Relevance AI vs IBM

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

IBM leads in AI visibility (80 vs 40)

Relevance AI

EmergingAutomation

AI Workforce Platform

Relevance AI is an AI workforce platform from Sydney that lets businesses build and deploy AI agents and multi-agent teams for sales, support, and research.

AI VisibilityBeta
Overall Score
C40
Category Rank
#1 of 1
AI Consensus
90%
Trend
up
Per Platform
ChatGPT
49
Perplexity
47
Gemini
48

About

Relevance AI is an AI workforce platform that enables businesses to build custom AI agents — autonomous software workers configured for specific business roles — and deploy them as a coordinated multi-agent workforce that executes tasks across sales, customer support, research, and operations workflows. The platform's no-code agent builder allows non-technical users to define an agent's role, the tools it can use, the knowledge it has access to, and the decision-making logic that governs its behavior, assembling an autonomous worker without writing any code. Agents can be equipped with capabilities including web research, CRM interaction, email composition, document analysis, and API calls to external services, making each agent a self-contained functional unit capable of executing complex multi-step tasks.

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

40
Overall Score
80
#1
Category Rank
#56
90
AI Consensus
67
up
Trend
up
49
ChatGPT
74
47
Perplexity
71
48
Gemini
84
50
Claude
74
46
Grok
81

Capabilities & Ecosystem

Capabilities

Only Relevance AI
AI Workforce Platform
IBM is classified as company.

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