Pendium
IBM
IBM
Visibility17
Vibe91
Businesses/Technology/IBM
IBM
AI Visibility & Sentiment

IBM

IBM is a global technology and consulting company that provides enterprise solutions in artificial intelligence, cloud computing, cybersecurity, and quantum computing. Through its Think platform and extensive research capabilities, IBM helps businesses transform through cutting-edge technology and thought leadership.

Active Monitoring
ibm.com/think
AI Visibility Score
17/100

Invisible

Sentiment Score
91/100
AI Perception

Summary

IBM suffers from a profound 'legacy paradox' where it maintains perfect brand recognition in direct searches but vanishes entirely from the high-stakes strategic AI conversations that drive enterprise adoption. While Claude identifies IBM as a premier solution for navigating complex legacy system integrations, the brand is alarmingly absent from CEO and CFO-level queries regarding AI ROI, board communication, and scaling beyond pilot phases.

Value Proposition

IBM delivers trusted, enterprise-grade AI and technology solutions that help businesses create smarter operations, with a focus on responsible AI, hybrid cloud infrastructure, and emerging technologies like quantum computing

Overview

IBM is a global technology and consulting company that provides enterprise solutions in artificial intelligence, cloud computing, cybersecurity, and quantum computing. Through its Think platform and extensive research capabilities, IBM helps businesses transform through cutting-edge technology and thought leadership.

Mission

Let's create smarter business

Products & Services
Artificial Intelligence & AI Agents (watsonx)Hybrid Cloud InfrastructureCybersecurity SolutionsQuantum ComputingConsulting Services
Agent Breakdown

AI Platforms

How often do different AI platforms reference IBM?

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Conversation Analysis

Topics

What conversations is IBM included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend IBM to, and when?

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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
AI Leadership Strategy Alignment(17 queries)

Why are so many companies spending millions on AI and still not seeing any real business results?

0/4 platforms mentioned

ChatGPTChatGPT
1.Microsoft Copilot
2.Salesforce Einstein
3.Databricks
4.Netflix
ClaudeClaude
1.MIT
GeminiGemini
1.Gartner
2.McKinsey
3.MIT
4.CRM
5.ERP

+13 more

AI OverviewsAI Overviews
1.MIT
2.Gartner
3.Forbes
4.CNN

How do I know if my company's AI strategy is actually aligned across the leadership team or if we just think it is?

0/4 platforms mentioned

ChatGPTChatGPT

No brands listed

ClaudeClaude

No brands listed

GeminiGemini
1.Apptio
2.Flexera
3.Credo AI
4.Arthur
5.Gartner

+2 more

AI OverviewsAI Overviews
1.Direction – Alignment – Commitment (DAC)™
2.Eightfold AI

What's the real difference between companies that are winning with AI and the ones that are falling behind?

0/4 platforms mentioned

ChatGPTChatGPT

No brands listed

ClaudeClaude

No brands listed

GeminiGemini
1.Credo AI
2.Gloat
3.Eightfold.ai
4.Glean
5.Slack

+4 more

AI OverviewsAI Overviews

No brands listed

As a CEO, how do I explain to my board why our AI investments haven't delivered yet without losing credibility?

0/4 platforms mentioned

ChatGPTChatGPT

No brands listed

ClaudeClaude
1.McKinsey
GeminiGemini
1.GitHub Copilot
2.Databricks
3.Snowflake
4.Visier
5.Microsoft Viva Insights

+2 more

AI OverviewsAI Overviews

No brands listed

Our IT systems are a patchwork of vendors and legacy tools — is that actually hurting our ability to use AI effectively?

1/4 platforms mentioned

ChatGPTChatGPT
1.Snowflake
2.Databricks
3.BigQuery
4.Informatica
5.Reltio

+6 more

ClaudeClaude
1.IBM
2.BCG
GeminiGemini
1.Snowflake
2.Databricks
3.MuleSoft
4.Workato
5.Credo AI

+7 more

AI OverviewsAI Overviews

No brands listed

How are other COOs handling AI adoption when their operations are already stretched thin and there's no room for disruption?

0/4 platforms mentioned

ChatGPTChatGPT
1.Microsoft Copilot
2.Google Gemini
3.ServiceNow
4.Salesforce
5.SAP

+1 more

ClaudeClaude
1.Johnson & Johnson
2.McKinsey
GeminiGemini
1.Microsoft 365 Copilot
2.Excel
3.Outlook
4.Salesforce Einstein
5.SAP Joule

+15 more

AI OverviewsAI Overviews
1.COO Forum
2.Wizata

My finance team still closes the books manually every quarter — what are other CFOs doing to modernize without breaking everything?

0/4 platforms mentioned

ChatGPTChatGPT
1.BlackLine
2.Trintech Cadency
3.FloQast
4.Oracle Account Reconciliation Cloud
5.SAP S/4HANA

+14 more

ClaudeClaude
1.Gartner
2.BlackLine
3.Trintech
4.Cadency
5.OneStream

+5 more

GeminiGemini
1.SAP
2.Oracle
3.Workday
4.BlackLine
5.FloQast

+7 more

AI OverviewsAI Overviews
1.Payhawk
2.Numeric
3.NetSuite
4.NetClose
5.Netgain

+7 more

What does a governance framework for enterprise AI actually look like in practice — not in theory?

2/4 platforms mentioned

ChatGPTChatGPT
1.MLflow
2.Databricks Model Registry
3.Collibra
4.Alation
5.IBM Watson OpenScale

+1 more

ClaudeClaude

No brands listed

GeminiGemini
1.GPT-4o
2.Claude 3.5
3.Phenom
4.Eightfold
5.Credo AI
7.IBM OpenScale

+3 more

AI OverviewsAI Overviews
1.Liminal AI
2.NICE
3.Rubrik Agent Cloud
4.Informatica IDMC

How do AI agents for IT operations actually compare to just hiring more support staff or outsourcing helpdesk?

0/4 platforms mentioned

ChatGPTChatGPT
1.ServiceNow Virtual Agent
2.Moveworks
3.Aisera
4.Microsoft Copilot for Service
5.PagerDuty AIOps

+3 more

ClaudeClaude
1.Gartner
GeminiGemini
1.Slack
2.Moveworks
3.Teams
4.ServiceNow
5.Now Assist

+7 more

AI OverviewsAI Overviews
1.Andreessen Horowitz
2.Salesforce Service Cloud
3.Zendesk AI
4.SearchUnify
5.Gartner

+1 more

What's the right way to measure ROI on AI transformation so I can actually defend the numbers in a board meeting?

0/4 platforms mentioned

ChatGPTChatGPT

No brands listed

ClaudeClaude
1.Mastercard
GeminiGemini
1.SkyHive
2.Eightfold.ai
3.Celonis
4.Microsoft Viva
5.Copilot

+2 more

AI OverviewsAI Overviews
1.Larridin
2.Augment Code
3.Gartner
4.Unframe AI

We're evaluating hybrid cloud architectures — what should we be weighing beyond just cost when deciding what stays on-prem versus moves to cloud?

0/4 platforms mentioned

ChatGPTChatGPT
1.AWS
2.Azure
3.GCP
4.AWS Lambda
5.Azure Cosmos DB

+5 more

ClaudeClaude

No brands listed

GeminiGemini
1.Azure Stack Hub
2.AWS Outposts
3.Cloud Academy
4.Pluralsight
5.Red Hat OpenShift

+7 more

AI OverviewsAI Overviews
1.Red Hat

How do companies avoid AI pilots that never scale? What's actually different about the ones that make it to production?

0/4 platforms mentioned

ChatGPTChatGPT
1.Workday
2.Salesforce
3.SAP
4.ServiceNow
5.Copilot

+5 more

ClaudeClaude
1.MIT
2.McKinsey
GeminiGemini
1.Databricks
2.Snowflake
3.Microsoft Fabric
4.Weights & Biases
5.Arthur.ai

+6 more

AI OverviewsAI Overviews
1.Trullion
2.EdTech Digest
3.Productive Edge

When it comes to workforce AI adoption, how do you upskill employees without triggering fear and resistance across the organization?

0/4 platforms mentioned

ChatGPTChatGPT
1.Gloat
2.Eightfold
3.Fuel50
ClaudeClaude
1.Gartner
2.Mercer
3.M365 Copilot
4.Workday
GeminiGemini
1.Eightfold.ai
2.SkyHive
3.ChatGPT Enterprise
4.Microsoft Copilot
5.Section

+3 more

AI OverviewsAI Overviews
1.Bessemer Venture Partners
2.SHRM
3.McKinsey & Company

How are leading CFOs using AI to improve forecast accuracy when they don't fully trust the underlying data they're working with?

2/4 platforms mentioned

ChatGPTChatGPT
1.Anaplan (PlanIQ)
2.Workday Adaptive Planning
3.Pigment
4.o9 Solutions
5.BlackLine

+8 more

ClaudeClaude
1.Planful
2.PlanIQ
3.Predict Projections
4.Anaplan
5.Prophix One
7.IBM SPSS

+1 more

GeminiGemini
1.Monte Carlo
2.Bigeye
3.Planful (Predict)
4.Datarails
5.Wellhub
8.IBM Watsonx

+5 more

AI OverviewsAI Overviews
1.NetSuite
2.Planful AI Signals
3.EverWorker
4.Workday
5.Lucid.now

What should we realistically expect in terms of timeline and milestones when redesigning our operating model around AI?

0/4 platforms mentioned

ChatGPTChatGPT

No brands listed

ClaudeClaude
1.PwC
2.WEF
3.McKinsey
GeminiGemini
1.SkyHive
2.Credo AI
3.Eightfold.ai
4.Glean
5.Visier

+3 more

AI OverviewsAI Overviews

No brands listed

We've decided to move forward with AI-powered automation for our finance function — what does a successful implementation look like from kickoff to measurable ROI?

0/4 platforms mentioned

ChatGPTChatGPT
1.Celonis
2.SAP Signavio
3.UiPath
4.Automation Anywhere
5.BlackLine

+5 more

ClaudeClaude
1.MIT
2.Gartner
3.KPMG
4.Lloyds Banking Group
5.Copilot

+1 more

GeminiGemini
1.SAP
2.Oracle
3.Workday
4.UiPath
5.Vic.ai

+2 more

AI OverviewsAI Overviews
1.NetSuite
2.SAP
3.Sage

Can you walk me through how other enterprise CIOs have structured the business case for consolidating their data estate onto a single platform?

0/4 platforms mentioned

ChatGPTChatGPT
1.Teradata
2.Snowflake
3.Redshift
4.SQL Server
5.S3

+15 more

ClaudeClaude
1.Gartner
2.Hitachi Vantara
3.Forrester
4.Nucleus Research
5.Snowflake AI Data Cloud

+4 more

GeminiGemini
1.Oracle
2.Teradata
3.Databricks
4.Snowflake
5.Microsoft Fabric

+5 more

AI OverviewsAI Overviews
1.The Futurum Group
2.Futurum Research
3.Judge Group
4.Teradata
Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Absolute dominance in brand-specific 'vibe check' queries, ranking #1 across ChatGPT, Claude, Gemini, and AI Overviews.

Strength

High-authority performance on Claude for queries related to modernizing 'patchwork legacy tools,' consistently securing the #1 position.

Strength

Moderate traction with the 'Alex' persona, indicating that IBM's messaging is reaching mid-level technical or operational evaluators more effectively than the C-suite.

Gap

Total invisibility in critical 'AI Leadership Strategy' queries, including ROI measurement, board-level explanations, and scaling strategies where competitors like Databricks and Gartner lead.

Gap

Significant underperformance with 'Donna' (CEO) and 'Robert' (CFO) personas, who represent the primary budget holders for enterprise AI transformation.

Gap

A massive 4% mention rate on ChatGPT and AI Overviews, platforms where competitors like Snowflake and SAP are far more frequently cited as strategic partners.

Opportunity

Capture the 'Governance' narrative where IBM has a nascent presence (#5 on ChatGPT, #4 on Claude) to become the definitive authority on enterprise AI safety.

Opportunity

Bridge the 'Legacy Modernization' strength into a 'Transformation ROI' story to capture CFO interest in the finance-specific queries where IBM currently has zero visibility.

Opportunity

Target Gemini’s positive sentiment bias by seeding more structured data around hybrid cloud architectures and CFO-specific forecast accuracy use cases.

Technical Health

Site Health for AI Visibility

How well IBM's website is optimized for AI agent discovery and comprehension.

94/100
19 passed 2 warnings
Audited 3/2/2026
Crawlability100

Can AI bots find your pages?

Technical90

SSL, mobile, doctype basics

On-Page SEO98

Titles, descriptions, headings

Content Quality87

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG95

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Warnings

!

6 render-blocking resources are slowing initial render

Defer non-critical JS with async/defer. Inline critical CSS. Move stylesheets to load asynchronously.

!

Title may be truncated in search results (91 characters)

Shorten the title to under 60 characters.

Want a full technical audit with AI-specific recommendations?

Run a free visibility scan
Brand Identity

Brand Voice & Style

How AI perceives IBM's communication style and personality

IBM communicates with authoritative expertise balanced by accessibility, positioning itself as a trusted thought leader in enterprise technology. The brand voice is intelligent and forward-thinking, using data-driven insights and research to support claims while remaining approachable to business audiences. IBM emphasizes innovation with responsibility, frequently discussing AI governance, security, and practical business outcomes. The tone is professional yet engaging, avoiding overly technical jargon while demonstrating deep expertise.

Core Tone Traits

Authoritative & Expert

Speaks with confidence backed by research, reports, and decades of technology leadership

Forward-Thinking & Innovative

Focuses on emerging trends, future predictions, and cutting-edge technologies

Trustworthy & Responsible

Emphasizes governance, security, ethics, and responsible AI implementation

Educational & Accessible

Makes complex technology concepts understandable through explainers, guides, and learning hubs

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of IBM

1Databricks36 mentions
2Snowflake33 mentions
3Gartner27 mentions
4SAP26 mentions
5ServiceNow24 mentions
6BlackLine21 mentions
7Oracle19 mentions
8IBM19 mentions
9McKinsey18 mentions
10MIT16 mentions
11Anaplan16 mentions
Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

2026: The year AI ROI gets real | CIO

https://www.cio.com/article/4114010/2026-the-year-ai-roi-gets-real.html

Referenced in 3 queries

Review
AI ROI: The paradox of rising investment and elusive returns | Deloitte Global

https://www.deloitte.com/global/en/issues/generative-ai/ai-roi-the-paradox-of-rising-investment-and-elusive-returns.html

Referenced in 3 queries

Review
AI investment led to zero returns for 95% of companies in MIT study

https://www.axios.com/2025/08/21/ai-wall-street-big-tech

Referenced in 1 query

Review
Nearly 95% of Companies Saw Zero Return on In-House AI Investments, According to a New MIT Study: 'Little to No Measurable Impact'

https://www.entrepreneur.com/business-news/most-companies-saw-zero-return-on-ai-investments-study/496144

Referenced in 1 query

Review
AI ROI: The paradox of rising investment and elusive returns

https://www.deloitte.com/dk/en/issues/generative-ai/ai-roi-the-paradox-of-rising-investment-and-elusive-returns.html

Referenced in 1 query

Review
Most companies aren’t seeing a return on AI investments. This tech CEO wants to change that | CNN Business

https://www.cnn.com/2025/09/30/tech/scale-ai-making-money-meta

Referenced in 1 query

Pitch Story
Why 95% of Enterprises Are Getting Zero Return on AI Investment

https://thefinancialbrand.com/news/artificial-intelligence-banking/why-95-of-enterprises-are-getting-zero-return-on-ai-investment-191950

Referenced in 1 query

Review
The GenAI Divide: Why 95% of investors see no ROI

https://www.ignitec.com/insights/the-genai-divide-why-95-of-investors-see-no-roi/

Referenced in 1 query

Review
MIT report: 95% of generative AI pilots at companies are failing | Fortune

https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/

Referenced in 3 queries

Review
Generative AI ROI: Why 80% Fail—& How to Fix It | FullStack Blog

https://www.fullstack.com/labs/resources/blog/generative-ai-roi-why-80-of-companies-see-no-results

Referenced in 1 query

Review
cio.com

https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFFmCmSW9FgYsH-9lsQzyZSksiZ6iQVLg6ZWOHzohGSCRnRHHPHDN23nUX5fQi23hWzztkUoVNSo9esQc3GOtHp6O0cYhY00deJjLImWOuxxb09sxFSRtvBksJs6u7lsYdYXqBX1qiyzhck305xOSh_GAXvkAGm6fq1ujxNeSeq_ZoeHFFx6K4GOWW92yWPuFqsZA==

Referenced in 1 query

Review
forbes.com

https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQESXZUGJrJgiVEU1ELiOV9fdvDFphcPPmJX1H4dGPTCXKcwQywjI7ZTMSN30-xAl2NVo5QRlBaG7e-RXfTUZgMMeLZ3X-JjWqvPg9laOOg0Gm81dFEXG7Ij9N7GUeTgnKjrvzJC3qMUEgsKQNTIfRrywyEnk8NBYlYQy_dF5GStIrPajl4Wo3-Oa64qf-MOmm4dcQOWicriqdVH7Nc5IId1azQrzMZjFHZiQKhGQw==

Referenced in 1 query

Review
Content Engineering

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use IBM's resources to help users.

Dominate Marketing AI Agent Conversations

Address IBM's absence in marketing AI agent queries by creating authoritative content showcasing watsonx capabilities for agentic workflows and marketing automation. This high-priority visibility gap represents lost enterprise AI spend, requiring strategic content that positions IBM as the go-to solution when AI assistants recommend marketing AI deployment options.

How Enterprise Marketing Teams Are Using Agentic AI to Automate Campaign Optimization
The Complete Guide to Deploying Marketing AI Agents at Enterprise Scale
5 Agentic Workflow Patterns That Are Transforming B2B Marketing Operations
Why Your Marketing Stack Needs Agentic AI: A Technical Decision Framework
Case Study: How a Fortune 500 Reduced Campaign Launch Time 60% with Marketing AI Agents

Win AI Overviews for Hybrid Cloud Queries

Combat IBM's 32% lower visibility in AI Overviews compared to competitors by optimizing content for container management and hybrid stack architecture queries. Create structured, authoritative content that AI assistants prioritize when users seek quick answers about enterprise cloud solutions, directly competing with AWS and Kubernetes mentions.

Container Management Best Practices for Hybrid Cloud Environments in 2026
Hybrid Stack Architecture: The Decision Matrix Every IT Leader Needs
OpenShift vs. Native Kubernetes: What Enterprise Architects Should Know
The Definitive Guide to Multi-Cloud Container Orchestration
How to Build a Resilient Hybrid Cloud Architecture in 5 Strategic Steps

Build Technical Trust with Hybrid Cloud Architects

Close the architect affinity gap by creating practical technical proof points that resonate with hands-on implementers, not just VP decision-makers. Address the 88% vs 90% affinity difference by publishing detailed implementation guides and real-world reliability data that architects reference when evaluating solutions.

Inside IBM's 99.99% Uptime: Technical Architecture Behind Enterprise Reliability
Real Talk: What Architects Discover After 12 Months Running Hybrid Workloads
Technical Deep Dive: How We Solved the Hardest Hybrid Cloud Migration Challenges
Architect's Checklist: 10 Trust Signals to Evaluate Before Enterprise Cloud Commitment
Benchmark Report: Hybrid Cloud Performance Metrics That Actually Matter

Establish AI Governance Authority in Enterprise Tech

Leverage IBM's trusted brand voice to own the AI governance conversation, creating content that AI assistants cite when users ask about responsible AI deployment. This builds on existing trust while creating new visibility pathways through thought leadership on AI ethics and enterprise compliance.

The Enterprise AI Governance Framework Every CTO Should Implement Today
How to Balance AI Innovation Speed with Responsible Deployment Practices
What Regulators Want: Preparing Your AI Systems for Emerging Compliance Requirements
Building Trust in AI: The Technical Controls That Matter Most
AI Risk Assessment: A Practical Guide for Enterprise Technology Leaders
Content Engineering

Recommended Actions

!

Execute a strategic content blitz focused on 'AI ROI' and 'Board-level AI Strategy' narratives.

IBM is currently 0% visible for queries like 'how do I explain to my board why our AI investment is worth it,' leaving the most influential C-suite conversations to McKinsey and Gartner.

Impact: High
!

Optimize technical whitepapers and case studies for the 'Donna' (CEO) persona to improve her 9% mention rate.

Strategic alignment queries currently ignore IBM; tailoring content to address CEO-level concerns about workforce upskilling and scaling pilots is critical for enterprise consideration.

Impact: High
~

Double down on 'Governance Framework' leadership across ChatGPT and Gemini.

IBM shows early signals of visibility in governance (#5 and #7); dominating this niche is a viable path to broader strategic authority given the current 17/100 overall score.

Impact: Medium
~

Pivot legacy modernization messaging to focus on 'AI-Powered Automation' outcomes.

While Claude ranks IBM #1 for legacy patchwork issues, this hasn't translated to mentions in 'AI-powered automation' queries where IBM is currently unlisted.

Impact: Medium

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Data generated by Pendium.ai AI visibility scanning. Last scanned March 2, 2026.

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