RHM Digital helps businesses understand how they’re represented across AI search engines like ChatGPT, Claude, Gemini, and Perplexity. Track brand mentions, recommendations, and competitor visibility in one dashboard. Discover where your brand appears, identify opportunities to improve AI visibility, and get actionable recommendations based on real AI search results.
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Maker
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I’m Ruben, the founder of RHM Digital. Thanks for checking us out.
Over the past year, I’ve noticed a major shift in how people discover businesses. Instead of searching through Google, they’re asking ChatGPT, Claude, Gemini, and Perplexity for recommendations.
The problem is that most businesses have no idea how they’re represented in these AI-generated answers.
That’s why I built RHM Digital.
RHM Digital helps you understand where your brand appears, which competitors are recommended instead, and what you can do to improve your AI visibility. Rather than focusing on traditional rankings, we focus on how AI search engines understand and recommend brands.
This is our first public launch, and we’re excited to hear your feedback. Every comment, question, and suggestion helps us improve the platform.
Thanks for taking a look, and I’d love to know:
How do you think AI search will change the way people discover businesses over the next few years?
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How often does it pull fresh results from the AI engines, and is that tied to API limits or your own scraping cadence? Wondering how current the mention data actually is when models update constantly.
Since we’re currently in beta, there may still be occasional inaccuracies or inconsistencies as we continue improving the platform.
RHM Digital doesn’t rely on models continuously pushing updates to us. Instead, we run scheduled scans using the same prompts over time, allowing you to track changes in mentions, citations, rankings, and recommendations across supported AI engines.
Data freshness depends on your plan and scan frequency rather than model update cycles. Each scan creates a new snapshot, making it possible to measure trends and compare performance over time.
We’re also continuously refining our infrastructure and data collection during the beta, so you’ll see improvements in accuracy and coverage as the platform evolves.
How often does it pull fresh results from the AI engines, and is that tied to API limits or your own scraping cadence? Wondering how current the mention data actually is when models update constantly.
@melahat70776
Great question.
Since we’re currently in beta, there may still be occasional inaccuracies or inconsistencies as we continue improving the platform.
RHM Digital doesn’t rely on models continuously pushing updates to us. Instead, we run scheduled scans using the same prompts over time, allowing you to track changes in mentions, citations, rankings, and recommendations across supported AI engines.
Data freshness depends on your plan and scan frequency rather than model update cycles. Each scan creates a new snapshot, making it possible to measure trends and compare performance over time.
We’re also continuously refining our infrastructure and data collection during the beta, so you’ll see improvements in accuracy and coverage as the platform evolves.