Most teams think they’re optimizing.

Most advertisers approach paid search with the assumption that the system is designed to help their business succeed.

It’s not.

To understand why advertisers increasingly need their own AI systems, it’s important to understand how the Google ecosystem actually works.

Google Ads has always been predictive.

What’s changed is how prediction happens.

The platform has moved from rules-based execution to machine learning systems and now to AI-driven interpretation. Each layer operates differently. Each requires different inputs. Most advertisers have not adjusted.

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."

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.  

AI has undeniably changed how brands understand their customers and interact with them.  Today's AI understands consumer motivations more deeply than what is typed into a search box.  Gone are the days when all you had to do was embrace the established definitions of search intent.  Now to compete successfully in the Paid Search channel you must embrace the role of AI, customize your ad copy to specific customer motivations, and do it at scale.  

The deprecation of ETAs are a continuation of a Google strategy to automate the paid search customer journey using NLP and Machine Learning technology.  As innovations in AI advance, search engines are leveraging these technologies to enhance user experience by understanding the relationships between words in user queries and advertiser content in order to generate the best possible customer journey for every query.