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

0

Limited Presence

Avg Prompt Score

6

across 257 prompts

AI Share of Voice

6%

across 257 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
121 category
Cited2%3/121
Share of voice2%avg
Engine consensus33%of engines
Competitors9.7avg/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 Autobound is visible in

2
  • AI Sales Assistant112 of 123→
  • Sales Engagementnot yet measured→

Executive summary

Autobound.ai is a B2B GTM/sales intelligence platform with strong AI-citation inputs from G2 (notably high review volume and “Most Likely to Recommend” positioning). The biggest risk to appearing in evaluation/conversion answers is missing/unclear first-party structured evaluation surfaces (e.g., SoftwareApplication/FAQPage signals) and lack of evidence for secondary review/analyst profiles (Capterra/TrustRadius/Gartner Peer Insights). Highest-ROI fix: ensure crawlable, SSR-first structured pages for evaluation queries (pricing + integrations + “what it is/for whom” + comparison/alternatives) with SoftwareApplication + FAQPage markup.

Based on audit of autobound.ai · Jun 10, 2026

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