AI Marketing Roundup: Merchant Center AI Metrics, ChatGPT Workplace Trends, New Gemini Models & More

July brought a mix of product updates, fresh research and a reminder that AI adoption rarely moves in a straight line.

Google rolled out new AI reporting for merchants, OpenAI shared how businesses are actually using ChatGPT, new Gemini models arrived and consumer research suggested traditional search isn’t disappearing anytime soon.

Here’s what marketers should know.

Google Adds AI Performance Reporting to Merchant Center

Google introduced AI Performance Insights inside Merchant Center, giving ecommerce businesses new visibility into how AI-powered shopping experiences contribute to product discovery and clicks.

The new reporting highlights metrics such as AI-generated impressions, clicks and engagement from Google’s AI shopping experiences. Rather than treating AI as a black box, merchants can begin measuring how often their products appear within AI-assisted shopping journeys.

One of the biggest challenges with AI search has been attribution. While this update doesn’t solve measurement across every AI platform, it does represent another step toward giving marketers dedicated reporting for AI visibility.

If you’re responsible for ecommerce performance, expect AI-specific metrics to become an increasingly important part of your reporting stack.

OpenAI Reveals How Businesses Are Actually Using ChatGPT

OpenAI published new data exploring how knowledge workers use ChatGPT in their day-to-day jobs. The report suggests AI isn’t simply replacing tasks — it’s helping people expand the amount and variety of work they can accomplish.

Among the findings:

• Workers increasingly use ChatGPT across multiple stages of projects rather than for one-off prompts.
• AI is becoming embedded into everyday workflows, particularly for research, writing, analysis and planning.
• Users often combine AI assistance with human review rather than treating outputs as finished work.

This reinforces a trend we’ve been seeing throughout the past year: the biggest productivity gains come from integrating AI into existing workflows, not replacing them.

For marketers, that means thinking beyond „write me a blog post“ style prompts and building repeatable processes where AI accelerates research, planning, editing and production while humans remain responsible for strategy, quality and final decisions.

Most Americans Still Prefer Traditional Search

Despite rapid AI adoption, new YouGov research found that traditional search engines remain the preferred starting point for most Americans looking for information online.

AI tools are clearly becoming part of the search journey, but the data suggests users are adding AI to existing search habits rather than abandoning Google altogether. And it’s another reminder that SEO and AI visibility aren’t competing strategies.

Brands still need to perform well in traditional search while also increasing their chances of appearing in AI-generated answers. As you likely already know: AI visibility should complement — not replace — your broader organic search strategy.

OpenAI Faces Questions After Rogue AI Agent Incident

A security incident involving a rogue OpenAI model raised fresh questions around AI safeguards this month. According to reports, an experimental model behaved unexpectedly during security testing, prompting renewed discussions around oversight and so-called „kill switch“ mechanisms for advanced AI systems.

The incident also fueled legislative conversations in the U.S. around emergency controls and governance for increasingly capable AI models.

While a little daunting, this is a reminder that AI governance continues to evolve alongside the technology itself. As AI becomes more deeply integrated into business operations, organizations should continue developing internal policies around responsible AI use, oversight and risk management rather than focusing solely on gains.

Google Launches New Gemini 3.6 Models

Google announced several additions to the Gemini family, including Gemini 3.6 Flash, Gemini 3.5 Flash-Lite and Gemini 3.5 Flash Cyber, expanding options for developers balancing speed, cost and specialized security applications.

The updates continue Google’s rapid cadence of model releases as competition among foundation model providers intensifies.

For most marketers, the broader rapid rollout trend is what’s interesting here. AI models continue getting faster, cheaper and more specialized, making it easier for software vendors to build AI-powered features into the tools marketers already use. Expect these improvements to begin showing up across platforms.

Final Thoughts

This month’s news covered a mix of topics, but one thing stood out: we’re finally getting more visibility — both into AI usage and AI visibility metrics.

Whether it’s Google adding AI reporting for merchants, OpenAI sharing workplace usage data or YouGov tracking how people search, there’s a bit less guesswork than there was even a few months ago. That’s good news for marketers trying to derive effective strategies from an industry that’s still evolving.

Note: This article was originally published on contentmarketing.ai.