Measure AI traffic impact. Track quality by source. Optimize what drives outcomes.

Seerly visibility tracking measures whether AI engines mention you and where you rank on tracked prompts. Seerly Analytics measures what the people who arrive afterwards actually do. One counts presence, the other counts outcomes.

Most teams need both, because a mention that never produces a session and a session that leaves from the first screen are different problems with different fixes.

• Visibility: mention rate, rank position, and competitor share on tracked prompts
• Analytics: sessions, engagement depth, bounce behavior, and landing-page outcomes
• Both views split by AI source, so the two can be read against each other
• Content published through Seerly reported as its own per-asset drilldown

Read side by side, they turn an AI visibility gain into a traffic argument the rest of the business can follow.

Yes. Seerly Analytics splits AI traffic by source, so ChatGPT, Perplexity, and Google AI Overview can be compared on volume and on the engagement quality of the sessions each one delivers.

Volume on its own is misleading. One engine often sends fewer visitors who read several pages, while another sends more who bounce immediately.

• Source distribution showing each AI platform’s share of AI sessions
• Session trends per source across the selected reporting window
• Engagement rate, bounce rate, and average session time for AI-origin traffic
• The top AI source called out for each published page

How many engines appear depends on your plan: Basic covers one engine of your choice, Pro covers all three.

Yes. Seerly reports published-content performance per asset, so every page created through the content workflow carries its own visitor count, average session time, bounce rate, and top AI source.

That keeps publishing and measurement in one place, instead of exporting URLs into a separate reporting tool and rebuilding the mapping by hand.

• Total visitors, average session time, and bounce rate per published page
• The AI source contributing the most traffic to that specific asset
• Period-over-period movement, so recent edits can be judged quickly
• A drilldown from source distribution into the individual page

Short feedback loops matter most here, because headline, structure, and intent match only become testable once each asset reports separately.

Seerly Analytics ranks AI landing pages by session quality rather than traffic alone, so pages that attract AI-origin visitors and then lose them surface as the highest-value optimization targets.

The signal is the gap between arrival and retention. Strong sessions with a weak engagement rate point to a content depth or intent-match problem, not a visibility one.

• Engagement, dwell time, and depth compared per AI landing path
• Pages ranked by performance impact instead of session count
• Source-level context kept visible while reviewing on-site outcomes
• Weak pages handed straight into the content workflow as briefs

Teams often pair this with Smart Audit: one view shows which pages underperform, the other shows the structural reasons why.

Seerly attributes AI traffic across ChatGPT, Perplexity, and Google AI Overview, alongside your Google search footprint, and the number of engines you see is set by the plan you are on.

Sources stay separate throughout the reporting views, because AI platforms differ both in how much traffic they send and in how engaged that traffic is.

• Basic: one engine of your choice, either Google AI Overview or ChatGPT
• Pro: all three engines, ChatGPT, Perplexity, and Google AI Overview
• Enterprise: additional engines on request, under a custom scope
• Your Google search footprint reported alongside the AI sources

Source distribution is never collapsed into a single blended AI figure, so a shift on one platform stays legible.