THE SHORT ANSWER
Use AI to prepare and organise social-media work, while keeping real experience, truthful representation and accountable responses at its centre. Assistance with a draft is different from inventing customers, manufacturing engagement or pretending an automated reply reflects personal attention.
Listen for problems before looking for post ideas
Questions, objections and recurring confusion can be more useful than a list of trending topics. AI can help group material the team is permitted to analyse, but someone should inspect the underlying posts and the conversations around them. A summary can lose sarcasm, context or a minority concern.
For a hypothetical outdoor-equipment brand, repeated questions about repairability might justify a demonstration by a real technician. Turning every question into a promotional caption misses the product and service intelligence in the conversation.
Use the audience research workflow to keep observations distinct from generated interpretations. Public conversation is a source of questions, not a representative survey of every customer.
Adapt genuine material; do not simulate the experience
Start with something the organisation knows: a documented process, a verified answer or a real contributor's approved explanation. AI can suggest a shorter script, alternative opening or accessible description. Check that the adaptation preserves the original person's meaning and any limits on the claim.
In the repair example, show what can actually be fixed and which damage requires replacement. Do not create a fictional repair success or a customer testimonial to make the post more engaging. A useful piece can acknowledge a limitation without losing its purpose.
Define a response boundary
| Situation | Possible AI assistance | Human responsibility |
|---|---|---|
| Routine factual question | Draft from an approved knowledge source | Confirm the answer still applies |
| Complaint or disputed promise | Summarise the issue and missing facts | Decide remedy, tone and next step |
| Safety concern or sensitive personal disclosure | Flag for the designated team | Handle through an appropriate private process |
| Unclear joke, sarcasm or conflict | Offer possible interpretations | Read context before responding |
Fast replies are not the same as resolved issues. Automation that repeats an irrelevant answer can make a customer work harder. Review correction rates, unresolved conversations and escalation quality alongside response time.
Evidence & context: NIST
Do not confuse manufactured activity with a community
The U.S. FTC's consumer-review guidance addresses fake testimonials and certain fake indicators of social influence. It is a jurisdiction-specific legal source; obtain specialist guidance where obligations apply. The broader editorial principle is straightforward: do not represent invented experiences or artificial activity as genuine customer participation.
A calendar full of interchangeable posts can satisfy an output target while teaching the audience nothing. Choose a smaller set of useful conversations and maintain the ability to respond when a real person challenges the brand. That is a more demanding standard than sounding ‘human’ in a prompt.
Evidence & context: U.S. Federal Trade Commission
Sources & further reading
- The Consumer Reviews and Testimonials Rule: questions and answers
U.S. Federal Trade Commission. Official U.S. guidance on fake reviews and indicators of influence, checked 11 September 2026. Seek specialist advice on applicable obligations.
- Generative Artificial Intelligence Profile (NIST AI 600-1)
NIST. Risk-management guidance, including confabulation. It does not establish a universal error rate.
Examples and exercises are illustrative unless attributed to a source. No independent expert review is claimed.
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