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As of 13 August 2026, AI can only partly report on your social media data.
This still needs a person who signs their name to it.
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 ita colleague
What the alternative costsA purpose-built alternative is Julius AI, which analyses an uploaded spreadsheet and produces charts and analysis.
If this goes wrong: the report contains a plausible but incorrect trend and your team makes a poor decision before anyone checks the source data.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, power-user skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open each relevant social platform's analytics or account-data export area and download the available data for the reporting period you need.
- Remove unnecessary personal information, direct messages, private comments and account identifiers, then save a clean copy with the original exports kept separately.
- Open the clean files and record the platform, date range, column meanings, campaign context, reporting objective and any known targets in a short text note.
- Upload the clean files and context note to an AI data-analysis tool such as Julius AI, then paste the prompt exactly as written with the bracketed context completed.
- Ask the tool to produce the report, calculation tables and charts, and to identify missing fields or comparisons it cannot make rather than filling them in.
- Compare every reported total, date range, rate and change against the original platform exports, and correct the draft where a platform definition or filter was applied incorrectly.
- Send the checked draft and source files to a colleague who understands the reporting objective, asking them to challenge the interpretations and approve the version before it is circulated.
Prompt
Act as a careful work data analyst. Using only the attached social media export and the context below, produce a decision-ready report for [team or organisation] covering [reporting period]. Do not invent figures, missing dates, platform definitions, campaign names or explanations. State when a field is missing, inconsistent or not comparable across platforms. First describe the files, date ranges, platforms, columns and data-quality issues. Then calculate and report the relevant totals, averages, changes over time and best-performing content using the source fields only. Show the calculation basis for every important figure and distinguish measured results from interpretation. Identify notable trends, outliers and possible explanations, but label explanations as hypotheses unless the data proves them. Include clear tables and charts where useful, a short executive summary, limitations, and practical next actions. Do not claim that social activity caused a business outcome unless the data contains a valid way to establish that. Treat personal information and comments as confidential, exclude unnecessary personal details, and flag any information that should not be shared in a workplace report. Before finalising, list the checks a colleague should make against the original platform exports. Context: [business objective]. Target audience: [readers]. Success measures: [known targets or definitions].
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot retrieve private account data or know which export is complete unless you provide the files and explain their scope.
- AI cannot recover missing campaign context, tracking failures or business targets from the numbers alone.
- AI cannot establish that a change in social performance caused a change in sales, enquiries or reputation without suitable linked evidence.
- AI can calculate a technically correct metric that is unsuitable for your organisation's reporting definitions.
- AI cannot take responsibility for a report that leads to a work decision.
What caps this at PARTLY: private data access, context depth and verification cost.
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.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 1 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 7 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT analyse my social media data?
- Yes, if you export the data and upload a clean, relevant file. It can calculate metrics, find trends and draft a report, but it cannot access private account data or know whether your platform definitions match your organisation's reporting rules.
- Can AI create a social media performance report?
- Partly. AI can produce the tables, charts and written draft from an export, but you need to check every figure against the source and have a colleague test whether the conclusions fit the business context.
- Is it safe to upload social media data to AI?
- Only upload data your organisation permits you to share, after removing unnecessary personal information, messages and identifiers. Check the tool's data-handling terms and use an approved workspace if the export contains information about customers, staff or other individuals.
- What social media data should I give an AI report tool?
- Give it the relevant platform exports, reporting period, metric definitions, campaign context, business objective and known targets. Keep the original files so you can compare the report with the source, and do not provide private data that is not needed for the analysis.
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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