Conga vs IBM

Side-by-side comparison of AI visibility scores, market position, and capabilities

Conga leads in AI visibility (92 vs 80)

Conga

LeaderRevenue Tech

Revenue Lifecycle Management

Revenue lifecycle management platform covering CPQ, CLM, and billing. Broomfield CO, raised $152M+, serves 11,000+ customers globally including 70% of Fortune 100 companies.

AI VisibilityBeta
Overall Score
A92
Category Rank
#1 of 1
AI Consensus
64%
Trend
up
Per Platform
ChatGPT
91
Perplexity
99
Gemini
99

About

Conga is a revenue lifecycle management platform that provides CPQ (Configure, Price, Quote), contract lifecycle management (CLM), and billing capabilities for enterprise B2B organizations. Founded in 2006 and headquartered in Broomfield, Colorado, the company has raised over $152 million in funding and serves more than 11,000 customers globally, including 70% of Fortune 100 companies. Conga helps enterprises automate and standardize the end-to-end revenue process from initial quote through contract execution and billing.\n\nConga's CPQ module automates complex product configuration, pricing, and quote generation for large enterprise sales teams. Its CLM solution manages contract creation, negotiation, approval, execution, and post-signature obligations across the full contract lifecycle. Conga's document automation capabilities — a legacy of its original Conga Composer product — allow enterprises to generate compliant, branded documents from Salesforce data at scale. The combined revenue lifecycle platform addresses the fragmentation between sales, legal, and finance teams in managing large B2B deal cycles.\n\nConga has built a strong Salesforce ecosystem position, with deep native integrations that make it the leading document and contract automation solution for Salesforce-centric enterprises. Its acquisition history — including Apttus (CPQ), Octiv (digital sales rooms), and others — assembled a comprehensive revenue operations platform under one roof. Conga's enterprise customer base reflects its strength in highly regulated industries including financial services, healthcare, and manufacturing where contract compliance and audit trails are critical.

Full profile

IBM

LeaderEnterprise Software

General

Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.

AI VisibilityBeta
Overall Score
A80
Category Rank
#56 of 1158
AI Consensus
67%
Trend
up
Per Platform
ChatGPT
74
Perplexity
71
Gemini
84

About

International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).

Full profile

AI Visibility Head-to-Head

92
Overall Score
80
#1
Category Rank
#56
64
AI Consensus
67
up
Trend
up
91
ChatGPT
74
99
Perplexity
71
99
Gemini
84
86
Claude
74
89
Grok
81

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