Website-based onboarding
Analyzes your website to understand what you sell, who you target, and how to position outreach without manual setup.
Gojiberry AI finds warm leads from buying and social signals, matches them to your ICP, and sends personalized multichannel outreach for qualified demos.
Gojiberry AI is an AI sales and outbound platform that finds warm leads, filters them to match an ideal customer profile, and sends personalized outreach to help teams book qualified demos. The site positions it as an AI agent that learns a business from its website and then runs multichannel prospecting automatically.
Across the homepage and supporting pages, the product is described as handling lead research, intent-based prospecting, outreach, and reply drafting in one workflow. The captured pricing page also indicates a free trial and a fast setup flow, while the Claude/LinkedIn page shows that users can interact with the system through Claude for lead finding, messaging, research, and reporting.
Analyzes your website to understand what you sell, who you target, and how to position outreach without manual setup.
Detects buying and social signals, scores prospects against your ideal customer profile, and prioritizes higher-intent leads first.
Builds lookalike audiences from your best customers and filters out prospects that do not match your ICP.
Sends personalized outreach across email and social channels, with messages tailored to prospect context, company activity, and timing.
Supports autonomous sending or human approval before messages go out, so teams can choose their preferred control level.
Learns from what converts and adjusts over time, with weekly improvement and benchmarking mentioned in the site copy.
A founder or sales team enters the company website, lets the system infer the offer and target audience, and launches prospecting without manually building a list from scratch.
A team looking for warmer prospects uses buying and social signals to surface people already showing intent, rather than sending broad outbound to generic lists.
A rep asks Claude for leads, messaging, prospect research, or campaign insights, using the LinkedIn/MCP workflow to manage outreach from a conversational interface.
A team wants to keep control over outbound quality, so it reviews suggested messages before sending while still using the system to handle research and drafting.
A customer-facing team uses the case-study-style workflow to track replies, booked meetings, and campaign performance while the agent keeps prospecting in the background.
Gojiberry AI reads a company’s website, infers what it sells and who it targets, then finds and contacts prospects that match the business and its ideal customer profile.
The site says setup takes about 3 minutes, and the LinkedIn/Claude workflow page describes a 2-minute setup with no code required for that use case.
It can run fully autonomously or let users review messages before they are sent, depending on how the team wants to work.
The site says it can reach prospects through email and social channels, with personalized messages coordinated automatically.
The pricing page shows a free trial and says it is live in 5 minutes with cancel anytime, but it does not show detailed pricing in the captured text.