Strong presence on comparison prompts, weak presence on pricing and alternatives.
Make your brand the answer.
See how your brand shows up in ChatGPT and Perplexity — where competitors rank, which sources get cited, and what to do next.
Trusted by early teams
Operators already using Aparok to improve AI visibility.
Brands use Aparok to understand where ChatGPT and Perplexity mention them, which pages assistants trust, and how assistant-driven traffic behaves after fixes go live.
Uses Aparok to monitor how ChatGPT and Perplexity surface core category prompts, pricing intent, and citation gaps across key product pages.
Uses Aparok to track how AI assistants describe the product, which competitor alternatives appear, and where answer quality breaks down.
How it works
From URL to action in three steps.
Add a URL. See your AI visibility audit. Get a prioritized action list.
Add your brand with a URL
Add a URL and Aparok generates prompt watchlists that mirror how real buyers search so you can gauge visibility and sentiment.
See your AI discovery audit
Aparok checks how often your brand is mentioned, who else shows up, and which sites assistants trust when they form answers.
Take immediate action
Get prioritized recommendations across technical fixes, content updates, and placements on sites that AI models already cite.
Features
Everything you need to win in AI Search.
Monitor AI visibility, understand competitors, and turn signal into a prioritized optimization workflow.
FAQ
Questions teams ask before they start monitoring AI discovery.
Common questions about Aparok and AI discovery.
What is Aparok?
Aparok is an AI discovery platform that combines prompt tracking, citation monitoring, AI traffic analytics, and crawl-based readiness audits.
How does Aparok track AI visibility?
Aparok monitors prompt watchlists across providers, records citations and brand mentions, audits site structure for LLM readability, and attributes assistant-driven traffic with a snippet.
How do you measure AI traffic from ChatGPT and Perplexity?
Aparok uses a site snippet to capture assistant-attributed visits, page views, conversions, and referral patterns. That gives teams a dedicated view of AI traffic instead of mixing it into generic web analytics.
How can I optimize my site for LLMs and AI search?
Start with clear answer-first content, stronger heading structure, visible trust signals, structured data, and pages built around the questions buyers actually ask. Aparok surfaces those gaps through audits, prompt tracking, and recommendations.
What is LLM optimization?
LLM optimization is the process of making your site and brand easier for AI assistants to understand, cite, and recommend. That includes content clarity, citation-worthy pages, technical structure, and monitoring how assistants respond to key prompts.
How do I know if AI assistants mention my brand?
Aparok runs prompt watchlists across providers, stores answer excerpts, records brand mentions and cited domains, and shows where competitors appear instead. That makes AI visibility measurable instead of anecdotal.
Who should use Aparok?
Aparok is built for software teams, agencies, and operators who want to understand how brands show up in AI answers and what changes increase visibility.
Does Aparok replace Google Analytics or Mixpanel?
No. Aparok focuses on AI discovery, prompt presence, citations, and assistant-driven traffic. It complements traditional web analytics rather than replacing them.
How does pricing work?
Each plan includes the platform, audits, reports, and AI traffic analytics. Prompt runs consume credits based on prompt count, provider count, and run frequency.
