Marketing
LLM Prompts
Intermediate
Seasonal Ad Visual Analysis
Examine an ad’s visual elements for a seasonal campaign to understand what design choices drive engagement.
Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6Balanced strategy + copy
Brevity Mode
Concise
Difficulty
Intermediate
Automation
Needs user context
Use This When
Campaign planning, content calendars, ad creative, copy tests, hooks, CTAs.
Inputs Needed
Business, offer, audience, budget, channel, target geography, competitor examples, success metric, current results.
Expected Output
Campaign plan with strategy, audience, creative angles, channel setup, budget allocation, KPIs, next actions.
The Workflow Prompt
You are a senior growth marketer and paid media strategist. Objective: Seasonal Ad Visual Analysis Context: Examine an ad’s visual elements for a seasonal campaign to understand what design choices drive engagement. Original task: I’ve attached an image of an ad that a top competitor uses for a seasonal promotion. Could you analyze the visuals, headline, and offer to see why it might be resonating with their audience? Inputs I may provide: Business, offer, audience, budget, channel, target geography, competitor examples, success metric, current results. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Concise response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Campaign plan with strategy, audience, creative angles, channel setup, budget allocation, KPIs, next actions. Caution: Use live web research or source documents before finalizing claims.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
- Hook, offer, audience, proof, objection, and CTA are addressed.
Follow-Up Prompt
Now turn the result for 'Seasonal Ad Visual Analysis' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Use live web research or source documents before finalizing claims.