An AI agent that finds people already looking for your product
Demand Radar finds high-intent buyers in the conversations that AI models like ChatGPT and Gemini use to make recommendations — so you can convert them today and influence what AI recommends tomorrow.
Private beta · Free for early users
Detect real purchase intent, not just mentions
AI prioritizes conversations most likely to convert
New opportunities delivered in real time
Your future customers are asking for recommendations right now
"What tool should we use for...?"
"Any alternatives to [competitor]?"
"Looking for a solution that can..."
These conversations represent real buying intent — and they're also the source material that AI chatbots like ChatGPT and Gemini use when recommending products. Miss them, and you lose both the sale and the AI recommendation.
Turn live conversations into pipeline
Continuous monitoring
AI scans relevant online communities where buyers research tools and ask for recommendations.
Intent analysis
Every conversation is evaluated for buying intent, urgency, and fit for your specific product.
Opportunity ranking
High-value opportunities are surfaced and ranked so you focus on what matters most.
You engage, you win
Review opportunities, understand context, and engage authentically — on your terms.
AI-Native
Built as an AI demand discovery system
Understands intent from context
Detects evaluation and switching signals
Identifies competitor dissatisfaction
Filters noise automatically
Ranks opportunities by likelihood to convert
Continuously learns what matters for your product
This isn't monitoring. It's an autonomous AI that hunts for demand.
AI Recommendation Era
ChatGPT and Gemini are the new search engines. Are you showing up?
When a founder asks an AI “What's the best tool for X?”, the answer is shaped by real conversations on Reddit, Twitter, and online communities. The products that show up in those discussions are the ones AI recommends.
Be where AI looks
LLMs train on and retrieve from public discussions. Your presence in high-intent threads directly shapes what AI recommends.
SEO is evolving
Traditional search rankings matter less when buyers ask ChatGPT instead of Google. The new ranking factor is authentic community presence.
Compound visibility
Every conversation you engage in today becomes training data that influences AI recommendations for months to come.
Demand Radar finds the conversations that matter — you show up, engage authentically, and build the presence that AI models learn from.
Built for B2B SaaS growth
High-intent leads
Every opportunity is someone actively looking for a solution like yours.
Early advantage
Reach buyers before competitors even know the conversation exists.
Founder-led growth
No ads, no cold outreach. Engage authentically where buyers already are.
Focus on what matters
AI filters noise so you only spend time on opportunities worth pursuing.
Where Demand Radar finds demand
Demand Radar monitors the communities where buyers research tools — and where AI models like ChatGPT and Gemini source their product recommendations.
Supported
Thousands of subreddits where buyers ask for recommendations and evaluate products.
Supported
Twitter / X
Real-time tweets, hashtags, and accounts where buyers share needs and evaluate tools.
Expanding to
Industry forums and niche spaces
More real-time demand sources
Find buyers today. Shape AI recommendations tomorrow.
Private beta · Limited access