Quick questions
One question, one answer. Paste it as it is.How does AI describe us?
Quick question The distinctive words AI uses about you, each with an example.Show me the most negative answer about us.
Quick question The answer, the engine, the question and the sources behind it.Workflows
A few steps and one useful result.What’s dragging sentiment down
Workflow · Interactive page (quote wall) Find the specific answers and pages behind a sentiment drop.- You get: A wall of real quotes where the problem is impossible to miss, when the drop started, the recurring themes and the pages behind them.
- Why it helps: An average hides the one page dragging hundreds of answers down.
Positioning check
Workflow · Ranked list (claim by claim) See whether AI repeats your messaging, contradicts it, or ignores it.- You get: A claim-by-claim table (reflected / contradicted / absent) with quotes, and the top three gaps.
- Why it helps: Shows exactly where messaging isn’t reaching AI.
Side-by-side answers
Workflow · Interactive page (one column per assistant) · For leadership Feel what a buyer sees when they ask AI about your category.- You get: Real answers next to each other: who each assistant recommends first, how you’re described, which sites each one leaned on.
- Why it helps: A number says you’re at 30% visibility; this shows the answer you’re missing from. The fastest way to make leadership care.
Answer explorer
Workflow · Interactive page (filterable list) Give anyone on the team a way to browse what AI actually says, without opening the dashboard.- You get: A snapshot someone can click through in a meeting: what AI says about you, in its own words.
- Why it helps: “See what buyers see” for people who will never log into a dashboard. The previews come in one call; full answers are the expensive part, so it opens only a few.
Track whether AI gets corrected
Workflow · Ranked list (wrong claims) + questions added on approval Turn each wrong claim about you into a question that shows when AI gets it right.- You get: Each wrong claim with the answer it came from and the page behind it, plus one tagged question per claim that shows when the answer is fixed.
- Why it helps: A wrong answer is the most upsetting thing Oppin shows. This lets you watch it get fixed.
- Changes tracking: needs a connection with write access. The assistant shows the changes and waits for your yes.
- Take it further: see Fix what AI gets wrong and Positioning check.
News watch
Workflow · Answer (the question list) + questions added on approval, then a two-week check Track how AI talks about a news story while it matters, then stop.- You get: A tagged set of questions on the story, and two weeks later how the answers moved, with the ones to stop.
- Why it helps: A reputation moment is when leadership opens the tool. Tracking starts and ends with it: stopping keeps the history and gives the plan its room back.
- Changes tracking: needs a connection with write access. The assistant shows the changes and waits for your yes.
- Note: Seasons work the same way: “Using Oppin, add a Holiday gifting topic with 10 gift-guide questions in [US, UK, Canada], tagged holiday. On [Jan 5], stop them.” The later step is a second request, or a scheduled task in your assistant.
- Take it further: see What’s dragging sentiment down and Campaign or launch impact.