[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/IQMS
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

39

Limited Presence

Avg Prompt Score

20

across 101 prompts

AI Share of Voice

16%

across 85 prompts

Critical Issues

6

critical + high

Per-stage performance

🔍Discovery
85 category
Cited24%20/85
Share of voice21%avg
Engine consensus33%of engines
Competitors3.4avg/cited
Sentiment—no data
⚖️Evaluation
5 brand-level
Cited80%4/5
Share of voice80%avg
Engine consensus—
Competitors0.3avg/cited
Sentiment—no data
🛡️Trust
5 brand-level
Cited80%4/5
Share of voice80%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited17%1/6
Share of voice17%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data

Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.

Categories IQMS is visible in

1
  • Manufacturing Executionnot yet measured→

Executive summary

iqms.com is likely to be cited by AI engines for evaluation-stage queries primarily via third-party review surfaces (notably G2), but it is at high risk of under-citation for conversion/evaluation prompts like “IQMS pricing” and “IQMS vs competitor” because first-party crawlable comparison/pricing/structured-data signals were not found in live checks. Highest-ROI fix: publish/ensure crawlable first-party evaluation content (pricing + brand-led comparison pages) and add SoftwareApplication/FAQPage schema so AI engines can quote and recommend IQMS directly from iqms.com.

Based on audit of iqms.com · May 8, 2026

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