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AI Search Mentions page with mention and backlink opportunity data
Use this page to review external AI citation sources through a mentions lens. It helps you separate sources that already mention your brand from sources that still represent an authority gap.

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Questions this page should answer

  1. Which sources already mention our brand?
  2. Where are we missing backlinks or citation coverage?
  3. Which mention gaps should we prioritize first?

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Before you analyze

  • Keep the same date range as Citations and Visibility.
  • Start with all platforms before filtering to one engine.
  • Use prompt and topic filters when checking a specific narrative gap.

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What this page gives you

  • Mention and non-mention source rows from AI citation data.
  • Filters for platform, prompt, topic, and source type.
  • A direct way to spot existing brand coverage versus missing opportunities.

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Mentions tab

Review third-party cited pages where Atomic has found brand coverage. The table shows citation URLs, prompt context, citation share, and source type. Check the actual page and surrounding claim before reusing it as evidence. Own-site citations are handled separately from third-party mention opportunities.
Mentions report with Mentions selected and illustrative local citation rows

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Missing tab

Find cited third-party pages where brand coverage has not been established. Missing is an opportunity for investigation, not a guarantee that outreach is appropriate or that the page should mention you. Prioritize relevant sources and verify the page before assigning work.
Mentions report with Missing selected
The screenshots use illustrative local data. Page coverage compares mentioned and missing pages in the selected scope; it is different from the ranked-answer mention percentage in AI search metrics.

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How to read mention rows

Read each row as a source opportunity, not just a backlink lead.
  • Source: the domain or page appearing in AI citation context.
  • Mention status: whether your brand is already mentioned.
  • Prompt/topic: where the source appeared.
  • Platform: the AI engine context where the source was observed.
  • Source type: the kind of site or content you may need to influence.
Use this rule:
  • Existing mentions reveal proof patterns worth repeating.
  • Missing mentions on high-value prompts deserve outreach or stronger source-backed content.
  • Missing mentions on low-value prompts should not distract from strategic authority work.

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How these metrics are calculated (simple)

Use this page with Citations to understand both source presence and brand inclusion.

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How to use this page

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Prioritize strategic missing mentions

Missing mentions on high-value prompts matter more than isolated misses on low-value topics. Focus on gaps tied to commercial or high-trust topics first.

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Check the source type before acting

Editorial, institutional, reference, and corporate sources usually deserve a different outreach or content strategy than UGC sources.

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Use mention wins as proof patterns

When a source already mentions you, inspect what kind of page or evidence got picked up. That pattern often tells you what to expand next.

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Quick weekly checklist

  1. Filter to your highest-priority prompt or topic.
  2. Flag sources where competitors are present and you are missing.
  3. Flag strong mention wins worth replicating.
  4. Turn the top 3 gaps into outreach or content proof actions.

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What to fix first

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Team routine

  1. Weekly: review high-value missing mentions.
  2. Bi-weekly: turn the best gaps into outreach or proof-building work.
  3. Monthly: compare mention wins with citation share and visibility changes.

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Keep in mind

  • Not every missing mention is worth chasing.
  • A strong mention on one source does not guarantee broader authority.
  • Use this page with Citations, not instead of Citations.

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Where to go next