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

72

Strong Presence

Avg Prompt Score

47

across 517 prompts

AI Share of Voice

46%

across 501 prompts

Critical Issues

2

critical + high

Per-stage performance

🔍Discovery
426 category
Cited40%172/426
Share of voice37%avg
Engine consensus42%of engines
Competitors5.2avg/cited
Sentiment—no data
⚖️Evaluation
10 brand-level
Cited100%10/10
Share of voice100%avg
Engine consensus—
Competitors1.5avg/cited
Sentiment—no data
🛡️Trust
3 brand-level
Cited100%3/3
Share of voice100%avg
Engine consensus—
Competitors3.3avg/cited
Sentiment—no data
💰Conversion
3 brand-level
Cited100%3/3
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.

Categories Perplexity is visible in

2
  • AI Search9 of 59→
  • AI Applications22 of 117→

Executive summary

Perplexity is highly likely to be cited by AI engines for evaluation and conversion queries because it has strong G2 presence (277 reviews, 4.5★) and crawlable, tiered enterprise pricing pages. The biggest citation risk is evaluation-stage comparison coverage for purchase-intent prompts (e.g., “How does Perplexity compare to ChatGPT/Gemini/Claude/Microsoft Copilot?”) where first-party, indexable “[Perplexity] vs [Competitor]” pages must be comprehensive and consistently structured.

Based on audit of perplexity.ai · Jun 7, 2026

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