SEOAIO.aiSearch Engine Optimization + AI Optimization

The public status page

Measured success rate and latency for every engine we sample, published openly at /status.

What it is

A public page reporting, per engine, the share of sampled runs that completed over the last 30 days, how many samples that is, median and 95th-percentile latency for the ones that succeeded, and the date of the last success.

When to use it

When a measured run fails or a number looks off, and you want to know whether the engine behind it is healthy before you go hunting through your own site.

Step by step

  1. 1Open /status. No account needed.
  2. 2Find the engine your measurement depends on.
  3. 3Read its state (operational, degraded, failing, or no recent runs), its success rate, and how many samples that rate is computed over.
  4. 4Compare the latency columns when runs are slow rather than failing.

What you will see

A row per engine we sample with its state, success rate, sample count, median and 95th-percentile latency, and last success date. The figures refresh every few minutes and aggregate runs across the whole platform, carrying no customer, asset, or prompt.

Measured, never manufactured

A failed sample is excluded from your scores and counted here instead, never shown to you as a zero. Latency percentiles cover successful samples only, because a failed request is not a measure of how fast an engine answers. And with no runs in the window the page says so and shows nothing, rather than printing a fabricated uptime figure, which is the same rule every other number in the product follows. A tool that sells measurement should be willing to publish whether its own instruments are working.

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What a measured run costs

Before you trigger a paid measurement, we show what the last runs of that action actually cost on your site.