Connecting brands with the right influencers is a task in itself and there is no question about the importance of getting it right. For small brands especially, finding the right influencer that hasn’t grown so much they have become unaffordable isn’t always easy. This is where artificial intelligence (AI) could come into play. In a paper titled ‘Machine Learning techniques for Brand-Influencer Matchmaking on the Instagram Social Network” published on, researches describe an AI system that can predict the “most fruitful” partnerships between influencers and brands. The paper states if the wealth of data that exists on social media were to be harnessed, it could, with a little ingenuity, be used to facilitate brand-influencer matchmaking. “Not only would this help companies find content creators that align with their brand image, it would also provide an opportunity for the small-time creators to monetise their posts, further encouraging the creation of high-quality future content,” said the authors.

How does it work?

The authors of the paper focused on Instagram influencers specifically. The researchers built a content analysis tool for user and target brand profiles. The researchers then sampled 20 unique user accounts with five content themes: dogs, cats, mountains, cars, and pizza, and downloaded the brand profiles, which each serve markets that fall into one of these categories.They then applied an image classification algorithm to analyse the content to extract common themes, which output a list of the five most likely tags for each image. Then, the three most likely tags were compiled into a ‘string’ for each user. Finally, the influencer and target brand data were fed into a model that suggested matches.

The results

The results indicated that the algorithm, when presented with a variety of potential influencer profiles, is able to identify those profiles that are most closely aligned with a particular brand. There is more work to be done, as the researchers said the AI hasn’t yet been tested on less distinct categories and predictions rely on accurate tagging but the image classification algorithm. By incorporating additional user data, using a better image analysis engine and allowing for manual input of what a brand is looking for in an influencer, things could be improved.

This AI could encourage the creation of high-quality content in the future and save brands time and money. It is an exciting step towards an automated influencer finding system and it will be exciting to see what the future holds.

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