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How it works

From your website to a working GTM team.

Five connected steps. You approve the profile first, and you choose how much runs without you.

  1. 01

    Learn your business

    Agents read your website and propose your ICP, personas, value propositions, competitors, approved proof points, brand voice and banned claims. You can edit and approve all of it.

    Company profile · draft from northstar.example

    Demo data
    • ICPB2B software, 50 to 500 people, UK and USApproved
    • PersonasVP Engineering, Head of PlatformApproved
    • Value propositionConsistent developer workflows as teams growNeeds review
    • Competitors3 found on your comparison pagesNeeds review
    • Proof points2 case studies, 1 benchmark pageApproved
    • Brand voicePlain, technical, no hypeApproved
    • Banned claims“guaranteed”, “80% cheaper”Approved

    Each item links to the page it came from.

  2. 02

    Find your buyers

    Agents find relevant companies and decision-makers through the data providers you connect, then watch for signals such as new roles on public job boards.

    Accounts · ranked by fit

    Demo data

    Northstar

    northstar.example

    Match score

    94/100

    Signal
    Hiring platform engineers
    Reason to contact
    Infrastructure team expansion
    • Lumen Data88
    • Harbor CI81
    • Quarry Labs76
  3. 03

    Start conversations

    Agents prepare personalised outreach. Each researched sentence links to its source, and anything without one is dropped.

    Draft · step 1 of 3

    Demo data

    To: Sarah Patel, VP Engineering, Northstar Cloud (demo)

    Scaling your platform team

    Hi Sarah,

    I noticed your team is hiring platform engineers1.

    As infrastructure teams grow, keeping developer workflows consistent can become harder.

    Would it be useful to compare how teams approach that transition?

    [1] Careers page · Public company website

    Open platform engineering positions

  4. 04

    Follow up intelligently

    Any reply stops the sequence. Replies are classified and routed by your policy.

    Replies · routed by policy

    Demo data
    • InterestedDraft an answer with your booking link and tell your team
    • Not nowStop the sequence or defer it, by your policy
    • Not me, try PriyaDraft a referral follow-up for review
    • UnsubscribeAdd to the suppression list straight away

    Any reply stops the sequence for that person.

  5. 05

    Publish and compound demand

    Agents plan topics from your own concepts, draft articles with sources, fact-check them and publish to your site and configured channels.

    Content calendar · this week

    Demo data
    • MondayPlatform engineering trendsBlogIn review
    • WednesdayLinkedIn postLinkedIn pageScheduled
    • FridayTechnical blog articleBlogDrafting

    Every draft is fact-checked against its sources before review.

Better timing

The right buyer. A real reason. The right moment.

Agents score accounts against your approved ICP, then look for public signals that make now a good time to talk. Each reason shows where it came from and when it was seen.

Northstar Cloud

northstar.example

Demo data

ICP score

94 / 100

Why now
Hiring 8 platform engineers
Relevant persona
VP Engineering
Signal
Careers page updated recently
Suggested outreach angle
Discuss scaling platform operations while the team grows.
Employees
220
Market
UK, US
Stack
Kubernetes, Terraform
Evidence

8 open platform engineering roles

Seen 2 days ago (demo timestamp)

Fictional evidence for a fictional company.

Nothing is sent from here.

Trusted research

Every important claim should have a source.

Agents connect research-based statements to evidence you can inspect before outreach is sent. Sentences without a source are dropped. A source can still be wrong, so you can always check it.

Outreach draft · step 1 of 3

Demo data
ToSarah Patel, VP Engineering, Northstar Cloud (demo)
SubjectScaling your platform team

Hi Sarah,

I noticed your team is hiring platform engineers.

As infrastructure teams grow, keeping developer workflows consistent can become harder.

Would it be useful to compare how teams approach that transition?

We help teams reduce costs by 80%.

Checks

  • Claim source
    Sentence 1 cites the careers page.
  • Brand voice
    Plain and specific. No hype words.
  • Banned claim check
    “Reduce costs by 80%”: unsupported claim, needs evidence.

Review status

Needs changes

The draft cannot be approved while it has an unsupported claim.

Approving here sends nothing

FAQ

Questions, answered plainly.

Something else? Contact us.

What is an AI go-to-market team?

A set of AI agents that do the work a small sales and marketing team would do: learn your business, find buyers, write outreach, follow up, handle replies and publish content. You set the rules. They do the work and show you what they did.

How is Outladder different from an AI SDR?

An AI SDR usually covers outbound email. Outladder also researches your company, watches buying signals, handles replies and plans and publishes content, all from one approved company profile. Every outside action goes through the same approval policy and hard limits.

Do I need to connect my own data provider?

Yes, to find new contacts. Outladder uses your own keys for providers such as Apollo, RocketReach, Hunter or People Data Labs, or a CSV you import. We do not sell leads and we do not share a lead database between customers. You can still build your company profile and content plan without one.

Can Outladder use my existing mailboxes?

Yes. Connect Gmail, Microsoft 365 or any SMTP and IMAP mailbox, or run sequences through your own Smartlead or Instantly account. Outladder suggests separate sending domains, so cold email never puts your main domain at risk.

Can I approve outbound emails first?

Yes. Each channel has its own mode: approve every action, approve the first 10 and then run on their own, or autopilot. You can change the mode at any time, and there is a dry run switch that stops anything from being sent or posted.

What happens when a prospect replies?

Any reply stops the sequence for that person. The Reply Agent classifies it, for example interested, not now, a referral, out of office or unsubscribe. An interested reply gets a drafted answer, with your booking link if you set one. An unsubscribe goes on the suppression list straight away.

How does Outladder check AI-generated claims?

Each researched sentence in an email must point to a source, such as a signal or a field on the account. Sentences without a valid source are dropped. Sentences that use one of your banned claims are dropped too. Blog drafts go through a separate fact-check step.

This is a check in the workflow, not a guarantee. A source can be out of date or wrong, so you can inspect it before anything goes out.

Build the GTM team you don’t have to hire.

Start with your website. Review your plan. Choose your limits. Let your AI team get to work.

Build your GTM teamExplore the platform

Your tools. Your rules. Your growth.

How it works · Outladder AI