AI SDR COMPARISON

11x vs AiSDR: The $60K Gamble vs the $2,700 Test

One AI SDR just got exposed by TechCrunch for fake customers and wants you locked in for a year. The other publishes pricing and lets you leave quarterly. This comparison isn't close.

The Short Version: AiSDR. Not even a debate. 11x costs 6x more, requires annual commitments, has credibility issues, and can't even handle replies. AiSDR gives you quarterly flexibility, transparent pricing, and better user reviews. The only scenario where 11x makes sense is if you're doing 100K+ emails monthly and can absorb the risk.
$60K
11x Annual
Minimum Cost
$2.7K
AiSDR Quarterly
Cost
75%
11x Reported
3-Month Churn
5.0
AiSDR G2
Rating

Let's Just Look at the Numbers

I try to be fair in these comparisons. But sometimes the data speaks for itself.

Factor 11x (Alice) AiSDR
Annual Cost ~$60,000 Not Public ~$10,800 Published
Contract Terms Annual (1-3 years) Locked In Quarterly Cancel Anytime
Price Per Email ~$1.67 ~$0.75
Reply Handling Can't do it Major Gap Under 10 min response Included
G2 Profile Unclaimed Red Flag Active, 5.0/5 rating
TechCrunch Coverage Investigation: fake customers March 2025 Ranked Top 3 AI SDR Positive
Pricing Transparency Hidden. Requires sales call. Published on website.
Contact Database Not disclosed 700M+ contacts
Unused Credits Unknown Roll over to next quarter

What You're Actually Risking

Let me make this concrete. Here's what each path looks like financially.

11x: The Annual Gamble

Monthly cost (estimated) $5,000
Contract minimum 12 months
If it doesn't work, you're out $60,000

AiSDR: The Quarterly Test

Monthly cost (base tier) $900
Contract minimum 3 months
If it doesn't work, you're out $2,700

That's 22x less risk. For most teams, that difference alone should end the conversation.

But let's say money isn't the issue. Let's say you've got budget and you just want the best tool. Even then, AiSDR wins. It handles replies. It has transparent pricing. It has positive user reviews. And it wasn't just featured in a TechCrunch investigation about fake customers.

11x (Alice AI SDR)

$74M raised from a16z, Benchmark · TechCrunch investigation March 2025
🚨

The Credibility Problem

In March 2025, TechCrunch reported that 11x was listing customers it didn't actually have. ZoomInfo and Airtable among them. ZoomInfo said the product "performed significantly worse than our SDR employees" during a trial. There are also allegations of inflated ARR by counting short trials as annual contracts.

Source: TechCrunch investigation (March 24, 2025)

Look, I get that startups have to move fast. But fake customers? That's not a growth hack. That's fraud-adjacent behavior that should make you question everything else they're telling you.

"TL;DR: 11x is the biggest disappointment. They promised endless results but delivered none. They don't personalize as they promise, don't handle replies either, and locked us into an annual contract which they refuse to break."
— SDR Manager, Medium review

That review stings because it's not just about features. It's about trust. The person believed the pitch, signed a contract, and now they're stuck paying for something they don't use.

When 11x Might Make Sense

I'll be fair. There is a use case for 11x.

If you're targeting 100K+ contacts monthly with a massive, undifferentiated TAM, and you have the budget to absorb $60K if it fails, and you have the internal resources to verify their claims independently, then 11x's "done for you" approach might save your team time.

But that's a lot of qualifiers. Most teams don't fit that profile.

AiSDR

Founded 2022 · 200+ customers · TechCrunch Top 3 AI SDR

Confidence Through Flexibility

When a vendor publishes pricing and offers quarterly contracts with cancel-anytime terms, they're telling you something. They believe their product will speak for itself. They don't need to lock you in to keep you around.

AiSDR does everything 11x claims to do. And then some. Lead identification from 700M+ contacts. Personalized outreach. LinkedIn messaging. And crucially, it handles replies. In under 10 minutes.

That last part matters more than you might think. What's the point of an AI SDR that gets someone interested but then can't respond when they reply? You're back to doing the work yourself.

"AiSDR booked calls for us on the first day of campaign kickoff. The AI prompts for the email content worked remarkably well and sounded very human."
— Verified G2 User, G2 Reviews
"AiSDR has replaced our telemarketing function. The system is providing us large scale personalisation at speed, something an SDR would struggle with today's outreach volume requirements."
— Verified G2 User, G2 Reviews

What AiSDR Lacks

It's not perfect. Let me be clear about the limitations.

Salesforce integration isn't ready yet. If you're not on HubSpot, you'll have to wait or work around it. The signal customization is limited compared to building your own outbound stack. And at scale, the per-message pricing can add up.

But those are feature gaps, not credibility gaps. Features can be built. Trust, once broken, is harder to repair.

This One's Easy

The CRO Report's Bottom Line

AiSDR wins. Decisively.

It's not just about the 6x price difference, though that matters. It's not just about the quarterly flexibility, though that matters too. It's about which company is being straight with you.

11x hides pricing, requires annual commitments, got caught claiming fake customers, and still hasn't claimed their G2 profile. AiSDR publishes pricing, offers quarterly terms, has positive reviews, and got ranked top 3 in their category by TechCrunch.

Sometimes the choice really is this clear.

The play: Try AiSDR for one quarter. Spend $2,700 instead of $60,000. If AI SDRs work for your business, you'll know. If they don't, you've learned something valuable at minimal cost.

About the Author

Rome Thorndike is VP of Revenue at Firmograph.ai, where he builds AI agents that analyze GTM data for revenue leaders. His career spans enterprise sales at Salesforce and Microsoft, helping scale Sequoia-backed Snapdocs from Series A through Series D, and leading sales at Datajoy through its acquisition by Databricks. Rome holds an MBA from UC Berkeley Haas with a focus on statistical analysis and machine learning.

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Last Updated: January 2026 · Sources include TechCrunch, G2 Reviews, Medium, and company websites.