Kymo

Kymo is an analytics platform for websites that want to understand how AI systems interact with their content and whether that attention leads to measurable business results. It shows which pages are read by AI engines such as ChatGPT, Claude, and Perplexity, then connects that activity with human visitors, goals, and revenue.

The platform brings AI reading and human traffic into the same analytics story. Teams can see which pages AI systems consume, understand the questions those pages appear to answer, and compare that attention with the visitors and conversions those pages generate.

Key Features

AI Read Tracking

Kymo shows which website pages are being read by AI engines and how frequently they are accessed.

This gives site owners visibility into AI attention that is otherwise difficult to measure, including:

• Pages read by AI systems
• Reading frequency
• AI-specific page activity
• Content receiving the most AI attention

Visitor Analytics

Track human visitors alongside AI activity through a standard analytics dashboard.

Visitor reporting includes:

• Live visitor counts
• Visitor activity
• World map visualization
• Page-level traffic

This provides the human side of the visibility picture after AI systems interact with the site's content.

Conversion Tracking

Connect website activity to measurable goals.

Kymo supports tracking for:

• Page goals
• Events
• Outbound goals
• First-touch attribution

This helps teams understand whether AI-visible content is contributing to actions beyond simply being read.

Revenue Attribution

Kymo can connect Stripe payments back to the page that earned them.

This creates a direct link between content and revenue, allowing teams to see which pages ultimately contribute to paid outcomes.

Campaign & UTM Tracking

Track campaign activity and UTM parameters without relying on separate query-string spreadsheets.

This provides a more structured way to connect campaigns with visitors and resulting actions.

AI-Specific Analytics

Kymo provides dedicated views for understanding AI-driven content visibility.

These include:

• Back traffic
• Likely questions
• Page-level AI verdicts
• AI reading activity

The result is intended to answer practical questions about whether specific pages are being consumed by AI systems and what role those pages may play in AI answers.

Page-Level AI Verdicts

Each page can receive a plain-language verdict related to its AI visibility.

This gives teams a simpler way to communicate AI search performance without requiring every stakeholder to interpret technical analytics data.

Lightweight Website Setup

Kymo uses separate approaches for human visitors and AI systems.

Setup includes:

• A script tag for human analytics
• A server-side snippet for AI activity

Support is mentioned for frameworks including:

• Next.js
• Express
• Astro
• SvelteKit

Privacy-Focused Analytics

Kymo says it does not use third-party pixels or cookies.

The platform positions human events as analytics data used to understand site performance rather than data intended to be sold.

Built For Marketers, Agencies & Site Owners

Kymo is designed for teams that need measurable insight into AI visibility and its relationship with website performance.

It is particularly useful for:

• Consultants explaining AI visibility to clients
• SEO and marketing agencies measuring AI content exposure
• In-house marketers tracking AI-driven discovery
• Site owners wanting to understand how AI engines consume their content
• Content teams identifying pages that matter to AI systems
• Growth teams connecting AI attention with conversions and revenue

Common Use Cases

• AI visibility tracking: See which pages ChatGPT, Claude, Perplexity, and other AI engines read.
• Content analysis: Identify pages receiving meaningful AI attention.
• AI question research: Understand the likely questions associated with specific content.
• Traffic attribution: Compare AI reading activity with subsequent human visits.
• Conversion measurement: Track goals generated by pages receiving AI attention.
• Revenue attribution: Connect Stripe payments to the pages that contributed to them.
• Campaign analysis: Measure UTM-driven activity alongside broader site analytics.
• Client reporting: Explain AI visibility through pages, reads, visitors, goals, and revenue.
• Content prioritization: Compare what AI systems consume with what those pages actually produce.
• AI search reporting: Provide a plain-language view of whether pages are showing meaningful AI visibility.

Why It Matters

Traditional website analytics can show what human visitors do, but they do not necessarily explain how AI systems interact with the content before those visitors arrive. At the same time, AI visibility metrics without conversion data can make it difficult to determine whether being read by an AI engine actually matters to the business.

Kymo connects these two sides. Teams can see which pages AI engines read and compare that activity with human visitors, goals, and revenue. This makes it possible to move beyond a simple question such as "Does my site appear in AI?" and look at which specific pages are receiving attention and what those pages ultimately produce.

The page-level approach also makes AI visibility easier to communicate. Likely questions, back traffic, AI reads, goals, conversions, and plain verdicts provide practical metrics that consultants, agencies, and marketing teams can use when evaluating content.

Its lightweight setup and stated privacy approach further support teams that want analytics without relying on third-party pixels or cookies. With both human and AI activity measured within the same platform, Kymo provides a clearer view of how content moves from AI consumption to real website outcomes.

Measure AI Content Visibility With Kymo

Understand what AI systems read and what those pages produce. With AI read tracking, visitor analytics, conversion goals, Stripe revenue attribution, campaign tracking, and AI-specific page insights, Kymo helps teams connect AI visibility with measurable website performance.