Sensei vs IBM

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

IBM leads in AI visibility (80 vs 37)

Sensei

EmergingData & Analytics

General

Sensei is an AI-powered retail analytics platform that transforms point-of-sale and sensor data into real-time shelf intelligence, helping retailers reduce out-of-stocks and optimize store performance.

AI VisibilityBeta
Overall Score
D37
Category Rank
#750 of 1158
AI Consensus
77%
Trend
up
Per Platform
ChatGPT
34
Perplexity
35
Gemini
38

About

Sensei is a retail intelligence company that uses computer vision, AI, and in-store sensor networks to give retailers real-time visibility into what is happening on their shelves and throughout their stores. Founded in Lisbon, Portugal, Sensei has developed technology that can be deployed in physical retail environments to track product availability, detect misplacements, measure traffic patterns, and generate actionable insights that help store teams and headquarters make faster, better-informed decisions.

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

37
Overall Score
80
#750
Category Rank
#56
77
AI Consensus
67
up
Trend
up
34
ChatGPT
74
35
Perplexity
71
38
Gemini
84
29
Claude
74
38
Grok
81

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