Enrich HubSpot contacts with Apollo, LinkedIn, and GPT-4o data

Takes a name and email, researches the person on Apollo and LinkedIn, and updates their HubSpot record with a clean summary.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig(("name and email provided")):::human s0["look up contact record"]:::task s1["ai writes summary"]:::svc s2[("save enriched contact")]:::store trig --> s0 s1 --> s2 gx{"+ which sources to check"}:::gate s0 --> gx p00["pull job details"]:::task gx -->|"apollo details"| p00 p10["pull recent activity"]:::task gx -->|"linkedin activity"| p10 jn{"+ combine research"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"hubspot contact enriched with summary"/]:::out pay{{"reps get ready contact context instantly"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceA personA record or sheetEvery pathWaits for allResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
CRM & Sales PipelineSurvey & Feedback
Connects
Apollo.ioLinkedInOpenAIHubSpot

The problem it solves

Before reaching out to a new contact, your team spends time manually looking up their job title, company, and recent activity across different tools. That research rarely makes it back into HubSpot in a usable form, so the next person has to redo it. Records stay thin and outreach stays generic.

Who it fits

Sales development reps and revenue operations teams who want every HubSpot contact enriched automatically.

How it works

  1. Starts with just a name and email address
  2. Matches the person in Apollo to pull their job details
  3. Pulls their recent LinkedIn activity
  4. AI reviews everything and writes a clean summary of who they are and what they're doing
  5. The enriched details are saved into their HubSpot contact record
What you get

Contact profiles filled in before you dial

Every new contact gets a clean summary of their role and recent activity pulled from Apollo and LinkedIn, saved right on their record.

What you get

An enriched HubSpot contact record with verified job details and a summary of recent activity.

What you need

An Apollo.io API key, a RapidAPI key for LinkedIn data, an OpenAI API key, and a HubSpot account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Scrape LinkedIn leads and approve cold emails from Sheets

Finds LinkedIn leads, drafts personalized cold emails with AI, and only sends after you approve them in Google Sheets.

Advanced

Score and route new leads automatically with AI and LinkedIn data

AI researches, scores, and routes every new lead so your sales team focuses only on the hottest prospects.

Advanced

Automatically find leads, enrich them, and send personalized outreach

Finds new sales prospects, checks their contact info, and sends them a personalized email and LinkedIn request.

Advanced

Enrich new CRM contacts with LinkedIn profile summaries automatically

New CRM contacts are automatically matched to their LinkedIn profile and enriched with a professional summary.

Advanced
Back to the AI Playbook