You put time into your brand and your content. But when someone asks AI for a recommendation in your category, does your company come up? Propps helps you see the answers, decide what deserves attention and follow the next scans.
Find the questions where your brand needs attention
Choose questions that could matter when a customer is exploring a need, comparing options or selecting a supplier. Propps collects answers, identifies the companies mentioned and explains the result per question. You can open the original answers to check the conclusion.
Your first scan already shows whether your brand appeared, whether it was recommended and which alternatives were named. You do not need weeks of history to understand that starting point.
Give your content investigation a focus
Suppose your brand appears on broad category questions, but other companies appear when the question asks about support for small teams. That is a subject to investigate if small teams are your audience. Review the answers and check whether your own information clearly explains that part of your offer.
This is an illustrative situation, not a customer result or a proven explanation for AI recommendations. Growth and Agency add improvement coaching based on your saved answers. Starter includes the analysis and summaries without that coaching.
Bring evidence to your next marketing discussion
A list of URLs or a percentage can leave your team asking “so what?”. Keep the question, the observation and the actual answer together. Use them to discuss which audience needs and topics deserve further research, rather than treating every metric as another task.
Follow the questions as your marketing evolves
After your first results, choose a schedule and eligible models. Propps supports models from OpenAI, Google and Anthropic. The answers can differ, so the platform keeps the model and settings with the result. Your plan and scan credits determine the available scope.
Follow comparable results over time to see recurring gaps and changing visibility. These are observations, not proof that a specific edit caused a ranking or revenue change. Read how comparisons work.