Speak AI Affiliate Program for Transcription and Research Audiences

Transcribe, Translate, Analyze & Share

Speakai

Pricing & Commission

Monthly Price:$25/mo
Annual Plan:$240/year
Enterprise Pricing:Enterprise Available
Commission Rate:30%
Cookie Duration:90 days
Commission Duration:First 12 Months
Commission Type:recurring
Minimum Payout:$50

💡 We may earn a commission if you join. No extra cost to you.

Why Promote Speak AI?

Speak AI fits researchers, podcasters, meeting-heavy teams, agencies, marketers, and qualitative-analysis audiences because its current platform combines automated transcription, NLP analysis, AI Chat, AI agents, and meeting workflows. It supports more than 100 languages. A high-information review can upload or record one controlled conversation, inspect the transcript, ask analysis questions, and compare generated insights with the source audio or notes.

The current Affiliate Program and a March 26, 2026 first-party help article agree on 25% recurring commission for every qualifying referred-customer payment, a 60-day cookie, and commission for the lifetime of the customer's active subscription. The help article says the program applies across Individual, Team, and Enterprise plans, while the live page provides the current Rewardful signup path.

One process detail differs: the live program page says Rewardful signup gives immediate dashboard and link access without waiting for approval, while the help article says access comes once approved. The commercial terms themselves agree. Public payout wording is also limited: Speak says payouts run on a regular schedule after a minimum threshold, but the threshold and payment-method details are visible only inside the affiliate dashboard.

Strong audiences include research teams, podcasters, interviewers, consultants, agencies, meeting-productivity creators, language researchers, and transcription-tool reviewers. Use a known recording and verify names, timestamps, speaker separation, summaries, or extracted insights against the source. That makes the value proposition observable while avoiding claims that automated transcription or analysis will be perfectly accurate across every recording condition.