Do AI SDRs work, or are they a scam?
Neither label fits. AI SDRs are real software that sends real messages, and in one large poll most voters had not closed a deal from one yet. In November 2024, SaaStr founder Jason Lemkin published the results of a SaaStr LinkedIn poll that asked readers whether they had closed actual deals from an AI SDR. When SaaStr took its screenshot, with 869 votes and two days left:
| Answer | Share of votes |
|---|---|
| Yes, a significant number | 3% |
| Yes, a few | 3% |
| No, but they are building pipe | 11% |
| No, no deals from AI SDRs yet | 83% |
Three caveats. It is a self-selected poll of SaaStr's LinkedIn audience, and it is nearly two years old. It also doesn't say how many voters had tried an AI SDR at all. Lemkin's article says a survey Tomasz Tunguz presented at SaaStr Annual found a similar result: many B2B companies deploying AI SDRs, few deals closed, and one public company CRO with plenty of pipeline but no closed deals.
So the useful question is narrower: in which ways do they fail, and can you check for each one before you sign? Our guide to when AI SDRs work and how to test one fairly covers the setup side. This post is the post-mortem.
What do the AI SDR scam threads actually show?
Less than their titles suggest. The best-known one, an r/SaaS post from September 2025 with about 100 comments when checked on 24 October 2026, opens with a story about the poster's client: $2,000 a month for an AI SDR, zero demos booked, and a two-year contract with no way out. The story names no vendor, and nobody in the thread could check it. The top comment reads: "oh this was just a sales pitch for OPs startup."
The same text appeared again in a November 2025 r/SaaS post, this time ending with a link to the AI SDR tool the poster said the client now used. Its top comment told the moderators that this kind of spam was making people leave the subreddit.
That doesn't make the failure modes in those posts wrong. Wrong targets, generic sequences and awkward replies are the same problems people describe first-hand in a May 2026 r/sales thread by someone thinking about pulling the plug (about 30 comments when checked on 24 October 2026). The poster said their AI emails sounded generic and the replies were mostly polite refusals and unsubscribe requests. It does mean you should treat any single horror story, or any single success story, as marketing until it names numbers you can check.
Count the vendors, too. In the r/sales thread, at least six comments recommend a named AI outreach tool, and two of those commenters said they built the product they mentioned.
The five ways AI SDRs fail
Across these threads and the SaaStr data, failures fall into five patterns. Each one shows up as a symptom before it shows up as a lost deal. Our earlier guide lists the first three; the symptoms, causes and the last two are new here.
| Failure | Symptom | Usual cause |
|---|---|---|
| Generic copy | Openers that praise the company; replies asking to unsubscribe | The AI has nothing true and specific to say about the person |
| Wrong people | Replies from people who could never buy | A broad ideal customer profile, a large list, weak signals |
| Burned domain | Open and reply rates fall; mail lands in spam | Spam complaints above what Gmail tolerates |
| Pipeline, no deals | Meetings or interested replies that never close | Leads that fit on paper but have no reason to buy now |
| Lock-in | Still paying after you know it isn't working | Annual or quarterly terms signed before a pilot |
On generic copy, several commenters in the r/sales thread gave the same diagnosis: the model writes filler when it has no specific trigger. One described a test where every email had to mention one checkable fact about the company from the last 60 days. They reported replies rising from about 1% to single digits while volume fell by about 80%. That is one person's unverified test, but it is a cheap one to copy.
On burned domains, Google is specific. Its email sender guidelines tell senders to keep the spam rate reported in Postmaster Tools below 0.10% and never reach 0.30%, and warn that it can take time for improvements to show up in spam classification. At 0.3%, three spam reports per 1,000 Gmail recipients is the line. Our fix list for cold emails going to spam covers the checks to run, in order.
How do you tell which failure you have?
Look at three numbers in order: reply rate, then booking rate, then close rate. One commenter in the r/sales thread offered a rule of thumb that is worth testing on your own data:
- Replies under 1%: a list problem, not a tool problem.
- Replies around 2% to 3%, but nothing books: a copy or offer problem.
- Meetings book, but nothing closes: a sales motion problem.
Count only real replies. Another commenter in the same thread put it bluntly: "3x reply rate sounds great until you realize please stop emailing me counts as a reply." Ask any vendor whether its reply rate includes opt-outs, and keep your own count of positive replies.
Then price each real conversation. A worked example, using AiSDR's published pay-as-you-go price of $1.50 per person prospected (checked 24 October 2026) and assumptions we chose for illustration:
| Step | Number |
|---|---|
| People contacted | 1,000 |
| Cost at $1.50 per person | $1,500 |
| Replies at 1% | 10 |
| Positive replies, if half are opt-outs | 5 |
| Cost per positive reply | $300 |
| Same, if the reply rate is 3% (15 positive replies) | $100 |
AiSDR's pricing page gives its own rule of thumb, based on teams using it, of 1 to 3 booked meetings per 100 contacts; at that rate, 1,000 people would cost $50 to $150 per meeting. Either way, the reply rate moves the cost per conversation more than the tool's price does. One commenter in the r/sales thread reported a qualified reply rate of about 5% before switching to AI outbound and about 1% after. If your numbers moved like that at the same cost per person contacted, each conversation became five times as expensive. For prices across vendors, see our 2026 AI SDR pricing comparison.
A pre-purchase checklist
Ask these before you sign, and get the answers in writing. Each one maps to a failure above.
- Contract term and exit. Is it monthly, quarterly or annual, and what happens if the pilot fails? AiSDR's pricing page says pay-as-you-go is charged daily and team plans are billed monthly on quarterly contracts, with annual plans 20% cheaper than quarterly; the same page also says you can cancel at any time. Artisan's pricing page sizes plans to lead volume, mailboxes and dialer seats and quotes them through sales. Neither is wrong, but know which you are signing.
- A pilot with a pass mark. Agree on 30 days, a narrow segment, and a number of positive replies or qualified meetings that counts as success.
- The reason for each lead. Can you see why each person was picked? If not, you can't fix a list problem.
- Daily caps per channel. What is the most it will send per mailbox and per social account each day, and can you lower it?
- Who checks each message. A person, a second model, or nobody? Our guide to what human approval should cover helps you decide which you need.
- Stop rules. Does outreach stop when someone says no, asks to stop or books a meeting?
- Spam monitoring. Will you have access to Google Postmaster Tools for the sending domain?
- Reply handling. Who answers a real question, and how fast?
- Reporting. Are positive replies reported separately from opt-outs?
- Your data. What happens to your leads and conversations when you cancel?
What setup works for a team of 1 to 20?
Small volume, narrow targets and fast human replies. Commenters who say they get results describe using AI for research, timing and first drafts, and keeping a person on the conversation once someone answers. The r/SaaS scam post, which commenters called an ad, ended with a pitch along the same lines: a person defines the ideal customer, AI finds high-intent leads, and a human takes over once a lead replies.
- Start with one segment you can describe in a sentence.
- Contact only people with a recent, checkable reason: a post about the problem, a job ad, a tool comparison.
- Keep daily volume low enough that you can answer every reply within hours.
- Review the first 50 messages yourself before you let anything run unattended.
- Judge it after 30 days on positive replies and meetings.
We make an AI SDR, so read this list with that in mind. With Hot leads selected, Siela's AI SDR only contacts leads it scores hot, each with a one-line reason. It caps LinkedIn and X at 50 people a day each and email at 150 a day per Gmail mailbox. A second AI reviewer checks every LinkedIn and X message before it is sent, follow-ups stop when someone books, says yes, says no or asks to stop, and a Find leads only mode saves leads to the CRM without sending anything. Plans are monthly, with AI usage billed as credits.
Frequently asked questions
Why do AI SDR emails sound so generic?
Usually because the model has nothing specific to say about the person. With only a name, title and company, it falls back on flattery and stock phrases. Commenters in a May 2026 r/sales thread said the fix is a real trigger: one recent, checkable fact, such as a job ad or a post about the problem, that explains why you are writing now.
What reply rate should an AI SDR get?
Be wary of headline figures: as one commenter in a May 2026 r/sales thread pointed out, a reply rate can include people asking you to stop. Track positive replies separately. Another commenter there offered a rule of thumb: under 1% suggests a list problem, 2% to 3% with no bookings a copy or offer problem, and bookings with no closed deals a sales problem.
What does one positive reply cost with an AI SDR?
It depends more on the reply rate than on the price. At AiSDR's pay-as-you-go price of $1.50 per person prospected, checked 24 October 2026, 1,000 people cost $1,500. If 1% reply and half are opt-outs, each positive reply costs $300; at 3%, $100. AiSDR's own rule of thumb, based on teams using it, is 1 to 3 booked meetings per 100 contacts.
What should an AI SDR contract say about a failed pilot?
It should say what happens if the pass mark is missed. Agree the mark first, such as a number of positive replies or qualified meetings in 30 days, as one commenter in a September 2025 r/SaaS thread suggested. Terms differ: AiSDR's pricing page says team plans are billed monthly on quarterly contracts and that you can cancel anytime, while Artisan quotes plans through sales. Get the exit terms in writing.
Are the AI SDR scam posts on Reddit real?
The best-known one tells a second-hand story about an unnamed vendor that nobody could check, and its top comments called it a pitch for the poster's own startup. A near-identical repost later linked to an AI SDR tool. The failure modes it describes are real, but treat any single horror or success story as marketing until it gives checkable numbers.
Sources
- SaaStr: 83% Percent of You Haven't Gotten AI SDRs to Work … Yet (Jason Lemkin) (8 Nov 2024, checked 24 Oct 2026)
- r/sales: Any good result with AI SDR? I'm thinking about pulling the plug (7 May 2026, checked 24 Oct 2026)
- r/SaaS: AI SDR IS A SCAM. (30 Sep 2025, checked 24 Oct 2026)
- r/SaaS: AI SDR IS A SCAM. (repost) (5 Nov 2025, checked 24 Oct 2026)
- Google Workspace Admin Help: Email sender guidelines (checked 24 Oct 2026)
- AiSDR pricing (checked 24 Oct 2026)
- Artisan pricing (checked 24 Oct 2026)