Online Deep Dive

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

   Map the online presence

   Builds a simple map of where the business appears online before judging any individual channel.

   presence-map.partial

   1

   Find the main public places where [BUSINESS NAME] appears online: website, Google Business Profile, major social accounts, directories, review platforms and other relevant listings.

   2

   Start from [KNOWN LINKS] and expand from there.

   3

   Separate confirmed official profiles from likely or unverified matches.

   4

   Note obvious duplicates, abandoned profiles or conflicting representations.

5. 5

   When someone searches for the business

   Looks at what a person who already knows the business name will encounter.

   branded-search.partial

   1

   Search for [BUSINESS NAME] and common variations of that name.

   2

   Describe the main results a potential customer is likely to encounter.

   3

   Check whether official information is easy to distinguish from directories, reviews or unrelated results.

6. 6

   When someone searches for the service

   Looks at discovery by need rather than by business name.

   service-search.partial

   1

   Search for [MAIN PRODUCTS / SERVICES] using realistic customer language.

   2

   Include relevant local search combinations using [LOCATION].

   3

   Note whether the business appears, what kinds of competitors or directories dominate, and any obvious discovery gap.

7. 7

   What role does the website play?

   Checks whether the website is acting as the useful centre of the online presence without turning this into the dedicated Website Audit.

   website-role.partial

   1

   Assess whether [WEBSITE], if present, clearly supports discovery, understanding, trust and customer action.

   2

   Flag areas that deserve a dedicated Website Audit rather than performing that audit here.

8. 8

   What role does social media play?

   Looks at whether the business's social accounts have useful jobs rather than simply counting posts.

   social-role.partial

   1

   Identify the main social channels and the apparent role of each.

   2

   Look for useful recent activity, abandoned channels, duplication or unclear purpose.

   3

   Recommend a platform-specific audit only where there is a clear reason.

9. 9

   Reviews and public reputation

   Looks for repeated public signals about customer experience without treating reviews as perfect evidence.

   reviews-reputation.partial

   1

   Find relevant public review sources.

   2

   Summarise recurring positive and negative themes without over-weighting isolated reviews.

   3

   Note review recency, obvious response patterns and gaps worth investigating.

   4

   Do not infer the truth of disputed individual claims from reviews alone.

10. 10

    Is the business represented consistently?

    Checks whether customers see the same basic facts and proposition wherever they encounter the business.

    consistency.partial

    1

    Compare names, descriptions, addresses, phone numbers, opening hours, services, links and other important public information.

    2

    Show evidence for material inconsistencies.

11. 11

    Follow the whole customer path

    Connects the separate channels into one realistic journey from need to action.

    customer-path.partial

    1

    Follow one or more realistic customer paths from need → search → discovery → understanding → trust → action.

    2

    Identify where channels support each other and where customers may hit friction or dead ends.

12. 12

    Where are the channels not working together?

    Looks for simple opportunities created by connecting things the business already has.

    missed-connections.partial

    1

    Look for missing links between useful existing assets, such as social profiles not linking to booking, reviews not visible from the website, or listings pointing to outdated pages.

    2

    Prefer connecting existing assets before recommending new ones.

13. 13

    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.

14. 14

    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.

15. 15

    What deserves a deeper review next?

    Stops the Deep Dive becoming endless and points to the most useful specialist prompt.

    handoff.partial

    1

    Identify no more than three areas that genuinely deserve deeper investigation.

    2

    Explain what additional question the deeper review should answer and why it matters.

16. 16

    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.

17. 17

    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.

18. 18

    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.

19. 19

    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 broader than the Online Sanity Check but is still not a substitute for every specialist audit.

    2

    Do not perform deep code, security, accessibility, paid-media or legal analysis.

    3

    Use deeper-audit handoffs instead of expanding indefinitely.

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.