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Decagon
Decagon
Visibility10
Vibe88
Businesses/Artificial Intelligence/Decagon
Decagon
AI Visibility & Sentiment

Decagon

Decagon is an AI-powered customer service platform that enables enterprises to build, optimize, and scale AI agents across voice, chat, and email channels. The company helps leading brands deliver personalized concierge experiences while achieving significant cost reductions and improved resolution rates.

Active Monitoring
decagon.ai
Artificial Intelligence
AI Visibility Score
10/100

Invisible

Sentiment Score
88/100
Score by Priority

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core
10
adjacent
0
aspirational
0
OverviewLandscapeInsights & ActionsContent IdeasConversationsCitationsBrand Voice

Is this your business?

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Decagon today.

Decagon currently occupies a paradoxical position where it is recognized as a specific entity upon direct inquiry but remains fundamentally absent from the critical decision-making conversations where enterprise buyers seek alternatives to legacy providers. While the brand is surfacing within specialized discussions on Claude, it is failing to capture the intent-driven traffic from operations managers and infrastructure architects currently favoring Zendesk and Intercom.

Working in your favor

Successfully established brand identity recognition on ChatGPT, Claude, and Gemini when users explicitly query the brand name.

Achieved moderate success surfacing in Claude for specific 'Modernizing Omnichannel Support' and 'Evaluating Enterprise AI' use cases.

Gaining traction in the 'Budget-Minded Operations Manager' persona segment, outperforming other segments in mention rate.

Gaps to close

Complete lack of visibility in high-intent 'Scaling Enterprise Customer Support Infrastructure' queries where competitors are firmly established.

Absence of brand presence in ChatGPT and Gemini for solution-based queries despite high visibility for competitor incumbents.

Failure to reach the 'Technical Infrastructure Architect' persona, who currently views Decagon as non-existent in the evaluation landscape.

Opportunities

Capitalize on the existing neutral sentiment by deploying high-authority thought leadership around enterprise scaling and AOPs.

Bridge the 'mention gap' by optimizing content for the specific terminology used by enterprise decision-makers currently searching for Zendesk and Intercom alternatives.

Target high-intent technical documentation that addresses the 'memory' and 'voice agent' requirements currently driving traffic to Claude.

Highest-Impact Actions
1

Develop and syndicate technical whitepapers focused on scaling enterprise support from 50 to 500+ agents.

Decagon has zero visibility in the 'Scaling Enterprise Customer Support' query space, which is the most critical growth vector for enterprise AI adoption.

2

Optimize content assets to explicitly position Decagon as the premier 'Enterprise AI Alternative' to Zendesk and Intercom.

Competitors are dominating the 'evaluation' phase of the buyer journey; aligning with these search terms is the fastest route to capturing intent.

3

Implement a technical SEO strategy targeting LLM-specific search queries regarding 'agent operating procedures' and 'memory-based AI workflows'.

These queries represent the 'Technical Infrastructure Architect' persona, a segment where Decagon currently has no footprint.

Value Proposition

Build, optimize, and scale AI agents that treat every customer like the only one, delivering concierge-level experiences with measurable ROI including high deflection rates, cost reductions, and improved customer satisfaction.

Overview

Decagon is an AI-powered customer service platform that enables enterprises to build, optimize, and scale AI agents across voice, chat, and email channels. The company helps leading brands deliver personalized concierge experiences while achieving significant cost reductions and improved resolution rates.

Mission

Powering concierge experiences for the world's leading enterprises, treating every customer interaction as unique and valuable.

Products & Services
AI Voice Agents for customer serviceAI Chat Agents with cross-channel memoryAI Email AutomationAgent Operating Procedures (AOPs) for workflow configurationAnalytics and Insights Platform
Current State

Visibility Landscape

A high-level view of how Decagon performs across AI platforms, broken down by strategic priority level — from core brand queries to growth opportunities.

ChatGPTChatGPT
ClaudeClaude
GeminiGemini
AI OverviewsAI Overviews

Reputation1q

Brand recognition & direct queries

70
97
97
97
“What do you know about Decagon? What do they do and what's their reputation?”
#10
#1
#1
#1

Core3q

Product/service category queries

—
78
0
23
“I need an AI solution that keeps memory of customer interactions across email and chat, which tools handle this well”
—
#5
No
#13
“alternatives to zendesk and intercom for enterprise companies that want more advanced AI orchestration”
—
#8
No
No
“what platforms offer AI voice agents for enterprise customer support that actually sound human”
—
#9
No
No

Growth Areas2q

Adjacent, aspirational & visionary

0
0
0
0
“how do I scale my customer service team from 50 to 500 agents without just hiring more people, what tech should I look at”
No
No
No
No
“how do I build agent operating procedures for an AI chatbot so it follows my internal company policies”
No
No
No
No
ChatGPT
Claude
Gemini
AI Overviews

“What do you know about Decagon? What do they do and what's their reputation?”

ChatGPT#10
Claude#1
Gemini#1
AI Overviews#1

“I need an AI solution that keeps memory of customer interactions across email and chat, which tools handle this well”

ChatGPT—
Claude#5
GeminiNo
AI Overviews#13

“alternatives to zendesk and intercom for enterprise companies that want more advanced AI orchestration”

ChatGPT—
Claude#8
GeminiNo
AI OverviewsNo

“what platforms offer AI voice agents for enterprise customer support that actually sound human”

ChatGPT—
Claude#9
GeminiNo
AI OverviewsNo

“how do I scale my customer service team from 50 to 500 agents without just hiring more people, what tech should I look at”

ChatGPTNo
ClaudeNo
GeminiNo
AI OverviewsNo

“how do I build agent operating procedures for an AI chatbot so it follows my internal company policies”

ChatGPTNo
ClaudeNo
GeminiNo
AI OverviewsNo
Competitive Landscape
1
Zendesk
29 mentions
2
Intercom
28 mentions
3
Ada
19 mentions
4
Salesforce Service Cloud
15 mentions
5
Kustomer
14 mentions
6
Salesforce
11 mentions
7
Freshdesk
9 mentions
8
HubSpot Service Hub
9 mentions
9
Crescendo.ai
9 mentions
10
Observe.ai
8 mentions
11
Decagon
4 mentions
Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Decagon's AI visibility.

Key Findings

Strength

Successfully established brand identity recognition on ChatGPT, Claude, and Gemini when users explicitly query the brand name.

Strength

Achieved moderate success surfacing in Claude for specific 'Modernizing Omnichannel Support' and 'Evaluating Enterprise AI' use cases.

Strength

Gaining traction in the 'Budget-Minded Operations Manager' persona segment, outperforming other segments in mention rate.

Recommended Actions

1

Develop and syndicate technical whitepapers focused on scaling enterprise support from 50 to 500+ agents.

Decagon has zero visibility in the 'Scaling Enterprise Customer Support' query space, which is the most critical growth vector for enterprise AI adoption.

2

Optimize content assets to explicitly position Decagon as the premier 'Enterprise AI Alternative' to Zendesk and Intercom.

Competitors are dominating the 'evaluation' phase of the buyer journey; aligning with these search terms is the fastest route to capturing intent.

3

Implement a technical SEO strategy targeting LLM-specific search queries regarding 'agent operating procedures' and 'memory-based AI workflows'.

These queries represent the 'Technical Infrastructure Architect' persona, a segment where Decagon currently has no footprint.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Scaling Enterprise Customer Support Infrastructure(2 queries)

“how do I scale my customer service team from 50 to 500 agents without just hiring more people, what tech should I look at”

0/4 platforms mentioned

Aspirational
ChatGPTChatGPT
1.Zendesk Guide
2.Intercom Articles
3.Freshdesk Knowledge Base
4.Confluence
5.Rasa

+38 more

ClaudeClaude
1.Zendesk
2.Answer Bot
3.Salesforce Service Cloud
4.Einstein AI
5.Gainsight

+2 more

GeminiGemini
1.Intercom
2.Zendesk
3.Drift
4.Confluence
5.Guru

+20 more

AI OverviewsAI Overviews
1.Xima Software
2.Replicant
3.Intercom
4.SearchUnify
5.Zendesk AI

+8 more

“what platforms offer AI voice agents for enterprise customer support that actually sound human”

1/3 platforms mentioned

Core
The Strategic Customer Experience Lead · Director of Customer Experience
ClaudeClaude
1.Retell AI
2.Cresta
3.Assembled
4.Bland AI
5.Samsara
9.Decagon

+3 more

GeminiGemini
1.Cresta
2.Thoughtly
3.Google Dialogflow CX
4.Contact Center AI
5.Bland AI

+7 more

AI OverviewsAI Overviews
1.PolyAI
2.Retell AI
3.Sierra AI
4.Bland AI
5.ElevenLabs
Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

Top AI Tools for Scalable Customer Success in 2025

everafter.ai

Web1 ref

How to Scale Customer Service with AI Agents in 2025 | CX Leaders Guide

searchunify.com

Web1 ref

Customer service trends 2025: Brands balance on digital beam of AI hype versus customer trust

the-future-of-commerce.com

Web1 ref

The Future of AI in Customer Support: Trends for 2025 & beyond

text.com

Web1 ref

Gartner Predicts Agentic AI Will Autonomously Resolve 80% of Common Customer Service Issues Without Human Intervention by 2029

gartner.com

Web1 ref

The Leading AI Trends Powering Customer Service In 2025 And Beyond

thinkowl.com

Web1 ref

Top AI customer service software platforms in 2025: Compare features, pricing, and benefits

monday.com

Web1 ref

50+ Customer Support Statistics & Trends for 2025 | Pylon

usepylon.com

Web1 ref

9 Future Trends of AI-Powered Customer Support that Will Change the Game | ROI CX Solutions

roicallcentersolutions.com

Web1 ref

Future of AI in Customer Service: Its Impact beyond 2025

devrev.ai

Web1 ref

9 Tips for Scaling Customer Support Without Hiring More Staff

edesk.com

Web1 ref

Scale Customer Support Without Hiring | Yoroflow Blogs

blogs.yoroflow.com

Web1 ref

How to Scale Customer Service Without Adding Headcount

replicant.com

Web1 ref

How to Scale Customer Support Without Hiring In-House in 2025

cheaperteam.com

Web1 ref

8 Best Customer Success Software for SaaS Companies | 2026

crescendo.ai

Web1 ref
Brand Identity

Brand Voice & Style

How AI perceives Decagon's communication style and personality

Decagon communicates with confident authority backed by impressive metrics and enterprise credibility. The brand voice balances technical sophistication with accessibility, using clear language to explain complex AI concepts. There's an underlying tone of premium quality and exclusivity, positioning their solution as the choice for 'world's leading enterprises.' The messaging emphasizes tangible business outcomes and ROI while maintaining a forward-thinking, innovative perspective.

Core Tone Traits

Confidently Authoritative

Speaks with certainty backed by impressive metrics and enterprise client logos

Results-Oriented

Consistently emphasizes measurable outcomes like deflection rates, cost reductions, and CSAT scores

Premium & Enterprise-Grade

Positions as the sophisticated choice for leading global brands

Technically Accessible

Explains complex AI concepts in clear, business-friendly language

Visual Identity

Primary

#131313

Secondary

#8B5CF6

Accent

#E8E0F0

Background

#FFFFFF

Foreground

#111111

Backing

Investors

F
Forerunner

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned March 5, 2026.

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Frequently asked questions

Don't see your question? Book a demo and we'll walk you through it.

Decagon is an AI-powered customer service platform that enables enterprises to build, optimize, and scale AI agents across voice, chat, and email channels. The company helps leading brands deliver personalized concierge experiences while achieving significant cost reductions and improved resolution rates.

Build, optimize, and scale AI agents that treat every customer like the only one, delivering concierge-level experiences with measurable ROI including high deflection rates, cost reductions, and improved customer satisfaction.

AI Visibility Score

Decagon has an AI visibility score of 10/100, rated as invisible. This score reflects how often and how prominently Decagon appears in responses from AI assistants like ChatGPT, Claude, and Gemini.

AI Perception Summary

Decagon currently occupies a paradoxical position where it is recognized as a specific entity upon direct inquiry but remains fundamentally absent from the critical decision-making conversations where enterprise buyers seek alternatives to legacy providers. While the brand is surfacing within specialized discussions on Claude, it is failing to capture the intent-driven traffic from operations managers and infrastructure architects currently favoring Zendesk and Intercom.

Strengths

  • Successfully established brand identity recognition on ChatGPT, Claude, and Gemini when users explicitly query the brand name.
  • Achieved moderate success surfacing in Claude for specific 'Modernizing Omnichannel Support' and 'Evaluating Enterprise AI' use cases.
  • Gaining traction in the 'Budget-Minded Operations Manager' persona segment, outperforming other segments in mention rate.

Visibility Gaps

  • Complete lack of visibility in high-intent 'Scaling Enterprise Customer Support Infrastructure' queries where competitors are firmly established.
  • Absence of brand presence in ChatGPT and Gemini for solution-based queries despite high visibility for competitor incumbents.
  • Failure to reach the 'Technical Infrastructure Architect' persona, who currently views Decagon as non-existent in the evaluation landscape.

Competitors in AI Recommendations

  • Zendesk: 29 mentions
  • Intercom: 28 mentions
  • Ada: 19 mentions
  • Salesforce Service Cloud: 15 mentions
  • Kustomer: 14 mentions
  • Salesforce: 11 mentions
  • Freshdesk: 9 mentions
  • HubSpot Service Hub: 9 mentions
  • Crescendo.ai: 9 mentions
  • Observe.ai: 8 mentions
  • Forethought: 8 mentions
  • Pylon: 8 mentions
  • Zapier: 8 mentions
  • Retell AI: 8 mentions
  • Bland AI: 8 mentions

Categories: Artificial Intelligence