Let me describe a workflow that will sound painfully familiar. You need 50 new leads for your pipeline. You open LinkedIn Sales Navigator in one tab. You search, scroll, copy names. You open Apollo or ZoomInfo in another tab to find email addresses. You export a CSV. You clean the CSV because half the fields are wrong. You import the CSV into your CRM. You deduplicate because 12 of those contacts already exist. Two hours later, you have 50 leads. Maybe 35 of them have valid email addresses.
This is the state of B2B prospecting in 2026. Four tools, three browser tabs, two exports, and one frustrated sales rep. We built AI Prospecting V2 to kill this workflow entirely.
Prospecting should not be a research project. It should be a button you press when your pipeline needs more leads.
AI Prospecting V2 puts a database of over 200 million verified business contacts inside SalesSheet. No external tools. No browser extensions. No CSV exports. You describe who you want to sell to, and the system finds them, enriches them, and adds them to your pipeline -- all without leaving the CRM.
Here is how the guided flow works, step by step.
The flow starts with a simple question: "Who are you looking for?" You can answer in natural language ("VP of Marketing at SaaS companies with 50-200 employees in the US") or use structured filters. The AI parses your description and maps it to searchable criteria: job title, industry, company size, location, and more.
If you have existing customers in SalesSheet, the system can analyze your best deals and suggest an ICP automatically. It looks at the job titles, industries, and company sizes of your closed-won deals and identifies patterns. One user told us the AI-suggested ICP surfaced a customer segment they had never explicitly targeted but that had a 3x higher close rate than their assumed ICP.
Once the AI generates initial criteria, you see a filter panel with toggleable options:
Every filter updates the result count in real time. You always know exactly how many contacts match your criteria before committing.
The results appear in a scrollable list showing name, title, company, location, and a data quality indicator. You can select all, select individually, or use the AI to rank results by relevance to your ICP. The ranking considers factors beyond simple filter matching -- it looks at career trajectory, company growth signals, and even recent job changes that might indicate buying intent.
When you click "Add to Pipeline," the selected contacts are instantly enriched with every available data point: verified email address, direct phone number, LinkedIn URL, company website, company description, estimated revenue, employee count, and technology stack. The enriched contacts land directly in your chosen pipeline with all fields pre-populated. No CSV. No mapping. No deduplication headaches -- the system checks for existing contacts automatically and flags duplicates before import.
The entire flow -- from "I need leads" to "leads in my pipeline with full contact details" -- takes under three minutes. The old way took two hours.
One of the biggest concerns users had about V1 was credit management. "What if I accidentally burn through my monthly quota in one search?" Smart caps solve this completely.
Smart caps work on three levels:
Team admins can set caps at the organization level, and individual reps can set their own stricter limits. The system shows a real-time credit meter during every search, and warns you when you are approaching your daily limit. No surprises. No awkward conversations with your manager about why the team's prospecting credits are gone on March 3rd.
Let me be direct about how AI Prospecting V2 stacks up against the dedicated prospecting tools.
LinkedIn Sales Navigator is excellent for research but terrible for workflow. You cannot bulk export. You cannot enrich contacts with email and phone. You cannot add them to your CRM without a third-party connector. Sales Navigator costs $99/month and still requires Apollo or ZoomInfo to get usable contact data.
Apollo has a strong database and good search. But Apollo is a standalone tool. Every contact you find in Apollo needs to be exported and imported into your CRM. The integration exists but it is fragile -- field mapping breaks, duplicates appear, and sync delays mean your data is always slightly out of date. Apollo's credits also get expensive fast once you outgrow the free tier.
ZoomInfo has the largest database but the pricing is enterprise-level. We are talking $15,000+ per year for a small team. The data quality is excellent, but the ROI math does not work for teams under 20 reps. And like Apollo, it is a standalone tool that requires integration plumbing.
AI Prospecting V2 is not trying to replace these tools for large enterprise sales orgs with dedicated SDR teams and six-figure tool budgets. It is built for the teams that cannot justify three separate subscriptions for prospecting alone. If you are a team of 1 to 20 reps, you get a 200M+ contact database, enrichment, and CRM integration in one place for a fraction of the cost.
The first question every sales rep asks about a contact database: "How good is the data?" Fair question. Here is the honest answer.
Our database aggregates from multiple data providers. We do not scrape LinkedIn or harvest emails from the web. Every contact goes through a multi-step verification pipeline:
The result: our verified email accuracy rate is 94.7% based on bounce data from the last 90 days. That means fewer than 6 out of every 100 emails will bounce. For context, industry benchmarks for prospecting databases hover around 85-90% accuracy. We are not claiming perfection, but we are above the industry average and improving every month as the feedback loop generates more signal.
AI Prospecting V2 has been in beta for three weeks. Here is what the early data shows:
The most surprising data point: users who previously did not prospect at all (they relied entirely on inbound leads) started prospecting after V2 launched. The friction was so high with external tools that they simply did not do it. When prospecting became a 3-minute task inside the CRM they already had open, the behavior changed overnight.
The best prospecting tool is the one your reps will actually use. If it requires opening another app, logging into another service, and exporting a CSV, they will not use it consistently.
AI Prospecting V2 is available now on all paid SalesSheet plans. Every plan includes a monthly prospecting credit allocation, and you can purchase additional credits if you need them. There is no separate subscription, no add-on fee, and no minimum commitment. It is just another feature inside the CRM you are already using.
If you have been juggling LinkedIn, Apollo, and your CRM in separate tabs, give V2 fifteen minutes. Search for your ICP, import 20 contacts, and see how it feels to prospect without context-switching. I think you will find it hard to go back.