A partnerships target list is useful only when every name has a plausible value exchange and a credible route in.
AI can research organizations, audiences, programs, and public contacts to prepare that list. It cannot create a relationship or prove interest, so the work should separate what is observed from the partnership hypothesis you want to test.
Write the exchange before you write the target criteria.
A partnership is not a shared audience alone.
It needs a specific offer from each side, a buyer or user who benefits, a distribution path, and an initial experiment that could prove the idea.
Use Strawberry to turn a loose channel idea into a screening brief: what the partner contributes, what you contribute, the desired action, and the signals that disqualify a target. That gives research a commercial standard instead of a popularity contest.
Test audience overlap against public evidence.
A company can look adjacent and still have a different customer, price point, geography, or buying motion. Review the product positioning, customer stories, content, events, marketplace presence, and partner pages that show whether the audience overlap is real.
An agent can collect and cite the relevant public evidence for each candidate. Score the hypothesis cautiously and keep unknowns visible, particularly when the true audience or commercial model is not public.
Rank the available route, not only the brand name.
A large company with no active partner path, owner, or relevant moment may be less actionable than a smaller organization launching a cohort, marketplace, affiliate program, or event. Put the possible route beside the target so the next person understands how the hypothesis could become a conversation.
Strawberry can research public program pages, named team members, application routes, and timely triggers. Treat a route as a lead to verify, not consent to contact or an assumption that a programme is accepting new partners.
Keep the list focused as the market changes.
A durable partnerships list is a living hypothesis set, not a spreadsheet that grows forever.
Save the screening rule, evidence standard, ranking fields, and exclusion logic as a partner-scouting skill.
A monthly routine can look for new programmes, launches, cohorts, or distribution signals and return only candidates that meet the existing bar. Review the commercial premise again before any outreach begins.
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Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents