What the blog covers:
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Key insights from the 2025 SMB AI Adoption Survey and what they reveal about digital maturity, trust in AI, and shifting perceptions around automation.
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Why messaging, transparency, and education matter when introducing AI tools to internal teams and B2B clients.
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Practical ways marketing managers can start using AI to save time, improve performance, and lead confidently in a changing landscape.
AI is gaining traction among small and medium-sized businesses (SMBs), becoming a valuable tool for boosting productivity and simplifying operations. As adoption increases, there’s a growing need for clear understanding, practical application, and confident leadership, especially from marketing managers guiding digital strategy.
In March 2025, Localogy and Duda released their AI for SMBs: A Reality Check survey, featuring responses from 754 SMBs across industries. The findings offer a grounded look at how AI adoption is unfolding, what’s working, and where opportunities exist for better support and communication.
In this blog, we unpack the key takeaways and explore what they mean for marketing managers responsible for keeping their organisations competitive and future-ready.
Key Findings from the Survey
| Insight | Why It Matters |
|---|---|
| 92% of SMBs already use digital tools | The foundation for automation and intelligent tools is firmly in place |
| 69% have tried AI features | There’s a strong interest in AI, especially for finance, HR, and operations |
| 31% say AI influenced a buying decision | Smart features are influencing vendor selection |
| 60% say AI helps save time and money | The value is clear, although some concerns remain |
| Positive sentiment increases when AI is framed as “automation” | Language matters, especially when introducing new tools |
| 70% want agencies to integrate AI (with training and transparency) | There’s a role to play beyond execution — education is key |
Source: Localogy SMB AI Adoption Survey, March 2025
Why This Matters to Marketing Managers
If you’re a marketing manager at a medium-sized B2B business, this report highlights some important shifts in how your customers and your own team may be approaching technology. Let’s break it down.
1. SMBs Are Digitally Ready
With 92% of surveyed SMBs already using digital tools to manage operations, the leap toward more advanced tools like automation or AI is more natural than many assume. The infrastructure is in place. It’s now a matter of upgrading the way things get done.
What this means for you:
This is the moment to assess your marketing technology stack. Are you still manually pulling reports, writing every campaign from scratch, or managing leads without support? There are tools that can simplify this work without losing the human touch.
2. Words Matter More Than You Think
One of the most fascinating insights from the survey is the shift in sentiment when AI is referred to as “automation” instead. When the exact same features were presented under the automation label, adoption and trust went up.
Our perspective:
Marketers should focus messaging around outcomes. Instead of leading with “AI”, describe the benefit. For example:
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“Automated content suggestions”
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“Smart campaign timing”
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“Tools that reduce admin work”
This builds confidence without introducing unnecessary complexity or fear.
3. Trust Is a Deciding Factor
While many SMBs recognise the benefits of AI tools, others expressed concerns around data privacy, unrealistic expectations, or uncertainty about how results are produced. That doesn’t mean they’re against AI – it means they want reassurance and guidance.
What to do about it:
Help your team and clients understand how tools are used, where human oversight remains critical, and what real-world results to expect. Avoid overpromising. Demonstrate outcomes.
4. Agencies Need to Do More Than Deliver
According to the report, 70% of SMBs believe it’s important for their agency to integrate AI into their services. But that’s not all. They also want training, simplified implementation, and a consultative approach.
At Do Digital, we’ve embraced this shift. We:
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Provide tool training that builds internal capability
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Select tools based on real needs, not hype
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Simplify adoption so clients can see results faster
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Focus on practical wins, like time saved and better lead quality
Practical Use Cases for AI in Marketing
| AI Use Case | Outcome | Tools You Might Use |
|---|---|---|
| SEO content generation | Faster production without compromising quality | Jasper, ChatGPT (refined with human input) |
| Automated reporting | Reduced manual work, increased insight | Looker Studio, Google Ads automation |
| Smart bidding | Improved ROAS with less manual oversight | Google Ads with automated strategies |
| Email journey automation | Personalised messaging at scale | Mailchimp, Klaviyo |
| Predictive lead scoring | More accurate targeting and follow-up | HubSpot, Salesforce add-ons |
These are not abstract or futuristic. They’re already in use today, and can be implemented incrementally based on your goals and team capacity.
FAQs
Should we lead with “AI” in our marketing?
Not necessarily. Focus on the results your audience wants – time saved, easier reporting, better campaign performance – and position tools accordingly.
How can I introduce AI without overwhelming my team?
Start with one workflow. Demonstrate success with something manageable, like automated reporting or subject line generation. Build from there.
What if my clients are hesitant about AI?
Be transparent. Offer examples that are relevant to their business, and explain what happens behind the scenes. Position AI as a support tool, not a replacement for human expertise.
Final Thoughts
The 2025 SMB AI Adoption Survey confirms what we’ve been sensing. AI is no longer a future trend. It’s a current opportunity, and one that requires clear thinking, grounded messaging, and a focus on trust.
As marketing managers, you are well placed to lead this transition with confidence. Whether you’re testing new tools internally or introducing automation to your clients, your ability to simplify, educate and measure impact will be key.
If you need some guidance on this “automation” journey, let’s chat.