Gojiberry
Gojiberry is an AI sales agent that identifies high-intent B2B leads from buying and social signals, scores them against your ICP, enriches contact data, and then runs personalized outreach across email and social channels.
Updated: 2026-10-27
What is Gojiberry?
Gojiberry is an AI outbound agent for B2B sales teams; according to its website, it identifies warm leads from a variety of buying and social signals. The system filters and scores leads based on the ideal customer profile, then automatically generates emails and social messages, helping teams focus their efforts on accounts more likely to close. Compared with tools that only provide contact databases, it places more emphasis on signals, filtering, and outreach execution. The website connects signal monitoring, ICP scoring, contact enrichment, and outreach execution into a single sales workflow.
Who is it for?
- Early-stage sales teams that need a steady stream of B2B meetings.
- Founders without a large SDR team who want to automate outreach execution.
- Growth teams that want to leverage buying signals rather than relying only on list-based mass emailing.
- Sales consultants and agencies managing outreach campaigns for clients.
- B2B sales teams looking to use buying signals to improve outreach relevance.
Key features
6Buying Signal Monitoring
Tracks signals such as competitor engagement, following behavior, and industry events, identifies potential customers who are paying attention to relevant issues, and prioritizes outreach accordingly.
ICP Scoring
Filters and ranks leads by ideal customer profile, industry, and company size, reducing messages sent to mismatched accounts.
Contact Enrichment
Adds job title, company, email, and social profiles to provide context for subsequent personalized outreach.
Multi-channel Outreach
According to the website, it can send personalized messages via email and social channels and automatically coordinate outreach cadence.
Replies and Meetings
The system can identify interested replies, generate follow-up drafts, and push qualified meetings to the sales calendar, reducing time spent manually organizing inboxes and repeated follow-ups.
Continuous Learning
Adjusts strategy based on which messages, accounts, and outreach timing generate replies, and references high-performing campaigns in the same industry.
How to use Gojiberry
- Define the ICP and exclusion criteria first, then let the agent find leads, avoiding spending budget on mismatched accounts.
- Keep manual review for the first few outreach rounds.
- expand automation only after confirming tone, value proposition, and compliance requirements.
- Email and social platforms have their own rules for automation.
- sending frequency and opt-out mechanisms must meet requirements.
- Reply rate is not the only metric.
- also track qualified meetings, opportunities, and deal quality.
- First clearly define the ICP, exclusion criteria, value proposition, and opt-out rules, then let the agent find leads.
- review emails and social messages one by one in the first few rounds to confirm there is no misuse of customer information or unsuitable automation channels.
- Every week, review reply quality, qualified meetings, and opportunity progress, and use these results to adjust scoring and outreach cadence rather than only pursuing send volume.
Traffic & popularity
Data month Sep 2026
Gojiberry receives about 725.2K visits per month and ranks #54,171 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct52.3%
- Search23.1%
- Social11.2%
- Referrals8.2%
- Display ads4.1%
- Other1.2%
Top countries
- United States35.0%
- India17.2%
- United Kingdom11.3%
- Switzerland3.6%
- United Arab Emirates3.1%
Estimated from third-party traffic data.
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