Skip to content

Early previewFor small online stores

Know why your store's numbers changed.

When conversions, traffic or site health change, SitePulse AI shows you what moved, the evidence behind it, and what to check next. The numbers come from plain, deterministic code, never from an AI guess.

No sign up. The demo runs on a seeded sample store, not real customer data.

junipermarket.demoSep 22 to Sep 28 vs. Sep 15 to Sep 21
Sample data
Observed

Conversion rate fell 29.9% (3.85% to 2.70%) in the last 7 days compared with the 7 days before.

  • Conversion rate2.70%-29.9%
  • Checkout errors131+773.3%
  • Checkout LCP, p753.89s+69.9%
Possible explanation, not proven

Checkout errors rose 773.3% (15 to 131) in the same period, starting Sep 22, within a day of when conversion rate started to fall.

Check next

Review checkout deploys and payment errors from Sep 22

From the live demo: a seeded sample store, analyzed by deterministic code. No AI involved.

How it works

From what changed to where to look

One clear order, every time: what the data shows, what might explain it, and what to check. Facts and possible explanations are never mixed.

  1. Step 1

    Evidence first

    SitePulse compares your last 7 complete days with the 7 before, metric by metric: conversion rate, sessions, checkout errors, checkout page speed and uptime. Each number shows its method, its dates and how fresh the data is.

  2. Step 2

    Possible explanations, labeled as such

    When other signals moved around the same time as your conversion rate, they are listed as candidates, with the day each one started. They are never presented as the proven cause.

  3. Step 3

    What to check next

    Each candidate comes with a concrete next step, like reviewing checkout deploys from the day errors started, so you know where to look first.

What makes it different

Built to be checked, not just believed

Dashboards show numbers and chat tools tell stories. SitePulse keeps the evidence and the explanation apart, so you can trust one and question the other.

  • Numbers from code, not a model

    Every metric and comparison is computed by deterministic code you could check by hand. When the AI assistant arrives, it will explain these numbers, not make them up.

  • Correlation is not causation

    Signals that changed together are shown as candidates to check. SitePulse says how confident it is in the data, and why, instead of guessing a cause.

  • Visible provenance

    Source, date range, comparison range, freshness and known gaps sit next to every conclusion. Missing or stale data is called out, not quietly treated as normal.

Where it stands

An honest status

SitePulse AI is early. There are no accounts yet, and nothing connects to a real store today. Here is exactly what exists and what is next.

Works today

Live
  • An interactive demo on a seeded sample store
  • Period comparison with thresholds, data confidence and known limitations
  • Candidate explanations and suggested next checks
  • Sending feedback straight from the demo

Planned

Not built yet
  • Connecting Google Analytics 4, the first real integration
  • Accounts and a private workspace for your store
  • An AI assistant that answers questions from the same evidence, read only

See it on a sample store

Open the demo, read the evidence for a week where conversions fell, and tell us what would make it useful for your store.

Try the demo