Relevance AI review

What Relevance AI is

Relevance AI is a platform for building an AI workforce: AI agents, and teams of agents, that you delegate real work to. It’s aimed squarely at go-to-market (GTM) operators and engineers—think agents that research accounts, enrich leads, personalize outreach, qualify inbound demand and keep the CRM tidy.

You build agents with a no-code builder, give them tools and triggers (including premium app triggers such as WhatsApp, LinkedIn and Telegram), choose any LLM or bring your own keys, and organize them into workforces that hand work to each other.

Key features

Agent builder

Create unlimited agents and tools without code.

Workforces

Combine agents into multi-agent systems with unlimited workforces on all plans.

Models and BYOK

Use any LLM with credits or bring your own LLM and API keys.

Triggers and integrations

Premium app triggers on Pro; enterprise triggers like Salesforce, Snowflake and Zendesk on Enterprise.

Calling and meeting agents

Voice and meeting agents on Team and above.

Testing and governance

A/B testing on Team; agent evaluations and work-hour controls on Enterprise.

Pricing breakdown

From Relevance AI’s pricing docs, checked October 16, 2026.

Plan	Annual	Monthly	Actions	Vendor Credits	Users
Pro	$19/mo	$29/mo	2,500/mo (30K/yr)	$20/mo ($240/yr)	2 build users, 1 project
Team	$234/mo	$349/mo	7,000/mo (84K/yr)	$70/mo ($840/yr), rollover	5 build + 45 end users, 5 projects
Enterprise	Custom	Custom	Custom	Custom	Unlimited

Annual billing saves 33% over monthly. The Free plan has been retired.

Best use cases

• SDR teams: research prospects and draft personalized emails.
• RevOps: enrich and route inbound leads.
• Customer success: follow up after meetings automatically.
• Ops: process documents and update systems.

How to get started

1. Sign up at relevanceai.com and choose Pro.
2. Start from a template agent (e.g., lead research).
3. Connect tools and set triggers.
4. Test on a small batch and check Action usage.
5. Combine agents into a workforce as you scale.

Tips and tricks

• Give agents narrow jobs and clear success criteria.
• Use BYOK to control model costs.
• Add human approval before outbound messages.
• Track Actions per run to forecast spend.

Example agent brief:

For each new inbound lead, research the company website and LinkedIn, score fit against our ICP (B2B SaaS, 50–500 employees), and draft a two-sentence personalized email for SDR review.

Pros and cons

👍 Pros

• Build agents without code
• Unlimited agents and tools
• Bring your own keys or any LLM
• Low entry price on annual Pro
• Calling and meeting agents on Team

👎 Cons

• No free plan anymore
• Actions and credits are complex to forecast
• Big jump from Pro to Team
• Best suited to GTM use cases

Who should (and shouldn't) use Relevance AI

✅ A good fit if you…

• Automate prospect research and outreach
• Build multi-agent workflows for RevOps
• Want BYOK flexibility

⛔ Look elsewhere if you…

• Need simple app-to-app automations (consider Zapier)
• Want self-hosting (consider n8n)
• Want a personal assistant agent (consider Lindy)

Relevance AI alternatives

• Lindy — AI teammate that plugs into your tools, learns how you work and handles real tasks across inbox, sales, marketing and ops. (from $49.99/mo for 5,000 credits (Team))
• n8n — Fair-code workflow automation with AI agents—self-host it or use n8n Cloud. (from €20/mo billed annually (Starter, 2.5K executions))
• Make — Build automated workflows and AI agents visually across 3,500+ apps. (from $9/mo billed annually for 10,000 credits (Core))
• Zapier — No-code automation across 9,000+ apps, with AI agents, Copilot, MCP, Tables and Forms. (from $19.99/mo billed annually (Professional))
• Clay — Go-to-market data platform that combines many data providers, AI research agents and workflows to build and enrich lead lists. (from $167/mo (Launch, billed annually))

FAQ

Is Relevance AI free?

No. Relevance AI retired its Free plan for new signups and existing accounts. Organizations on Free need to upgrade to Pro or Team.

How much does Relevance AI cost?

Pro is $19 per month billed annually or $29 monthly. Team is $234 per month annually or $349 monthly. Enterprise is custom. Annual billing saves 33%.

What are Actions?

Actions are Relevance AI's usage unit for agent work. Pro includes 30,000 Actions per year (2,500 per month) and Team 84,000 per year (7,000 per month).

What are Vendor Credits?

Vendor Credits pay for third-party model and tool usage. Pro includes $240 per year ($20 per month) and Team $840 per year ($70 per month), with rollover on Team. You can also bring your own API keys.

Can I use any LLM?

Yes. All plans let you use any LLM with credits or bring your own LLM and API keys.

What does Team add over Pro?

More Actions and credits, unused-credit rollover, 5 build users and 45 end users, 5 shared projects, calling and meeting agents and A/B testing.

Sources

This is an editorial review based on research of official Relevance AI pages and documentation, not hands-on benchmark testing. Prices are in USD and were checked on October 16, 2026; vendors change plans often, so confirm on the official pricing page before buying.

1. Relevance AI pricing (docs)
2. Relevance AI homepage