What does AI in email marketing mean for deliverability?

AI in email marketing affects deliverability in two ways. First, AI-powered spam filters now evaluate content quality and intent, not just technical signals. Second, AI inbox systems like Gmail's Gemini rank messages by relevance within the inbox itself. An email can pass spam filters and still be deprioritized if the subscriber's engagement history suggests they don't find your content valuable. Good deliverability now means both reaching the inbox and landing prominently inside it.

How does Gmail's Gemini decide which emails to prioritize?

Gmail's AI Inbox uses behavioral signals specific to each subscriber: how often they've opened your emails, whether they've clicked, whether they've added you to contacts, and what their past interaction patterns suggest about the relationship. Senders with strong engagement histories consistently land higher in the prioritized view. Senders with low engagement get progressively less visibility, even when their emails technically reach the inbox.

Do I need to rewrite all my emails because of AI inbox changes?

No. You need to audit your email structure and opening lines, not rebuild everything from scratch. The most important changes are practical: front-load your key message in the first sentence, make sure your HTML uses proper markup with text-based CTAs rather than image-only designs, add alt text to all images, and include a plain-text version. These changes apply to your templates going forward, not retroactively to past sends.

How to use AI in email marketing effectively in 2026?

The five most important best practices right now are: putting your value proposition in the first sentence of every email, using clear HTML structure that AI can read and summarize, segmenting your list to prioritize engaged subscribers, measuring revenue and conversion instead of open rate, and maintaining full SPF, DKIM, and DMARC authentication. Each of these improves your position both with AI inbox systems and with the humans reading your emails.

Is open rate still a reliable metric after Gmail's Gemini update?

Open rate is now less reliable than it was. Gmail auto-opens emails to generate AI summaries, which some platforms record as human opens. This inflates open rate figures without reflecting actual human engagement. The metric isn't useless, but it shouldn't be your primary KPI. Focus instead on click-through rate, conversion rate, and revenue per recipient as your primary indicators of genuine engagement and campaign performance.

Julia Matuszewska

Technical Content Specialist & AI Consultant

Julia combines content marketing, generative AI, and prompt engineering with a creative, human-centered approach. At MessageFlow, she develops data-driven content strategies and implements AI solutions that boost efficiency and support creativity. With a background in comparative literature, she brings together analytical thinking and human insight. Before joining MessageFlow, she delivered over 25 AI projects across industries, turning emerging technologies into practical business solutions. A frequent conference speaker, she promotes the ethical and purposeful use of AI. Her mission is to empower people to become true “AI agent bosses” – leading technology, not following it.

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