💬Social ToolkitAI
VIEN
← Back to home

AI Reply Comment Suggester — 5 replies / 5 tones / 5 intents

Customer comment on FB/IG/TikTok → AI suggests 5 replies by tone (friendly, professional, empathetic, firm, playful) × intent (thank, apologize, explain, redirect, close deal). Saves Fanpage CS time.

5 replies5 tones × 5 intentsFanpage CSVietnamese

Tone

Reply intent

Why use this tool

⚡
Scale customer service

Fanpage shops get 100+ comments/day. AI suggests replies in 2 seconds — staff just picks + posts.

🎯
Tone × Intent matrix

25 combos (5 tones × 5 intents) cover most situations: from joyful thanks to empathetic apology when customers complain.

🇻🇳
VN culture

AI uses 'em', 'shop', 'mình' appropriately for VN Fanpages. No stilted 'Dear customer' formality.

How to use

  1. 1Paste the customer's comment (e.g. 'Do you have XL size?').
  2. 2(Optional) Add post context for AI to understand the situation.
  3. 3Pick tone: Friendly (default), Professional, Empathetic, Firm, Playful.
  4. 4Pick intent: Thank, Apologize, Explain, Redirect, Close deal.
  5. 5Generate → 5 short replies (≤200 chars), copy a favorite, paste to FB.

Smart auto-customer service

Medium-sized VN Fanpages get 50-200 comments/day. Slow reply = lost customers, wrong tone = brand damage. AI suggests 5 replies × tone × intent so staff can scale 10x while keeping quality.

5 tones cover contexts: Friendly (small chill shop), Professional (B2B brand), Empathetic (complaints), Firm (clarify policy), Playful (young Gen Z brand).

5 intents map to actions: Thank (praise comments), Apologize (errors), Explain (info questions), Redirect (channel switching), Close deal (interested → invite DM).

  • ✓5 reply variations per gen
  • ✓5 tones × 5 intents = 25 combos
  • ✓Each reply ≤200 chars
  • ✓Uses 'em', 'shop', 'mình' for VN culture
  • ✓Reads post context if provided
  • ✓JSON output, single parse
  • ✓Rate limit 20/hour/IP
  • ✓Doesn't promise things shops can't deliver

Use cases

Online shop

Comment asks size/color/price → friendly + explain → natural reply.

Complaint handling

Customer complains slow delivery → empathetic + apologize → de-escalate.

Close deal fast

Customer 'send me the link please' → friendly + close deal → invite DM.

Redirect support

Customer asks FB tech support → redirect to hotline / FAQ link.

Engage praise

Comment praises product → playful + thank → encourage sharing.

Crisis handling

Brand hit by viral bad review → firm + explain policy → control narrative.

Tech

Backend /api/ai/reply POST {comment, context?, tone, intent}. Validate comment ≤800 chars, context ≤500.

Non-streaming (5 short replies ≈ 800 tokens total). Temp 0.7. JSON array output, parser strips [ ... ].

Prompt emphasizes 'don't promise things shop can't deliver' to prevent AI offering policies that don't exist.

FAQ

Does AI understand shop business context?

AI knows general VN CS culture. But specific policies (price, ship, returns), you must edit replies before posting. Never trust 100%.

Works for B2B?

Yes. Pick 'professional' tone + matching intent. B2B replies often need technical info — AI just suggests structure.

Reply that fits thank + explain simultaneously?

Pick the main intent (e.g. thank), AI adds explanation if needed. Or run 2 generations with different intents.

Use for TikTok comments?

Yes. TikTok comments tend shorter than FB. AI replies ≤200 chars fit both.