How to Compare Two AI SDR Platforms Side by Side: A 12-Row Worksheet for Your Shortlist

You have narrowed the field to two AI SDR platforms. Both demos looked good. Both sales reps answered every question. So you search for a page that puts the two side by side, and you find several. Every one of them was written by one of the two vendors.

That is the problem with the vendor-versus-vendor page as a decision tool. It is not wrong, exactly. It is just a comparison where one side chose the rows. The rows it chooses are the ones it wins. The rows that decide whether the tool protects your brand, your domains and your pipeline are usually missing, because neither vendor wins them cleanly.

This guide gives you a worksheet of twelve rows that apply to any two AI SDR platforms, in any order, from any vendor. For each row you get the question to ask, how to fill the cell, and what a safe answer looks like. It is built for the shortlist stage: you have two names left and a decision to make within a few weeks. If you are earlier than that and still asking whether an AI SDR is the right category at all, start with the guide to AI SDR alternatives and come back.

What a vendor comparison page is built to do

A page titled "Platform A vs Platform B" on Platform A's blog has one job: to keep you from choosing Platform B. It does that job well. It compares feature counts, integrations, data sources and pricing tiers, because those are the rows where a product team can make its own product look complete.

What it almost never compares is authority. Who decides what gets written. Who decides when it goes out. Whose reputation is on the line when it lands badly. These rows are uncomfortable for both vendors, because an autonomous tool's whole pitch is that nobody has to decide anything. So they are left off.

Definition: a side-by-side comparison worksheet is a fixed set of rows that you fill for every vendor on the same terms, using the vendor's own answers and your own test, before any of the vendors' marketing material is allowed in. The point is not to be fair to the vendors. The point is to be fair to yourself.

The 12 rows

Fill one column per platform. Write what the vendor said, then what you saw in the trial, and mark the two separately when they disagree. The rows are grouped by what they protect: your messaging, your infrastructure, your pipeline and your money.

Row 1: Who writes the first draft

Ask: when a new campaign starts, who writes the first version of the sequence? The AI from a prompt, a person on your team, a person on the vendor's team, or a template library?

This row sets the tone for everything downstream. A first draft written by a model from a one-line prompt will be fluent and generic. A first draft written by someone who read your positioning will be slower and specific. Neither is wrong, but you need to know which one you are buying, because the fixes for each are different.

A safe answer looks like: a person writes or at least shapes the first draft, and the AI's job is to personalize inside it. If the honest answer is "the model writes it and you can edit", go to row 2 immediately, because the edit step is where your brand actually lives.

Row 2: Who signs off on the messaging, and when

Ask: before a single email leaves, who approves the messaging, and is that approval on the sequence as a whole or on each individual message?

There is a real difference between approving a campaign's messaging once and approving every message. Approving the campaign means a human sets the boundaries and the AI personalizes inside them. Approving every message does not scale and nobody really does it, whatever the demo implies. What you want to know is whether there is a sign-off step at all, where it sits, and whether the AI can send anything that was not covered by it.

A safe answer looks like: a human sets and signs off on the messaging, the AI personalizes within those approved boundaries, and the AI never sends on its own. If the platform cannot describe where sign-off happens without using the word "optional", write that down as the answer. Our piece on keeping brand voice consistent with AI covers what drifts when this step is missing.

Row 3: Who presses send

Ask: once a sequence is approved, does the platform send autonomously, on a schedule a human set, or only after a human releases each batch?

This is the row that separates the autonomous category from everything else, and it is the one most vendor pages skip. "AI-powered sending" can mean a model chooses the send time, or that a model decides whether to send at all, or that a model writes a new message when a reply comes in and sends that too. Those are three very different levels of control.

A safe answer looks like: the AI prepares, a human-approved configuration governs sending, and nothing goes out that was not covered by the sign-off in row 2. The platform should be able to show you, in the product, exactly what would be sent tomorrow morning before it is sent.

Row 4: Whose domains and mailboxes carry the risk

Ask: do campaigns send from your primary domain, from secondary domains you own, or from infrastructure the vendor provides and maintains? And who absorbs the damage when a domain gets flagged?

Most comparison pages list "deliverability tools" as a feature. The question underneath is simpler: when something goes wrong, is it your company's name on the burned domain? A tool that sends from your main domain is asking you to put your corporate email reputation behind cold outreach. That is a decision, not a default.

A safe answer looks like: sending runs on dedicated, pre-warmed infrastructure that is separate from your primary domain, with enough spread that no single mailbox or domain matters. We have written about why infrastructure diversity matters and about what pre-warmed infrastructure changes for launch timing. Ask each vendor to describe their answer without the word "best-in-class".

Row 5: What happens when someone replies

Ask: when a prospect answers, who reads it first, who classifies it, who writes the response, and who sends that response?

The sending side of an AI SDR gets all the attention. The reply side carries more of the risk. A reply is a real person, often senior, who has just chosen to engage. An automated answer that misreads a question, a complaint or an opt-out does more damage in one message than a hundred unopened cold emails. This is also where most teams discover what "autonomous" really means in their chosen tool.

A safe answer looks like: replies land where a human sees them before anything is sent back, with categories that separate interest, objections, out-of-office and opt-outs, and opt-outs honored automatically across every campaign. The detail is in how to handle replies to AI-driven cold outreach.

Row 6: Which channels, and how LinkedIn is protected

Ask: is this email only, or email plus LinkedIn? If LinkedIn is included, whose profiles does it act on, and what stops it from getting those profiles restricted?

Multichannel is now a standard row on vendor pages, usually as a checkmark. The checkmark hides the part that matters. LinkedIn actions run on a real person's profile, usually a founder's or a rep's, and that profile has a career attached to it. A tool that sends connection requests at email volume will get it restricted. What you need to see is the throttle, not the checkmark.

A safe answer looks like: LinkedIn touches sit in the same sequence as the emails, replies land in the same inbox, and the platform limits volume on its own: working hours only, lower volume for newly connected accounts, and an automatic stop when acceptance rates fall. If the vendor cannot name the limits, assume there are none. The broader sequencing logic is in multi-touch B2B outbound.

Row 7: Where the data comes from and how it is verified

Ask: which sources provide the contact data, is it verified before sending, and what happens to a contact that bounces?

Bounces are not just lost emails. They are a deliverability signal that damages every other email in the batch. A platform that imports a list and sends to it is pushing the verification cost onto your domains. A platform that verifies first is spending its own money to protect them.

A safe answer looks like: contacts are sourced against your ICP rather than bought in bulk, every address is verified before the first send, and bounces are removed and reported rather than retried.

Row 8: What you can see while it runs

Ask: open the dashboard. Can you see every active campaign, every message that went out, every reply, and the current state of every sending domain, without asking the vendor for a report?

Visibility is the row that makes every other row enforceable. You cannot hold a vendor to "a human signs off" if you cannot see what went out. You cannot catch a deliverability problem if the only view is a weekly PDF.

A safe answer looks like: you see everything in your dashboard, in real time, including the messages themselves and not just the counts. If one of the two platforms shows you message-level history and the other shows you aggregate rates, that difference will matter more than anything on the feature grid. Our guide to measuring whether an AI SDR is working lists what the dashboard needs to expose.

Row 9: How fast you can stop or scale back

Ask: if a campaign needs to stop right now, who can stop it, from where, and how long until the last scheduled message is actually cancelled?

Every team believes it will never need the brake until the morning it does: a prospect forwards your email to a journalist, a client asks why their competitor received your sequence, a domain starts bouncing. On that morning, "open a ticket with support" is not an answer.

A safe answer looks like: you can pause or scale back any campaign yourself, immediately, from the dashboard, and the vendor can do the same on your behalf if you are not at your desk. This belongs in the guardrails you set before scaling, and it should be tested during the trial, not read about in the docs.

Row 10: What the price does not include

Ask: beyond the subscription, what will we pay for? Data credits, extra mailboxes, domain purchases, warmup, verification, a dedicated account manager, seats for the people who review replies?

Pricing is the row vendor pages love, because a lower sticker price is the easiest row to win. The sticker price is rarely what you pay. The useful comparison is the all-in monthly cost at the volume you actually plan to run, including the people on your side who have to operate it. The real cost of an AI SDR walks through the lines that usually get left out.

A safe answer looks like: a written list of what is included at your planned volume, with infrastructure, data and review time either inside the price or priced explicitly. Write the all-in number in the cell, not the tier name.

Row 11: Time to first qualified lead

Ask: from signature to the first reply that a human on our side would call qualified, how long, and what has to happen in between?

Most of the gap between vendors here is infrastructure, not software. A platform that needs you to buy domains and warm them up will take weeks before the first real send, whatever the onboarding deck says. A platform with pre-warmed infrastructure can start sending within a day. Ask for the sequence of steps and who does each one.

A safe answer looks like: a clear step list, with the sending start measured in days rather than weeks, and no step that quietly depends on your team doing infrastructure work. Lidgen's own figure is that sending can start within 24 hours on pre-warmed infrastructure, with no four-week warmup; ask each vendor for theirs in the same terms.

Row 12: What you keep if you leave

Ask: at the end of the contract, what do we walk away with? The contact data, the sequences, the reply history, the domains, the LinkedIn connections, the performance data?

This row is almost never on a vendor page, for obvious reasons. It matters twice: once because you may actually leave, and once because the answer tells you how the vendor thinks about your account. A platform that exports everything cleanly is confident you will stay for the results. A platform that keeps the data is confident you will stay because leaving hurts.

A safe answer looks like: your data, your sequences and your reply history export in a usable format, and anything that ran on your own profiles or domains stays yours. Confirm it in the contract, not in the sales call.

How to score the worksheet

Do not add up points. Twelve rows with a score out of five each produces a number that looks precise and means nothing, because a perfect score on data sources does not offset an autonomous reply bot.

Instead, sort each row into one of three outcomes:

1. Disqualifier. One platform's answer is something your company cannot accept, regardless of the other rows. Rows 2, 3, 4 and 5 are where disqualifiers usually appear. A single disqualifier ends the comparison for that platform.

2. Difference. Both answers are acceptable, but one is clearly better for your situation. Most rows land here. Note which way it leans and by how much, in words.

3. Tie. The answers are the same, or the difference does not matter at your volume. Cross the row out and stop letting the vendors argue about it.

When you are done, you usually find that the decision was made by two or three rows, and that they were not the rows either vendor page led with. That is the worksheet doing its job.

The column most comparison pages leave out

Here is the uncomfortable part. When you fill the worksheet honestly for two autonomous AI SDR platforms, rows 2, 3 and 5 tend to come out the same: the model drafts, the model sends, the model replies, and a human can intervene if they are watching. The two platforms differ on data, integrations and price, and agree on authority. You are choosing between two versions of the same risk.

So add a third column, even if it is only to make the first two honest. The third column is a human-in-the-loop platform: the same AI doing the heavy lifting on research and personalization, running on the same kind of dedicated infrastructure, but with a human setting and signing off on the messaging, and the AI never sending on its own.

That is the model Lidgen runs, in two forms. Lidgen Platform-Led (the self-service option, for teams who want hands on the controls) means your team runs the campaigns on Lidgen's platform and infrastructure, with our guidance. Lidgen Done-for-You (the managed option) means we run everything, including your inbox, and you see every campaign in your dashboard and can stop or scale back at any time. Both run on pre-warmed infrastructure with near-100% primary inbox placement, and the choice between them is about how much bandwidth your team has, not about which one is safer. Which form fits is covered in which outbound model fits your growth stage.

Put that column through all twelve rows too. It does not win every row. It is slower to get a first draft than a model typing from a prompt, and it asks something of a person on your side at the sign-off step. But it changes the answers in rows 2, 3, 5 and 9 from "the model, unless someone is watching" to "a person, by design", and for most B2B teams with a brand to protect, that is the comparison that decides it. The reasoning behind that architecture is in human-in-the-loop AI for B2B outbound.

A worked example: filling the worksheet in two 30-minute calls

You do not need a long evaluation to fill the sheet. You need one structured call per vendor, with the twelve questions in front of you, and a trial afterwards to check the answers that matter most.

Before the calls: write your planned volume and your ICP at the top of the sheet, so every answer is given against the same numbers: [planned monthly send volume], [number of segments], [target titles and company size], [channels you will actually use].

On each call: ask the twelve questions in order, type the vendor's answer into the cell as they say it, and ask "can you show me that in the product?" for rows 2, 3, 5, 8 and 9. Note which ones they could show and which ones they described.

In the trial: test the three things you cannot verify on a call. Send a reply to your own sequence from a personal address and watch what the platform does with it (row 5). Pause a live campaign and time how long until the next scheduled send is cancelled (row 9). Ask for a full export on day three, not on the last day (row 12). A longer trial protocol is in how to run a trial that actually tells you something, and the pre-purchase questions are in how to evaluate an AI SDR tool before you buy it.

After: sort the rows into disqualifiers, differences and ties. If both columns survive the disqualifiers, the decision is usually in two or three difference rows. If neither survives, you have learned that before signing, which is the cheapest time to learn it.

Common mistakes when comparing two AI SDR platforms

Letting the vendor's comparison page set the rows. If your worksheet has "number of integrations" and not "who presses send", one of the vendors wrote it for you.

Comparing demo output instead of trial output. Demo sequences are written by the vendor's best copywriter on the vendor's best-performing ICP. Trial sequences are what your team will actually get on your list. Only the second one goes in the cell.

Treating a checkmark as an answer. "LinkedIn: yes" and "Deliverability: yes" are not answers to rows 4 and 6. The answer is the mechanism. If the mechanism cannot be described in two sentences, the checkmark is marketing.

Scoring by points. Adding up rows lets a strong data source paper over an autonomous reply bot. Disqualifier, difference, tie. Nothing else.

Forgetting the third column. Two autonomous platforms will look very different on the feature grid and nearly identical on authority. If the comparison never includes a model where a human holds sign-off, you are not comparing models. You are comparing logos.

FAQ

Are AI sales agents safe for brand reputation?

They are as safe as their answers to rows 2, 3 and 5. An AI SDR where a model drafts, sends and replies on its own puts your brand voice and your domains at the mercy of the model's judgment, with a human intervening only if someone is watching. An AI SDR where a human sets and signs off on the messaging and the AI never sends on its own has a very different risk profile. The label "AI sales agent" covers both, which is why the worksheet asks about authority rather than category.

Which rows matter most if we only have time for a few?

Rows 2, 3, 4 and 5: who signs off, who sends, whose domains, and what happens on a reply. Those four decide the risk. Rows 8 and 9, visibility and the brake, decide whether you can enforce the first four. Price (row 10) comes after all of them.

Should we fill the worksheet ourselves or ask the vendors to?

Ask the vendors the questions, but fill the cells yourself, in your words, during the call. A worksheet filled in by the vendor turns back into a comparison page. Then confirm rows 5, 9 and 12 in the trial rather than trusting the call.

Is a human-in-the-loop platform slower than an autonomous AI SDR?

At the first-draft step, slightly, because a person shapes the messaging before the AI personalizes it. At launch, usually not: launch speed is set by infrastructure, and a platform with pre-warmed domains starts sending within a day, which an autonomous tool that needs your own domains warmed cannot match. On replies, a human-in-the-loop setup is often faster in the way that matters, because the reply that reaches the prospect does not have to be undone afterwards.

The bottom line

A comparison between two AI SDR platforms is only as good as the rows in it. Vendor pages choose rows they win. The twelve rows above are the ones that decide outcomes: who writes, who signs off, who sends, whose domains, what happens on a reply, which channels and how they are protected, where the data comes from, what you can see, how fast you can stop, what the price leaves out, how soon the first lead arrives, and what you keep when you go.

Fill them for both platforms on the same terms. Then add the column that most comparison pages leave out, and see which rows change. If you want to put Lidgen in that third column and run it through all twelve, book a strategy call and bring the worksheet. We will fill it in with you, including the rows we do not win.