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

71

Strong Presence

Avg Prompt Score

50

across 317 prompts

AI Share of Voice

49%

across 301 prompts

Category Visibility

#1

in Reverse ETL · of 32

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
185 brand-level
Cited77%142/185
Share of voice51%avg
Engine consensus66%of engines
Competitors38.6avg/cited
Sentiment—no data
⚖️Evaluation
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors1.8avg/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 Hightouch is visible in

2
  • Reverse ETL1 of 32→
  • Customer Data Platform6 of 96→

Executive summary

Hightouch is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (G2 shows 398 reviews) and enterprise analyst signaling (Gartner Peer Insights profile exists; Hightouch also promotes a Gartner Magic Quadrant Leader position). The single highest-ROI fix is to strengthen first-party evaluation content for “vs/alternatives/pricing” queries with crawlable, schema-rich pages (especially SoftwareApplication/FAQPage) so AI engines can cite Hightouch pages directly rather than relying on G2/third parties.

Based on audit of hightouch.com · Jul 12, 2026

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