LinkedIn

A LinkedIn automation tool that keeps you in control

Yalors automates the repetitive parts of LinkedIn prospecting: finding the right decision-makers, visiting their profile, sending the invitation, waiting for the accept, then sending the message. Everything runs through your own LinkedIn account, with daily caps and a gradual warm-up so you stay reasonable.

Updated October 9, 2026

What can you automate on LinkedIn with Yalors?

  • Search for people (decision-makers, founders, managers) or companies (by headcount, with open jobs).
  • Profile visits, a light first touch before the invitation.
  • Invitations, with or without a personal note.
  • Waits and conditions: “invitation accepted?”, then a different next step for each answer.
  • LinkedIn messages to people who accepted, with variables, spintax and A/B variants.
  • An automatic stop as soon as someone replies, with the reply in a unified inbox.

Finding the right decision-makers

LinkedIn search in Yalors runs through your connected account. For people, filter by keywords, job title, location, industry, current company, school and connection degree. If your account has Sales Navigator, seniority and company-size filters are added. For companies, filter by industry, location, headcount and whether they have open jobs, which is a useful signal for recruiters and service providers.

A LinkedIn search costs 1 search credit, and the first 10 pages of results are included. Pick the relevant profiles and save them to a list with notes, tags and a status.

People search or company search: which one?

If you know which role buys your offer (CFO, HR manager, founder), start with people search. If you know which kind of company needs it (one that is hiring, an 11–50 employee firm in a given industry), start with company search, then look for the decision-makers at the companies you like.

A typical LinkedIn sequence, step by step

The sequence builder is visual: you place steps, delays and conditions. Here is a simple, careful example:

  1. 1
    Day 0: profile visit

    Yalors visits the lead’s profile. Nothing is sent yet.

  2. 2
    Day 1: invitation

    A short invitation, with or without a note. A note that mentions something specific (role, company, recent news) reads better than a generic line.

  3. 3
    Wait 3 days, then a condition

    If the invitation was accepted, the sequence moves on to the message. If not, it can wait longer or stop.

  4. 4
    First message

    Two or three sentences: why you, why them, and one simple question. Variables with fallbacks like {{first_name|there}} avoid blanks.

  5. 5
    A well-spaced follow-up

    A useful follow-up a few days later, shorter than the first message. If they reply in between, everything stops.

How do you lower the risk of a LinkedIn restriction?

To be clear: no tool can promise that a LinkedIn account will never be restricted. LinkedIn does not officially support automating personal accounts, and Yalors is not affiliated with or endorsed by LinkedIn. What Yalors does is help you stay reasonable:

SettingDefaultWhat it does
LinkedIn invitations / day15 per accountAdjustable; above the default, the risk goes up
LinkedIn messages / day50 per accountShared by every campaign on that account
Warm-up14 daysA newly connected account starts at half its limits
Sending windowsDays and hours you chooseIn your timezone
Random delaysAlways onNo bursts of identical actions
Stop on replyOnNo more automated messages once someone replies

For more detail, read our guide on LinkedIn invitation limits.

Personal messages without spending your day on them

Variables and spintax

First name, company, job title… with a fallback value, plus variations like {Hi|Hello} so messages are not all identical.

A/B tests

Two versions of the same message: each prospect gets A or B, and the per-step funnel shows which one gets more replies.

AI personal hooks

AI writes an opening line specific to each prospect from their real data (job title, company). Insert it with {{ai_hook}}.

Copy check

Before sending, Yalors flags canned phrases, invitation notes that are too long, and links in invitations.

What happens when replies come in?

LinkedIn replies land in the unified inbox. The AI copilot tags the intent (interested, question, objection, not now…), summarises it and drafts an answer in the lead’s language, which you review before sending. To combine LinkedIn with email or WhatsApp, see multichannel outreach.

Who is it for?

Recruiters targeting companies that are hiring (Yalors for recruiting), B2B service providers and consultants who sell to specific roles, and founders who do their own prospecting. Plans and channel counts are on the pricing page.

Frequently asked questions

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LinkedIn Automation Tool for B2B Prospecting | Yalors