In the rapidly evolving world of Revenue Operations (RevOps), the use of AI-powered tools is fundamentally changing how teams work. One of the leading platforms in this space is HubSpot—with features that are redefining customer relationship management (CRM). Particularly noteworthy are the HubSpot Deep Research Connector and Breeze AI.
Content
- What is the HubSpot Deep Research Connector?
- The rise of AI in Revenue Operations
- No AI value without clean CRM data
- Benefits for Revenue Operations teams
- Concrete benefits for sales and marketing teams
- Changing skill requirements in Revenue Operations
- Key learnings from consulting at SUNZINET
- Practical examples from everyday use
- Conclusion
What is the HubSpot Deep Research Connector?
The HubSpot Deep Research Connector harnesses the power of OpenAI’s ChatGPT to bring advanced AI capabilities to the HubSpot CRM. It enables precise, data-driven analysis that would otherwise require extensive manual effort. With this technology, Revenue Operations teams can easily make data-informed decisions and enhance their customer relationships.
Key feature: The integration even works with the free HubSpot CRM. However, EU users need a ChatGPT Team, Enterprise, or EDU plan.
The rise of AI in Revenue Operations
With Breeze AI and the HubSpot Deep Research Connector, HubSpot is embracing powerful AI integration that enables teams to work faster and more accurately. These solutions offer seamless communication with your HubSpot CRM, allowing tasks that once took days to be completed in minutes. By analyzing thousands of customer interactions, insights and strategy documents are delivered automatically and in context—a true game-changer for any Revenue Operations team.
But beware: No AI value without clean CRM data
The impressive AI features of HubSpot only deliver their full potential when built on a solid CRM foundation. If data is incomplete or inconsistent, even the best AI can’t generate meaningful insights. To unlock the full power of the HubSpot Deep Research Connector and Breeze AI, teams must first do their CRM homework:
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Ensure data quality
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Standardize processes
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Define responsibilities
Benefits for Revenue Operations teams
When the data foundation is solid, the HubSpot Deep Research Connector and Breeze AI offer numerous advantages:
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Increased efficiency: Automate complex tasks and generate insights faster.
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Better customer understanding: Gain deeper insights into behaviors and needs.
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Data-driven decisions: Identify trends and develop effective strategies.
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Intuitive use: With ChatGPT integration, your CRM becomes a conversational partner.
Concrete benefits for sales and marketing teams
- Sales teams can focus more on the actual sales process instead of wasting time on manual research or reporting. The AI delivers instant answers to questions like:
“Which deals are at risk?” or “What arguments work best for handling price objections?” - Marketing teams gain new opportunities for creative campaigns and precise audience targeting. Instead of digging through Excel spreadsheets, they can simply ask—in natural language—which channels, personas, or content formats are performing best, and receive immediately actionable insights.
Changing skill requirements in Revenue Operations
With the rise of AI, the skill requirements for Revenue Operations teams are evolving. The focus is shifting away from pure tool expertise toward strategic thinking and customer centricity. Key future skills include:
- Strategic thinking: Translating data into effective actions.
- Customer centricity: Understanding and shaping customer relationships.
- Analytical skills: Interpreting data and identifying patterns.
- Adaptability: Embracing and advancing new technologies.
Key learnings from consulting at SUNZINET
Through the many projects we've led at SUNZINET in the area of Revenue Operations, we've identified several key insights:
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Data quality is critical: Only with clean, structured data can AI solutions like the HubSpot Deep Research Connector reach their full potential. A well-organized CRM enables more precise, faster, and more relevant insights that significantly support team performance.
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Transformation of workflows: The introduction of AI doesn’t just change the tools—it changes the way teams work. Teams need to learn how to quickly move from data-driven insights to strategic action. This means that technical skills alone are no longer the main requirement—strategy and creativity are becoming increasingly important.
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Process optimization through standardization: To fully benefit from AI and automation, processes must be standardized and responsibilities clearly defined. In many projects, we’ve seen how vital a clear process structure is to maximize the efficiency and quality of AI-powered analysis.
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Training and development: Revenue Operations teams need continuous training to keep up with new technologies and tools. The implementation of AI solutions often requires a shift in mindset and working methods. It’s essential to build a culture of ongoing learning and development.
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Customer-centric approaches enabled by AI: A core benefit of AI tools like the Deep Research Connector is the ability to better understand customer data and rapidly implement personalized and strategic actions. The better you understand your customers' needs, the more effectively and sustainably you can grow.
Practical examples from everyday use
Here are some concrete prompts that highlight the value of AI in action—inspired by Ben Harmanus:-
“Identify the persona that converted from lead to customer the fastest in the past 90 days. Recommend key attributes for targeted messaging.”
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“Segment contacts by source (e.g., webinar, content download, paid social). Compare conversion rates and identify the highest-performing cohort.”
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“Compare lifecycle stage transitions of all contacts from Q1 and Q2. Identify stages with the highest drop-off rates and suggest actions to reduce them.”
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“Analyze lost deals tagged with ‘pricing.’ Summarize the three most common objections and create a rebuttal script.”
Conclusion
The HubSpot Deep Research Connector and Breeze AI are more than just technical features—they represent a strategic shift in how we embrace and operationalize customer centricity. The key to success, however, lies in data quality: only those with a clean, well-structured CRM can unlock the full power of AI.
At SUNZINET, we witness every day how these developments are reshaping the industry. Anyone who wants to lead in Revenue Operations must actively embrace new tools and new ways of thinking, and take their data foundation seriously.
