A system that chains sales development steps: understanding an offer, sourcing prospects, analysing their context, preparing outreach and keeping the memory of the relationship. It describes a function, not a person.

Does an AI SDR replace a sales rep?

No. It removes most of the research, writing and admin. Conversations, qualification and closing stay with your team.

How does it choose prospects?

From the ideal customer profile inferred from your offer: roles, industries, company sizes and regions. That profile stays visible and editable.

How does it decide which action to propose?

It uses the context available for that prospect and the history of the relationship, then picks the channel and angle that fit best.

Can I edit what it prepares?

Yes. Every message or script can be edited before sending, and the target profile can be adjusted at any time.

What does the analysis rely on?

On the information you provide about your offer, and on context available around the prospect and their company. Not every signal exists for every prospect.

Do I need technical skills?

No. The starting point is your website URL or a description of your offer. There are no workflows to build.

AI SDR for B2B outbound

Your AI SDR for prospecting — with you in control

"AI SDR" describes a function, not a person. It means a system that chains the sales development steps: reading a company's offer, finding relevant prospects, analysing their context, shaping the approach, choosing a channel and remembering what happened. That is what GetCalls does.

What an AI SDR actually is

An AI SDR is software that takes over successive sales development tasks without a human triggering each one. It is not a message generator: it decides what should be prepared next, based on what it knows about your offer and your prospects.

The difference with rule-based AI sales automation is the input. A rule waits for a condition you wrote; an agent starts from a goal and composes the intermediate steps itself.

Calling this an AI sales agent or an AI sales development representative describes a role in the workflow. It is not an employee, and it does not pretend to be one.

What the agent can genuinely take on

These are the capabilities GetCalls ships, not a general claim about AI outbound.

Read your business

Your site, catalogues or a description are analysed to identify offers and selling arguments.

Build a target profile

Roles, industries, company sizes and regions that fit what you sell are inferred.

Keep sourcing

Prospect discovery runs over time instead of depending on a one-off import.

Analyse a prospect

Available context about the person and the company is gathered before an action is proposed.

Prepare a dated action

A LinkedIn message, an email or a call script, with the channel chosen from context.

Remember

Replies, refusals and callback requests stay attached to the prospect's record.

The reasoning chain, step by step

Each step feeds the next — that is what separates an agent from a text generator.

01
Company
Understand the business, its offers and its buyers from the sources you provide.
02
Market
Identify prospects consistent with that profile, continuously.
03
Prospect
Collect the context available: role, company, news, usable public information.
04
Decision
Determine whether there is a relevant action today, and which one.
05
Execution
Prepare the approach on LinkedIn, by email or by phone.
06
Memory
Keep replies, deadlines and tone to prepare the next steps.

Memory and timing

Most lost opportunities are not lost on the first message. They are lost on the second one that never went out. A prospect asks to be contacted later, someone notes it somewhere, and it disappears.

The agent treats those deadlines as context: what was said, on which channel, and when picking the thread back up makes sense. The action reappears in your queue at the agreed time, with the conversation attached.

That memory is also what prevents a first-touch opener from being sent to someone who already replied to you.

AI agent versus rule-based automation

Both remain useful. They simply ask different things of the user.

Rule-based automation

You describe conditions and branches.
Output is predictable and repeatable.
Each new case needs a new rule.
Personalisation is limited to available variables.

AI agent

You describe your offer, not the procedure.
The action is composed from context found.
Edge cases do not require new configuration.
Output should be reviewed — approval still matters.

What GetCalls does not do

An AI SDR is only useful if its limits are explicit. The AI prepares; you build the relationship.

It does not run the conversation

As soon as a prospect replies, GetCalls suggests a new reply based on the context. You edit or approve.

It does not send without approval

Prepared outreach waits for your go-ahead. LinkedIn connection request automation is also available.

It does not book meetings on its own

Qualifying, negotiating and closing remain human sales work.

AI SDR FAQ

What is an AI SDR?: A system that chains sales development steps: understanding an offer, sourcing prospects, analysing their context, preparing outreach and keeping the memory of the relationship. It describes a function, not a person.
Does an AI SDR replace a sales rep?: No. It removes most of the research, writing and admin. Conversations, qualification and closing stay with your team.
How does it choose prospects?: From the ideal customer profile inferred from your offer: roles, industries, company sizes and regions. That profile stays visible and editable.
How does it decide which action to propose?: It uses the context available for that prospect and the history of the relationship, then picks the channel and angle that fit best.
Can I edit what it prepares?: Yes. Every message or script can be edited before sending, and the target profile can be adjusted at any time.
What does the analysis rely on?: On the information you provide about your offer, and on context available around the prospect and their company. Not every signal exists for every prospect.
Do I need technical skills?: No. The starting point is your website URL or a description of your offer. There are no workflows to build.

Explore related topics

Sales prospecting automationThe full chain, step by step, and where human approval sits.Sales prospecting softwareWhat a prospecting stack has to cover to avoid tool sprawl.LinkedIn prospectingTurning context into outreach that does not read like a template.

See what the agent prepares for your business

One URL is enough: GetCalls reads your offer, finds prospects and drafts the first actions.

Try the AI SDR