Your analytics dashboard answers one question: who is finding your stacks, cards, and profile, and how. It pulls together ordinary web traffic, AI assistants reaching for your content, and the people who follow, save, and share it. This page walks through every panel so you know what each number means before you act on it.
Open it from any workspace. The dashboard defaults to the last 30 days, and the Workspace scope tab shows the numbers for the space you're in.
Reading the dashboard
A few controls sit at the top of every analytics view:
Scope toggle. Switch between Workspace scope (the space you're looking at) and Organization scope (everything across your org rolled up). This article covers the workspace and profile view. For the org rollup, see Organizational Analytics (GEO).
Date range. Everything defaults to the last 30 days. The header shows the exact window and when the data last updated.
Refresh. Pulls the latest numbers. Analytics aren't always live to the second, so the header tells you how fresh the view is.
Traffic and reach
The two headline numbers at the top describe plain web traffic to your public content:
Total views. Page views across your stacks, cards, and profile in the window. One person can count more than once if they come back.
Unique visitors. Distinct people, counted once each, no matter how many pages they open. This is the better number for "how many people reached me."
AI visibility
A growing share of people never visit a website at all. They ask ChatGPT, Perplexity, or Claude and get an answer. These panels show how your workspace's content gets indexed, referenced, and surfaced to external users, including AI assistants and crawlers. This is your workspace's own discoverability, and it's part of the standard dashboard.
It's worth knowing the difference between this and a Brand GEO discoverability report. The panels here are about your workspace and its profile. A Brand GEO report is a deeper, organization-level view of how a whole Brand or Company shows up across AI engines, and it's a separate add-on. See Organizational Analytics (GEO).
Used in AI answers. The number of times an AI assistant grabbed your content while answering someone. This is the closest signal you have to being used in an answer, but it is a floor, not proof. A fetch means the assistant reached for your content; it doesn't guarantee your content was quoted or cited.
Who's reading your content (AI). A daily chart splitting AI activity into two kinds. The purple line is bots learning and indexing your pages (AI search engines plus training and indexing crawlers). The green line is AI assistants grabbing a page to answer a live person. The legend totals each bucket for the window.
What got used in AI answers. Which specific stacks, cards, collections, and profiles an assistant pulled while answering someone, ranked by how often. Again, the closest signal to being used in an answer, not proof of a citation.
Top bots & crawlers. The bots pulling your content, ranked by visits. This includes ordinary search engines like Googlebot and Bingbot, not only AI, so you can see your full crawl footprint in one place.
Fetched by AI. What AI crawlers pulled for indexing and training, by content item. Fetched means retrieved, not necessarily cited in any answer. High numbers here mean AI systems are aware of that content.
Most-discovered content. What search engines and crawlers indexed, with a last-fetched date. This is the broadest measure of web discoverability, AI and traditional search combined.
If these numbers are lower than you'd like, the fix is usually content hygiene: clear titles, real descriptions, focused stacks, and public visibility. See Make your content discoverable by AI assistants.
Your top content
Two ranked lists show what's actually working:
Top stacks. Your most-viewed stacks over the last 30 days, by views.
Top cards. Your most-opened cards over the last 30 days, by opens. A card open means someone clicked through to the saved link, so this is a sharper engagement signal than a view.
Audience and engagement
The lower panels track the people around your content, not just the traffic to it:
Saves. A daily chart of how often people saved your content into their own stacks over the window.
Follows. Audience growth over the window, broken into new follows, unfollows, and the net change.
Likes. Engagement on your content over the window, broken into new likes, unlikes, and the net change.
Shares. How your content left the platform, broken out by content type (stack, profile, collection) and channel (copy link, social links).
Profile analytics
Your public profile is measured the same way. Profile views feed Total views and Unique visitors, and profile follows and shares show up in the engagement panels. Your profile is also surfaced to external users, including AI, so it can appear in the AI-visibility panels as content that was indexed, referenced, or fetched (for example, an assistant pulling stacklist.com/yourname while answering someone). That workspace-and-profile discoverability is standard. A brand-level view across AI engines is a separate, organization-level add-on, covered in Organizational Analytics (GEO).
Where to go next
Organizational Analytics (GEO) — the brand-level rollup across every workspace in your org
Make your content discoverable by AI assistants — how to move the AI visibility numbers up
What is a workspace? — what a workspace holds and how scope works