| 1. Define the output | Choose the exact work product: intent classification, serp research or brief creation. | Start with Perplexity if the job is researching search intent and source-backed outlines. | Write the audience, constraints and success criteria before prompting. |
| 2. Give real context | Paste only approved, relevant notes: goal, audience, source facts, tone rules, examples and hard constraints. | Use the prompt pattern: Classify search intent for these keywords and explain what the user wants before they click. | Remove private, regulated or confidential data unless the tool is approved for it. |
| 3. Produce the first version | Ask for a structured first pass, not a final answer. Require assumptions, missing information and weak points. | MultipleChat AI: Run the same keyword through several models to see whether they call it informational, commercial, comparison or transactional. | Reject output that sounds impressive but does not match your actual work. |
| 4. Run a second opinion | Have another model critique the draft for omissions, risk, tone, logic or factual gaps. | MultipleChat AI: use side-by-side comparison or AI Collaboration when the answer matters. | Look for disagreement between models; that is often where the real issue is. |
| 5. Verify and ship | Make the human check explicit before publishing, sending or relying on the output. | Manually inspect SERPs before finalizing.; Open top-ranking pages, not only AI summaries.; Remove made-up entities and unsupported statistics. | Do not let AI invent search volume. |