Social Media Audit

1. 1

   Language and tone

   Shared

   Keeps the answer clear, positive and understandable. It prevents the AI from hiding simple ideas behind jargon or presenting useful criticism as a fault-finding exercise.

   language-and-tone.partial

   1

   Write in clear, unambiguous, plain English.

   2

   Assume the reader runs a business and may have no specialist knowledge of marketing, websites, search engines, analytics or social media.

   3

   Do not use jargon when an ordinary word or short phrase will do.

   4

   If a technical or specialist term is genuinely necessary, use the term, explain it immediately in plain English, explain why it matters here, and provide a reliable reference confirming the meaning.

   5

   Keep the framing positive, balanced and constructive.

   6

   Where something is working, say so before describing the issue or risk that remains.

   7

   Do not soften a serious issue so much that it becomes unclear.

   8

   The aim is to eliminate ambiguity and create clarity.

2. 2

   Evidence and certainty

   Shared

   Stops the AI from presenting guesses as facts. It makes the report show what was actually found, what is a reasonable interpretation, and what could not be confirmed.

   evidence-and-certainty.partial

   1

   Use publicly available information you can actually find.

   2

   For important factual claims, provide the source used to confirm them.

   3

   Clearly distinguish between Observed, Inferred and Not verified.

   4

   Never present an inference as a confirmed fact.

   5

   Do not invent missing information.

   6

   Do not imply that you tested, visited, clicked, searched or verified something unless you actually did.

   7

   Do not treat absence from search results as proof that something does not exist.

3. 3

   Source hierarchy

   Shared

   Encourages the AI to use the most reliable explanation available instead of casually relying on marketing blogs or unsupported opinion.

   source-hierarchy.partial

   1

   Prefer references in this order:

   2

   1. Official provider or platform documentation where the subject relates to a specific service or product.

   3

   2. A recognised neutral reference such as Wikipedia for general concepts.

   4

   3. Another authoritative source only when the first two are not suitable.

4. 4

   What social accounts exist?

   Creates a clean inventory of active, inactive and possibly duplicated accounts.

   channel-inventory.partial

   1

   Find the main public social accounts for [BUSINESS NAME], starting from [KNOWN SOCIAL ACCOUNTS].

   2

   Distinguish confirmed official accounts from likely matches.

   3

   Note abandoned, duplicated or confusing accounts.

5. 5

   What job does each channel do?

   Checks whether each account has a useful purpose rather than assuming every business needs every platform.

   channel-role.partial

   1

   For each relevant platform, infer its apparent role from actual content and links.

   2

   Assess whether that role makes sense for the business and audience, given the goal of [SOCIAL GOAL].

   3

   Do not recommend joining another platform without a specific reason.

6. 6

   Profile basics

   Checks whether each profile gives customers the basic information and links they need.

   profile-setup.partial

   1

   Review names, bios, descriptions, contact details, location, opening hours where applicable, profile images, links and calls to action.

   2

   Check consistency with other public business information.

7. 7

   What is being posted?

   Looks at the usefulness and variety of content rather than simply counting posting frequency.

   content-mix.partial

   1

   Identify recurring content types and themes.

   2

   Look for useful customer information, proof of work, personality, offers, community relevance and repeated low-value content.

   3

   Do not equate high posting frequency with quality.

8. 8

   Is the account alive?

   Checks whether the account looks current and maintained without imposing arbitrary posting schedules.

   recency-and-rhythm.partial

   1

   Assess recency and consistency of activity in the context of the platform and business.

   2

   Avoid arbitrary rules such as 'post every day' unless evidence supports that recommendation.

9. 9

   How do people respond?

   Looks at useful signs of audience interest without turning likes and follower counts into the main goal.

   engagement-quality.partial

   1

   Observe visible comments, questions, shares or other interaction where available.

   2

   Look for evidence of genuine customer interest and business responses.

   3

   Do not infer business success from vanity metrics alone.

10. 10

    From social post to customer action

    Checks whether someone interested by a post can actually find out more, contact, visit, book or buy.

    customer-path.partial

    1

    Follow likely paths from content to website, booking, phone, message, location or purchase.

    2

    Identify broken, unclear or unnecessarily difficult handoffs.

11. 11

    Which channels deserve attention?

    Helps decide where to focus rather than spreading effort across every network.

    platform-fit.partial

    1

    Identify which current channels appear most useful, which may need improvement, and which may not justify much effort.

    2

    Base this on observable business fit, not platform fashion.

12. 12

    Finding format

    Shared

    Gives every finding the same useful structure. The reader sees what is already working, what may need attention, the evidence, why it matters and exactly what can be done next.

    positive-finding-format.partial

    1

    Report each finding using these headings, in this order:

    2

    - Finding: A short plain-English description of the issue or opportunity.

    3

    - Status: Shows whether the finding was directly observed, reasonably inferred, or could not be fully verified.

    4

    - What is working: Recognises useful things already in place so the review remains balanced and does not manufacture faults.

    5

    - What may need attention: States the issue clearly and proportionately in plain English.

    6

    - Evidence: Shows the page, profile, search result, listing or other source supporting the finding.

    7

    - Why this matters: Connects the finding to a real customer or business consequence.

    8

    - How to put it right: Provides a practical step-by-step route to improvement rather than vague advice.

    9

    - References for the fix: Provides reliable guidance supporting the recommended process.

    10

    - Effort: Uses Small, Moderate or Larger to give a rough sense of the work involved without inventing precise cost or time estimates.

13. 13

    Recommendation discipline

    Shared

    Prevents the AI from defaulting to rebuilds, subscriptions or fashionable tools when a smaller change would solve the problem.

    recommendation-discipline.partial

    1

    Prefer simple, realistic improvements over large projects.

    2

    Fix or improve what already exists before recommending replacement.

    3

    Do not recommend a paid product, subscription, redesign, rebuild or new platform simply because one exists.

    4

    Keep recommendations proportionate to the business and the evidence found.

    5

    Do not create an exhaustive improvement list when a smaller set of meaningful actions will do.

14. 14

    Where should we go deeper?

    Points to an Instagram, Facebook, LinkedIn, X or other dedicated audit only when useful.

    deep-dive-handoffs.partial

    1

    Recommend platform-specific deeper audits only for channels where there is a meaningful question to answer.

    2

    State that question explicitly.

15. 15

    Action prioritisation

    Shared

    Turns a long analysis into a small number of useful next steps. You should finish knowing what to do first, not merely knowing what is wrong.

    action-prioritisation.partial

    1

    Finish with the three actions most worth considering first.

    2

    For each action include what to do, why it comes before the other findings, the first practical step, and the best supporting reference.

    3

    Prefer small, realistic improvements where they can produce a meaningful result.

16. 16

    Something useful I learned

    Shared

    Adds the quiet educational layer. Instead of delivering a lecture, the prompt explains one useful marketing, customer-experience or technology concept that arose naturally from the work.

    teaching-note.partial

    1

    Briefly explain one marketing, customer-experience or technology concept that arose naturally from this review.

    2

    Explain what it means, why it matters to this particular business, and provide one reliable place to learn more.

    3

    Keep this short and practical.

    4

    Do not turn the report into a lesson.

17. 17

    Research boundaries

    Shared

    Defines what the AI must not do. It keeps a broad review from quietly becoming security testing, legal advice, invasive research or an unrelated technical audit.

    research-boundaries.partial

    1

    Stay within the stated purpose of this prompt.

    2

    If something deserves deeper investigation, identify it, explain why it may matter, and recommend the appropriate deeper review instead of attempting that entire review here.

    3

    Do not perform vulnerability scanning, penetration testing, endpoint probing, login attempts or other security testing.

    4

    Do not submit forms, make bookings, place orders, contact the business or change anything.

    5

    Do not claim legal or regulatory compliance or non-compliance from a broad review.

    6

    Do not guess private information such as revenue, profitability, customer numbers, budgets, internal systems, staffing or business plans.

    7

    Do not infer motives, competence or intentions of owners, staff, agencies or competitors.

18. 18

    Limits of this particular prompt

    The boundaries that apply to this prompt specifically, on top of the general research limits.

    scope-notes.partial

    1

    This is an overall social review, not a full audit of every platform.

    2

    Do not recommend posting volume for its own sake.

    3

    Do not infer customer demographics or business results from follower counts alone.

SharedSections marked shared are the same in every prompt in the library. The rules on tone, evidence, recommendations and limits are deliberately identical wherever you meet them, so you only have to learn them once — and so no prompt can quietly hold itself to a lower standard than the others.