[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Vuforia Engine
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

62

Growing Presence

Avg Prompt Score

20

across 124 prompts

AI Share of Voice

14%

across 108 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
107 category
Cited14%15/107
Share of voice13%avg
Engine consensus33%of engines
Competitors0.3avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.3avg/cited
Sentiment—no data
🛡️Trust
7 brand-level
Cited100%7/7
Share of voice100%avg
Engine consensus100%of engines
Competitors2.1avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors1.7avg/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 Vuforia Engine is visible in

1
  • 3D & CADnot yet measured→

Executive summary

PTC is very likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (2,096 reviews, 4.4/5) and meaningful analyst/enterprise review signals (Gartner Peer Insights pages exist; Gartner has 391 reviews with 4.4 average). The single highest-ROI fix is to strengthen first-party evaluation content for purchase-intent queries—specifically adding/expanding crawlable, brand-led “[Product] vs [Competitor]” pages and SoftwareApplication/FAQPage structured data on product pages—so AI can cite PTC directly instead of relying on third-party review sites.

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

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