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

71

Strong Presence

Avg Prompt Score

14

across 121 prompts

AI Share of Voice

7%

across 103 prompts

Critical Issues

6

critical + high

Per-stage performance

🔍Discovery
91 brand-level
Cited1%1/91
Share of voice0%avg
Engine consensus33%of engines
Competitors24.0avg/cited
Sentiment—no data
⚖️Evaluation
14 brand-level
Cited86%12/14
Share of voice74%avg
Engine consensus58%of engines
Competitors1.8avg/cited
Sentiment—no data
🛡️Trust
8 brand-level
Cited75%6/8
Share of voice54%avg
Engine consensus58%of engines
Competitors3.5avg/cited
Sentiment—no data
💰Conversion
8 brand-level
Cited75%6/8
Share of voice59%avg
Engine consensus67%of engines
Competitors3.3avg/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 Ashbyhq is visible in

1
  • Applicant Trackingnot yet measured→

Executive summary

Ashby is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 social proof (105 reviews, 4.7★) and first-party comparison pages like “Ashby vs Greenhouse” and “Ashby vs Lever.” The single highest-ROI fix is to strengthen structured data + technical crawlability for pricing/evaluation pages (SoftwareApplication/FAQPage/aggregateRating) so models can reliably extract “How much does Ashby cost?” and “Is Ashby worth it…” answers from Ashby’s own site.

Based on audit of ashbyhq.com · Apr 2, 2026

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