The role of AI in influencer marketing: How it’s changing the marketing landscape

Influencer marketing has dramatically changed the field of advertising. The impact of influencers has grown at an unprecedented rate over the last few years. As a result, both consumers and brands are heavily invested in assessing what influencers say, and their preferences and opinions, in general. While brands are using influencers to gain the trust of their hundreds to thousands of followers, consumers rely on influencers to make several decisions related to their everyday product purchase. The sense of relatability present in the content of nano and micro-influencers is making consumers trust them the most.

According to reports, influencer marketing in India was valued at around Rs 12 billion in 2022. It is estimated to reach Rs 28 billion by the end of 2026. Clearly, influencers will continue to dominate the digital space, and businesses will keep on developing new ways to harness their incredible influencing capabilities.

However, currently, brands are struggling to identify authentic influencers to promote the vision and mission of their business. It’s not about which influencer has a blue tick (on Twitter) or millions of followers, it’s about who has better engagement rates. Last year, nano influencers registered an engagement rate of over 5%, higher in some cases than people with more followers. Plus, manually scanning through innumerable influencer profiles to assess their credibility and performance might not be time-efficient and effective. Moreover, hiring reputed agencies to perform these tasks can put a company under a lot of financial burden.


Can AI help? Many brands have already started leveraging innovative AI tools to find the most dependable influencers and produce content that directly speaks to their audience.

In today’s day and age, data and analytics have become critical tools for measuring engagement and growth rates, and AI has excelled in using these metrics for generating quantitative results. This data can be further used in addressing concerns like – which influencer to approach, which social media platform to use, measuring the success of the campaigns, and implementing unmatched marketing strategies.

Here are the emerging ways:.
1) Discovering the right influencers – In a vast pool of influencers, it’s not easy for businesses to find the most reliable influencer for their product line. AI-powered tools gather and analyse social media data to identify the influencers who can perfectly align with the brand’s products, vision, services and campaigns. To do so, they consider various factors like engagement rates, follower count, relevance to the brand and overall credibility. This makes the search process easier and brands can then verify the information before taking final action.

2) Detecting frauds – In the competitive influencer market, buying fake followers is a creeping issue. When brands engage with such false influencers, they end up incurring heavy losses as the entire marketing budget gets invested in the wrong people. AI can help by monitoring the reasons for a sudden spike in the number of followers, and companies can use this data to ascertain the genuineness of the influencer.

3) Creating and streamlining content – High-tech AI tools can also lend a hand in automating the content creation process. Whether it’s an image, video, script or a creative copy, with appropriate prompts in an AI bot, you can get aid to content. In addition, artificial intelligence can customise the content to meet the needs of influencers. This promises better engagement rates and return on investments.

Many AI-powered tools are also capable of crafting virtual influencer avatars with animated or CGI-based characters that can operate anytime and anywhere. Lil Miquela is one such virtual influencer who has more than 3 million followers on Instagram and has already worked with renowned brands like Calvin Klein and Dior.

4) Optimising campaigns – AI can also optimise the campaigns by offering real-time insights about the traffic on the influencer’s channel and the behaviour of the viewers. This can further help businesses in understanding what’s working and which area needs to be improved for a specific campaign to succeed. Additionally, the insights can be used for altering marketing strategies. For instance, beauty brands can use AI to figure out whether the viewers respond better to “Get ready with me” reels or Instagram live tutorials so that the influencers can generate their content accordingly.

AI sure can support multiple data-driven decisions of both brands and marketers. As this technology continues to evolve, it will be interesting to see what more it holds for the marketing landscape.