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AI Search Generative engines page with trend chart and engine performance table
Use this page to decide which engine deserves immediate work and which engine can stay in maintenance mode.

Important: Rank engines by business value first (Conversions), not by traffic volume alone.

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Questions this page should answer

  1. Which engine currently drives the highest-value traffic?
  2. Which engine is losing momentum fastest?
  3. Where should we prioritize prompt and page updates this sprint?

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Before you analyze

  • Use the same date range as Overview.
  • Compare outcomes, not only traffic.
  • Check at least two periods before making strategic changes.

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What this page gives you

  • Engine-level trend lines for key platforms.
  • A table with AI clicks, Conversions, and Avg. time by engine.
  • A fast way to separate platform issues from content issues.

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How to read this page correctly

  • AI clicks tells you volume.
  • Conversions tells you business value.
  • Avg. time is a quality proxy for post-click engagement.
Common patterns:
  • High clicks, weak conversions: intent mismatch.
  • Lower clicks, stronger conversions: high-value traffic.
  • Drop on one engine only: platform-specific fit issue.

Key signal: Conversion leaders should drive your roadmap. Treat high-click, low-conversion engines as optimization targets, not winners.

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How these metrics are calculated (simple)

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AI clicks

AI clicks are the number of AI-attributed sessions grouped by platform.

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Conversions

Conversions are the selected GA4 conversion events generated by those sessions.

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Avg. time

Avg. time uses GA4 average session duration for the AI-attributed traffic in scope. It is a duration, not a completion rate or a measure of how long every visitor actively read the content.

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Quick weekly checklist

  1. Rank engines by conversions first.
  2. Flag the biggest week-over-week loser.
  3. Assign one action per weak engine.
  4. Recheck impact in the next reporting cycle.

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Compare traffic with answer coverage

The rows describe attributed website sessions, not how many answers an engine generated about your brand. Conversions count selected GA4 event occurrences and can exceed the number of converting visitors. Avg. time is an aggregate engagement signal, not proof that each visitor read the page. With a small sample, inspect the destination pages and compare another period before reallocating work.

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How to use filters

  • Keep date range aligned with Overview.
  • Compare one engine hypothesis at a time.
  • Avoid changing multiple filters while diagnosing one issue.

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What to fix first

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Team routine

  1. Weekly: review engine winners and losers.
  2. Bi-weekly: compare conversion efficiency by engine.
  3. Monthly: rebalance effort by engine ROI.

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Keep in mind

  • Engine behavior can shift after model updates.
  • Volume leadership is not always value leadership.
  • Platform fit changes faster than quarterly planning cycles.

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Where to go next