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

0

Limited Presence

Avg Prompt Score

7

across 407 prompts

AI Share of Voice

7%

across 407 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
217 category
Cited7%15/217
Share of voice7%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/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 Kameleoon is visible in

3
  • Marketing Analyticsnot yet measured→
  • Marketing Automationnot yet measured→
  • Product Experiencenot yet measured→

Executive summary

Kameleoon is a B2B experimentation/personalization SaaS with strong AI-citation foundations from G2 and TrustRadius (G2 shows 137 reviews; TrustRadius shows 101 reviews). The biggest AI citation risk is conversion-stage evaluation queries that require crawlable, structured pricing and product schema—your pricing exists (e.g., /plans) but there’s no evidence from search that it’s exposed in a way AI engines can reliably extract (e.g., SoftwareApplication/Product+Offer/FAQPage/AggregateRating). Highest-ROI fix: ensure pricing is fully crawlable/SSR with explicit tiers/prices and add/verify SoftwareApplication + Product/Offer + FAQPage structured data across plans and evaluation pages.

Based on audit of kameleoon.com · Jun 9, 2026

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