AI Summaries: Interpreting Real Metrics

Optional AI that explains what changed in plain language, grounded in visible data.

AIai summarieschangesspikesdropsexplanations
Open AnalyticsRead the API Docs

Overview

AI can narrate what the numbers already show: “engagement rose 18% week-over-week” or “two posts accounted for half of clicks.”

Keep outputs grounded—cite the time range and metric, and avoid speculative claims.

Key Ideas

  • Summaries should be short and skimmable.
  • Always reference the exact window and metric.
  • Highlight drivers (volume, format, channel) when obvious.
  • Prefer neutral, verifiable wording.

Simple Flow

  1. Collect totals and deltas for the chosen window.
  2. Identify obvious drivers (top posts, platform shifts).
  3. Generate 2–4 sentences with links to source views.
  4. Allow humans to edit before sharing.
Open AnalyticsExplore FeaturesRead the API Docs

FAQs

  • Can AI recommend actions? Yes—when grounded in visible data (e.g., “short videos outperformed long posts this week”).
  • Does AI replace analysis? No. It accelerates reading; humans still set goals and interpret trade-offs.
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