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Analytics

Connecting downstream data so you can see whether AI visibility is producing anything.

ReportingUpdated 25th August 20262 min read
  • everything together
  • visitors, including those arriving from AI assistants
  • Google Search Console data
  • how content you published is doing
The last three appear in the sidebar but are not available yet.

Overview#

Seerly spends most of its time measuring whether AI answers mention you. Analytics is where that connects to what happened afterwards: traffic arriving from AI referrers, your Google search performance, and how content you published has actually done.

Visibility is a leading indicator, and this is the screen where you find out whether it led anywhere.

Data sources#

Google Analytics picks out visitors arriving from AI assistants and separates them from ordinary search and direct traffic, which makes it the closest thing you have to a direct answer on whether any of this is producing visits. Google Search Console sits alongside it, putting your Google performance next to your AI visibility so a single page can be read on both surfaces at once. Content Performance covers how content created in Seerly has done since it was published, and Web Presence tracks the sites linking to you, which turns out to be closely related to which sources end up being cited.

Traffic Analysis

AI Sources
which assistants actually sent visitors
Top Queries
what those visitors had asked
Small numbers here are the expected shape. Many AI conversations end satisfied, with no click to anybody.

Interpreting results#

Expect AI referral traffic to be small, and do not read that as failure. A great many AI conversations end with the person satisfied and no click to anybody, so low referral volume sitting alongside strong visibility is a perfectly normal shape. Being the brand that gets recommended has value whether or not it produces a session that week.

Read direction rather than absolute numbers while you are here. Attribution of AI referrers is imperfect across the whole industry, not just in this product, so growth in AI-referred sessions tells you something real while the precise count does not.

The most useful thing you can do on this screen is compare the same page across both surfaces. A page that performs well in Google search and never gets cited by an AI engine is a specific and diagnosable situation rather than a mystery, and the cause is usually structural. Smart Audit is where you go to look at it.

Best practices#

  • AI-referred sessions trending upward as visibility improves, even at small volume.
  • Published content showing up in both search performance and citations as time passes.
  • A sensible lag between the two. Visibility moves first and referrals follow; the two moving together is unusual enough to be worth a second look.

Next steps#

  1. Connect Google Analytics early, so you have a baseline in place before you start changing anything.
  2. Judge this over months rather than weeks. AI referral volumes are small enough that a weekly reading is mostly noise.
  3. Go after the mismatches. Pages that rank in search but never get cited are the most informative rows on the screen.
  4. Resist judging Seerly on referral traffic alone, since a good deal of the value sits in being recommended during a conversation that never produces a click at all.

Limitations#

Analytics can only show you what your connected tools can see. Conversations that end without a click leave no trace anywhere, and that describes a large share of AI usage.

Attribution of AI referrers also depends on what referrer information the assistant chooses to pass along, and that varies between platforms and changes over time without notice.

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