Thursday, April 23

🌟 Today’s Highlights:

• Threads is adding Live Chats to boost real-time engagement

• A sneak peek at OpenAI’s ChatGPT Ads Manager interface

• GrowthBench wants to give you a free martech tools audit

• 📊 Stat of the Day: US consumers will spend just as much time on Facebook as they will on Instagram daily this year. (Source: eMarketer)

• 💡 Today’s Insight: AEO metrics every marketer should track in 2026

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⚡️ Today’s Headlines ⚡️

💬 Threads is adding Live Chats to boost real-time engagement. The idea behind the new feature is to help make the app feel more timely and relevant, with the first Live Chats being launched within the NBA Threads community during the Playoffs to a small group of creators.

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👀 Advertisers are posting sneak peeks of OpenAI’s ChatGPT Ad Manager. From the early screenshots and screen recordings, you can see the options to create campaigns, ad groups, budgets, CPC limits, conversions, and more.

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🎥 WooCommerce stores can now sell products directly via YouTube videos. The Google for WooCommerce extension now enables merchants to tag products in YouTube videos and Shorts to appear as shoppable cards during playback and in a dedicated shopping tab on the channel.

💡 Today’s Insight 💡

AEO metrics every marketer should track in 2026

🗞 TL;DR - Answer Engine Optimization (AEO) is becoming increasingly more important as Search turns to AI-driven answer engines such as ChatGPT, Gemini, Perplexity, and Copilot. But the measurements we’ve carried over from traditional SEO aren’t always the most applicable or best for AEO. HubSpot outlines how you should approach AEO metrics and which ones you should care about in 2026.

💡 Insight - Traditional SEO metrics (rankings, clicks, traffic) are becoming incomplete and often misleading in an AI-driven search landscape. AEO requires a new measurement framework because visibility increasingly happens inside AI answers, not on your website, meaning you can influence buyers without generating a click.

HubSpot introduces a shift from tracking traffic to tracking presence, prominence, and impact inside AI systems. The core AEO metrics you should care about are:

• Citation rate: How often your brand appears in AI-generated answers

• AI share of voice: Your visibility vs. competitors in those answers

• AI referral traffic: Visits coming from AI tools (often undercounted in analytics)

• Conversion quality: AI-driven traffic tends to be lower volume but higher intent

• Sentiment & positioning: How AI describes your brand (e.g., “leader,” “affordable”)

The key challenge is attribution. AI visibility often doesn’t show up in standard analytics, creating blind spots where marketing impact is happening but not being measured.

Ultimately, AEO measurement is about answering a new question:
👉 “Are we being recommended when it matters?” not just “Are we getting clicks?”

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