Reporting

Using Oppin, write a 150-word update for our CMO on how AI assistants talked about us this month compared with last month. No jargon. Include where we rank, the biggest improvement, the biggest concern, one competitor move, and one question leadership should think about.

Using Oppin, write this month's AI visibility report for [brand], ready to send to [the client / our team]. Plain language, no internal jargon. Sections: summary, how visible we are, competitors, how AI describes us, the sites AI relies on, what changed on key questions, Oppin's recommendations, next steps. Flag anything based on thin data. Make it a PDF with [our logo and colors]: a one-page summary, then the charts.

Using Oppin, write our weekly AI visibility brief. Save the full brief to Notion as "[date] Weekly AI Brief", then post a three-line summary and the link to #marketing.

Using Oppin and my calendar, every morning look at today's external meetings. For any company we track in Oppin, send me a five-bullet AI visibility brief in Slack before the meeting.

Using Oppin and [GA4 / Amplitude], put our weekly AI visibility next to sessions and conversions from AI assistants over the last 3 months. Tell me whether they move together, and be clear that this is correlation, not proof. Chart them as two small charts stacked on the same weeks, not one chart with two axes.

Using Oppin, for each brand we manage, post a five-line weekly update to its client Slack channel: visibility, change vs last week, sentiment, one competitor move, one thing worth flagging. Then put all of them in one internal summary for our team.

Using Oppin, build a self-contained HTML page with a world map of our visibility by country, a topic heatmap against our competitors, and this month's headline numbers. Use [brand colours]. It should open without a login.

Using Oppin, run a complete AI brand audit for [brand] over the last 3 months. Cover how AI discovers us (the questions and fan-out queries where we show up or don't), how it describes us (words, tone, differences between assistants), how it recommends us against competitors (overall, by question, by topic, by country), and what it relies on (the sources, our own site's role, the gaps). Start with a half-page executive summary: our strongest points, weakest areas, recurring perception themes, and the three most important opportunities, using Oppin's own recommendations where they fit. Then give the evidence for each. Don't make recommendations the data can't support, and flag anything based on thin data. Deliver it as a PDF with a one-page scorecard up front and one chart per section.

Act as our weekly AI visibility analyst, using Oppin. First read last week's brief in Notion, especially its "watch next week" list. Then review this week's data against last week. Report only meaningful changes and investigate the biggest ones (questions, competitors, sources, tone). Write: what changed, why it matters, what happened to last week's watch items, what marketing should consider, and what to watch next week. Save it to Notion as this week's brief and post a short summary with the link to #marketing.

Using Oppin, prepare our quarterly AI visibility review. List the recommendations we marked completed this quarter. For each, check what happened afterwards on the questions, sources and assistants it was meant to affect, and compare with how competitors moved. Say which appear to have helped, which show no change yet, and where it's too early or too thin to tell. End with next quarter's priorities. Make it a slide deck: one slide per completed action and what happened after it.