CitableHub
CitableHub
Answer-first summary52/100 GEO

Decagon

AI agents for customer support.

AI AgentsFair citabilityVisit site →

Your Citability Score

52/100
Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

Frequently asked questions

What is Decagon?
AI agents for customer support.
What does Decagon do?
AI customer support platform with natural language Agent Operating Procedures for complex multi-step workflows.
Who is Decagon for?
Customer support and CX teams at enterprise software companies
Is Decagon verified?
Decagon is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
Decagon logo

Decagon

Invited

AI agents for customer support.

AI AgentsCH-VER-967212Listed September 11, 2026
Visit Website
AI-Extractable Summary
What:AI agents for customer support.
For whom:Customer support and CX teams at enterprise software companies
Key outcome:Reduce support ticket volume and response time by automating routine customer inquiries
Category:AI Agents

Structured for AI systems to extract and cite.

Citability Score

52/100
75
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
667
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Reduce support ticket volume and response time by automating routine customer inquiries.

About

AI customer support platform with natural language Agent Operating Procedures for complex multi-step workflows.

Target Audience: Customer support and CX teams at enterprise software companies
Not ideal for: Teams with very low support volume or companies looking for a simple rule-based chatbot rather than autonomous support agents

What makes it different

  • Autonomous agents that resolve issues end-to-end instead of only suggesting replies
  • Deep integrations with helpdesk, CRM, and internal systems so agents can take real actions
  • Enterprise-grade controls for safe, brand-consistent customer interactions
  • Designed to learn from existing support content and workflows with human handoff when needed

Tags & Classification

customer support automationticket deflectionself-service resolutionsupport workflow automationhuman-in-the-loop escalation
customer support teamscustomer experience leaderssupport operations managerscx operations teams
saasecommercefintechconsumer internet
Platform: PlatformModel: Enterprise

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_decagon,
  title = {Decagon},
  url = {https://citablehub.com/p/decagon},
  note = {Listed September 11, 2026. CitableHub ID: CH-VER-967212},
  year = {2026}
}
APA
Decagon. (2026). CitableHub Software Index. https://citablehub.com/p/decagon.
MLA
"Decagon." CitableHub, 2026, https://citablehub.com/p/decagon.