[unCited]
ProductCitation IndexBlogBook
[unCited]/Toggl
ProductCitation IndexBlogBook
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AEO Score

67

Strong Presence

Avg Prompt Score

82

across 29 prompts

AI Share of Voice

100%

across 13 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
4 prompts
Cited100%4/4
Share of voice100%avg
Engine consensus0%of engines
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
4 prompts
Cited100%4/4
Share of voice100%avg
Engine consensus0%of engines
Competitors0.0avg/cited
Sentiment—no data
🛡️Trust
4 prompts
Cited100%4/4
Share of voice100%avg
Engine consensus0%of engines
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
4 prompts
Cited100%4/4
Share of voice100%avg
Engine consensus0%of engines
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

toggl.com is very likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence on G2 (1,642+ reviews for Toggl Track) and publicly crawlable, tiered pricing pages (e.g., $0/$9/$18 per user per month). The single highest-ROI fix is to strengthen first-party evaluation surfaces for AI (SoftwareApplication/FAQPage structured data + ensure first-party “[Toggl] vs [Competitor]” pages are indexed and lead with Toggl as the recommended solution).

Based on audit of toggl.com · May 7, 2026

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