LinkedIn outreach

Find decision makers at any company via our research engine search, then Our AI drafts personalized InMail-ready messages.

How it works

Under the hood, SAIDR runs a targeted research search against site:linkedin.com/in with your specified titles at the target company. Results are saved as LinkedIn prospects scoped to your tenant. Then Our AI drafts a short, context-rich message for each — short enough for InMail, warm enough for a regular connection request.

Find decision makers

  1. 1
    Go to Dashboard → LinkedIn.
  2. 2
    Type the target company (e.g. HubSpot, Databricks, or any company).
  3. 3
    Tweak the Target titles chips if your ICP isn't the default (VP Sales, CRO, Chief Revenue Officer, etc.). Click Add to include a custom title.
  4. 4
    Click Find Decision Makers. Results appear in ~5–10 seconds.
Why no actual login to LinkedIn? SAIDR does not scrape LinkedIn or hold any LinkedIn credentials. Everything comes from public search data via our research engine, plus AI-generated text. You paste the final message into LinkedIn yourself (or into an outreach tool), which keeps your account compliant.

Generate messages

  1. 1
    On any prospect card, click Generate. Our AI writes a connection-request message and a longer InMail variant in ~10 seconds.
  2. 2
    Use Generate All at the top to run the whole list in parallel (subject to your plan quota).
  3. 3
    Click View Messages to see both variants. Copy the one you want.

Sending on LinkedIn

SAIDR gives you the message text. You send it through your own LinkedIn account — either as a connection-request note (300 chars) or as an InMail (longer). We recommend sending 15–20 per day from any individual account to stay under LinkedIn's automation heuristics.

LinkedIn explicitly discourages third-party automation of messaging. SAIDR intentionally does not automate the send step for your protection. Don't use Chrome extensions or scrapers on top of the SAIDR output; it's not worth a restriction on your account.

Data quality

Our research engine surfaces real LinkedIn profile data but occasionally mixes signals (old job title, wrong person with the same name). Always skim before you send. If a prospect shows a garbled title or bio, click Delete to remove it from your list — it won't count against quota.