Instead of being intimidated by unfamiliar marketing tactics like creating animated GIFs, use AI platforms as on-demand tutors. Ask the AI to provide step-by-step instructions tailored to your specific software stack (e.g., MailChimp, HubSpot) and skill level, eliminating the "how-to" barrier for implementation.

Don't feel pressured to label every AI-powered enhancement as an "AI feature." For example, using AI to generate CSS for a new dark mode is simply a better way to build. The focus should be on the user benefit (dark mode), not the underlying technology, making AI an invisible, powerful tool.

To effectively serve SMBs, B2B marketers must evolve their approach from collaboration ('do it with them') to automation ('do it for them'). SMB owners are not marketers and lack the time and staff to manage complex tools. The most valuable service is one that simplifies complexity and leverages technology to execute marketing tasks on their behalf, empowering them to achieve more with minimal direct involvement.

The most powerful use of AI for business owners isn't task automation, but leveraging it as an infinitely patient strategic advisor. The most advanced technique is asking AI what questions you should be asking about your business, turning it from a simple tool into a discovery engine for growth.

SaaS companies serving SMBs in non-tech industries can create a new revenue stream by offering a managed service—using humans-in-the-loop but framed as an "AI boost"—to run marketing campaigns for them. This provides immense value and captures more of the customer's budget.

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.

Moonshot AI's CEO effectively sells his product by "vision casting"—framing it not as an e-commerce tool but as a partner that enables businesses to thrive. This focus on the ultimate outcome, rather than product features, resonates deeply with customers and powerfully articulates the value of a complex AI solution.

The most effective application of AI isn't a visible chatbot feature. It's an invisible layer that intelligently removes friction from existing user workflows. Instead of creating new work for users (like prompt engineering), AI should simplify experiences, like automatically surfacing a 'pay bill' link without the user ever consciously 'using AI.'

To get mainstream users to adopt AI, you can't ask them to learn a new workflow. The key is to integrate AI capabilities directly into the tools and processes they already use. AI should augment their current job, not feel like a separate, new task they have to perform.