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

1. CommentOps Flywheel: Listen → Detect intent → Draft reply → Human approve/skip → Post → Capture signals → Improve playbooks.
2. Safety Ladder: Classify → Hide where appropriate → Escalate → Public reply or DM → Record resolution.
3. Human-in-the-Loop Guardrails: AI drafts → Brand-voice constraints → Reviewer approves/edits/skips → Continuous tuning.
4. Multi-LLM Router: Choose best model per task (slang, safety, product knowledge, multilingual response).
5. AEO Playbook: Identify recurring questions → Seed precise answers in comments → Capture long-tail intent.
6. Viral Wave Tactics: Detect spike → Throttle replies → Prioritize high-intent threads → Convert during window.
7. 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

• Stanify.ai (book a demo): https://stanify.ai/
• Hank on X: https://x.com/HankLeber

Sponsors
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Links: aiforfounders.co | ryanestes.info