AI Visibility
measured31/100
Emerging · in ESG & Sustainability
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
11
across 603 prompts
AI Share of Voice
11%
across 603 prompts
Critical Issues
4
critical + high
Shortlist Position
0/80
Not Visible · Ai Chatbots Discovery
How AI Visibility breaks down
in ESG & Sustainability
Composite = 60% coverage + 40% engine breadth, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Per-stage performance
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 Iris is visible in
2Your visibility gap
Iris surfaces in 0/80 Ai Chatbots discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
Iris is strongly positioned for evaluation-stage citation because it has a high-rated G2 presence (4.9/5 on 66 reviews) and a crawlable pricing page with per-user pricing language. The biggest AI citation risk is category-level “best RFP software” and security-DDQ evaluation prompts that require first-party, indexable comparison/FAQ blocks; the highest-ROI fix is to add/ensure first-party, SSR-indexed pages that directly answer the exact prompts (especially the security questionnaire DDQ/SIG/CAIQ and Loopio/Responsive comparison queries) with self-contained answer blocks and schema.
Based on audit of heyiris.ai · May 7, 2026