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Community Management Response Guide

Turn comments and DMs into on-brand, ready-to-send responses fast.

What is the Community Management Response Guide?

The Community Management Response Guide is a free AI skill that gives food and beverage community managers ready-to-send response language for the comments and DMs that show up every day. You give it your brand voice, the situation — praise, a complaint, a troll, a repeated question, a sensitive comment — and any facts you can share; it returns a response framework for that situation, 2-3 draft replies in your brand voice, an escalation flag if the comment needs a human specialist or legal eyes, and the tone traps to avoid. It is built for community and social media managers who are the brand's actual voice in the replies, often under time pressure, and who need consistency without sounding like a script. Because every response is scoped to a real comment type rather than generic advice, it holds up in the fast-moving reality of a comments section. Anchoring tone choices in what food and beverage communities actually respond well to keeps replies from reading as corporate or evasive.

Who it's for

  • Community managers handling comments and DMs day to day
  • Social media managers without a dedicated community team
  • Customer care teams that also cover social channels
  • Founders responding to their own brand's comments

What you get

  • A response framework tailored to the comment type
  • 2-3 draft replies in your brand voice
  • An escalation flag for when a human specialist or legal should step in
  • Tone traps and phrases to avoid for this situation
  • A short library of go-to responses for recurring questions
  • Guidance on when not to respond publicly

How to use it

  1. 1Paste the prompt into ChatGPT, Claude or Gemini.
  2. 2Fill in the brackets (brand voice, the comment or DM, situation type, known facts).
  3. 3Answer its clarifying questions if the situation is sensitive or unclear.
  4. 4Ask it to draft a private-DM version alongside the public reply.

See it in action

Example input

Brand: fictional 'Farrow Kombucha', voice is warm, a little wry, never defensive. Situation: a comment on our latest Reel says 'this gave me the worst bloating of my life, never again' and has 40 likes. We know our ginger-turmeric flavor is higher in ginger than our other flavors, which can affect sensitive stomachs. We want to respond publicly without sounding dismissive or making a health claim we can't back up.

Example output

Response guide — Farrow Kombucha, bloating complaint (40 likes, public comment)

Situation read
This is a public complaint with real visibility — 40 likes means other people are watching how you respond, not just the original commenter. It's also a genuine physical reaction, not just an insult, so the response needs to validate the experience before anything else. The instinct to explain or defend the product first is the wrong order here.

Response framework for this situation
1. Acknowledge the discomfort first, specifically — not a generic "sorry to hear that."
2. Offer a real, honest possible reason if you have one — you do, the higher ginger content — without turning it into a liability-flavored disclaimer.
3. Move the resolution to DM. Public replies should show care; the actual troubleshooting, like a refund or flavor swap, belongs in private.
4. Never argue the point publicly, even gently. Other readers are grading your tone, not just your facts.

Draft reply — option 1 (warm, direct)
"Oh no, that's the opposite of what we want kombucha to feel like! Our ginger-turmeric is our spiciest, ginger-forward brew, and that can hit differently for sensitive stomachs. Sending you a DM — we'd love to make this right."

Draft reply — option 2 (shorter, still warm)
"That's not the reaction we're going for, I'm sorry. Ginger-turmeric runs hotter on ginger than our other flavors, which isn't for everyone. DMing you now."

Draft reply — option 3 (adds a public next step)
"Really sorry to hear it — that flavor is our most ginger-forward, and stomachs react differently to it. Sliding into your DMs so we can sort you out. If a milder flavor sounds better next time, our original is a good place to start."

Tone traps to avoid
- Don't say "everyone reacts differently" as a stand-alone line — it reads as deflection unless paired with a specific, honest reason.
- Don't offer a discount code publicly as the first move; it can read as trying to buy silence rather than address the comment.
- Don't go quiet. An unanswered visible complaint with 40 likes reads worse over time than an imperfect timely reply.
- Avoid any language implying the product is medicinal or reframes bloating as a "detox" — that's both dismissive and a claims risk.

DM follow-up draft
"Hey! So sorry about that — wanted to make it right. Want me to send a replacement in a milder flavor, or would a refund be easier? Also curious which store or size this was so we can flag it if there's a batch issue."

Escalation flag
Low legal risk, moderate care-team follow-through needed. No escalation to legal for this draft language — it makes no health claims and stays descriptive, "higher ginger content," rather than causal. Escalate to a supervisor only if the commenter reports a severe reaction, not just bloating, or if this becomes a pattern across multiple comments on the same batch, which would be a quality signal worth investigating.

Want me to build a short library of go-to responses for the other recurring complaint types you're getting on this flavor?

The prompt

Here's the start of the prompt. Download the free bundle for the full, ready-to-paste version — plus the installable Claude Skill and Custom-GPT instructions.

# Role
You are a community management lead for food & beverage brands who writes the actual replies that go out under the brand's name. You know the difference between a comment that needs empathy, one that needs facts, and one that needs to be ignored entirely.

# Context I'll provide
- Brand voice: [VOICE — how the brand normally sounds]
- The comment or DM (paste it): [COMMENT / DM]
- Situation type: [TYPE e.g. praise, complaint, trolling, recurring question, sensitive topic]
- Known facts I can share: [FACTS — what's true and confirmed, e.g. ingredient info, policy, timeline]
- Anything off-limits (optional): [CONSTRAINTS e.g. no health claims, no discount codes publicly]

# Your task
1. If the comment, situation type, or brand voice are missing or vague, ask up to 3 clarifying questions BEFORE writing anything.

Frequently asked questions

What is community management response guidance?
It's structured guidance, not just a single reply, for how a brand should respond to a specific comment or DM: reading what the commenter actually needs, choosing a tone approach, and drafting ready-to-send options in the brand's voice. This skill produces that guidance per situation, covering praise, complaints, trolling, and recurring questions, along with an escalation flag for anything that needs a human specialist or legal before it goes out.
How is this different from the Fan Community Engagement Plan skill?
The Fan Community Engagement Plan is proactive: it plans how to build and grow an engaged community over time through content, initiatives, and recognition programs. This skill is strictly reactive: it drafts the response to a specific comment or DM that already exists, in the moment it needs answering. Use the engagement plan to build the community; use this skill every day to handle what shows up in the comments while you do.
Which AI models can run this prompt?
Any capable chat model — ChatGPT, Claude, or Google Gemini. It's model-agnostic, so paste it into a chat for a one-off reply, or save it as a Custom GPT or team skill so every community manager on the team responds from the same tone framework, even on a shift no one else is reviewing in real time.
Will it write responses I can post without review?
Treat every draft as a strong starting point that still needs a human read before posting, especially for anything touching health, safety, or a legal gray area — the prompt is built to flag those explicitly rather than resolve them for you. It will not invent facts about your product or policies to fill a gap; it marks what's missing so you confirm it before the reply goes out.

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