Revnureview, pricing and verdict

Last updated: 2026-07-01

Revnu is an autonomous AI growth platform for software startups that runs SEO, paid ads across four channels, outbound outreach, and A/B testing from one shared intelligence layer. It exposes an MCP server with 47 tools so any MCP-compatible AI assistant can run growth operations programmatically.

About Revnu

Revnu is an AI-powered growth platform for software startups, built by Art Freebrey and George Jefferson and backed by Y Combinator's P26 batch. It replaces the need for a dedicated growth team by running SEO content creation, paid advertising, outbound outreach, A/B testing, and competitor monitoring autonomously. Within 48 hours of connecting a website, Revnu delivers a full site audit, publishes the first SEO articles, and drafts the first ads. At its core, Revnu operates through a shared intelligence layer where every autonomous agent draws from and contributes to the same data pool. A topic that gains traction in search feeds directly into ad copy variations; a cold email angle that generates replies becomes next week's blog post. Founders connect their site and optionally merge a single GitHub pull request to enable A/B testing, after which the platform operates overnight and delivers a morning report. Revnu is built for software startup founders who need growth results but lack the bandwidth or budget to hire a growth team. It runs ads across Meta, LinkedIn, Reddit, and TikTok simultaneously, testing thousands of creative variants and cutting underperformers before they drain the budget. The outbound engine books calls from buying signals such as new funding rounds and hiring surges, working from the same shared data pool as the SEO and ad agents rather than as a separate tool. The platform operates as a web app with no publicly listed pricing. All plans require a demo request. It integrates with GitHub for A/B testing, connects to ad platforms across Meta, LinkedIn, Reddit, and TikTok, and exposes an MCP server at revnu.app/api/mcp, making it accessible from any MCP-compatible AI assistant. Art Freebrey won the xAI London Hackathon and bootstrapped three software businesses past six figures at university; George Jefferson won the Mistral worldwide hackathon and similarly bootstrapped multiple businesses past $100K. The 2-person San Francisco team launched in YC's P26 batch in 2026, shipping new agent capabilities every week.

Pricing

No public pricing. Custom pricing via demo request only. No free tier confirmed. Ad spend billed separately through native ad platform accounts.

Key Features

• Autonomous SEO Agent: Generates and publishes long-form articles and programmatic pages weekly, targeting queries surfaced across Google, ChatGPT, Claude, Perplexity, and Gemini simultaneously.
• Multi-Channel Ad Management: Runs thousands of creative variants in parallel across Meta, LinkedIn, Reddit, and TikTok, automatically scaling winners and cutting losers before they exceed budget.
• Outbound Outreach Engine: Enriches contact data from real-time signals like hiring activity and funding rounds, drafts personalized notes in the company's voice, threads replies, and books calls automatically.
• A/B Testing via Single GitHub PR: Enables full conversion experimentation across pricing, headlines, CTAs, and layouts with one PR merge, running multi-variant tests around the clock without developer involvement after setup.
• Shared Intelligence Layer: All growth agents share one data layer so SEO findings improve ad copy, cold email angles flow into blog topics, and every channel makes the others measurably smarter over time.
• MCP Server with 47 Tools: Exposes 47 tools across 12 modules at revnu.app/api/mcp, allowing any MCP-compatible AI assistant to manage growth operations programmatically without custom API integration.

Pros

• Deploys in under 48 hours with a full site audit, published SEO articles, and drafted ads, requiring zero code changes for most features.
• Covers 4 paid ad channels (Meta, LinkedIn, Reddit, TikTok) from a single dashboard, eliminating the need for separate agency contracts or ad managers.
• Shared intelligence layer creates compounding improvements across channels: SEO data from week 1 improves ad copy by week 4 without manual work.

Cons

• No public pricing requires a demo call before budgeting, creating friction for early-stage founders who need cost clarity upfront.
• 2-person team as of 2026 means support response times and onboarding capacity are limited compared to established platforms like HubSpot or Jasper.
• A/B testing requires merging a GitHub PR, which blocks non-technical founders or teams without active engineering support from accessing the experimentation features.

Visit Revnu Official Website