Why Your Google Gemini Results Suck (And How to Fix Them)

HubSpot Marketing · Beginner ·✍️ Prompt Engineering ·3h ago
Skills: Prompt Craft90%
Stop treating AI like a search engine. That's why your results are generic. If you want better outputs, stop asking and start briefing. THE BRIEF FRAMEWORK (5-Part Structure): B = BACKGROUND: What situation are we in? Set the context. R = ROLE: Who should the AI act like? Define expertise. I = INSTRUCTIONS: What exactly should it do? Be specific about the task. E = EXPECTATIONS: What should the result accomplish? State the goal. F = FORMAT: How should the output look? Define structure. BEFORE VS AFTER EXAMPLE: GENERIC: "Write a blog" BRIEFED: "We're a B2B SaaS company (Background). You're a content marketer (Role). Create an outline (Instruction). Goal is education (Expectation). Five numbered sections (Format)." THE DIFFERENCE: The AI is now primed with context, expertise, clear task, purpose, and structure. Output becomes exponentially more useful. THE SHIFT: Treating AI like a colleague you're briefing instead of a search engine you're querying changes everything. More context = better results. One framework. Five parts. 10X better prompts. Save this for next time you're prompting AI! #AIPrompts #ChatGPT #GoogleGemini #AITools #PromptEngineering #AIStrategy
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