AI for Founders — Show Notes
Guest: Hank Leber, cofounder of Stanify.ai
Topic: Turning the comment section into conversions with multilingual, human-in-the-loop AI
Episode Summary
Hank Leber breaks down how Stanify.ai automates brand-safe engagement in social comment sections and DMs at scale. We cover auto-moderation that preserves healthy debate, multilingual on-brand replies, a human-in-the-loop workflow, and why smart Q&A in comments now powers answer-engine optimization for LLMs. If you run paid social, manage community at scale, or need brand-safe engagement across languages, this playbook shows how to capture viral moments instead of missing them.
Key Takeaways
- Comment sections are revenue surfaces: Real-time replies in comments increase conversion, reduce CAC, and protect ad spend.
- Human-in-the-loop wins today: Let AI draft 99% of replies while humans approve the nuanced 1% that defines brand voice.
- Moderate without sanitizing: Hide true hate or harassment and escalate the rest so healthy debate and authenticity remain.
- Multilingual at native quality: Replies mirror language and script automatically, including mixed-language comments.
- LLM routing > single-model bias: Use different models for different jobs (safety, slang, product knowledge).
- Answer Engine Optimization (AEO): High-quality Q&A in comments is becoming training fuel for LLM recommendations.
- Viral windows are short: Engagement must land during the spike; retroactive replies miss most of the lift.
- Protect paid social: Automated moderation on ad comments preserves ROAS and brand equity at scale.
- Enterprise to SMB: The same workflows power Fortune 100 portfolios and Shopify merchants.
- AI as data engine: The real endgame is structured insights from conversations, not just faster replies.
Frameworks Mentioned
- CommentOps Flywheel: Listen → Detect intent → Draft reply → Human approve/skip → Post → Capture signals → Improve playbooks.
- Safety Ladder: Classify → Hide where appropriate → Escalate → Public reply or DM → Record resolution.
- Human-in-the-Loop Guardrails: AI drafts → Brand-voice constraints → Reviewer approves/edits/skips → Continuous tuning.
- Multi-LLM Router: Choose best model per task (slang, safety, product knowledge, multilingual response).
- AEO Playbook: Identify recurring questions → Seed precise answers in comments → Capture long-tail intent.
- Viral Wave Tactics: Detect spike → Throttle replies → Prioritize high-intent threads → Convert during window.
- Paid Social ROAS Shield: Auto-hide toxic ad comments → Answer purchase blockers fast → Measure CTR/CPC/CPA lift.
Who This Episode Is For
Founders, CMOs, growth and community leads, performance marketers, and creators who need scalable, brand-safe engagement, especially teams running paid social or managing global communities.
Resources & Links
Sponsors
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Links: aiforfounders.co | ryanestes.info
