What the Report of AI-like caption patterns and editorial residue prompt does

Act as a forensic style editor for the fixed German market, detecting textual patterns without claiming reliable authorship attribution.

The prompt will, at minimum:

  • State clearly that textual cues cannot prove AI authorship and that the task identifies editorial patterns, not the hidden origin of a text
  • Build a corpus-specific baseline from approved human examples, known production practices, mandatory disclosures and brand conventions before flagging anomalies
  • Score repeated phrases, syntactic uniformity, generic transitions, tonal flatness, emoji templates, CTA repetition and over-structured endings separately
  • Use matched examples and false-positive controls; protect necessary legal, product and campaign boilerplate
  • Provide rewrite priorities and a human-review queue rather than automatic deletion or accusations against writers

Who it is for

Gökhan Güzel's e-commerce prompt for ChatGPT users: marketers, founders, agencies and consultants who need an auditable, evidence-based deliverable instead of generic advice.

What you get

  • Corpus and baseline integrity report
  • Pattern dictionary with evidence examples
  • Caption-level indicator scorecard
  • False-positive and review queue
  • Downloadable findings file and rewrite brief

Variables

PlaceholderPurpose
{{analysis_period}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{approved_human_examples}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{brand_voice}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{caption_dataset}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{decision_thresholds}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{disclosure_boilerplate}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{emoji_policy}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{known_ai_examples}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{output_detail}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{pattern_dictionary}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{platforms}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{target_market}}Target market

How to use

Copy the prompt with the button above, replace every {{placeholder}} with your verified data, and paste it as the first message in a new ChatGPT conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.

Run Report of AI-like caption patterns and editorial residue in ChatGPT

Open a new ChatGPT chat, paste the filled-in Report of AI-like caption patterns and editorial residue prompt and answer the short question gate. ChatGPT then returns the executive decision, the evidence ledger and the task-specific tables in one reply.

Source

Original file in the multilingual prompt library on GitHub: