Agentic AI Comparison:
HubSpot AI vs Make AI

HubSpot AI: 7

HubSpot AI provides autonomy primarily within the context of customer‑facing and revenue operations, rather than as a general‑purpose process automation layer. AI Agents in HubSpot automate customer service across live chat and email, handling routine inquiries and responses, and escalating or routing tickets as needed. AI Assistants can autonomously draft content (emails, blog posts, web copy, reports) and streamline many marketing and sales tasks with minimal human input beyond review and approval. With Breeze, HubSpot introduces Breeze Agents that aim to complete work from start to finish for marketing, sales, and service teams, effectively acting as domain‑specific AI experts. However, these agents operate mainly within HubSpot’s ecosystem and data (Smart CRM, marketing tools, Sales Hub, Service Hub) and do not provide the same level of cross‑stack, multi‑app orchestration that a dedicated integration platform like Make offers. As a result, HubSpot AI delivers strong task‑level autonomy in sales, marketing, and service but is constrained by its platform scope.

Make AI: 9

Make AI emphasizes agentic automation, allowing users to build and customize AI agents that act on high‑level goals, prompts, and data in real time across multiple workflows. These agents can be centrally managed, reused across workflows, and configured to make adaptive decisions rather than simply following rigid rules. Make’s AI agents integrate with numerous LLMs (OpenAI‑compatible models, Gemini, Claude, and others) to support real‑time decision making and complex, multi‑step processes. The platform’s visual orchestration (Make Grid) plus real‑time analytics gives users a live map of every agent, app, and workflow, supporting autonomous operation with monitoring and error handling. Make AI automation scenarios include agents that process text, classify data, generate content, and trigger downstream actions without human intervention, effectively running end‑to‑end business processes. This combination of reusable agents, cross‑system integrations, and adaptive decision logic places Make at the higher end of autonomy among no‑code automation platforms.

HubSpot AI: 9

HubSpot AI is designed as an embedded layer of AI features that sit inside tools many teams already use daily—HubSpot CRM, Marketing Hub, Sales Hub, and Service Hub—so users interact with AI primarily via familiar interfaces: text boxes for AI content generation, buttons to trigger AI suggestions, and configuration screens for AI agents. AI Assistants and Breeze Copilot are intended to make AI ‘easy’ by generating content directly where users work (emails, blogs, landing pages, reports), often in a single click or prompt. AI Agents are configured as part of service workflows, letting users automate responses and routing without building full automation pipelines from scratch. Because HubSpot abstracts most of the technical complexity and focuses on specific, opinionated workflows (e.g., sales prospecting, service ticket handling, marketing campaigns), the perceived ease of use is high for non‑technical marketing, sales, and service teams. Users are not required to think in terms of integration logic or multi‑app orchestration, which simplifies adoption compared with a dedicated automation platform.

Make AI: 8

Make AI uses a visual, drag‑and‑drop interface that requires no coding, aimed at letting business users connect apps and build AI‑powered workflows graphically. The Make canvas (including the Make Grid and AI agent chat interface) allows users to design workflows, configure modules, and test agents interactively by chatting with them and iterating in real time. Make also provides a large library of pre‑built apps and templates, as well as native AI modules that work without requiring users to manage separate AI API keys, reducing setup friction. However, the flexibility and depth of the platform means that complex scenarios can involve many steps, conditional logic, error handling, and data transformations, which may introduce a learning curve for non‑technical users. Overall, it is highly user‑friendly for a powerful automation tool, but some users will need time to fully exploit its capabilities.

HubSpot AI: 7

HubSpot AI is highly flexible within the HubSpot environment, covering marketing, sales, and service scenarios with AI Assistants, AI Agents, and AI Insights. Users can apply AI to content generation, sales prospecting, customer support, forecasting, and analytics, often with configuration rather than coding. However, the primary surface area for HubSpot AI is HubSpot’s own Smart CRM and connected properties; while HubSpot integrates with many external tools through its ecosystem, HubSpot AI is not positioned as a general integration orchestrator for arbitrary third‑party systems, and its agents primarily act on HubSpot data and channels. The newly introduced Breeze Agents aim to automate work from start to finish for core go‑to‑market teams, but they still align with HubSpot’s opinionated workflows and data models rather than providing open‑ended, cross‑platform automation. Consequently, flexibility is strong for HubSpot‑centric businesses but lower if a company’s core processes extend far beyond the HubSpot stack.

Make AI: 10

Make AI is built as a general‑purpose integration and automation platform with extensive AI capabilities, making flexibility its core strength. It supports over 3,000 app integrations and hundreds of AI integrations, including major LLMs like GPT‑4, Claude, Gemini, Grok, and many specialized AI tools. Workflows can include conditional logic, loops, error handling, data transformation, and orchestration across any combination of these apps and AI services, allowing almost arbitrary cross‑stack processes. Make’s AI Agents are reusable and can be invoked from multiple workflows, enabling modular architectures and consistent behavior across use cases. Users can connect not only SaaS tools but also custom systems via APIs or HTTP modules, achieving vendor‑agnostic automation that spans marketing, sales, ops, finance, product, and more. This breadth of integration and depth of workflow control gives Make AI a very high flexibility score.

HubSpot AI: 7

HubSpot AI is typically offered as an embedded capability within HubSpot’s existing Hubs and plans, with AI features such as AI Assistants, AI Agents, and AI Insights bundled into or layered on top of the core subscriptions. Many AI features are included as part of Marketing, Sales, and Service Hubs or available in specific tiers, and some may have usage limits or beta access. For organizations already invested in HubSpot, the marginal cost of turning on AI can be low, since they are paying primarily for the HubSpot platform itself. However, HubSpot’s overall pricing for higher tiers and advanced features is generally positioned at mid‑market to enterprise levels, which can be relatively expensive if HubSpot is adopted mainly to access AI features. Compared to a dedicated automation tool priced on usage, HubSpot AI may feel more costly for small teams starting from zero, but more economical for businesses that already rely on HubSpot as their central CRM and marketing/sales platform.

Make AI: 8

Make.com employs a usage‑based pricing model with tiers based on operations and features, and it offers a free tier with limited operations and slower trigger intervals. Public guides describe entry‑level plans around the low tens of dollars per month (e.g., a plan with 10,000 operations at a relatively low monthly price), making Make accessible to small teams while still scaling to enterprise tiers. AI automation features—including AI modules and AI agents—are available on paid plans, with AI usage contributing to overall operations but leveraging the same underlying pricing framework. This structure can be cost‑efficient when Make is used as a central automation layer across many tools, effectively replacing or reducing the need for multiple point solutions. However, organizations need to manage operation consumption carefully, as heavy use of AI‑driven workflows across many apps can increase monthly costs, especially for very high‑volume use cases.

HubSpot AI: 9

HubSpot is a globally recognized CRM and marketing platform with a very large installed base among SMBs and mid‑market companies, and HubSpot AI is positioned as a platform‑wide evolution rather than a niche add‑on. The unveiling of HubSpot AI and subsequent initiatives like Breeze have been highlighted at major events (e.g., INBOUND) and in company announcements, reflecting strategic importance and broad go‑to‑market efforts. AI features such as AI Assistants, AI Agents, and AI Insights are deeply integrated into core Hubs, ensuring that a large portion of HubSpot’s user base is exposed to and can adopt these capabilities. Given HubSpot’s brand recognition, market penetration, and marketing reach, HubSpot AI currently enjoys higher visibility and broader awareness among general business users than Make AI, particularly in marketing, sales, and customer service communities.

Make AI: 8

Make.com (formerly Integromat) is a widely adopted automation platform with a large user base among developers, operations teams, and tech‑savvy business users, recognized for its visual workflows and deep integrations. Its AI capabilities—especially the launch of Make AI Agents and the expansion to hundreds of AI integrations—have gained traction in the automation and no‑code communities, with growing coverage in guides, blogs, and tutorials. While Make is popular within the integration/automation niche, its brand awareness is still more specialized compared to large CRM and marketing platforms, and its AI branding (Make AI agents, AI automation) is relatively newer. This yields a high but not maximum popularity score: Make is well‑known among automation professionals and no‑code builders but less ubiquitous among general business users compared with HubSpot.