I Buy B2B Software for a Living. Here's How to Actually Evaluate AI Sales Prospecting Tools

I'm the office administrator for a 45-person B2B software company. I manage roughly $300,000 in annual software and services spend across about 20 vendors. I report to operations and finance, which means I get pulled into buying decisions even though I'm not the one clicking send on the outreach.

When our sales team asked me to research AI sales prospecting tools, I treated it like any other purchase. Compare prices. Compare features. Pick the best value. That approach nearly cost us a lot more than the monthly subscription.

Everyone starts with a feature list

Our SDRs sent me links to HeyReach, Expandi, and a few other platforms. They wanted LinkedIn automation, email verification, intent data. They wanted an AI sales agent that could do the heavy lifting while they focused on the accounts that actually reply.

Sound familiar? I've built enough feature checklists in my years sourcing software to know that the real differences rarely show up in the marketing comparison table.

The surface problem was: which tool has the most features for the price? But that's the wrong question. It's the question you ask when you're buying a one-time product, not a system that touches your domain reputation, your data quality, and your team's daily workflow.

The problem underneath the feature list

The deeper problem is that most AI sales prospecting tools aren't really comparable on feature lists alone. They generate revenue only if they can get your emails delivered, your messages seen, and your domain out of trouble. That's where email verification, DMARC, and compliance controls come in. They're not back-office details. They're the foundation of the entire investment.

AI sales agents don't replace delivery infrastructure

AI sales agent is a great buzzword. And sure, the platforms now draft messages, personalize at scale, and automate follow-ups. But an AI agent still sends through the same channels as a human. It still needs a clean list. It still needs a domain with a healthy reputation. It still needs guardrails to avoid acting in ways that get accounts flagged. If that infrastructure is weak, the AI is just helping you fail faster.

Deliverability is the product

Anyone can send emails. The question is whether those emails land in the primary inbox. I'm not an email engineer, but I know this from our own experience: when a sender's reputation gets damaged, everything else about the tool stops mattering.

This is why email verification features matter more than they sound. If a tool verifies addresses only once at import, you're still sending to a list that decays over time. If it doesn't identify role-based accounts or spam traps, you're gambling with your domain reputation. The difference between a $50/month tool and a $150/month tool becomes trivial when one of them accidentally gets your domain blacklisted.

Honestly, I'm not sure why so many evaluation guides treat email verification as an add-on instead of a core requirement. My best guess is that feature comparisons are easier to write than deliverability infrastructure.

DMARC isn't an IT checkbox

DMARC was the last thing on our sales team's radar when we started this process. But after several conversations with vendors, I realized it should have been the first.

Here's a quick explanation. According to RFC 7489, DMARC is a mechanism that lets domain owners tell receiving email servers what to do with messages that fail authentication checks. It's built on top of SPF and DKIM, and it's one of the big signals that determines whether your domain looks trustworthy to inbox providers.

So what should revenue operations teams evaluate in DMARC? Not just whether a DMARC record exists. That's the minimum. The real questions are:

• Do your SPF and DKIM align with the domain in your From address?
• Is your DMARC policy in monitoring mode (p=none) or enforcement mode (p=quarantine or p=reject)?
• Does your sales tool monitor delivery failures, bounce rates, and sender reputation before they become a problem?
• Does the tool automatically slow down or stop campaigns when a domain starts showing red flags?

If a vendor can't answer those questions clearly, that's a red flag. Not necessarily because they're bad people. More likely because they've been focused on cool features instead of the boring infrastructure that keeps your sales emails out of spam.

What it costs to get this wrong

Let me give you a concrete example from our own evaluation process. We looked at Expandi vs HeyReach because that's the comparison our SDRs kept searching for. There's no shortage of blog posts breaking down pricing and UI. From a buyer's seat, the more important difference is in how each tool handles domain settings, data quality, and guardrails.

I'm not going to tell you one is bad and the other is good. That oversimplification doesn't help anyone. Expandi has a solid reputation, and HeyReach has strengths that worked for our team. But the warning is this: if you pick based on price alone, you're ignoring the most expensive possible outcome—damaging the domain that your reps are trying to grow.

In our 2024 vendor consolidation project, I watched us switch to a lower-priced tool and then lose the ability to export historical data cleanly. We paid for that in rebuilt workflows and manual re-entry. The same logic applies to sales prospecting tools, only the stakes are higher.

The cost of a bad choice isn't just subscription fees. It's the time your SDRs spend on bad leads. It's the cost of fixing a domain reputation issue. It's the cost of responding to platform compliance warnings. It's the cost of re-doing campaigns that died in the spam folder.

A better way to compare AI sales prospecting tools

I still compare prices. I'm not going to pretend you should ignore budget. But I calculate total cost of ownership first. Here's the framework I use when evaluating any tool, including AI sales agents:

• Base subscription price, per user or per agent
• Setup time and onboarding effort, measured in what our team actually costs per hour
• Email verification quirks and quotas, not just whether verification is included
• Domain warm-up and sending limits, not just unlimited sending
• Compliance controls: human review steps, approval workflows, and adjustable automation levels
• Migration and export options, so we're not locked in
• Support quality, especially during the first two weeks

When I looked at HeyReach's LinkedIn tool features, I didn't get excited about the automation count. I got more interested in the controls around it. If a feature list is what matters to you, you can find almost any tool that checks the boxes. What's harder to find is a tool that lets your team move fast without burning your sending infrastructure.

Questions we actually asked vendors

Instead of asking whether a tool can send automated LinkedIn connection requests, we asked:

• What happens when a sending domain gets a spike in complaints?
• How do you handle DMARC reports, and who monitors them?
• Can we throttle or pause campaigns from the dashboard before a reputation issue gets worse?
• What's the escalation path if LinkedIn flags our account?
• How often is our contact list re-verified, and what do you do with invalid addresses?

Those questions changed our evaluation. A tool can look like a great deal on paper, but if the delivery infrastructure is weak, the total cost goes through the roof.

Final thought from someone who signs the purchase order

If you're a revenue operations leader, involve the person who handles procurement early. We're not the ones using the tool day to day, but we're the ones who see what happens when a subscription doesn't deliver. And if you're evaluating tools right now, don't let the AI sales agent hype push you past the fundamentals.

As of mid-2026, this reflects what I've learned from our latest evaluation process. The market changes quickly, so verify current documentation before you buy. I don't pretend to know everything about email infrastructure—I'm the buyer, not the engineer. But I do know that the cheapest tool isn't cheap if it damages your domain, your data, or your team's momentum.

The bottom line: compare features, sure. But compare total cost, delivery infrastructure, and compliance controls first. That's what determines whether the tool pays for itself or costs you more than the price tag.