Prompt

Need status page with maintenance notices

Technology / Observability1 observationLast seen Oct 10, 2026

Latest observation

Oct 10, 2026OpenAI APIWeb search: off

I can help with that. Here’s a simple status page structure that includes maintenance notices.

Suggested status page sections

  • Current status
    • All systems operational / Degraded / Partial outage / Outage
  • Maintenance notices
    • Upcoming maintenance
    • In-progress maintenance
    • Completed maintenance
  • Incident history
  • Subscriptions / alerts
    • Email, SMS, webhook
  • Component list
    • API
    • Web app
    • Database
    • Auth
    • Payments

Example maintenance notice copy

Scheduled Maintenance

We will be performing scheduled maintenance on Saturday, Oct 12 from 01:00–03:00 UTC. During this time, the dashboard and API may be intermittently unavailable. We appreciate your patience.

In-Progress Maintenance

Maintenance is currently in progress. Some services may be unavailable or slower than usual. We’ll post an update when it is complete.

Completed Maintenance

Scheduled maintenance has been completed. All systems are back to normal.

Simple HTML example

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8" />
  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
  <title>Status Page</title>
  <style>
    body { font-family: Arial, sans-serif; margin: 0; background: #f7f7f7; color: #222; }
    .container { max-width: 900px; margin: 40px auto; padding: 0 20px; }
    .card { background: #fff; border-radius: 10px; padding: 20px; margin-bottom: 20px; box-shadow: 0 2px 8px rgba(0,0,0,.08); }
    .status-ok { color: #0a7a2f; font-weight: bold; }
    .status-maint { color: #b26a00; font-weight: bold; }
    .notice { border-left: 5px solid #b26a00; padding-left: 15px; }
    .small { color: #666; font-size: 0.95rem; }
  </style>
</head>
<body>
  <div class="container">
    <h1>Status Page</h1>

    <div class="card">
      <h2>Current Status</h2>
      <p class="status-ok">All systems operational</p>
    </div>

    <div class="card notice">
      <h2>Maintenance Notice</h2>
      <p><strong>Scheduled Maintenance:</strong> We will be performing scheduled maintenance on Saturday, Oct 12 from 01:00–03:00 UTC. During this time, some services may be intermittently unavailable.</p>
      <p class="small">Last updated: Oct 10, 2026</p>
    </div>

    <div class="card">
      <h2>Components</h2>
      <ul>
        <li>Website — Operational</li>
        <li>API — Operational</li>
        <li>Database — Operational</li>
        <li>Authentication — Operational</li>
      </ul>
    </div>
  </div>
</body>
</html>

If you want, I can also make this into:

  1. a professional status page copy,
  2. a React component, or
  3. a full status page template with multiple maintenance posts.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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