[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Siemens Smart Performance
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

59

Growing Presence

Avg Prompt Score

59

across 16 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited75%3/4
Share of voice75%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%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.

Executive summary

Siemens is highly likely to be cited by AI engines for B2B evaluation queries because it has strong third-party review presence for specific Siemens software products (e.g., Siemens Teamcenter on G2 with 924 reviews and 4.3/5). The single highest-ROI fix is to ensure Siemens software product pages (especially SaaS offerings like Teamcenter X) have evaluation-intent structured content (SoftwareApplication/FAQPage) and crawlable, tiered pricing that AI can quote—right now pricing is often “Request a quote/Try now” rather than fully public tier pricing.

Based on audit of siemens.com · May 6, 2026

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