[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Re-Leased
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

11

Limited Presence

Avg Prompt Score

18

across 161 prompts

AI Share of Voice

18%

across 161 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
75 category
Cited5%4/75
Share of voice4%avg
Engine consensus33%of engines
Competitors11.0avg/cited
Sentiment—no data
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited100%5/5
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 Re-Leased is visible in

1
  • Real Estate & Property Managementnot yet measured→

Executive summary

Re-Leased is already strongly positioned for AI citation in evaluation-stage queries because it has a substantial G2 footprint (156 reviews, 4.6/5) and multiple first-party product pages plus a publicly accessible pricing page (Core/Pro/Enterprise, though pricing is largely “Request Pricing”). The biggest AI citation risk is conversion-stage and evaluation-stage “pricing/cost” and “SoftwareApplication/structured evaluation” queries: the site’s pricing is not clearly tier-priced, and SoftwareApplication/FAQPage/LLM crawl-directive signals were not found in live checks. Highest-ROI fix: add/verify SoftwareApplication + Product/Offer + FAQPage structured data on product/pricing pages and ensure crawlable, tier-level pricing content for AI to quote.

Based on audit of re-leased.com · May 7, 2026

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