Monday, November 3

🌟 Today’s Highlights:

• Meta dropped new lead gen AI-powered updates

• LinkedIn wants to make engagement pods ineffective

• Imagine getting guaranteed clicks & leads out of an ad buy

• 📊 Stat of the Day: 4 in 5 consumers need to trust a brand before they’ll even think about buying. (Source: Edelman)

• 💡 Today’s Insight: How digital marketers can prepare for AI browsers

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⚡️ Today’s Headlines ⚡️

💪 Meta added AI-powered updates to its lead gen ads. The new options include AI-powered targeting, verification, and lead nurturing tools for your high-demand Q5 promotions.

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💡 LinkedIn is making it easier to activate Thought Leader Ads. The new app update provides a simplified discovery and promotion process built into Campaign Manager that enables users to easily find relevant posts to boost.

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🥸 LinkedIn is working on its fake engagement problem. It’s been a rising concern in the app (leading to reports of “record platform usage”) in large part due to engagement pods, which the platform aims to make ineffective.

💡 Today’s Insight 💡

How digital marketers can prepare for AI browsers

🗞 TL;DR – Everyone’s launching an LLM-enabled browser these days, which will rapidly change how consumers find your products and services. Search Engine Journal summarized how agentic browsers work and the four big shifts they’ll bring to marketers.

💡 Insight – What’s the difference between these new browsers and the old model? Traditional browsers show you pages and links. Agentic browsers interpret the page, synthesizes it for context, and can complete next actions on your behalf. These can come in fully agentic browsers like OpenAI’s ChatGPT Atlas or Perplexity’s Comet, or more gradual updates like Google’s Gemini boosts to Chrome.

Here are the four big shifts marketers should expect:

Agentic flows reduce list-based search and discovery. Instead of focusing on page and place ranking, marketers need to optimize for getting selected by an agent looking to match the user’s preferences and query.

Content needs to be optimized for LLM agents. You’re now writing for two audiences: the human and the agent that’s parsing, validating, and acting.

Agents may mediate more of the CRM and first-party data processes. Make sure to have earlier consent checks, clean APIs, and structured data for agents to hand off context and trigger next best actions.

Traditional click paths become muddy with agentic browsers. instead, define agent-mediated events, track handoffs between agents and your systems, and update your models so agent actions can be found and credited.

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