AI pilots are over. The teams pulling ahead in 2026 are the ones moving into production — and the ones still asking "where do I even start?" are falling behind.
In this webinar, Kevin Li, SVP of Product at Optimizely, and Taige Eoff, Datai & AI Practice Lead at Google Cloud, cut through the noise on what's actually tripping marketing teams up on the road to AI adoption.
No architecture deep dives. No theory. Just the use cases, the learnings, and the patterns that are working right now— including a live look at how Optimizely Opal, built on Gemini and integrated with Gemini Enterprise, is being used in production today.
You'll learn:
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Why process is the real blocker— before an agent can do it, you need to know what "good" looks like. Most marketing teams haven't written that down yet, and that's where AI adoption stalls
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Why consensus is the product— in enterprise marketing, the end deliverable isn't a campaign asset. It's alignment. Agents are now helping teams get there faster
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What's below the waterline— the most exciting AI opportunity isn't doing existing work 10–20% faster. It's unlocking the work that was never possible until agents came onto the scene
The three use cases covered, plus a demonstration of how Opal solves these with Google Cloud technology:
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Quality content at scale
Need to generate account-specific, pixel-perfect landing pages? This used to be unheard of in account-based marketing.
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Automated compliance checking
Opal can now route every piece of content through three agents— an accessibility agent, compliance agent, and tone of voice agent. This means faster approval and quicker time to market.
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GEO and AEO readiness
Every marketer is asking how to get cited correctly in AI overviews and Gemini responses. Opal's purpose-built GEO agent takes a URL as input and returns a prioritised, step-by-step action plan, acting as the translation layer between marketing and technical teams.
Thanks for watching on demand!
