Wednesday, March 25

🌟 Today’s Highlights:

• TikTok ads are about to get a little more disruptive

• Google is bringing Gemini AI-powered tools to its marketing platform

• Is your leadership still operating like it’s 2023?

• 📊 Stat of the Day: Listicles, articles, and product pages drive 52% of AI answer citations. (Source: Wix Studio AI Search Lab)

• 💡 Today’s Insight: The science of how AI picks its sources

😰 Leadership Teams are Lagging Behind the Rest of the Org in AI Adoption

Interviews with more than 400 C-Suites suggest that leadership teams are lagging behind the rest of the org in terms of AI adoption.

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But leadership is still operating like it’s 2023.

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⚡️ Today’s Headlines ⚡️

🎥 TikTok is introducing a more disruptive new ad format. The new “Logo Takeover,” “Prime Time,” and “Top Reach” ad formats aim to showcase partnership with TikTok, credibility, and cultural relevance while giving advertisers a broad reach.

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🛠️ Google is bringing Gemini AI-powered tools to its marketing platform. The new AI elements will provide more recommendations on ad placement opportunities in order to help marketers maximize their Google campaigns.

🎬 Hollywood is changing. Stay ahead with the newsletter from Disruptor Creations — get updates on new films, creative strategy, and the movement rebuilding independent cinema. Subscribe free.

🗺️ Apple is bringing ads to Maps this summer. The system will function similarly to Google Maps — allowing retailers and brands to bid for ad slots against search queries and appearing in Maps search results, similar to App Store sponsored searches.

💡 Today’s Insight 💡

The science of how AI picks its sources

🗞 TL;DR - AI doesn’t select sources the way traditional search engines rank pages. Instead of relying heavily on rankings, it prioritizes content characteristics like depth, clarity, structure, and topical focus, often pulling from sources that may not even rank on page one. Search Engine Journal analyzed 21,000 AI citations to understand the impact of these characteristics.

💡 Insight - The research shows that AI systems favor comprehensive, well-structured, and tightly focused content over thin or overly broad pages. Longer content tends to perform better, but only when it’s organized and relevant not bloated.

Original, authoritative content wins disproportionately. AI models are less likely to cite syndicated or duplicated material (like press releases), instead preferring first-party insights, editorial content, and pages with clear expertise signals.

AI also exhibits source concentration bias – aka favoring a smaller set of trusted, high-authority domains – while still occasionally pulling from less obvious sources if they provide the clearest or most complete answer.

Lastly, but perhaps most importantly, AI citation ≠ SEO ranking. A page can rank well in Google but still be ignored by AI, while lower-ranking pages can be surfaced if they better match the model’s understanding of the query.

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