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AI Search Prompts page with top cards and prompt-level performance table
Use this page to decide whether your tracked prompt set matches real buyer demand.

Important: Better prompt coverage beats higher prompt count. Focus on business-critical prompts first.

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Questions this page should answer

  1. Are we tracking the prompts that matter most for pipeline?
  2. Which prompts are underperforming right now?
  3. Which prompt gaps should become this sprint’s content work?

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Before you analyze

  • Review the active prompt list before judging performance.
  • Keep the same reporting window used in other AI Search pages.
  • Compare by intent category, not only by total rows.

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What this page gives you

  • Top prompt health indicators like average visibility and average position.
  • Prompt-level table with position, mention frequency, top results, and category.
  • Manage prompts flow with one add workspace that combines manual entry and AI-generated suggestions.
  • A decision layer to connect prompt gaps to page updates.

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How prompt data is collected

Atomic runs your tracked prompts daily across the AI platforms shown in your Generative engines report (for example ChatGPT, Claude, and Perplexity). We then compare patterns over time, because AI responses naturally vary day to day. These tracked prompts should be written as conversational questions (for example What's the best CRM for marketing agencies under 50 people?), not short keyword fragments. To mirror real buyer behavior, Atomic collects prompt results through AI product interfaces, not only via API outputs. This helps you measure what users are likely to see in real interactions. Why this matters:
  • Authentic experience: data reflects the same interface-level outputs users interact with.
  • Real-world accuracy: results are less abstract than API-only snapshots.
  • Broader coverage: you can track platforms and model flows with limited public API access.

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How to read the top cards

  • Avg. visibility percentage: average inclusion across tracked prompts.
  • Your avg position: average placement quality.
Use both:
  • Better position with low visibility means narrow coverage.
  • Visibility up with weak position means presence without competitiveness.

Key signal: Prioritize prompts where mention frequency is high but your average position is weak. Those are usually your fastest visibility gains.

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How these metrics are calculated (simple)

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Avg. visibility percentage

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Your avg position

Lower value is better (closer to top placement).

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Mention frequency

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How to read the prompt table

  • Your position: current placement for that prompt.
  • Mention frequency: how often your brand appears.
  • Top results: recurring sources shown in answers.
  • Category: funnel context.
Prioritize prompts that are high intent, high frequency, and weak in position.

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How to add new prompts

Use the top-right Manage prompts button on this page, then click Add prompt. The left sidebar shows current groups and how many prompt slots are already used versus your plan limit. Inside Add prompt, the current UI keeps both actions in one workspace:
  1. Add one prompt manually with stage and group controls at the top.
  2. Review AI-generated suggestions in the list below and add the ones you want.

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Add prompt workspace

Manage prompts add workspace with manual prompt fields at the top and suggested prompt list below
Use this workspace when you are updating the tracked prompt set, not only when you are adding suggestions. At the top of the panel you can:
  • Enter one prompt manually.
  • Set the funnel stage.
  • Let Atomic auto-detect the group or choose one yourself.
  • Click Add prompt to save the new tracked prompt.
Below that, Atomic shows suggested prompts with group, stage, and confidence. How suggestions are generated:
  • Atomic analyzes your project domain plus top AI search pages from the last 30 days.
  • The system generates prompt ideas across funnel categories (awareness, consideration, decision, branded).
  • Each suggestion includes a confidence score to help you prioritize.
How to use suggested prompts:
  1. Click Manage prompts.
  2. Click Add prompt.
  3. Review prompt text, group, stage, and confidence in the Suggested list.
  4. Use Generate suggestions when you want a fresh batch of ideas.
  5. Add the prompts that best match current pipeline goals.

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Manual entry

Manage prompts add workspace showing manual prompt textarea, stage selector, and Add prompt button
Use manual entry when you already know the exact prompt to track (for example from sales calls, campaign briefs, or competitor monitoring). How to add manually:
  1. Click Manage prompts.
  2. Click Add prompt.
  3. Enter one prompt in natural language.
  4. Set the stage and confirm or change the group.
  5. Click Add prompt.

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Quick weekly checklist

  1. Review decision-intent prompts first.
  2. Remove low-signal prompts that do not map to business goals.
  3. Add missing high-intent prompts from sales conversations.
  4. Assign one action per priority prompt.

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How to use filters

  • Use category filters to separate awareness and decision queries.
  • Use date range to confirm trend stability.
  • Change one filter at a time when diagnosing.

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What to fix first

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Team routine

  1. Weekly: refresh priority prompt backlog.
  2. Bi-weekly: audit category balance.
  3. Monthly: align prompt coverage with pipeline goals.

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Keep in mind

  • Prompt quality is more important than prompt count.
  • One viral query can distort short windows.
  • Repeated gaps are more important than one-off misses.

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Where to go next