AI Marketer(Aim)向けのプロンプトの書き方: ベストプラクティスと例

Compare [brand] and [competitor] across all tracked topics from the past 30 days on visibility share and citation share. For the topics with the biggest gaps, inspect the top citation pages and explain why [competitor] is winning, so we can prioritize content work. Output a table with: topic, owned visibility share, competitor visibility share, owned citation share, competitor citation share, likely driver, confidence, recommended action. Finish with bullets on the biggest gaps and priority next steps.

Review the top cited owned pages for [brand] from the past 30 days. Classify each page as blog, product page, FAQ, landing page, comparison, docs, guide, case study, glossary, or other, so we can see which content formats are working. Output an exec summary, key findings, and a table with: URL, content type, citation count, evidence, confidence, recommended action.

Go through the owned URLs for [brand] that appeared in AI answers this month. Check whether [brand] appears prominently in the title, H1, intro, first paragraph, or key summary sections, so we can fix pages that get cited without clearly saying our name. Output an exec summary, key findings, and a table with: URL, prominence status, evidence, confidence, recommended fix.

Scan the top 20 owned cited pages for [brand] from the past 60 days across ChatGPT, Google AI Overviews, Gemini, and Google AI Mode. Identify pages with a month-over-month drop in citation share. For each drop, check which engines and prompts are affected and which replacement sources gained visibility, so we can diagnose lost AI visibility. Output an exec summary, key findings, and a table with: URL, citation share, MoM delta, replacement source, likely cause, confidence, recommended action.

Take the top 20 cited unique owned pages for [brand] from the past 30 days and scrape each page. Compare the AI responses that cite them against the page content and flag meaningful omissions or contradictions, so we catch brand accuracy issues before they spread. Output an exec summary, key findings, and a table (max 20 priority items) with: URL, engine, prompt, AI claim, page claim, mismatch type, severity, recommended action.

Review the top 20 cited pages for [brand] from the past 30 days. Classify each source as press, analyst, review site, affiliate, social/UGC, owned, or other, so we understand which earned channels drive visibility. Output an exec summary, key findings, and a table with: URL, source category, brand sentiment, evidence, confidence, recommended action.

Using the [brand] Knowledge Base as the source of truth, go through affiliate and partner pages cited in the past 60 days. Flag outdated or inaccurate claims about positioning, features, pricing, audience, screenshots, or competitors, so partner content doesn't misrepresent the brand in AI answers. Output an exec summary, key findings, and a table with: URL, partner, issue, evidence, severity, confidence, recommended fix.

Scan social-origin citations for [brand] from the past 30 days and scrape the body text of each page. Flag UGC that mentions [brand] negatively, inaccurately, incompletely, or with reputational risk, so we can monitor brand risk in AI-cited community content. Output an exec summary, key findings, and a table with: URL, UGC type, mention type, risk, evidence, severity, confidence, recommended action.

Review the top cited Reddit threads for [brand] on [topic] from the past 60 days. For each thread, check recency, [brand] mentions, competitor mentions, sentiment, and whether [brand] has a credible opportunity to enter the conversation, so we know which threads to monitor, engage, or support with owned content. Output an exec summary, key findings, and a table with: prompt, subreddit, URL, brand mentioned, competitors mentioned, sentiment, user need, opportunity level, evidence, recommended action.