A sourcing agent that runs on data your stack can't reach.
Custom GPT agents do keyword overlap on public data. The Glozo Sourcing Agent runs on three proprietary data layers: Skill Graph, Market Value, and Open-to-Offers. It surfaces candidates a GPT wrapper can't.
No card. No demo call. 2 minutes to first run.
Where DIY agents break.
Custom GPT agents speed up the wrong work. They guess at signal that doesn't exist in public data.
Keyword overlap, not skill match.
GPT agents read what's written on a profile. Embedding match, keyword overlap. They can't tell one mention of a tech from five years of using it. They guess at depth.
Salary fit is a guess.
Custom agents have no compensation data. They guess at whether a candidate fits your budget. Wrong guesses burn outreach credits and time.
Reply rate is hope.
DIY agents can read LinkedIn's "Open to Work" badge and not much else. The behavioral signal that surfaces passive but receptive candidates is invisible to public-API agents.
Glozo's sourcing agent runs on the signals your DIY agent can't.
Three signals under every match.
Three proprietary signals shape every match. None come from public APIs. None can be replicated by a GPT wrapper. We surface. You decide.
Skill Graph
A weighted model of candidate skills. The engine reads public sources (LinkedIn, GitHub, and 30+ more) and builds the graph with tenure, project complexity, contribution depth, and company context.
Mention from mastery. Same title, different work, different match.
Market Value
A per-candidate salary estimate. Built by a statistical model trained on 10M+ market signals each month, factoring seniority, location, skills, and company profile.
Match outbound to budget before clicking "reveal contact."
Open-to-Offers
A behavioral receptiveness signal per candidate. Built from passive patterns across multiple sources. Different from LinkedIn's "Open to Work" because the candidate doesn't have to raise their hand.
Outreach goes to people most likely to respond.
Launch an agent in two minutes.
It's as simple as this.
Pick a sample role to demo with.
Three roles, pre-loaded with anonymized candidates.
Sign up and run the agent on your real description.
Let's calibrate
Tell me who you are looking for — paste a job description, describe the role, or pick from past projects.
- I will extract all relevant criteria from your description
- You will preview sample profiles before launch
- You set the daily delivery cadence and approval rules
Sourcing in progress
Agent is searching for more candidates — next batch arrives in ~45 min.
Today's batch · 25 new
Sort: Market Value ▾Today's batch · 25 new
Sort: Market Value ▾Custom GPT agent vs. Glozo's sourcing agent.
Five things a DIY GPT agent can't do. All five are how Glozo Agent earns its match.
Glozo is a sourcing layer. Hiring decisions stay with you.
Free to start.
Common questions.
What is a sourcing agent?
A sourcing agent is software that runs multi-step sourcing tasks on its own. Given a role, it finds target profiles, surfaces likely fits, and prepares a shortlist. Most agents on the market combine LLMs with public profile data and matching models.
Glozo's sourcing agent is a specific kind of this. It runs only the sourcing layer (not screening, scheduling, or auto-messaging), and the depth comes from proprietary data layers: Skill Graph, Market Value, Open-to-Offers. We don't rely on a smarter LLM prompt. The moat is the data.
Is this just a wrapper around GPT?
No. The agent runs on three proprietary data layers. Skill Graph weighs each candidate's history across 30+ public sources. Market Value prices each candidate from 10M+ market signals each month. Open-to-Offers reads behavioral patterns that suggest receptiveness.
A GPT prompt can't reproduce this. The data isn't in public APIs.
Why not build my own sourcing agent in Claude or Cursor?
You probably could, for the simple case. Claude or Cursor can write a Boolean query, hit LinkedIn or GitHub, and return a list of profiles. What's hard to reproduce is the data layer underneath.
Skill Graph requires reading 30+ sources and building weighted skill representations per candidate. That's a data engineering task, not a prompt task. Market Value requires a continuously updated compensation model trained on millions of market signals. Open-to-Offers requires behavioral pattern detection across multiple sources over time.
You can build one of these yourself in a month of focused work. We've spent years on all three. Buy the data layer, build everything else.
When should I use the agent vs fast search?
Use fast search when the brief is clear: senior backend in NYC, 7+ years, Go or Rust. The pre-indexed state returns matches in seconds.
Use the agent when the brief is fuzzy, the role is hard to source, or the obvious candidates aren't enough. The agent takes a deeper pass. It re-processes data from sources, re-weights matches against your criteria, and digs into corners a fast scan can't reach. Think of it as fast scan vs deep dive.
How long until I see results?
Minutes to hours. Simpler roles return shortlists in under an hour. Harder roles (cross-domain seniority, narrow technical niches) can take longer. The agent works in the background, so you don't sit and wait. We notify you when the run is done.
Can I see what the agent did?
Yes. Every candidate on the shortlist arrives with three visible signals: a matching summary built from the Skill Graph, a Market Value estimate, and the Open-to-Offers flag where present. You can expand any of them to see the underlying data.
The agent prepares the shortlist; you decide who to contact. Hiring decisions stay with you.
Is the agent in beta, and does it cost extra?
Yes, the agent is in beta. It's included on every Glozo plan, free tier included, at no extra cost. There's no separate paid tier planned for it.
Beta here means we're still refining edge cases, not that the product gets paywalled later. Today and after: searches, calibration, shortlists, all free.
Can my own agents (Claude, Cursor) call Glozo's sourcing agent?
Yes, today. Glozo runs in browser-based AI tools (Claude, Cursor, Cowork via the Chrome integration). Grant the tab access and your agent can call the Glozo sourcing agent through the UI as part of its own flow.
A dedicated MCP server, exposing Glozo's sourcing agent as a native tool any agent can call directly, ships next.
Launch your first agent.
Two minutes. Free to start. Included on every plan.