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YES

As of 13 August 2026, AI can compare your social media engagement with competitors.

Most people should hand this to a purpose-built tool.

Can you do it?

15 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0

Skill neededpower-user

Who has to check ityou

What the alternative costsThe alternative is manual spreadsheet analysis by you or a colleague; no price is stated in the supplied tool data.

If this goes wrong: you treat incomparable public figures as a meaningful gap and allocate time or budget to the wrong social strategy.

What to actually do

  1. Use a tool built for this

    The route this page recommends

  2. Hand it to a person

    Second choice

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  3. Do it yourself

    The distant third

    A chat interface, power-user skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open the native analytics export for each platform used by your business and download the same completed comparison period for posts, interactions, reach or impressions, followers and posting frequency where available.
    2. Make a list of the competitor accounts you are comparing and record the account URL, platform, account type and comparison period; collect only public figures and label every unavailable metric as unavailable.
    3. Put the business and competitor figures into one spreadsheet with separate columns for platform, account, post date, content type, reach or impressions, followers, likes, comments, shares, saves, views and link clicks.
    4. Remove posts and periods that do not match across accounts, or mark them as non-comparable, and keep paid and organic posts in separate rows.
    5. Paste the cleaned table and the copyable prompt into an AI data tool such as Julius, then ask it to calculate the labelled rates and produce the comparison table, charts and observations.
    6. Open the source posts and exports again and compare each important conclusion with the original period, metric, denominator and arithmetic; correct the spreadsheet and rerun the analysis where any source or formula does not match.
    7. Send the verified table and three evidence-based observations to the person responsible for your social strategy, with the non-comparable measures and proposed tests clearly marked.

    Prompt

    Compare the social media engagement of my business with the competitors in the data below.
    
    Business: [YOUR BUSINESS NAME]
    Competitors: [COMPETITOR NAMES]
    Platforms: [PLATFORMS]
    Comparison period: [START DATE] to [END DATE]
    Business data:
    [PASTE YOUR EXPORT OR TABLE]
    Competitor data:
    [PASTE PUBLICLY COLLECTED FIGURES OR EXPORTS]
    
    Use only the figures supplied here. Do not fill gaps with estimates or invented data. First list missing fields, inconsistent periods, different account types and any figures that are not directly comparable. Keep organic and paid activity separate if the data allows it.
    
    Calculate and show the formulas for any engagement rates you use. State the denominator for each rate, such as followers, reach, impressions or views, and do not compare rates with different denominators without clearly labelling the difference. Compare total interactions, interaction rate, posting frequency and performance by content type where the data supports it. Mark every unavailable measure as unavailable.
    
    Return:
    1. A clean comparison table with the original figures and calculated measures.
    2. A short explanation of the reliable differences and the comparisons that should not be made.
    3. Three evidence-based observations, each linked to specific figures.
    4. Three practical tests my business could run next, without claiming that competitor performance proves the tests will work.
    5. A verification checklist showing the source, period, denominator and calculation for every important conclusion.
    
    Use plain British English. Separate facts, calculations and interpretations. Do not claim to know competitor reach, conversions, audience quality or revenue unless those figures are supplied.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI cannot obtain private competitor reach, impressions, audience quality or conversion data that the competitor has not disclosed.
  • AI cannot make different platform metrics genuinely equivalent when one account reports reach and another reports followers or views.
  • AI cannot tell from engagement alone whether an account's audience is commercially valuable or whether the activity supports revenue.
  • AI cannot choose the right strategic response without your knowledge of positioning, resources, customers and business priorities.
  • AI can calculate a polished rate from incomplete or mismatched exports, so the source period and denominator still need human checking.

Even on a YES, the friction has a name: private data access, context depth and judgement under ambiguity.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs1
Verification1
Liability2
Effort delta2
Total8 / 10

FAQ

Can AI compare my social media engagement with competitors?
Yes, if you provide a consistent dataset. AI can calculate labelled engagement rates, compare posting patterns and summarise differences, but it cannot access competitors' private analytics or make incompatible platform metrics equivalent.
What data do I need to compare social media engagement?
Gather the platform, account, comparison period, post count, followers, reach or impressions, views and interactions such as likes, comments, shares and saves. Keep organic and paid activity separate, and record the source and denominator for every figure.
Can AI see how much engagement my competitors get?
It can analyse public figures such as visible reactions, comments, views and posting frequency when you collect them. It cannot reliably see private reach, impressions, audience demographics, link clicks, conversions or revenue unless the competitor publishes or supplies them.
How do I know if an AI social media comparison is accurate?
Check every conclusion against the original platform export or public post, the comparison period and the formula used. Reject conclusions that mix denominators, paid and organic activity, different account types or periods that do not match.

Nearby answers

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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