Improve your brand visibility across AI platforms by targeting and appearing in conversations relevant to your brand.
Profound analyzes billions of near real-time data signals, giving you insight into how consumers interact with answer engines like ChatGPT, Google, and Perplexity.
All you need to do is 1 explore conversations relevant to your brand, 2 track how your brand appears, and 3 improve your brand visibility.
Explore keyword and topic volume across AI platforms.
Get insights to become more visible in AI answers and reach millions of potential customers.
Real data affords real results.Understand how AI conversations differ from traditional search. AI isn't just another search engine, it’s how humans naturally interact with technology.
Learn what your audience really asks AI about. See estimated search volume for the keywords and topics relevant to your brand.
Monitor your brand’s performance by tracking visibility and rank for the specific keywords and topics you care about.
Use these real insights to get your brand surfaced by AI engines more often and more favorably.
The teams we empower
Scale
We process billions of data signals daily to create the most comprehensive map of human-AI interactions available.
Real-World Foundation
Every insight is anchored in real data, eliminating guesswork about how people engage with AI.
Synthetic Enhancement
Our proprietary synthetic data allows granular analysis of AI responses to your brand's specific needs.
Advanced Data Science
Our pipeline cleans and processes this corpus to train models that accurately map human-AI conversations.
Read more about conversation explorer
Josh Blyskal and Sartaj Rajpal
New research reveals drastically different citation patterns between major AI platforms. Understand how ChatGPT, Google AI, and Perplexity source their information differently and what it means for AI visibility.
Dylan Babbs
We’re thrilled to announce next‑aeo, a new NPM package from Profound designed for Next.js developers who care not just about SEO, but AEO (AI Engine Optimization). It builds a bridge between your app and today’s answer‑driven LLMs.