beginner / 25 minutes

ChatGPT Prompts for Social Media Posts: A Reviewable Workflow

Choose one of three ChatGPT prompts for social media posts, then check its source, link and approval owner.

Result: A set of editable social post drafts with a named message, channel format, source reference and approval check for each post.

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7 steps to a reviewable draft

  1. 01

    Pick one message

    Write the one idea the posts should communicate and the action the reader should take. Remove side messages that need a separate brief.

    Result: A single message boundary for the post set.

  2. 02

    Gather the proof

    List the approved product facts, links, visual assets and message owner. Leave out unapproved testimonials or performance claims.

    Result: A source list that an editor can check against each draft.

  3. 03

    Option 1: Announce an event

    Choose this prompt when the approved message is an event. Use only the agenda, event details and destination that the owner has cleared.

    Result: Event drafts that still expose their source and approval dependency.

    Your prompt

    Draft social posts announcing this event using only the approved brief below.
    
    Message and reader action: {{message}}
    Audience context: {{audience}}
    Approved facts and assets: {{sources}}
    Channel rules: {{channels}}
    Required call to action: {{cta}}
    
    Return one draft per channel with the source or asset it depends on and a claim-check field. Mark a missing fact as [NEEDS INPUT]. Do not invent customer quotes, outcomes, metrics, dates or product features.
    Example input

    Illustrative brief: A free live reporting workshop for existing users on 8 October. Approved asset: agenda covering dashboard filters and export. Channels: LinkedIn and X. CTA: registration page. Owner: workshop editor.

    Example output

    LinkedIn: Working on a reporting dashboard? Our free live workshop on 8 October covers filters and export. See the agenda and register on the workshop page. Claim check: agenda plus workshop editor. X: Filters and export are on the agenda for our free live reporting workshop on 8 October. Register on the workshop page. Claim check: agenda plus workshop editor. Both are illustrative drafts, not model results.

  4. 04

    Option 2: Answer an approved question

    Choose this instead of the event prompt when a customer question and approved answer are your source. Keep any condition in the short post.

    Result: A short answer that preserves its source condition and routes the reader to the approved explanation.

    Your prompt

    Write a {{channel}} post answering this approved customer question: {{question}}.
    Approved answer and its limits: {{answer_source}}.
    Audience: {{audience}}. Approved call to action, if any: {{cta}}.
    Preserve each condition in the answer. If it will not fit the channel, give
    a short answer and point to the approved full explanation.
    Return the draft, the condition retained and the source passage to check.
    Do not invent a product feature, date, customer quote or result.
    Example input

    Illustrative source: Question: Who can export CSV? Approved answer: Workspace owners can export CSV. Channel: LinkedIn. Audience: existing users. CTA: export guide.

    Example output

    Draft: Workspace owners can export CSV. See the export guide for steps. Check: the post keeps the owner condition; review the guide link before publishing. Illustrative copy, not a model result.

  5. 05

    Option 3: Adapt a published update

    Choose this when one approved update needs versions for two channels. The facts stay the same; the opening and length can change.

    Result: Two channel-specific versions of the same supported update.

    Your prompt

    Create one {{channel_a}} and one {{channel_b}} post from this approved update:
    {{update_source}}
    Reader action and approved destination: {{cta}}.
    Channel constraints: {{channel_rules}}.
    Keep the same factual claim in both versions. Change the opening and length
    for the channel. Return each draft with its source phrase and any missing input.
    Do not add a metric, launch date or customer quote absent from the update.
    Example input

    Illustrative approved update: A reporting guide has been published. Channels: LinkedIn and X. CTA: reporting guide. No performance evidence is supplied.

    Example output

    LinkedIn: The reporting guide is available. Read it for the documented steps. X: New reporting guide available. Read the guide. Both require a link check; neither claims the guide saves time. Illustrative copy, not a model result.

  6. 06

    Review the claim and channel fit

    Check every factual phrase against the source list, then confirm the format, link and disclosure work for the intended channel.

    Result: A smaller post set that can move to publishing without hidden claim gaps.

  7. 07

    Save the approved drafts

    Store the final copy with its asset, source and approval owner so later edits do not lose the original boundary.

    Result: A handoff-ready set of posts rather than isolated snippets of copy.

What a finished draft should contain

One chosen post set with its approved message, source reference, claim check, working call to action and named approval owner. The three prompt options are alternatives, not three mandatory publishing steps.

What this process cannot decide

  • The workflow cannot predict reach, reactions or conversion.
  • Channel policy and asset permissions can change before publication.

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Analytics

Analytics helps us understand which guides and WexAI app links are useful. It never includes prompt text or tool input.