Gökhan Geyik

Ansvisor - Scale your brand visibility across AI answer engines

Ansvisor is the open-source AEO platform that helps brands track and grow visibility across ChatGPT, Claude, Perplexity, Copilot, Google AI Mode, and more. Monitor mentions, citations, sentiment, prompt volumes, and competitor share-of-voice in real time — then turn those insights into briefs and content workflows your team can ship. MIT licensed, self-hostable from GitHub, and built with the community. Own your brand's presence in the AI era — not just rankings, but the answers themselves.

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Gökhan Geyik
Hey Product Hunt 👋 I'm thrilled to launch Ansvisor today — the open-source platform for Answer Engine Optimization (AEO). Search is changing fast. People aren't just Googling anymore — they're asking ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview. The brands that show up inside AI-generated answers will own the next decade of discovery. But every tool in this space today is a closed black box: you can't see how it works, you can't extend it, and you can't trust the numbers. We thought AEO deserved better. So we built Ansvisor in the open, under the MIT license. What you can do with Ansvisor; 🔍 Track how AI answer engines mention, cite, and rank your brand 📊 Monitor prompt volumes and discover real buyer intent across LLMs ⚔️ Benchmark competitor share-of-voice in AI answers ✍️ Turn insights into AI-ready content briefs and workflows 🛠️ Self-host the whole thing from GitHub, or use our cloud Who it's for AEO/SEO teams, content marketers, PR & brand teams, agencies running multiple clients, and developers who want to build on top of an open AEO stack. What's next We're shipping fast and the roadmap is public. Stars, issues, PRs, and brutal feedback are all welcome on GitHub → github.com/aeohub/ansvisor Huge thanks to everyone who tested early builds with us 🙏 I'll be here all day — ask me anything about AEO, the open-source approach, our architecture, or anything else!
Rivra

AEO (Generative Engine Optimization) is the new SEO. How does Ansvisor measure 'visibility' inside an LLM's non-deterministic response? Is there a proprietary score you use?

Gökhan Geyik

@rivra_dev There's a score, but it's not proprietary; it's in the repo and you can fork it tomorrow.

The visibility score (0–100) is a weighted blend per response: 50% mention frequency (how often your brand is named, capped to prevent spammy responses), 25% position (first mention vs. buried at the bottom), and 25% citation presence (whether the engine cited a URL pointing to your domain, or a third party that mentions you).

Non-determinism is handled through aggregation. Each tracked prompt runs across 8 engines (ChatGPT, Gemini, AI Overview, AI Mode, Perplexity, Claude, Copilot, Grok), and results are aggregated over time. A single response is noise; the trend over a week is signal.

It's all auditable — repo: github.com/aeohub/ansvisor. Open to feedback on the weighting; the current model is opinionated, and we'd love to see how others would tune it.