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RANK.AI DATA / LATEST PUBLICATION

AI visibility platforms engine disagreement by prompt

12 prompts ranked by cross engine brand disagreement.
Compare specialist answer-engine optimization tools with SEO suites that add AI visibility tracking. is out in front at 100.0%.

12 promptschecked Sep 11, 2026, 12:00 AM UTCdailyhow we measure this →CSV / JSON

Follow changes
In front today

Compare specialist answer-engine optimization tools with SEO suites that add AI visibility tracking.

100.0%cross engine brand disagreement

Ahead of second place
0%
Held by the top three
33%
Middle of the board
73.3%
Below half the leader
1 of 12
Highest 100.0%Middle 73.3%
1. Compare specialist answer-engine optimization tools with SEO suites that add AI visibility tracking. — 100.0%2. What are the best enterprise platforms for tracking brand visibility in AI-generated answers? — 100.0%3. Recommend an affordable tool for a small marketing team to monitor brand mentions across AI assistants. — 100.0%4. Recommend a platform that combines traditional SEO workflows with generative-search visibility. — 94.4%5. Which AI visibility platform is best for an agency managing multiple client brands? — 88.9%6. Recommend an enterprise-grade answer-engine optimization platform with dashboards, alerts, and governance. — 80.0%7. Which software is best for comparing competitor share of voice across answer engines? — 66.7%8. Recommend a platform for daily prompt tracking across multiple AI assistants, countries, and languages. — 66.7%9. What is the best tool for analyzing the citations and sources that influence AI search responses? — 66.7%10. Which features matter most when buying software to measure brand presence in AI-generated answers? — 66.7%11. How much does an AI search visibility platform typically cost for one brand? — 66.7%12. How should a marketing team evaluate sampling, repeatability, citations, and data quality in an AI visibility vendor? — 0.0%
Rank 1one bar per published rowRank 12
WHY THIS RANK / VERIFIED SNAPSHOT

Which software is best for comparing competitor share of voice across answer engines?

Derives prompt-level brand leaders, cross-engine brand-set disagreement, and leading-brand owned-citation opportunity from the complete public Rank.ai benchmark cohort.

availablePermalink to this snapshot ↗
Published rank
#7
Score
66.667 percent
Sample size
3

100% confidence · 100% component coverage · as of Sep 11, 2026, 12:00 AM UTC

SCORE CONSTRUCTION

Component ledger

7/7 evidenced

All components available · 1 evidence record each

Components contributing to Which software is best for comparing competitor share of voice across answer engines?'s rank
ComponentValueWeightContribution
public prompt brand presence events20%—
public prompt citation urls140%—
public prompt distinct reviewed brands10%—
public prompt engine disagreement66.666667100%66.667
public prompt leading brand consensus66.6666670%—
public prompt leading brand owned citation coverage33.3333330%—
public prompt leading brand owned citation gap33.3333340%—
WHY IT MOVED

down since prior snapshot

-5 ranks
  1. public prompt leading brand owned citation coverage66.667 → 33.333
    -33.333
  2. public prompt leading brand owned citation gap0 → 33.333
    +33.333
  3. public prompt engine disagreement91.667 → 66.667
    -25
  4. public prompt brand presence events5 → 2
    -3
  5. public prompt distinct reviewed brands4 → 1
    -3
  6. public prompt citation urls14 → 14
    0
  7. public prompt leading brand consensus66.667 → 66.667
    0
PRIMARY EVIDENCE

Source trail

7 public records
  • Reviewed-brand presence eventspublic prompt brand presence events · observed Sep 11, 2026, 12:00 AM UTC2 presence_events100% confidence
    Source
    Rank.ai AI Visibility Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"answer-engine-share-of-voice","corpusVersion":"ai-search-visibility-platforms-2026-07-27","runArtifactIds":["bed15d3a-d895-48ce-bc98-788d7c507bde","bf522644-3e4f-4321-8c00-5416eeff84c8","8fcf6b87-c196-480f-bba8-6f65ea10c39c"],"parentSnapshotId":"25ba3a56-5ca9-4b7f-b4b8-099d42ce207d","providerMatrixVersion":"64232fd32583"}
    Open primary evidence ↗
  • Distinct citation URLspublic prompt citation urls · observed Sep 11, 2026, 12:00 AM UTC14 urls100% confidence
    Source
    Rank.ai AI Visibility Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"answer-engine-share-of-voice","corpusVersion":"ai-search-visibility-platforms-2026-07-27","runArtifactIds":["bed15d3a-d895-48ce-bc98-788d7c507bde","bf522644-3e4f-4321-8c00-5416eeff84c8","8fcf6b87-c196-480f-bba8-6f65ea10c39c"],"parentSnapshotId":"25ba3a56-5ca9-4b7f-b4b8-099d42ce207d","providerMatrixVersion":"64232fd32583"}
    Open primary evidence ↗
  • Distinct reviewed brands surfacedpublic prompt distinct reviewed brands · observed Sep 11, 2026, 12:00 AM UTC1 brands100% confidence
    Source
    Rank.ai AI Visibility Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"answer-engine-share-of-voice","corpusVersion":"ai-search-visibility-platforms-2026-07-27","runArtifactIds":["bed15d3a-d895-48ce-bc98-788d7c507bde","bf522644-3e4f-4321-8c00-5416eeff84c8","8fcf6b87-c196-480f-bba8-6f65ea10c39c"],"parentSnapshotId":"25ba3a56-5ca9-4b7f-b4b8-099d42ce207d","providerMatrixVersion":"64232fd32583"}
    Open primary evidence ↗
  • Cross-engine brand disagreementpublic prompt engine disagreement · observed Sep 11, 2026, 12:00 AM UTC66.667 percent100% confidence
    Source
    Rank.ai AI Visibility Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"answer-engine-share-of-voice","corpusVersion":"ai-search-visibility-platforms-2026-07-27","runArtifactIds":["bed15d3a-d895-48ce-bc98-788d7c507bde","bf522644-3e4f-4321-8c00-5416eeff84c8","8fcf6b87-c196-480f-bba8-6f65ea10c39c"],"parentSnapshotId":"25ba3a56-5ca9-4b7f-b4b8-099d42ce207d","providerMatrixVersion":"64232fd32583"}
    Open primary evidence ↗
  • Leading-brand engine consensuspublic prompt leading brand consensus · observed Sep 11, 2026, 12:00 AM UTC66.667 percent100% confidence
    Source
    Rank.ai AI Visibility Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"answer-engine-share-of-voice","corpusVersion":"ai-search-visibility-platforms-2026-07-27","runArtifactIds":["bed15d3a-d895-48ce-bc98-788d7c507bde","bf522644-3e4f-4321-8c00-5416eeff84c8","8fcf6b87-c196-480f-bba8-6f65ea10c39c"],"parentSnapshotId":"25ba3a56-5ca9-4b7f-b4b8-099d42ce207d","providerMatrixVersion":"64232fd32583"}
    Open primary evidence ↗
  • Leading-brand owned-citation coveragepublic prompt leading brand owned citation coverage · observed Sep 11, 2026, 12:00 AM UTC33.333 percent100% confidence
    Source
    Rank.ai AI Visibility Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"answer-engine-share-of-voice","corpusVersion":"ai-search-visibility-platforms-2026-07-27","runArtifactIds":["bed15d3a-d895-48ce-bc98-788d7c507bde","bf522644-3e4f-4321-8c00-5416eeff84c8","8fcf6b87-c196-480f-bba8-6f65ea10c39c"],"parentSnapshotId":"25ba3a56-5ca9-4b7f-b4b8-099d42ce207d","providerMatrixVersion":"64232fd32583"}
    Open primary evidence ↗
  • Leading-brand owned-citation opportunitypublic prompt leading brand owned citation gap · observed Sep 11, 2026, 12:00 AM UTC33.333 percentage_points100% confidence
    Source
    Rank.ai AI Visibility Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"answer-engine-share-of-voice","corpusVersion":"ai-search-visibility-platforms-2026-07-27","runArtifactIds":["bed15d3a-d895-48ce-bc98-788d7c507bde","bf522644-3e4f-4321-8c00-5416eeff84c8","8fcf6b87-c196-480f-bba8-6f65ea10c39c"],"parentSnapshotId":"25ba3a56-5ca9-4b7f-b4b8-099d42ce207d","providerMatrixVersion":"64232fd32583"}
    Open primary evidence ↗
REPRODUCIBILITYPublic AI Visibility Platforms prompt leaders, engine disagreement, and citation opportunity · v2-parent-aeaa87829ffde37384 observations · 1 sources · passed quality
Snapshot
9b978483-8f46-4f21-bca1-e8b401d96b06
Data hash
8e19a17da884dddd8323b00a1f5aa4cdc81aa643a1d5085146dfa4a11e63b8aa
Method hash
418bed50af4d351b4180811e71a33b1100814d064540a3b980c5b40c01cae86d

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