Don't unleash a generic AI agent on your entire database. To get high response rates, segment contacts into specific sub-personas based on role, behavior, or status (e.g., churn risk). Then, train dedicated sub-agents or campaigns for each persona, allowing for true personalization at scale in batches of around 1,000 contacts.

Websites now have a dual purpose. A significant portion of your content must be created specifically for AI agents—niche, granular, and structured for LLM consumption to improve AEO. The human-facing part must then evolve to offer deeper, more interactive experiences, as visitors will arrive with their basic research already completed by AI.

In an era of information saturation, general advice leads to inaction. By providing highly specific content for a narrow niche, you make your audience feel seen and understood. This drives them to act, allowing you to achieve greater impact with a smaller audience by focusing on depth over width.

Since AI makes coding inexpensive, marketers can now transform static landing pages into interactive games with a single prompt. This novel approach to conversion involves creating a simple game that users must complete to unlock a lead magnet, such as an ebook, increasing engagement and memorability.

Companies can use AI to generate unique, 'ephemeral software' experiences for marketing campaigns. Instead of a generic Spotify Wrapped-style review, businesses can now affordably create a custom, interactive 'unwrapped' summary for each user based on their specific product usage data, costing just cents in tokens.

Acknowledging that "relevance" is subjective shouldn't lead to creating generic, one-size-fits-all campaigns. Instead, it demands a high-volume creative strategy that produces dozens of distinct assets, each tailored to be hyper-relevant to a specific consumer segment or "demand state."

Prototyping and even shipping complex AI applications is now possible without writing code. By combining a no-code front-end (Lovable), a workflow automation back-end (N8N), and LLM APIs, non-technical builders can create functional AI products quickly.

For marketing, resist the allure of all-in-one AI platforms. The best results currently come from a specialized stack of hyper-focused tools, each excelling at a single task like image generation or presentation creation. Combine their outputs for superior quality.

AI tools that generate functional UIs from prompts are eliminating the 'language barrier' between marketing, design, and engineering teams. Marketers can now create visual prototypes of what they want instead of writing ambiguous text-based briefs, ensuring alignment and drastically reducing development cycles.