Visibility
The Right Partner Stays Invisible
A reseller who covers manufacturing in DACH is sitting in your programme right now. Your AE has no way to find them, so the deal goes direct or goes nowhere.
Every partner in your ecosystem gets a structured profile: what they do, who they serve, and where they operate. Search the marketplace, save the results as prospect lists, and reach the named contacts at each organisation, all from the partner records that already drive fit scoring and account mapping.
Most partner programmes have more partners than anyone can name. The right one for the deal in front of you is already in the ecosystem. Nothing makes them findable.
A reseller who covers manufacturing in DACH is sitting in your programme right now. Your AE has no way to find them, so the deal goes direct or goes nowhere.
One spreadsheet, maintained by one person, last touched two quarters ago. Regions, capabilities, and contacts have moved on. Nobody trusts it, so nobody updates it.
You know the partner company. You do not know who runs alliances there, who to brief on a new product, or who to call when a live deal needs cover this week.
Filter the partner marketplace by industry, region, business model, and fit. Save the result as a prospect list, then open a profile to reach the people behind it.
Structured profiles, real search, saved lists, and named contacts. Four moves from a partner list nobody opens to a directory the whole revenue team uses.
Every partner in the marketplace carries a profile with the detail that makes them findable: the industries they sell into, the regions they cover, their size, and their business model. These are fields, not notes, so filters return real answers.
Search the directory the way your team thinks about a deal. Narrow by industry, region, and model, then rank what comes back by fit score so the strongest options sit at the top rather than the ones somebody happens to remember.
Curate target lists of partners or accounts once and work through them, rather than re-running the same search every week. A list is a shared object, so the person picking it up next quarter sees exactly what you selected.
Each partner organisation holds its own contact list, so outreach has somewhere to land. When a campaign goes out, a product launches, or a deal needs cover, you already know who to reach and what their role is.
Most partner directory software is a second copy of your partner list that starts drifting the day it is built. Airstride lists the live record, so the profile your team searches is the record the platform runs on.
The profile in the directory is the same partner record fit scoring and account mapping read. Update it once and every surface moves with it.
Industry, geography, size, model, and capability sit on the profile as structured fields, so a filter returns a real shortlist rather than a keyword guess.
AI Partner Discovery scores net-new partners on fit before they land here, so the directory gets longer without getting noisier.
Every partner organisation carries its own contact list, so a campaign, a deal, or a product brief always has a named person to reach.
The directory is the record every other part of the platform reads. Partners arrive from discovery, get onboarded, then get mapped to the accounts you both touch.
The questions channel leaders ask when they compare partner directory software. Something else on your mind?
Talk to SalesThat is exactly what it is built for. An AE working a manufacturing account in Germany filters the directory by industry, region, and business model, sees who covers it, checks the fit score, and opens the profile to find the right contact. No asking around in Slack for who covers DACH.
See how structured partner profiles, saved prospect lists, and contact lists turn a static partner spreadsheet into a directory your whole revenue team works from.