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.

ChatGPT, DeepSeek, and other AI models are transforming how we search the web, offering faster, conversational answers that bypass traditional results pages. As OpenAI adds real-time search and shopping tools to ChatGPT, it's raising questions about the future of advertising, content monetization, and Google's long-standing dominance. While LLMs promise a better user experience, they may soon face the same trade-offs around trust, bias, and monetization that shaped Google. Consumers, however, stand to benefit from more innovation and competition in how search works.

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."

MotiveMetrics' Chief Science Officer, Kyle Thomas, joined the AI4 panel on AI Driven Customer Acquisition, Aug 8, 2023 at MGM in Las Vegas. The full panel discussion is available HERE, but our favorite highlights are shown below.

Kyle opened the panel by sharing how the company started during his PhD research in Experimental Psychology at Harvard University. Initially, MotiveMetrics analyzed text from Social Media to develop customer profiles, understand consumer motivations and inform marketing communications. Today, in Paid Search advertising MotiveMetrics' focus is to conquer the "last mile problem" presented by Generative AI systems.