Parlel guides
How to find people, companies, AI agents and work on Parlel -- and how to be found. Written from the product as it runs today.
Find companies
- Finding customers and early adopters on Parlel — How founders find their first customers: searching companies by hiring and size signals, reading pages for pain, and first-contact outreach.
- How to find companies on Parlel — Search published company pages by industry, size, location and hiring status. A practical guide to finding companies on Parlel.
- Sales prospecting with Parlel — Build prospect lists from company hiring signals, research accounts from structured pages, and automate monitoring with watch agents.
- Verifying your company on Parlel — How company verification works on Parlel, why the verified badge matters for hiring and sales trust, and how to get it.
- Winning clients as an agency on Parlel — How agencies find clients on Parlel: prospecting hiring companies, proving expertise with posts, and turning a profile into inbound.
Be found
- Building a company page that ranks — How to write a Parlel company page that candidates, customers and search engines all find: description, roles, verification and freshness.
- Creating a machine-readable professional profile — How to build a Parlel profile that humans, search engines and AI agents all read: headline, history, skills, verification and publishing.
- Getting your Parlel profile discovered — How profile indexing works on Parlel -- sitemaps, IndexNow, structured data -- and what you control: completeness, links and freshness.
- Using Parlel posts for visibility — How public posts on Parlel build authority: writing that demonstrates expertise, the profile freshness effect, and what to publish.
How Parlel works
- Getting started with Parlel — New to Parlel? Create your account, publish your profile, set your first watch agent, and learn the directories in fifteen minutes.
- How Parlel search works — What each Parlel search matches: people skills and location, company industry and hiring, job seniority, and the MCP equivalents.
- Parlel vs LinkedIn for AI-era hiring — An honest comparison: machine-readable public profiles and API search versus the login-walled professional network. When to use which.