and the egg thing crops up again!).

AI and UX: The Dynamic Duo

Customization is the key when it comes to fetching clients and drawing them down the sales funnel. With AI, this is feasible. The bespoke experiences of users can be cultured by over-processing and collecting data from individual clients, as is done by social media marketers. Considering artificial intelligence’s role in this landscape, the entire process can be streamlined to gain an understanding of what works best with users. 

With a deeper understanding of the user’s purchase intent, it becomes convenient to highlight any venues, events, or social media ads as per their current locations. With this, there is a portkey created between AI and social media platforms to boost the visibility of the business. So, let’s find out about AI in social media!

The Golden Trio: AI, Data Science, Social Media

Get this — when it comes to the implementation of AI and machine learning in social media, nothing can top Facebook’s use of it. Take a look at these statistics:

• Facebook Stories has 300 million active users daily.
• An estimated 350 million photos are added to Facebook every day.

The reason why Facebook manages to stay at the elite level is that it is actively involved in the utilization of its data collection and, hence, can craft a personalized suggestion list of products and services to users. With this neural network, one can use these cues to analyze the conversation types that run across the site. 

This includes the consideration of facial recognition technology in Facebook’s AI framework and how it can be used by advertisers in their campaigns. This incorporation of AI in social mediahelps brands compete. While this technology helps by offering tagging suggestions for the identification of friends in posted photos, it also can be used to offer discounts or free samples of products. 

Because AI streamlines and hawk-eyes the purchase patterns and interests of its users, it can deliver adverts that cater to the online social presence of the user. 

Below are some tips on how to use these AI tools to benefit your organization.

1. Data-Based Optimization

When it comes to Google SEO, keyword research is key, as is quality link building. However, consider this — can marketers deal with the following all by themselves?

• The best suitable keywords
• Analyzing the quality of the incoming traffic

Unfortunately, Google Analytics doesn’t suffice in this respect. Since the quality of traffic is a crucial element to consider while analyzing the value of the traffic, the best option is to invest in AI tools like MarketMuse. 

With MarketMuse, marketers can benefit from delving into the use of big data in social media and, consequently, offer intelligent insights regarding the content type that has the potential to draw considerable traffic volume via certain clusters of keywords.

AI can be used to extract topics from the collected and analyzed search data. This helps marketers spot the leading sites and analyze how these brands have consolidated their positions.

These social media AI tools can scan through posts and offer suggestions on the following (and other such metrics) that can offer enhanced page performance:

• Keywords
• Metadata

2. AI Solutions

When AI solutionsare blended and driven by AI for social media platforms, it becomes convenient to categorize the targeted audience based on demographics. All of this data can be easily transferred into the campaign material.

AI in social mediahelps marketers develop better penetration into social media markets. This is possible due to AI’s ability to enhance the brand connection with its stakeholders and visitors. This helps develop a considerably better insight into the data collection. 

However, for this to work properly, businesses will need to be agile enough to embrace the technology and ensure the same tactics aren’t used by like-minded rivals. With this, viewers and marketers will be looking towards hyper-personalized advertising campaigns.

3. Trending Data

When it comes to social media platforms like Instagram, marketers have them in their personalized exploring pages. 

This platform’s use of hashtags to ensure that messages become viral helps marketers broaden their target audience considerably. The trends tracked by AI systems and Data Science allow marketers to target users who are expected to be drawn to a certain type of post, offering them the ability to widen their appeal to an equally like-minded targeted audience. 

These value-based news feeds are optimized to cater to user preference. This chronological ordering of the news feed boosts the appeal of the posts. In this, the marketers have the aid of deep text AI that utilizes Data Science to remove irrelevant messages and spam automatically. This helps utilize the social media platform’s content delivery. 

With deep text AI in place, marketers have more value added to their methods when using Instagram to reach out to their targeted audience. The result is delivering more content for more genuine accounts. 

4. Data Driving AI and Visibility

Google searches are relying heavily on AI SEO and machine learning to ensure that they return the most suitable and preferred results for a query. AI helps in identifying the type of query made and whether it’s:

• Purchase-based intent
• Basic information-based search

As of now, marketers are faced with the hurdle of creating an AI-based SEO strategy that would cater to the diverse and wide algorithm of AI in search engines. 

In this regard, big data social media analyticsand AI tools help with offering insights regarding certain search terms:

• Questions related to the query put in
• Difficulty of keywords
• Search volume, etc. 

With voice-activated assistants in place, the landscape has changed considerably. The aim is not just to look for superior keywords but to gain increased social visibility, which requires verbal buzzwords. And needless to say, AI-based Data Science tools are the best way forward regarding this. 

The Secrets To SERPs

It’s safe to say that scaling search engines result pages (SERP) is synonymous with honing social visibility. For this, the focus should be on the following elements.

1. Automated Locality

As voice search optimization gets to the surface of popularity, with keyword optimization, there should also be a focus on locality-based search results. This is crucial when it comes to businesses that are focused on in-store purchases and local consumers.

For AI-driven platforms, like Yext, there are chances to analyze and supervise the precision of localized information for businesses across voice assistants and search engines. 

2. Predictive SEO

Data Science and big data analytics are driving forces behind the decision-making process by AI and ML programs. As more and more data becomes available, business owners and control marketers can gain the upper hand by understanding SEO performance. 

With this Data Science in place, individuals can help build predictive algorithms to understand the AI SEO techniques and performance. This also helps to gain an upper understanding of keywords that are valued by clients and the business. With the application of data, one can eliminate any kind of guesswork in the SEO field.

Conclusion

AI, Data Science, and big data play a large part in boosting social visibility, giving your brand a chance to outmaneuver competitors via intelligence. While the scramble to bolster online visibility becomes more competitive, you can sit back, sip your latte, and make pumpkin spice toast, because you’ll have these tools working for you. So, it’s time to trick or treat with your social visibility quotient — are you up for using the power of AI in social media?