Bella

Sales outreach across LinkedIn and email

Bella is an AI sales agent for prospect outreach and follow-up conversations across LinkedIn and email. It combines research-driven message drafting with sequences, AI replies and a managed service offering. The product is intended for businesses and growth teams developing outbound sales conversations around a defined product or service.

Its documented starting point is a LinkedIn Sales Navigator lead list. Bella uses information about the business, the sender and prospective buyers to contextualize messages. A suitable use is reaching a specific business audience with an offer that can be explained and qualified through a conversation, rather than sending the same message to an undifferentiated contact list.

Research and multi-step sequences

Bella describes researching prospects through LinkedIn profiles, company pages, posts, roles and industry information. The homepage identifies OpenAI, Gemini and Anthropic models as part of its message-personalization approach. That is a description of the vendor's implementation, not a promise that every model or version is selectable on every plan.

Users can import a Sales Navigator list and configure timed steps for connection requests, messages, InMails and emails. An example message for each step guides how Bella adapts the outreach to individual prospects. This lets the team define the intended sequence while varying the content around relevant prospect information.

Reply handling and qualification

The LinkedIn chatbot is described as engaging with prospects who reply to a campaign. Custom prompts, example conversations, FAQs, URLs and instructions shape its responses. It can support discovery and qualification and share a next-step link, such as a calendar or registration page.

For a business selling logistics software, define the target buyer and import a relevant lead list. Supply the product's supported use cases, clear qualification questions and approved answers about pricing or implementation. Review the proposed sequence, then inspect conversations to see whether responses stay within those facts and hand suitable prospects to the sales team.

Operational limits and human oversight

The quality of the supplied business information and prospect list affects the usefulness of the conversation. Public profile details can be incomplete or outdated, and a model may misunderstand a reply. Establish who checks unusual questions, objections and commitments that require a person's judgment. A meeting link should be appropriate to the prospect's expressed interest.

LinkedIn and email are external account channels, so confirm the account permissions, pacing and supported workflow during setup. The vendor publishes meeting and reply-rate claims, but those figures should not be treated as promised outcomes for a new campaign. Evaluate qualified conversations and accurate replies rather than assume more automated messages produce better prospects.

Managed service pricing and prerequisites

The pricing page lists AI BDR at $899 monthly, with up to 1,500 prospects contacted per month and up to three LinkedIn/email accounts. It includes lead-list and ideal-customer-profile work, email infrastructure, copywriting, sequencing and a managed inbox. A Sales Navigator subscription is required separately. Scale uses custom pricing. Confirm the proposal's account, service and support scope; meeting targets are vendor offer language rather than a guarantee.