Turn a real buyer evaluation into an original member post built around questions buyers can check. The goal is to help a buyer make a better decision, not to disguise a feature list as advice.

Reference mechanism: Kong sponsored a single-image post by CEO Augusto Marietti (Ad Library: https://www.linkedin.com/ad-library/detail/1597958026). In the captured text, he asks executives evaluating AI governance tools whether a tool enforces AI traffic or only observes it, whether they can break down tokens by teams and providers, how MCP servers are governed, and whether policies work across models and clouds. He introduces Kong's product argument after the questions. The transferable method is a short set of discriminating, answerable buying questions tied to consequences. Kong's enterprise-customer claim in the post is its own claim, not independent evidence or a benchmark to reuse.

Supply: company, product and category; exact buyer and purchase decision; author's name, role, and direct basis for advising on the decision; two to five real evaluation questions buyers currently face; why each answer changes a purchase or implementation decision; how a buyer can verify each answer; where your product fits and where it does not; approved supporting proof; the next reader action and destination; author and sponsorship approval status.

Return exactly:
1. Buyer decision in one sentence, plus a fit verdict for a question-led post.
2. Question table with question, why it matters, how to test the answer, what a weak answer costs, and the supplied evidence behind your advice. Remove leading questions that only restate your product features.
3. An original first-person LinkedIn post draft of 120–200 words: a direct opening, three or four numbered questions, one brief reason to check the answers, and a single next action. Do not claim every competitor fails the test. Use [VERIFY] where an answer or capability lacks evidence.
4. Creative plan for a readable single image or text-only post; indicate which questions should remain in post text so the reader can inspect them without zooming.
5. Launch checks for factual review, public-post/format eligibility, member approval, linked destination, and the measure that would show whether relevant buyers engaged with the questions.

If the buyer decision or testable questions are missing, ask focused questions before drafting. If supplied material gives operational checks but no buyer-research evidence, label them proposed self-checks. Do not describe them as questions buyers commonly ask. Request buyer validation before presenting them as evidence of market demand. If fewer than three supported questions are available, return only those questions and ask for the missing evidence instead of inventing questions to meet the requested count. If the product cannot honestly answer a question, retain the question and state the limitation or choose another question that matters to buyers; never pretend the capability exists. Never invent author expertise, vendor comparisons, customer quotes, performance, permissions, speech, or data. The source Ad Library URL verifies the reference ad, not the effectiveness of this pattern for the user's market.