AI Analytics
An analyst that reads your traffic whenever you ask
Lomen AI does not generate more charts. It reads the pageviews you already collect, finds the two or three things that changed materially, and tells you what to do about them in language you can forward to your co-founder.
Four steps, no black box
Every insight names the figures it used, and those figures sit on the same dashboard, so the pageviews and pages per visit behind a claim are right there to check.
1 · Detect
Lomen works out baselines from your own days: averages, weekday patterns, week against week, and the days that sit well outside them.
2 · Connect
Each deviation is read alongside the pages and sources around it, so an insight points at a probable cause rather than restating that a line went up.
3 · Explain
A language model writes the finding in plain English using only the figures Lomen computed, with every number traceable back to your own collected pageviews.
4 · Qualify
Lomen attaches a confidence level, ranks the findings so the top item is genuinely the top item, and says plainly when there is not enough data to claim anything.
Insights from the demo website
These are verbatim examples of the kind of summary Lomen produces for an illustrative site's traffic.
Your changelog is quietly your best entry page
Sessions that start on /changelog view 2.3× more pages than sessions that start on the home page, and they are growing 18.4% month over month. Linking it from the top navigation is the cheapest experiment available to you.
One source is driving last week's spike
62% of last week's extra visits arrived from news.ycombinator.com, and those visitors read a single page then leave. A tailored call to action on /features is where that attention is being lost.
Mobile visitors drop off before /pricing
Mobile is 38.0% of visitors but only 21.4% of pricing pageviews. The gap has widened for three weeks, which usually points at layout or load time on the path into pricing rather than intent.
Conversational analysis, with citations
Ask “why did traffic jump last Tuesday?” and Lomen answers with the source that sent the visits, the page they landed on and how many read a second one, each figure drawn from your own data.
We train no models on your data
Insights are written by Google Gemini, and it receives only the figures your question needs, never visitor identities. We sell or share your data with no one. While Lomen runs on Google's free tier, Google may use the content of these requests to improve its own services.
Numbers come from computation, not the model
Every figure in an insight is calculated from your collected pageviews. The language model writes the sentence around numbers it is given; it never invents them.
Insights say when data is thin
If there is not enough traffic to support a claim, Lomen says so instead of manufacturing a pattern out of a handful of visits.