What does "AI visibility" mean for my business?

When someone asks ChatGPT, Claude, or Gemini "what is the best..." or "where can I find...", AI gives specific recommendations. AI visibility is a measure of how often — and how positively — these AI platforms mention your business. It's the new version of being on the first page of Google, except now there are no pages — just one answer.

Which AI platforms do you monitor?

Pendium monitors ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Google AI Overviews — seven major AI platforms that consumers use to research local services. We run real queries that your customers actually ask and analyze the responses for mentions of your business, competitors, and industry topics.

How does Pendium improve my visibility?

Three ways. First, we identify the exact queries and topics where you're invisible. Second, we generate AI-optimized content — articles, guides, social posts — designed to help AI agents understand your business and recommend your services to the right people. Third, we continuously monitor to track improvement and find new opportunities. Most clients see measurable improvement within 60 days.

How long until I see results?

You'll get your first visibility report within minutes of signing up. Actual visibility improvement varies, but our clients typically see a 47% average improvement within 60 days. Some see results faster — it depends on your current online presence and how competitive your local market is.

Do I need to be technical to use this?

Not at all. Enter your website URL and Pendium handles everything: scanning AI platforms, analyzing your visibility, generating content, and tracking improvement. The dashboard is designed for business owners, not engineers. If you can check your email, you can use Pendium.

What makes this different from SEO?

Traditional SEO optimizes for Google's search rankings — blue links on a results page. AI visibility is different: AI doesn't show links, it gives direct answers. Even if you rank #1 on Google, ChatGPT might recommend a competitor. Pendium optimizes for the new paradigm — making sure AI platforms know about, trust, and recommend your business.

Pricing

Get a demo

IBM

Visibility21

Vibe91

Businesses/Technology/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

Technology

AI Visibility Score

21/100

Low

Sentiment Score

91/100

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

adjacent

aspirational

visionary

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe IBM today.

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.

Working in your favor

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

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

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.

Gaps to close

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

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

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.

Opportunities

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.

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.

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

Highest-Impact 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.

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.

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.

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

Mission

Let's create smarter business

Products & Services

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

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	97	97	97	97
“What do you know about IBM? What do they do and what's their reputation?”	#1	#1	#1	#1
Core10q Product/service category queries	22	55	40	13
“Our IT systems are a patchwork of vendors and legacy tools — is that actually hurting our ability to use AI effectively?”	No	#1	No	No
“My finance team still closes the books manually every quarter — what are other CFOs doing to modernize without breaking everything?”	No	No	No	No
“What does a governance framework for enterprise AI actually look like in practice — not in theory?”	#5	#4	#7	#8
“How do AI agents for IT operations actually compare to just hiring more support staff or outsourcing helpdesk?”	No	#2	No	No
“What's the right way to measure ROI on AI transformation so I can actually defend the numbers in a board meeting?”	No	#3	#2	No
“We're evaluating hybrid cloud architectures — what should we be weighing beyond just cost when deciding what stays on-prem versus moves to cloud?”	No	No	#7	No
“How do companies avoid AI pilots that never scale? What's actually different about the ones that make it to production?”	No	No	No	No
“How are leading CFOs using AI to improve forecast accuracy when they don't fully trust the underlying data they're working with?”	No	#7	#8	No
“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?”	No	No	No	No
“Can you walk me through how other enterprise CIOs have structured the business case for consolidating their data estate onto a single platform?”	No	No	No	No
Growth Areas7q Adjacent, aspirational & visionary	0	34	0	13
“Why are so many companies spending millions on AI and still not seeing any real business results?”	No	#2	No	#9
“How do I know if my company's AI strategy is actually aligned across the leadership team or if we just think it is?”	No	No	No	No
“What's the real difference between companies that are winning with AI and the ones that are falling behind?”	No	No	No	No
“As a CEO, how do I explain to my board why our AI investments haven't delivered yet without losing credibility?”	No	No	No	No
“How are other COOs handling AI adoption when their operations are already stretched thin and there's no room for disruption?”	No	No	No	No
“When it comes to workforce AI adoption, how do you upskill employees without triggering fear and resistance across the organization?”	No	No	No	No
“What should we realistically expect in terms of timeline and milestones when redesigning our operating model around AI?”	No	No	No	No

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

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

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

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

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

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

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

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

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

“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?”

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

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

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

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

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

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

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

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

Competitive Landscape

Databricks

36 mentions

Snowflake

33 mentions

Gartner

27 mentions

SAP

26 mentions

ServiceNow

24 mentions

BlackLine

21 mentions

Oracle

19 mentions

IBM

19 mentions

McKinsey

18 mentions

MIT

16 mentions

Anaplan

16 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

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.

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.

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.

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.

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.

ChatGPT

Claude

Gemini

AI 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

Adjacent

ChatGPT

1.Microsoft Copilot

2.Salesforce Einstein

3.Databricks

4.Netflix

Claude

1.MIT

Gemini

1.Gartner

2.McKinsey

3.MIT

4.CRM

5.ERP

+13 more

AI 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

Aspirational

Donna · CHRO at a Large Enterprise

ChatGPT

No brands listed

Claude

No brands listed

Gemini

1.Apptio

2.Flexera

3.Credo AI

4.Arthur

5.Gartner

+2 more

AI 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

Adjacent

Donna · CHRO at a Large Enterprise

ChatGPT

No brands listed

Claude

No brands listed

Gemini

1.Credo AI

2.Gloat

3.Eightfold.ai

4.Glean

5.Slack

+4 more

AI 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

Visionary

Donna · CHRO at a Large Enterprise

ChatGPT

No brands listed

Claude

1.McKinsey

Gemini

1.GitHub Copilot

2.Databricks

3.Snowflake

4.Visier

5.Microsoft Viva Insights

+2 more

AI 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

Core

Donna · CHRO at a Large Enterprise

ChatGPT

1.Snowflake

2.Databricks

3.BigQuery

4.Informatica

5.Reltio

+6 more

Claude

1.IBM

2.BCG

Gemini

1.Snowflake

2.Databricks

3.MuleSoft

4.Workato

5.Credo AI

+7 more

AI 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

Aspirational

Donna · CHRO at a Large Enterprise

ChatGPT

1.Microsoft Copilot

2.Google Gemini

3.ServiceNow

4.Salesforce

5.SAP

+1 more

Claude

1.Johnson & Johnson

2.McKinsey

Gemini

1.Microsoft 365 Copilot

2.Excel

3.Outlook

4.Salesforce Einstein

5.SAP Joule

+15 more

AI 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

Core

Donna · CHRO at a Large Enterprise

ChatGPT

1.BlackLine

2.Trintech Cadency

3.FloQast

4.Oracle Account Reconciliation Cloud

5.SAP S/4HANA

+14 more

Claude

1.Gartner

2.BlackLine

3.Trintech

4.Cadency

5.OneStream

+5 more

Gemini

1.SAP

2.Oracle

3.Workday

4.BlackLine

5.FloQast

+7 more

AI 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

Core

Donna · CHRO at a Large Enterprise

ChatGPT

1.MLflow

2.Databricks Model Registry

3.Collibra

4.Alation

5.IBM Watson OpenScale

+1 more

Claude

No brands listed

Gemini

1.GPT-4o

2.Claude 3.5

3.Phenom

4.Eightfold

5.Credo AI

7.IBM OpenScale

+3 more

AI 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

Core

Donna · CHRO at a Large Enterprise

ChatGPT

1.ServiceNow Virtual Agent

2.Moveworks

3.Aisera

4.Microsoft Copilot for Service

5.PagerDuty AIOps

+3 more

Claude

1.Gartner

Gemini

1.Slack

2.Moveworks

3.Teams

4.ServiceNow

5.Now Assist

+7 more

AI 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

Core

Donna · CHRO at a Large Enterprise

ChatGPT

No brands listed

Claude

1.Mastercard

Gemini

1.SkyHive

2.Eightfold.ai

3.Celonis

4.Microsoft Viva

5.Copilot

+2 more

AI 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

Core

Donna · CHRO at a Large Enterprise

ChatGPT

1.AWS

2.Azure

3.GCP

4.AWS Lambda

5.Azure Cosmos DB

+5 more

Claude

No brands listed

Gemini

1.Azure Stack Hub

2.AWS Outposts

3.Cloud Academy

4.Pluralsight

5.Red Hat OpenShift

+7 more

AI 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

Core

Donna · CHRO at a Large Enterprise

ChatGPT

1.Workday

2.Salesforce

3.SAP

4.ServiceNow

5.Copilot

+5 more

Claude

1.MIT

2.McKinsey

Gemini

1.Databricks

2.Snowflake

3.Microsoft Fabric

4.Weights & Biases

5.Arthur.ai

+6 more

AI 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

Aspirational

Donna · CHRO at a Large Enterprise

ChatGPT

1.Gloat

2.Eightfold

3.Fuel50

Claude

1.Gartner

2.Mercer

3.M365 Copilot

4.Workday

Gemini

1.Eightfold.ai

2.SkyHive

3.ChatGPT Enterprise

4.Microsoft Copilot

5.Section

+3 more

AI 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

Core

Donna · CHRO at a Large Enterprise

ChatGPT

1.Anaplan (PlanIQ)

2.Workday Adaptive Planning

3.Pigment

4.o9 Solutions

5.BlackLine

+8 more

Claude

1.Planful

2.PlanIQ

3.Predict Projections

4.Anaplan

5.Prophix One

7.IBM SPSS

+1 more

Gemini

1.Monte Carlo

2.Bigeye

3.Planful (Predict)

4.Datarails

5.Wellhub

8.IBM Watsonx

+5 more

AI 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

Aspirational

Donna · CHRO at a Large Enterprise

ChatGPT

No brands listed

Claude

1.PwC

2.WEF

3.McKinsey

Gemini

1.SkyHive

2.Credo AI

3.Eightfold.ai

4.Glean

5.Visier

+3 more

AI 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

Core

Donna · CHRO at a Large Enterprise

ChatGPT

1.Celonis

2.SAP Signavio

3.UiPath

4.Automation Anywhere

5.BlackLine

+5 more

Claude

1.MIT

2.Gartner

3.KPMG

4.Lloyds Banking Group

5.Copilot

+1 more

Gemini

1.SAP

2.Oracle

3.Workday

4.UiPath

5.Vic.ai

+2 more

AI 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

Core

ChatGPT

1.Teradata

2.Snowflake

3.Redshift

4.SQL Server

5.S3

+15 more

Claude

1.Gartner

2.Hitachi Vantara

3.Forrester

4.Nucleus Research

5.Snowflake AI Data Cloud

+4 more

Gemini

1.Oracle

2.Teradata

3.Databricks

4.Snowflake

5.Microsoft Fabric

+5 more

AI Overviews

1.The Futurum Group

2.Futurum Research

3.Judge Group

4.Teradata

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.

2026: The year AI ROI gets real | CIO

cio.com

Web1 ref

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

deloitte.com

Web1 ref

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

axios.com

Web1 ref

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

entrepreneur.com

Web1 ref

AI ROI: The paradox of rising investment and elusive returns

deloitte.com

Web1 ref

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

cnn.com

Web1 ref

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

thefinancialbrand.com

Web1 ref

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

ignitec.com

Web1 ref

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

fortune.com

Web1 ref

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

fullstack.com

Web1 ref

AUZIYQFFmCmSW9FgYsH 9lsQzyZSksiZ6iQVLg6ZWOHzohGSCRnRHHPHDN23nUX5fQi23hWzztkUoVNSo9esQc3GOtHp6O0cYhY00deJjLImWOuxxb09sxFSRtvBksJs6u7lsYdYXqBX1qiyzhck305xOSh GAXvkAGm6fq1ujxNeSeq ZoeHFFx6K4GOWW92yWPuFqsZA==

vertexaisearch.cloud.google.com

Web1 ref

AUZIYQESXZUGJrJgiVEU1ELiOV9fdvDFphcPPmJX1H4dGPTCXKcwQywjI7ZTMSN30 XAl2NVo5QRlBaG7e RXfTUZgMMeLZ3X JjWqvPg9laOOg0Gm81dFEXG7Ij9N7GUeTgnKjrvzJC3qMUEgsKQNTIfRrywyEnk8NBYlYQy DF5GStIrPajl4Wo3 Oa64qf MOmm4dcQOWicriqdVH7Nc5IId1azQrzMZjFHZiQKhGQw==

vertexaisearch.cloud.google.com

Web1 ref

AUZIYQEJifdfSOxTCiLsUM2Ok4eOIs27RgrNVwV RXUvgOdQ8UVkK2byqV09sViapaKaTUoatLZMCccvuTzBMgaaET1YliU G6Sc6c0vaahVKbrMNQv6mECMRlrYZUnQZHc1a6WTZ6fjqB3RhfhbEeU=

vertexaisearch.cloud.google.com

Web1 ref

Everybody Is Using AI. Why Aren't Businesses Seeing ...

forbes.com

Web1 ref

The Surprising Reason Most AI Projects Fail - Informatica

informatica.com

Web1 ref

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

Visual Identity

Primary

#0F62FE

Secondary

#F4F4F4

Accent

#161616

Background

#FFFFFF

Foreground

#111111

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 2, 2026.

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AI Visibility Score

IBM has an AI visibility score of 21/100, rated as low. This score reflects how often and how prominently IBM appears in responses from AI assistants like ChatGPT, Claude, and Gemini.

AI Perception Summary

Strengths

Absolute dominance in brand-specific 'vibe check' queries, ranking #1 across ChatGPT, Claude, Gemini, and AI Overviews.
High-authority performance on Claude for queries related to modernizing 'patchwork legacy tools,' consistently securing the #1 position.
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.

Visibility Gaps

Total invisibility in critical 'AI Leadership Strategy' queries, including ROI measurement, board-level explanations, and scaling strategies where competitors like Databricks and Gartner lead.
Significant underperformance with 'Donna' (CEO) and 'Robert' (CFO) personas, who represent the primary budget holders for enterprise AI transformation.
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.

Competitors in AI Recommendations

Databricks: 36 mentions
Snowflake: 33 mentions
Gartner: 27 mentions
SAP: 26 mentions
ServiceNow: 24 mentions
BlackLine: 21 mentions
Oracle: 19 mentions
McKinsey: 18 mentions
MIT: 16 mentions
Anaplan: 16 mentions
Credo AI: 15 mentions
Salesforce: 14 mentions
FloQast: 14 mentions
Workday: 13 mentions
UiPath: 13 mentions

Categories: Technology

Quick AI snapshot: See IBM's estimated AI visibility (88/100).

Businesses/Technology/IBM

AI Visibility & Sentiment

IBM

Active Monitoring

ibm.com/think

Technology

AI Visibility Score

21/100

Low

Sentiment Score

91/100

Score by Priority

core

adjacent

aspirational

visionary

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe IBM today.

Working in your favor

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

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

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.

Gaps to close

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

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

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.

Opportunities

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.

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.

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

Highest-Impact 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.

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.

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.

Value Proposition

Overview

Mission

Let's create smarter business

Products & Services

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

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	97	97	97	97
“What do you know about IBM? What do they do and what's their reputation?”	#1	#1	#1	#1
Core10q Product/service category queries	22	55	40	13
“Our IT systems are a patchwork of vendors and legacy tools — is that actually hurting our ability to use AI effectively?”	No	#1	No	No
“My finance team still closes the books manually every quarter — what are other CFOs doing to modernize without breaking everything?”	No	No	No	No
“What does a governance framework for enterprise AI actually look like in practice — not in theory?”	#5	#4	#7	#8
“How do AI agents for IT operations actually compare to just hiring more support staff or outsourcing helpdesk?”	No	#2	No	No
“What's the right way to measure ROI on AI transformation so I can actually defend the numbers in a board meeting?”	No	#3	#2	No
“We're evaluating hybrid cloud architectures — what should we be weighing beyond just cost when deciding what stays on-prem versus moves to cloud?”	No	No	#7	No
“How do companies avoid AI pilots that never scale? What's actually different about the ones that make it to production?”	No	No	No	No
“How are leading CFOs using AI to improve forecast accuracy when they don't fully trust the underlying data they're working with?”	No	#7	#8	No
“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?”	No	No	No	No
“Can you walk me through how other enterprise CIOs have structured the business case for consolidating their data estate onto a single platform?”	No	No	No	No
Growth Areas7q Adjacent, aspirational & visionary	0	34	0	13
“Why are so many companies spending millions on AI and still not seeing any real business results?”	No	#2	No	#9
“How do I know if my company's AI strategy is actually aligned across the leadership team or if we just think it is?”	No	No	No	No
“What's the real difference between companies that are winning with AI and the ones that are falling behind?”	No	No	No	No
“As a CEO, how do I explain to my board why our AI investments haven't delivered yet without losing credibility?”	No	No	No	No
“How are other COOs handling AI adoption when their operations are already stretched thin and there's no room for disruption?”	No	No	No	No
“When it comes to workforce AI adoption, how do you upskill employees without triggering fear and resistance across the organization?”	No	No	No	No
“What should we realistically expect in terms of timeline and milestones when redesigning our operating model around AI?”	No	No	No	No