// INTEGRATION
LinkedIn Automation Playbooks with OpenAI (GPT)
Run the AI steps of your LinkedIn workflows on OpenAI GPT.
These playbooks score leads against your ICP, filter companies, and draft personalized outreach, and the model is swappable, built with Periodix Actions.
// PLAYBOOKS
5 playbooks
Enrich Any LinkedIn Profile With Full Structured Data
LiveA LinkedIn search returns names and headlines, but outreach built on a headline alone sounds generic. You need the full picture: current and past roles, company details, skills, education, and summary. Manually clicking into each profile and copying fields does not scale past a dozen leads.
n8nsoonMCPsoonRESTsoonMakesoonData enrichment & scoringHubSpot
Notion
OpenAI
Up to 20X Lower cost than Clay enrichmentMine LinkedIn post engagement for intent signals
LiveThe people who like and comment on posts in your niche are already raising their hand, and that intent is spread across dozens of posts and buried in the feed. To work it by hand you first have to find the right posts, then open each one, scroll every reaction, read every comment, and copy profiles. It does not scale, so the warmest signals go to waste and teams keep buying cold lists instead.
n8nsoonMCPsoonRESTsoonMakesoonLead generationBuying / intent signalsGoogle Gemini
Claude (Anthropic)
Google Sheets
73.26% Connection acceptanceResearch Any Company on LinkedIn in One API Call
LiveYou have a company name or LinkedIn URL but no structured intel. Manually reading a company page gives you a paragraph of "About" text, but not structured data you can filter, score, or feed to an AI. You need industry, headcount, specializations, headquarters, and website in a format your pipeline can use.
n8nsoonMCPsoonRESTsoonMakesoonData enrichment & scoringOpenAI
Notion
Google Sheets
<2 sec vs 3–5 min manual company researchScore Linkedin or Sales Navigator leads by ICP and draft outreach
LiveLinkedIn or Sales Navigator search returns hundreds of profiles, and most of them are not a fit. Teams handle this in two expensive ways. Some message everyone, which burns limited sending capacity, hurts reply rate, and trains them to blast more. Others pay to enrich and AI-score every single row in a tool like Clay, spending credits on leads that were never going to qualify. Either way you pay full price for the whole list before you know who is worth it.
n8nsoonMCPsoonRESTsoonMakesoonLead generationData enrichment & scoringOpenAI
Google Gemini
Google Sheets
— Olga, ReivixTurn hiring signals into outbound leads
LiveWhen a company posts a job for a role you sell around, it is telling you it has a new priority, a fresh budget, and a pain. That is one of the strongest buying signals in B2B. The trouble is that job posts are scattered across LinkedIn, most are from recruiting agencies and staffing firms you do not want, and the person who posted is a recruiter, not the decision-maker you need to reach. Working this by hand does not scale, and by the time you get to a post it is often stale.
n8nsoonMCPsoonRESTsoonMakesoonLead generationBuying / intent signalsGoogle Sheets
Claude (Anthropic)
Google Gemini
12X Reply rate, every 3 days vs weekly
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