[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Slack
ProductCitation IndexAI InfluenceBlogBook
Claim profile →

AEO Score

72

Strong Presence

Avg Prompt Score

52

across 468 prompts

AI Share of Voice

53%

across 468 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
452 brand-level
Cited79%356/452
Share of voice51%avg
Engine consensus65%of engines
Competitors39.4avg/cited
Sentimentpositive11+ / 1~ / 0−
⚖️Evaluation
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors3.0avg/cited
Sentimentpositive4+ / 5~ / 0−
🛡️Trust
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.2avg/cited
Sentimentpositive4+ / 8~ / 0−
💰Conversion
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.0avg/cited
Sentimentneutral0+ / 12~ / 0−

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 Slack is visible in

8
  • Collaboration1 of 156→
  • Team Messaging1 of 48→
  • Office & Productivity3 of 182→
  • Workflow Automation4 of 203→
  • Knowledge Basenot yet measured→

Executive summary

Slack is highly likely to be cited by AI engines for evaluation and conversion queries because it has very strong third-party review authority (notably G2 and TrustRadius) and a publicly crawlable pricing page with explicit tiers/prices. The single highest-ROI fix is to improve first-party evaluation surfaces for comparison-style queries (e.g., ensure robust, brand-led “[Slack] vs [Competitor]” pages and FAQPage coverage for those evaluation intents), because robots.txt blocks key sections and can reduce crawlable depth for AI extraction.

Based on audit of slack.com · May 26, 2026

Built for The Citation Economy