[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/IBM Datacap
ProductCitation IndexAI InfluenceBlogBook

Other products from IBM

IBM Blueworks Live72IBM Operational Decision Manager (ODM)72IBM AIX72IBM OpenPages72IBM Databand72IBM watsonx.governance72+27 more
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AEO Score

66

Strong Presence

Avg Prompt Score

13

across 131 prompts

AI Share of Voice

17%

across 131 prompts

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
111 brand-level
Cited2%2/111
Share of voice2%avg
Engine consensus100%of engines
Competitors0.0avg/cited
Sentimentpositive4+ / 2~ / 0−
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors1.4avg/cited
Sentimentpositive8+ / 13~ / 0−
🛡️Trust
5 brand-level
Cited100%5/5
Share of voice93%avg
Engine consensus93%of engines
Competitors2.2avg/cited
Sentimentpositive2+ / 6~ / 0−
💰Conversion
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors2.3avg/cited
Sentimentneutral0+ / 12~ / 0−

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 IBM Datacap is visible in

1
  • Robotic Process Automationnot yet measured→

Executive summary

IBM is highly likely to be cited by AI engines for B2B evaluation queries because it has strong third-party review/award signals (e.g., G2 review pages and TrustRadius awards) and clear first-party pricing pages for multiple products. The highest-ROI fix is to strengthen crawlable, product-level structured data (SoftwareApplication/FAQPage) and ensure evaluation-intent pages (pricing + integrations + comparisons) are consistently SSR/crawlable so AI engines can quote specifics for “IBM pricing” and “IBM vs competitor” style prompts.

Based on audit of ibm.com · May 4, 2026

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