In the ever-evolving landscape of Paid Search advertising Broad Match has emerged as a key player, touted by both Google and Bing as the gateway to expanded reach and enhanced performance. Our data-driven exploration seeks to unravel the intricacies of these offerings and gauge the fulfillment of such promises. Here's what the data tells us about the unique paths Bing and Google are carving through their AI-integrated algorithms and what that means for the future of search advertising.

MotiveMetrics Chief Scientist, Kyle Thomas, joined the AI Chat Podcast to talk about the future of AI in Marketing.  "The human can come up with a creative campaign and AI has the ability to stitch together image generation along with language generation and help bring that vision to life. The trend is not some earth-shattering difference or some new thing we have not thought about. The puzzle pieces are out there and the race is on to make them usable."

Over the last 10 years paid search has evolved from a keyword-targeting system to a match-making system in which content-to-intent alignment as determined by advanced AI models are the primary driver used for audience targeting. This has dramatically increased the importance of ad copy in Paid Search, making it more important than keywords or match types for audience targeting and performance.  In this post we will review a recent case study that proves unequivocally that ads are the new keywords.

CIO Review, the Navigator for Enterprise Solutions, recognized MotiveMetrics as the "Most Promising AI Solution Provider of 2022" in recognition of its software innovations leveraging AI for Search Intent Based Content Creation.  In fact, MotiveMetrics has been leveraging AI for understanding consumer behavior and developing motivational messaging tailored to target audiences since it was founded in 2015, long before ChatGPT became the rage in Q4 2022.