Read the answers AI gives your buyers.
Scheduled probes ask the questions your buyers ask across ChatGPT, Perplexity, Google AI Mode, Gemini Search, and Microsoft Bing Copilot, and record the answers, the citations, and who beat you to them.
Do AI models recommend you or your competitors?
When developers ask ChatGPT or Perplexity for a tool recommendation, you have no idea what they see or how they feel about you. DevTune tracks your rankings, citations, sentiment, and visibility across every major AI search platform so you can stop guessing and start optimizing.
Search query tracking
Monitor how AI models respond to developer queries across all frontier models
Ranking trends & visibility
Track your position over time and identify when your product or brand gains or loses visibility
Content gap analysis
Discover what questions developers ask that your documentation doesn't answer
Competitor comparison
See how you stack up against your competitors in AI search results
Comprehensive Citation Tracking
Find every single citation of your owned surfaces along with competitors and third-party sources
Custom tracking configurations
Define your own search topics and prompts and track the metrics that matter most
Multi-platform coverage
Test AI Search presence across ChatGPT Search, Perplexity, Google AI, and Microsoft Bing Copilot
Red Ocean vs. Blue Ocean Prompts
Not all search queries are created equal. Understanding the difference between competitive and opportunity-based prompts is key to optimizing your AI search presence.
You can't fix what you can't see
AI models pull from your docs, GitHub issues, and Stack Overflow to form recommendations. But which sources are they actually using? DevTune traces every citation back to its source so you know exactly what to improve.
AI-Powered Analytics Dashboard
primaryMachine Learning Best Practices
competitorNeural Network Architecture Guide
otherDeep Learning Framework Comparison
primaryData Science Pipeline Optimization
otherAI Model Deployment Strategies
competitorCitation source tracking
See exactly where AI models pull information from: docs, GitHub, StackOverflow, and more
Prompt effectiveness analysis
Understand which prompts trigger the most accurate and relevant responses about your SDK, product or brand
Competitive citation analysis
Compare citation frequency and prominence between your product/brand and competitors across AI responses
Documentation coverage gaps
Identify areas where your documentation is missing or needs improvement to boost AI visibility
Source quality scoring
Understand the quality and authority of sources AI models reference for your product or SDK
Attribution insights
Get detailed reports on how different sources contribute to AI model knowledge about your SDK, product or brand
Developer conversations shape your brand and AI recommendations
What developers say on Reddit, Hacker News, Stack Overflow, Dev.to, and GitHub Issues & Discussions directly shapes your brand perception and what AI models recommend. But most teams have no way to monitor these conversations or connect them to outcomes. DevTune surfaces every relevant thread and shows how community activity tracks with your visibility and growth.
Real-time conversation tracking
Monitor threads mentioning your brand, competitors, and relevant topics across major developer communities
Sentiment & volume trends
Track how developer sentiment and discussion volume change over time after product updates or launches
Brand mention analysis
See exactly how developers talk about your tool: pain points, praise, feature requests, and comparisons
Multi-platform coverage
Aggregate signals from Reddit, Hacker News, Stack Overflow, Dev.to, GitHub Issues & Discussions, and other developer communities