AI app for sales · no coding needed
B2B outreach lead sourcing and follow-up portal
Run lead discovery, enrichment, outreach and follow-up in one owned portal.
Made for: B2B sales teams and founders running outbound prospecting
What it does for you
The problem
Lead sourcing, enrichment, outreach, follow-up and call notes live in separate rented tools, so data and workflow stay fragmented.
What it gives you
Reviewed pipeline of qualified leads with approved outreach and follow-up
What you give it
Target criteriapermitted contact sourcesbrand voicecampaign rules
Build your own version of AI Agents by B2B Rocket, Oskar by Skarbe and more
One app with what these 10 AI tools do, yours to keep and change: AI Agents by B2B Rocket, Oskar by Skarbe, Jeeva 2.0, Vidyard Prospector, Reavion, Muraena, Touch AI, Persana AI Sales and Voice Agents, Pebbles Ai, folk Assistants.
Everything these tools do, in one app
- Lead discovery and sourcing Automatically finds potential customers matching target criteria.Found in AI Agents by B2B Rocket, Jeeva 2.0, Vidyard Prospector and 4 more
- Contact data enrichment Fills in missing contact and company details from external sources.Found in Oskar by Skarbe, Jeeva 2.0, Vidyard Prospector and 3 more
- AI-personalized email outreach Generates and sends customized email messages to prospects.Found in AI Agents by B2B Rocket, Jeeva 2.0, Vidyard Prospector and 3 more
- Automated follow-up sequences Sends scheduled follow-up messages to maintain engagement.Found in Oskar by Skarbe, Jeeva 2.0, Vidyard Prospector and 1 more
- Lead qualification and intent detection Scores and prioritizes leads based on likelihood to convert or buying signals.Found in AI Agents by B2B Rocket, Oskar by Skarbe, Touch AI and 1 more
- CRM integration Connects with CRM platforms to sync data and streamline workflows.Found in AI Agents by B2B Rocket, folk Assistants
- Campaign analytics dashboard Tracks outreach performance and provides insights for optimization.Found in AI Agents by B2B Rocket, Vidyard Prospector
- Multi-channel engagement Supports outreach via multiple channels like email and LinkedIn.Found in AI Agents by B2B Rocket, Jeeva 2.0
- Inbox management and prioritization Organizes and prioritizes emails to focus on important communications.Found in Oskar by Skarbe, Jeeva 2.0
- Meeting preparation briefs Provides research summaries to prepare for sales calls.Found in Jeeva 2.0
- AI notetaker and call recording Takes notes during calls and records conversations for reference.Found in Oskar by Skarbe, Jeeva 2.0
- Browser-based automation Uses autonomous agents to interact with web pages for prospecting tasks.Found in Reavion
- Scheduled prospecting Runs lead generation on a regular cadence across web platforms.Found in Reavion
- AI voice agents for cold calling Automates cold calls, qualifies prospects, and books meetings.Found in Persana AI Sales and Voice Agents
- Chrome extension for lead generation Enables instant lead capture and enrichment from any website.Found in Persana AI Sales and Voice Agents
- Customizable workflows and templates Allows tailoring of automation sequences to specific sales processes.Found in Persana AI Sales and Voice Agents
- Brand voice creation Captures a company's tone and style for consistent messaging.Found in Pebbles Ai
- Strategy assistant Analyzes underperforming campaigns to identify and fix issues.Found in Pebbles Ai
How it works, step by step
- Discover leads matching target criteria
- Enrich missing contact and company details
- Score leads and detect buying intent
- Generate personalized email drafts in brand voice
- Send approved outreach and schedule follow-up sequences
- Support multi-channel outreach across email and LinkedIn
- Prioritize and organize replies in a shared inbox
- Capture call notes and record conversations
- Prepare meeting briefs from lead research
- Run scheduled prospecting on a regular cadence
- Capture and enrich leads from any web page via browser extension
- Automate browser-based prospecting tasks
- Place AI-assisted cold calls that qualify and book meetings
- Sync leads and activity to CRM
- Tailor workflows and templates to the sales process
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed pipeline of qualified leads with approved outreach and follow-up with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for B2B outreach lead sourcing and follow-up portal with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds B2B outreach lead sourcing and follow-up portal with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Run lead discovery, enrichment, outreach and follow-up in one owned portal. For B2B sales teams and founders running outbound prospecting, convert target criteria, permitted contact sources, brand voice and campaign rules into a reviewed pipeline of qualified leads with approved outreach and follow-up. The benefit is a testable hypothesis, measured through qualified leads per sourcing hour and reply-to-meeting rate; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect target criteria, permitted contact sources, brand voice and campaign rules, then follow this sequence: 1. Discover leads matching target criteria. 2. Enrich missing contact and company details. 3. Score leads and detect buying intent. 4. Generate personalized email drafts in brand voice. Resolve uncertain cases with qualified reviewers, approve a reviewed pipeline of qualified leads with approved outreach and follow-up, and measure qualified leads per sourcing hour and reply-to-meeting rate against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed outreach channel set and approved brand voice; final send and qualification decisions remain with the sales owner. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve contact consent, source attribution, message accuracy and usage permissions. Sales owners approve substantive messages and outreach scope. One fixed outreach channel set and approved brand voice; final send and qualification decisions remain with the sales owner. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed outreach channel set and approved brand voice; final send and qualification decisions remain with the sales owner. Implement one approved input format, a bounded representative case set and the first two task modules: discover leads matching target criteria; enrich missing contact and company details. Support the third module with operator review: score leads and detect buying intent. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Buyer-owned CRM, email and calendar accounts and permitted contact sources. Cloud data storage, CRM import/export and outreach destinations. Start with file exchange and validate destination specifications before promising direct sending. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Target criteria and sources, Lead review and enrichment, Outreach and follow-up queue, Call notes and meeting briefs, Campaign analytics. Use a table for leads with filters and status, a detail panel for contact data and intent signals, and a queue for messages awaiting approval. Show draft, approved and sent states. Provide a client preview link with comments anchored to the relevant lead or message. Make the task-specific outcome a reviewed pipeline of qualified leads with approved outreach and follow-up visible beside its evidence, review state and value baseline.
