This is our monthly newsletter for friends and family of Mason — what's happening in the industry, trends we see across our portfolio, and pertinent goings-on here.
A quick note: We were nominated for our first Clio Award for the Laurent Ferrier campaign; Mike Melia and I are speaking at Eastern Connecticut State University on AI and virality; Jenna spoke at the State of Search conference about AI search.
- Meta's biggest shift since 2020 is here
- Why AI search is reshaping discoverability in online shopping and brand discovery
Meta's Andromeda Update
In the last few months, Meta rolled out its biggest update since iOS 14. Before 2020, targeting was partly fueled by phone data — if I was reading about Cowboy boots on GQ, that data could be sold to Meta. Ropers could build a micro-targeted audience of fashion-literate boot shoppers. iOS 14 ended that signal.
Best-in-class ads from that era tested CTAs — "50% OFF" vs. "Most Comfortable Boots Ever" vs. "SALE ENDS SOON!" vs. "All-Day Cowboy Comfort" — against niche audiences. Those tests still matter. But Meta now treats all four as functionally one ad and penalizes the lack of creative diversity.
What's different with Andromeda?
Creative is now a key audience signal — equaling or exceeding pre-iOS 14 targeting. If you want to reach people who prioritize style, comfort, or durability, your creative must do the lifting.
- More creative. 3–5 totally unique assets per $5K in spend. Spending $50K? You need ~40.
- Video first. Video feeds the AI with far more signal than static images.
- Persona-specific messaging. Creative must speak to the exact customer you want.
AI Search
Customers ask complex questions before visiting your website — "Best suits for a summer wedding," "Most luxurious bag," "Is XYZ brand durable?" — and get an AI overview instead of clicking links. Discovery is happening before the click.
Websites must be structured to be retrievable by LLMs: clearly defined, well-cited, semantically reinforced. We need to optimize for AI-generated answers, citation frequency, and topical authority — on top of the fundamentals.
- LLMs.txt governance matters
- Structured data matters
- Clear brand positioning matters
- Brand consistency across the web matters
What do Andromeda and AI search have in common? Both add complexity on top of existing best practices. It's not about doing more — it's about layering on brand authority infrastructure.
- Over-targeting niche audiences
- Optimizing to last-click only
- Creative diversity
- Structured authority
- Clear positioning
- Persona specificity