AI SMM – How AI can transform social media marketing?

AI SMM – How AI can transform social media marketing?

Over 2.4 billion people across the globe and about 70% Americans use social media and it is critical that businesses leverage this channel with best marketing practices to shore up their bottom-lines. Be it marketing, support or sales, social media has become a big weapon in the marketing arsenal. It is an invaluable asset in terms of customers interacting with the brand and vice-versa. With millions of tweets, likes, and interactions being generated by the minute, it is impossible for big brands to keep up with the data flow. Human intervention in the form of employees takes the front seat, however, even the biggest of brands have at best, “tiny” social media teams. This is where AI SMM or Artificial intelligence-based social media marketing comes in. The situation today is – a business that ignores the capabilities of AI SMM loses out on a multitude of opportunities.

Automation is the only answer to the deluge of data that is growing by the day. But automation has its limitations and so does a human brain. Crunching huge amounts of data is not a human specialty and talking and interacting with humans is not a strong point of automation, at least not yet. Humans have to prioritize on data crunched by automation software (AI SMM) to create engagement opportunities, so the entire situation becomes symbiotic, where one part is human intellect and the other is artificial intelligence. Let us look at some areas in which AI can transform social media marketing for magical results. This is what we term as AI SMM.

1. The complement of human intelligence and AI SMM

AI applications and human beings form a complementary team in a social media marketing or SMM process. AI is growing leaps and bounds through extensive research in terms of natural language processing. However, real-time and targeted engagement remains a challenge. Whereas, human beings, on the other hand, are adept at engagement while they fail at crunching massive amounts of data that AI can achieve in seconds. This complementary relationship between AI and the human brain can be put to use effectively when deployed with a well-thought out strategy. AI SMM, fine-tuned, is also capable of removing noise and deliver useful data to an SMM marketer, so that he can be effective and quick in his approach to engage and convert.


Chatbots are not only used on website frontends but have also found use in the social media marketing niche. Chatbots are evolving quickly and today they are used to handle smaller customer issues while the bigger ones are delegated to human intervention. This translates to effective use of human potential. Chatbots are equipped to create and handle multiple conversations at the same time and are available 24/7. This, I have already discussed in one of my previous blog posts – AI-Based Marketing – 12 winsome AI ideas to leapfrog your efforts.

The fact that over 60% of customers expect an answer to their complaints in 60 minutes or less is a reality. By deploying chatbots on customer support platforms, they can help keep customers happy and improve retention rates. Not that chatbots will resolve all queries, but they can keep a customer engaged while flagging humans for faster resolution of issues. Chatbots can also prioritize complaints and help boost social media engagement by better customer interaction.

3. Post intelligence

Artificial intelligence is capable of identifying engagement opportunities on social media.  A business called post intelligence has developed an application called PI that can track social trends in a given niche. The tracking data is then matched to the user’s recent posts and level of engagements thus creating an opportunity to fine-tune or recommend content that can be posted. It also has the capability of generating social media posts. As a social media marketer, you can imagine the possibilities here.

4. Kosei and Pinterest

Pinterest has acquired a business called Kosei to add to its AI capabilities and predict personalized recommendations for users depending on their interests and search data. Kosei uses a recommendation modeling algorithm to help Pinterest churn out relevant results.

5. Bright and LinkedIn

Bright is a job search business acquired by LinkedIn in 2014. Bright used machine learning to match employment opportunities with candidates. The bright algorithm helps LinkedIn to assess hiring patterns, work experience, locational preferences, and other myriad data to score candidates for a given employer. LinkedIn adds a new dimension to its job opportunities section by integrating Bright in addition to its data making it a more focussed hiring portal.

6. Slack bots

Slack bots throw guesswork out of the window for social media marketers. This AI SMM tool helps them to develop effective posts to promote their brands more effectively while suggesting content. Slack bots are seeing deployment in content marketing too since they are adept at analyzing niche content and suggesting the next steps. In the case of SMM, they analyze the posts on specific social media platforms based on the suggested niche. Slack bots can also predict engagement success rates by comparing your posts to others, especially the promoted ones. In short, they help create effective and focussed social media campaigns by taking out the guesswork.

7. Facebook and facial recognition

On of the best AI, SMM technologies have been deployed by Facebook to engage and enhance customer interaction. Facial recognition saves time on tagging on the Facebook platform. It is still in the early times, but with facial recognition history, Facebook may use the data to deploy the algorithm to suggest products, offers, and places.

8. Marketing Automation using text mining

AI’s machine learning technology is enabling text mining and it will be very helpful for marketing automation techniques. Text mining algorithms are meant to analyze both, structured as well as unstructured data, analyze, and predict customer behavior trends. In turn, this will help marketing automation in terms of hyper-personalization which is lacks in today’s marketing strategies. It can also predict the correct times for social media posting, and will help reach a diverse audience to create maximum impact of social media marketing campaigns.

9. Social media marketing automation

There are many tools like Buffer, HootSuite, and Co-schedule that can help you automate social media marketing by scheduling posts for a month or more, depending on your SMM strategy. So, what will take weeks can be achieved in a coupled of hours. However, they will not help with interactions or engagements, and human interaction is necessary.


There are many AI solutions out there, but there is no holistic solution that can serve the purpose. It is necessary to choose wisely and ensure that your choices add value to business. They should be deployed to extract holistic, actionable intelligence for the business and not as a solution to a subset of a marketing process. In the case of social media, they should be capable of uncovering insights and should help build customer-centric social media marketing strategy. Using social media automation tools creatively is the secret sauce that CMO’s need to figure out.

For more help on creating an effective AI-based social media strategy, get in touch with us today.

Leveraging AI SEO is the way ahead for marketers

Leveraging AI SEO is the way ahead for marketers

Google updated its search engine algorithm on 6th of June 2019. And, now there is a chatter about an unconfirmed update on July 11/12th 2019. Result – the whole SEO community is shaken and stirred. Some lost traffic, while some gained and as an SEO professional, you must be running pillar to post to find out more and rectify, especially if your or client’s traffic dived southwards. Is AI SEO, the answer to your woes?

Let’s look at it at a deeper level. With all due respect to every professional’s knowledge and skills, there is every reason bother about search engine updates. Taken that, you have been honest, built a technically fantastic website (as per technical SEO recommendations) and marketed it organically without using or focussing on bad links or using copyrighted content. Only the market or consumer trends will effect your traffic and nothing else.

I have been following the updates just for the sake of profession and never made unnecessary changes to any of mine or client’s websites, apart from making them customer centric and none of them have been hit, over the last 15 years. There is a secret to it, of course. September 2013, the Hummingbird update was what got me going.

You, me and SEO

Following AI SEO techniques to create an SEO strategy is a good idea, once and for all. I can understand that everyone is in a hurry to promote keywords and get to the top of Google’s organic results. What I do not understand is, if you you are not better than the one on the top, how do you expect to get there.

Following success and getting one-up is the game here, and not gaming the search engines. If you are trying to game them, surely, you need to think about damage control with every update. Search engine updates are here to create a level playing field and playing by the rules is the only way to get there.

AI or artificial intelligence “was” for the nerds. Today, it is effecting every facet of your digital life – Alexa, Siri, AdWords, FB ads, Amazon or Netflix recommendations, you name it and it’s there. So, it’s already made headways into digital marketing, so, what’s wrong with applying it to SEO.

AI SEO – The impact and the relationship

What do you think the search engine algorithms are? They understand more than we can perceive including irrelevant backlinks, keyword stuffing, bad content etc. They rank your webpages depending on these and many other factors and, are created to learn using machine learning which is an integral part of AI.

Understanding AI and playing by the rules is critical to success. This can help you create cohesive strategies and bring more bang for the buck. Let us see, in this post, how you can leverage AI SEO for better ROI.

Today, the impact of AI is very strong. For example, the search results on Google that you see, take into account a number of considerations like favorite websites, geographical location, search history and similar customers who searched the same query. This means that the impact of AI on page rankings will be strong and can vary very quickly due to customer behavior. Your SEO strategy has to consider this impact with a critical eye.

Role of Machine Learning in search engine rankings

SEO or search engine optimization is an organic marketing processes executed to tame search engines and get to the top of organic rankings. Of course, marketing is ever-evolving (which keeps me interested in the first place), and search engines also evolve at the same pace, especially in the area of SERP or page rankings where they exercise utmost influence.

As SEO professionals, we have been meeting the algorithm requirements through keyword optimization, metadata, acquiring inbound links and adding new website content frequently. Did we forget something? Will get to it in a minute.

Machine learning

The leader of search engines, Google continuously improves search results based on search trends and not by what you and me do. Google is consumer specific and analyzes search trends over time using machine learning and applies the same to its algorithms. How many of us SEO professionals have tuned the search to consumers? We have always ranted ranking and ranking and ranking.

So if traffic falls for some websites and rises for some after an algorithm update as a result of an organic fall, don’t fret, you just need to adjust your sails to the search engine winds. If you had the consumer in mind, the adjustment will be small, but if you had rankings in sight, it could still be your best fall ever.

Google estimates that 50% of search volumes will come through voice in an interactive language, by 2020. And, Google is ready with its voice assistant, image search and maps locations, bettering it by the day to interpret natural language and provide relevant results. Are you working towards it? Is your SEO working towards using natural language keywords?

Applying AI is the only way to understand and tame the search engines. There are many tools out there, like Moz, Yoast etc. that can help you with keyword usage, optimize content and page optimizations. However, tuning your website to rank for voice search is the the key to success.

Content and AI SEO

Content is critical to SEO and we are not talking content marketing here. We are talking about shape, size and tone of content that needs to change effectively. AI can help you create opportunities to reach wider audience. However, it is for you to intertwine these opportunities and create a proper and sustainable SEO strategy.

You could, but how? Every secret lies in the data. Check your content, blog posts and other publications for traffic data and analyze why some did well and some did not. How many of them appeared in voice search and what did you get out of them? An AI empowered digital marketing agency could help you do well here.

AI helps you leverage consumer insights and create strategies around it. Kia Motors did this successfully by partnering with an influencer marketplace to find the right influencers. And, do you know how the marketplace found them? Using AI. Kia’s 2016 Super Bowl commercial is a perfect example of attracting relevant consumer groups for their Optima model, using branded content.

AI used in content can provide insights and ideas about:

  1. Landing pages – performance of old ones and suggest new ones.
  2. Personalized content – dynamic content depending on user preferences.
  3. Experiences – Unique to customers according to their preferences.

Additionally, tools like BuzzSumo or Hubspot are able to pin point customer preferences in real time enabling you to act in time to win business. There are many other AI tools out there that can help you leverage your content for best use. As an SEO professional, you can well understand the criticality of having those above in your arsenal.

Hyper personalization – AI to the rescue

The best way to attract or captivate a visitor to convert is through hyper personalization. IF the messaging is fine tuned to the language used by the visitor, messaging at times he/she prefers and using names is the best way to further your interests. I mean, wear the visitor’s shoes and you will understand what I am talking about.

Standing out amidst the impersonal content that rules the internet is the only way to get to to the visitor’s heart. In fact, data says that about 80% businesses achieved revenue targets and more using a proper personalization strategy. AI based personalization that is customer intent based can actually raise potential profits by about 15%. Personalization engines created using AI will see a rise and obviously adding personalization to your website, content and SEO will see hyper results.

Another great example of personalization success is Starbucks, which offers loyalty cards by leveraging mobile app data. This enables the business to provided menu recommendations on mobiles to customers approaching the store. Their secret to customer success, despite having 90+ million transactions a week along with a lot of data. That’s what leveraging data using AI for hyper personalization, can do for your business.

The future of AI in marketing

Search engines like Google evolve continuously and as SEO’s we cannot expect ourselves to know what’s on the inside of a search engine algorithm. It’s only when the updates are deployed, we measure the results, happily or unhappily. Sad, but true.

However, realising that all those changes are customer-centric and keeping the customer in mind is of utmost importance. If search engines are leveraging AI to meet consumer needs, why can’t you do the same to cater to search engine needs. AI based tools are adept at measuring how your blog post or content will perform in search. Isn’t it a great starting point to better your marketing, with AI SEO?


In short, AI has matured from a data collection and an analytics tool to become an integral part of digital marketing. The sooner your business realizes the impact of AI SEO to your marketing bottom-line, the better. The bottomline is that your SEO has to evolve alongwith AI and that you will nomt be able to do without the use of AI. Deploy and see results.

Get in touch with us for a more detailed discussion.

AI-Based Marketing – 12 winsome AI ideas to leapfrog your efforts

AI-Based Marketing – 12 winsome AI ideas to leapfrog your efforts

Artificial Intelligence or AI is what it is – artificial. A software that can learn from enormous amounts of data that it is fed. AI has been an ambiguous concept until recently, and no marketer wanted it to touch it with a bargepole, or make it a part of his digital marketing strategy or learn/ implement “AI marketing”.

2019 is seeing a paradigm shift in AI usage owing to clarity and capabilities that have been proven to work, and marketers are more than willing to incorporate it into their marketing strategies.

AI, as I can see, will keep evolving for the next 25 to 30 years. In this piece, let’s discuss the uses of AI in digital marketing to make it more relevant and effective – AI marketing. Before we get there, let us look at a couple of important facts.

  1. According to a MeMSQL survey on 1600+ marketers, it was found that over 61% wanted to incorporate artificial intelligence and machine learning, as they will be the top data initiatives in 2019.
  2. Salesforce says that most marketers believe that the use of AI will grow over 53% in 2019, which is more than any other technology presently in use.
Picture Consultancy – Salesforce Blog

The internet has turned into a huge repository of information collected at an alarming rate through logins, behavioral trends, subscriptions lists, IP addresses, web crawls, and many other processes. This information when processed through an AI capable software, to make it more meaningful, to analyze, becomes very useful to all stakeholders including marketers.

The best example of such deployment is Google AdWords or Facebook Ads that deliver “relevant” ads to the sites you visit or on your Facebook page. That is AI in action, and for marketers, it is a giant leap forward since “relevance” results in more clicks and thus more bang for the buck, in addition to making the advertising process more effective.

The most potent weapons in the AI arsenal are deep learning, machine learning, and natural language processing. These weapons are a marketers dream when deployed for a focussed purpose.

Every marketer works with data or information about customers or prospects. When that information gets analyzed to create logical and usable inference through segmentation or lead scoring, it becomes highly useful. Now let’s take the dive into those winsome dozen AI applications that can help you market better.

1. Search

AI based search

Search has revolutionarily changed over the years and has slowly become a bigger challenge for marketers in terms of search engine optimization and how marketers create and market their content. This is the result of AI taking over, and most important deployments that have contributed this are Google’s RankBrain and voice search.

Prime examples of voice search are Amazon’s Echo, Google’s Home devices in addition to Microsoft’s Cortana and Apple’s Siri. These have a simplified search where simply pressing a button and using your voice gives you desired results.

According to a Google blog, about 70% searches that Google Assistant handles are in conversational and natural language. People do not use keywords to search through voice as they do in a classic Google search.

This has become a huge challenge for SEO. Classic keywords and the long-tail ones go out of the window, and the use of conversational keywords has risen. So content now becomes a conversation instead of being monotonous, well-written or informative. Creating a balance between these factors is a huge challenge for content marketing.

2. Search Engine Marketing

search engine marketing

As I had mentioned above, search engine marketing is probably the most benefitted by the use of AI technology. Digital advertising has come a long way in predicting and delivering relevant advertisements to users on both, the Google AdWords platforms as well as Facebook Ads.

Data collected from search [Google] and interests [Facebook] and a combination of both is processed through AI for demographic as well as personalized information collected over time, analyzed and used in a focussed manner to deliver those advertisements. In fact, today there are many third-party AI platforms like AdText that are evolving to serve the purpose more effectively.

3. Chatbots


Across the globe, major brands and websites have begun to converse with visitors and customers through third-party apps like Facebook Messenger, WhatsApp or Slack. The delivery of messages and replies becomes faster instead of waiting on phone-calls.

Today, many websites have followed suit and offer Chatbots on their website frontend to understand and process visitor queries. These Chatbots are AI-powered and most of them are capable of understanding and responding to open questions asked in vocal language.

Chatbots comes with some major advantages – saves on human time, they are available 24/7 and retain data. Another great advantage is that they can handle multiple queries at the same time, so a customer or visitor need not wait on an IVR forever.

One of the best examples of Chatbot implementation is Sephora. It uses a beautiful Chatbot to offer excellent cosmetic products, based on some great beauty advice. With the Sephora Visual Artist, one can test cosmetics like eye-shadows and lipsticks. It is capable of identifying facial features and uses augmented reality technology [AR] to apply the chosen product on a user’s photograph. This Chatbot actually mimics a sales representative. It cannot get any better, can it?

Chatbots are self-learning tools that are not expensive to create.

4. Creating and Generating Content

content marketing

Yes, creating content is no more a challenge, of course, none of the AI tools are perfect enough to do that. Human intervention and editing is inevitable.

An AI cannot write about politics or happening news or even a blog post. However, it is capable of creating content useful for a website. No wonder then Forbes, Associated Press and other brands like The New York Times, CBS, BBC, Washington Post, and Reuters is making the most of its limited capabilities. They mostly put it to use to create and write reports using available data.

There are a few intelligent tools like Quill, Wordsmith, and Articoolo amongst many others that are being used by the above-mentioned brands.

If you follow the Washington Post, you will find hundreds of articles in there are credited with Heliograf – an artificial intelligence technology, used by them.

5. Content Curation

content curation

AI may not be able to generate content perfectly, but it can curate it accurately to show relevant content to visitors and customers.

Content curation using AI is normally used for personalized content recommendations. A typical example is “people who buy X also buy Y,” as we consistently see on Amazon. Another fantastic example is the Netflix recommendation system that suggests movies and TV shows that could interest you.

You can see that both the recommendation engines are pretty accurate.

6. Email Marketing

email marketing

Personalization is the key to email marketing. And by personalization, I do not mean something as primitive as mail-merge to change names, addresses or greetings, it is at a much deeper level and helps establish the right connect with a customer or visitor.

This also involves machine learning technology that analyses tonnes of data and concludes the right date and time to deliver the email, the frequency of emails that a recipient prefers the kind of content that he/she likes the most.

Implementing AI into email marketing can get you more clicks and thus more business.

Tools like Phrasee, Boomtrain, and Persado are a few tools that can help you integrate AI into your email marketing campaigns.

7. User Experience

user experience

UX or User Experience is one of the most sought after factors for conversions through a website. AI empowers marketers to personalize website experience. Of course, this involves insights into terabytes of data that may include devices, location, demographics, interactions, etc. The end product or UX can be customized according to the results.

A good UX results in repeated visits to the site and improves the chances of conversion. For example, Chatbots are a great medium to enhance UX and interact with the visitor.

8. Web Design

web design and development

Web design no more depends on the programmers or a designer. Today, you can design and deploy a wonderful website using tools like Grid. It uses AI to create a website in no time using inputs like text, CTA’s and images. This actually saves on price, time as well as resources. If you are looking to migrate to the cloud or have not already embraced cloud computing, you may have to positively think towards putting your website on a cloud hosting platform for best performance.

9. Speech recognition

natural language processing

AI-powered, voice-activated devices are flooding the markets all around us. And, these are a challenge for marketers because these devices understand most dialects and are very accurate, and it is overtly difficult to get into voice-activated search results.

AI-powered natural language processing algorithms have grown to be over 95% accurate and Baidu claims an accuracy rate of 97%. Using AI, these devices today, are able to interpret requests correctly and provide the required information with accuracy.

10. Audience Segmentation

lead segmentation

As we spoke about personalization above, the need to segment the market data is of prime importance before applying AI to it. The more granular the segmentation, the better the personalization and marketers have to realize that this seemingly unimportant task until now, has taken the front seat to get better results from their efforts.

In fact, AI is also adept at segmentation and targeting, if you can set your standards accurately and apply them to the AI. Deeper the standards, better will be your segmentation. Complex segmentation also involves AI at the level of sentiment analysis to create buyer personas.

People are changing, so is your competition, which means, sticking to static segmentation is not going to work anymore. Dynamic segmentation involves AI and behavioral analysis becomes critical to better segmentation.

Let us say, I at 50, want to buy a gift for a 7-year-old, a static segmentation may not be the right choice, while a dynamic one will put me in the right segment depending on real-time data and behavioral analysis. Better segmentation results in better targeting and the results are obvious.

11. Augmented Reality

augmented reality

Augmented Reality or AR is an outcome of computer vision which a process of programming computers to ‘see’. And the computer would collect and process the videos and digital images that it captures from the process.

Absolutely perfect computer vision programming involves huge data sets of data processed through machine learning. This results in training a machine, robot or a computer to identify or recognize objects.

Accuracy of computer vision is critical to developing a good AR and its applications in marketing. AR is a layer over computer vision and is highly dependent on it for AR to work effectively.

For marketers, this empowers them with AR advertising that can integrate with the target’s environment without being intrusive. AR can open up new avenues of marketing like offers, product insights, shopping, etc. in a highly effective and powerful manner.

AR is already being used by a few furniture, beauty, and home improvement businesses like Home Depot, Lowe’s, Ikea, L’Oreal, Sephora (as discussed above in Chatbots [3]), Estee Lauder, Lenskart, etc.

12. Predictive Analysis

predictive analysis

Predictive analysis is the use of statistical algorithms and machine learning over huge data sets of data to predict future conclusions and the probability of buying or selling.

There are innumerable uses for predictive analysis and resulting models as you can see. However, in the case of marketing, predictive models can be used to determine if a specific visitor will convert or not, or how many visits will it take for him to convert, etc.

The criticality of predictive analysis is that it highly dependent on the data you feed it. Like most marketers who have tons of outdated data, will not be able to make proper use of predictive analysis. The probable mistakes in your data or the data that is no good for the present market will give you useless models.

The best marketing example of predictive analysis is the way you rank or lead-score your prospects. A predictive analysis applied to such data can give you insights like who could be a “qualified client”. Acting on such information becomes much easier for sales with focussed priorities.

Ready to transform your marketing for the better?

AI Marketing is where the future is. The benefits of better decision making have always been valuable learning for all of us marketers. AI helps you make better decisions about your digital marketing strategy. Choosing a modernistic, AI integrated digital marketing agency is the best way ahead for your business instead of replacing teams to learn any new marketing initiatives.

In the posts that follow, we will look at how AI-based marketing can help your efforts in SEO, SEM, SMM, and other areas, individually.

Get in touch with us, to discuss further.