AI Prospecting in 2026: How to Build B2B Lists with Claude & ChatGPT
AI assistants used to be useless for prospecting — they hallucinated contacts and had no access to real data. MCP connectors fixed that. Connected to a live B2B database, Claude or ChatGPT can now build verified prospect lists, filter by buying signals, and brief you on accounts — all in one conversation.
What changed: your AI assistant can now query B2B databases directly
Until recently, using AI for prospecting meant pasting lists into ChatGPT and hoping. The Model Context Protocol (MCP) — an open standard adopted by Claude, ChatGPT, and most major AI assistants — changes that: an MCP connector gives the assistant live, structured access to an external data source. Connected to a B2B database, the assistant can search real contacts, check real firmographics, and return verified results instead of hallucinated ones.
The workflow in practice
With a database connector installed, prospecting becomes conversational. A realistic session:
- “Find VPs of Sales at US SaaS companies, 50–200 employees, that use Salesforce” — the assistant translates this into database filters and returns matching contacts
- “Which of these companies showed hiring signals in the last 30 days?” — signal data narrows the list to in-market accounts
- “Verify the emails and give me a CSV” — validation runs before anything reaches your sequencer
- “Brief me on the top 5 accounts” — AI summaries of each company, ready for personalization
The entire loop — list building, signal filtering, verification, research — happens in one conversation instead of five tools.
Setting it up with Claude
In Claude's settings, add the connector from the integrations directory or paste the MCP server URL. Once connected, Claude gains tools for contact search, company lookup, and enrichment — and will cite which queries it ran. Sendburg ships a native MCP connector: setup guide here.
Setting it up with ChatGPT
ChatGPT supports MCP connectors through its connector settings on paid plans. The same database connector pattern applies — authorize once, then query your contact database in plain English inside any chat.
What AI prospecting is genuinely good at
- Translating ICP descriptions into filters — one sentence replaces ten dropdowns
- Iterating fast — “now exclude agencies, add Germany” takes two seconds
- Account research at scale — briefings that would take an SDR 20 minutes per account
- Cross-referencing signals — combining hiring, funding, and tech stack criteria in one query
What to watch out for
- Data still determines everything — an AI querying a stale database returns polished garbage; verify emails before sending
- Assistants without connectors hallucinate contacts — never ask a bare LLM for someone's email address
- Rate limits — bulk operations belong in the platform UI or API, not chat
- Compliance — the same GDPR rules apply regardless of which interface pulled the contact
Try it
The free plan includes Burg AI queries and MCP connector access — enough to run the workflow above on your own ICP. See how Burg AI works or start free and connect Claude in about two minutes.