Relevance AI Review
AI AgentsBuild AI agents for sales and marketing with low-code. Offers 9,000+ tool integrations and a multi-agent system.
Editor's Verdict
Relevance AI earns a 4/5 rating as one of the more capable options in the ai agents space. Its standout strength — supports 9,000+ tool and api integrations — makes it particularly valuable when that capability matters most to your workflow. The main trade-off is credit consumption can be difficult to predict, which is worth weighing against the alternatives before committing. Because the free plan lets you validate fit without risk, there is very little downside to testing it first.
Table of Contents
What is Relevance AI?
Relevance AI is a low-code platform for building AI agents tailored to sales, marketing, and customer support. It supports integrations with over 9,000 tools and APIs, and provides prebuilt templates for BDR (business development representative) agents, account research agents, SEO agents, customer support agents, and more. Its multi-agent system allows multiple agents to collaborate and autonomously execute complex workflows. The platform raised $24M in a Series B round in May 2025 and is growing rapidly. It uses a credit-based pay-as-you-go pricing model, and you can get started with a free plan.
Who is Relevance AI for?
Relevance AI is best suited for power users and technical teams who want autonomous AI workflows handling multi-step tasks. Its free plan lowers the barrier to entry, making it easy to evaluate before committing. The breadth of features (6+) — including Low-code AI agent builder and Multi-agent system — means you rarely need to switch to another tool for related tasks. Users frequently highlight one specific strength: supports 9,000+ tool and api integrations.
Pricing plans & value for money
Relevance AI offers the following plans. Prices reflect the latest available information at the time of review and may change; always confirm on the official site before purchasing.
Key features & capabilities
Here is what Relevance AI brings to the table, ranked roughly by how central each capability is to the product experience.
Pros and cons
After evaluating Relevance AI against the rest of the ai agents field, these are the trade-offs that stood out in day-to-day use.
What we liked
- ●Supports 9,000+ tool and API integrations
- ●Prebuilt sales and marketing agent templates
- ●Multi-agent system handles complex workflows
- ●Low-code approach lowers the technical barrier
- ●No markup on AI model costs (passed through at cost)
What could be better
- ●Credit consumption can be difficult to predict
- ●No Japanese UI support
- ●Advanced customization requires API knowledge
How to get started with Relevance AI
A practical, five-step path we recommend for anyone evaluating Relevance AI for the first time — designed to minimise wasted time and help you decide fast.
1Sign up for Relevance AI
Head to the official Relevance AI website and create an account. You can start with the free plan without entering payment details, which is ideal for testing how it fits your workflow.
2Set up your workspace
Install the app on web if a native client is available, or simply open it in your browser. Configure basic preferences such as language, notifications, and default output style so that subsequent runs feel consistent.
3Run your first task with Low-code AI agent builder
Start with a small, low-stakes task to understand how Relevance AI responds. Write a clear prompt or input, review the output, and iterate. This low-risk exploration is the fastest way to build intuition for what the tool excels at.
4Integrate into your daily workflow
Once you know its strengths, introduce Relevance AI into one concrete workflow — not ten. Replace one existing step with it and measure the time saved or quality gained over a week before expanding usage further.
5Upgrade based on real usage
Rather than upgrading upfront, monitor which limits you actually hit (message count, output length, export features). Upgrade only when a specific limit blocks your productivity, not because the higher plan looks more attractive on paper.
Best Relevance AI alternatives
Not sure Relevance AI is the right fit? These comparable tools in the ai agents space are worth considering depending on your priorities.
AutoGPT
A pioneering open-source autonomous AI agent project. Set a goal and the AI autonomously breaks down and executes tasks to automate complex workflows.
Offers a comparable editorial rating at a higher price point. Best if you want pioneering ai agent that autonomously breaks down and executes tasks.
Microsoft Copilot Studio
Microsoft's no-code agent building platform. Create enterprise-grade AI agents.
Offers a comparable editorial rating at a higher price point. Best if you want full microsoft 365 integration.
Flowise
An open-source visual builder for creating AI agents and LLM flows with no code. Build intuitively with drag-and-drop.
Offers a comparable editorial rating at a higher price point. Best if you want no-code visual ui for building ai agents.
Frequently asked questions
Can I use Relevance AI for free?+
Yes, the Free plan allows up to 100 credits per day. If you need scheduled execution or more credits, upgrade to the Pro plan ($19/mo) or higher.
What kinds of AI agents can I build?+
You can build agents for sales (BDR, lead research), marketing (SEO, content), customer support, and other go-to-market (GTM) use cases. Numerous prebuilt templates are also available.
How does Relevance AI differ from Dify?+
Relevance AI specializes in GTM (sales and marketing) use cases, with prebuilt sales agents and extensive tool integrations as its strengths. Dify is a general-purpose AI app development platform that covers a broader range of use cases.
Ready to try Relevance AI?
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Reviewed by: AIpedia Editorial Team · Last updated: April 28, 2026 · Methodology: How we test & rate
This review reflects our editorial opinion based on hands-on testing, pricing verification, and cross-referencing with official documentation. We do not accept payment in exchange for favourable reviews. Read our full editorial policy.