AI visibility strategy, traffic, and readiness
ChatGPTPerplexityGeminiClaudeCopilot

Find where AI search is leaking buyers.

Track how your brand appears in AI answers, see when competitors get cited instead, and connect AI visibility to real website traffic so you know what to fix first.

Built for businesses, marketing teams, SEO agencies, and growth operators.

No credit card requiredFree 7-day trialCancel anytime
Buyer question monitoredBest tools to track brand visibility in AI search
Aparok workspaceAI discovery score
74

Strategy report flags prompt gaps, cited sources winning attention, AI-origin traffic, and the pages to create or fix first.

Demand gapFind buyer prompts where AI should recommend you but does not
Competitive leakSee which sources and competitors AI answers cite instead
Next moveGet the prompt and page roadmap to improve discovery

Prompt visibility

See what AI answers say before the click

Run buyer-intent prompts in ChatGPT and Perplexity, then store answer excerpts, brand mentions, cited domains, and citation gaps.

AI traffic

Attribute visits from AI assistants

Separate traffic from ChatGPT, Perplexity, Gemini, Claude, and Copilot using referrers, source hints, and UTM evidence.

LLM readiness

Fix the pages AI systems need to understand

Audit crawlable content, schema, canonical tags, headings, trust signals, and JS-heavy pages that weaken extraction.

Prompt coverage

Monitor the buyer questions that shape AI recommendations.

Track category, comparison, traffic, and alternative prompts across industries so the strategy report can show where your brand is missing or competitors are winning.

Buyer promptBest AI voice tools for customer support teams
Buyer promptBest restaurants in Boston for a client dinner
Buyer promptBest skincare brands for sensitive skin
Buyer promptBest accounting software for small businesses
Buyer promptBest cybersecurity tools for growing SaaS teams
Buyer promptBest SEO agencies for ecommerce brands

Paid report

Use the AI Visibility & Traffic Leak Report to guide your growth strategy.

The strategy report shows which AI prompts mention you, which sources win instead, which AI-origin visitors reach your site, and what to fix first.

Strategy memoWhat are we losing, and what should we fix first?
Demand gapWhich buyer prompts should recommend you but do not
Competitive leakWho and which sources AI answers cite instead
Traffic signalWhether AI visibility is becoming sessions and conversions
Prompt roadmapThe pages and prompts to create, defend, or retest next
Next moveCreate pages for high-intent prompts where competitors or third-party sources are winning attention.

Trusted by early teams

Operators already using Aparok to connect AI answers with website traffic.

Brands use Aparok to connect prompt visibility, cited domains, crawl issues, and AI-attributed sessions so they know which pages to fix, expand, or promote next.

CustomerProdMoh

Uses Aparok to monitor prompt visibility, citation gaps, and AI-attributed traffic across key product pages.

How Aparok helpsAparok helps the team connect prompt visibility with assistant-driven traffic patterns and prioritize the pages most likely to improve qualified discovery.
CustomerAnimeAvatar

Uses Aparok to see how AI-origin visitors arrive, which pages are being discovered, and where prompt tracking should focus next.

How Aparok helpsThe workflow gives the team a single view of AI traffic attribution, prompt results, and the highest-leverage content fixes for stronger engagement.

How it works

From URL to action in three steps.

Add a URL. See a GEO readiness preview. Track prompts and traffic after signup.

https://yourbrand.com
Step 1

Add your brand with a URL

Add a site to get a quick GEO readiness preview and a starter watchlist for buyer-intent prompts.

GEO readiness score74 / 100
Step 2

Track prompts, citations, and traffic

Monitor ChatGPT and Perplexity prompt results while attributing visits from ChatGPT, Perplexity, Gemini, Claude, and Copilot.

Schema fixesPrompt testsTraffic sources
Step 3

Turn signal into reports and fixes

Use crawl issues, cited domains, prompt gaps, and traffic evidence to decide what to fix, write, or report next.

What you achieve

Turn AI discovery from guesswork into a measurable workflow.

Aparok helps teams monitor prompt coverage, strengthen citation-worthy pages, and measure whether AI-driven discovery is becoming real traffic.

Monitoring

Prompt watchlists

Run the buyer questions that matter in ChatGPT and Perplexity, then store answer excerpts, brand mentions, and citations.

Traffic

AI referral attribution

Detect assistant-origin sessions from ChatGPT, Perplexity, Gemini, Claude, and Copilot when referrer or source evidence is available.

Intelligence

Source and citation insights

Identify cited domains, tracked-domain citation gaps, and third-party sources that appear in AI answers.

Audit

LLM-readiness scoring

Crawl pages for answerable content, schema, canonical signals, headings, freshness, and render-heavy pages.

Features

Everything you need to operationalize AI discovery.

Combine prompt monitoring, AI traffic attribution, site readiness checks, and reporting in one workflow.

Lead capture

Quick GEO report

Let visitors enter a URL and get a crawl-based readiness preview with suggested prompt tests.

Optimization

Recommendations

Get clear guidance on technical fixes, content gaps, and citation opportunities surfaced by audits and prompt results.

Monitoring

Workspace trends

Track prompt runs, citation rate, AI sessions, conversions, readiness score, and open issues over time.

Reporting

AI Visibility & Traffic Leak Reports

Generate strategy reports that show buyer-prompt gaps, cited-source leakage, AI-origin traffic, and what to fix first.

Pricing

Start with the platform. Scale with credits.

Every plan includes audits, reporting, and AI traffic analytics. Credits only apply when prompt runs execute.

FAQ

Questions teams ask before they start monitoring AI discovery.

Common questions about Aparok and AI discovery.

What is Aparok?

Aparok is an AI search analytics platform that combines prompt tracking, citation monitoring, AI-origin traffic attribution, crawl-based LLM readiness audits, and strategy reports.

How does Aparok track AI visibility?

Aparok runs prompt watchlists in ChatGPT and Perplexity, records answer excerpts, brand mentions, cited domains, and whether the tracked domain was cited.

How do you measure AI traffic from AI assistants?

Aparok uses a site snippet to capture assistant-attributed visits, page views, conversions, and referral patterns from sources such as ChatGPT, Perplexity, Gemini, Claude, and Copilot when source evidence is available.

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 in ChatGPT and Perplexity, stores answer excerpts, records brand mentions, tracks cited domains, and surfaces competitor or third-party sources that are winning attention.

Who should use Aparok?

Aparok is built for businesses, marketing teams, SEO agencies, founders, and growth operators who want to understand how brands show up in AI answers and what changes increase visibility, traffic, and buyer discovery.

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.