AI Visibility Leaderboard

IBM AI Visibility in Software and Information Technology

Software and Information Technology leaderboard tracks how brands appear across 7 major AI engines. Rankings update as new completed runs become available, giving teams a baseline for measuring category visibility before engine-specific gaps emerge.

Rank, score, engine coverage, and nearby competitors are rendered from the same accepted leaderboard data used by the public page.

IBM visibility profile

Current rank
6
Visibility score
38.4
Collection
Software and Information Technology

Use the engine tabs to compare how ChatGPT, gemini, Grok, and DeepSeek rank brands differently. Some engines reward category authority while others emphasize popularity, recency, regional evidence, or recommendation style, so individual rankings can diverge from the overall leaderboard.

Closest competitors

BrandRankVisibility scoreAI engine note
Microsoft195.4Compared across the latest accepted AI visibility evidence
Oracle268Compared across the latest accepted AI visibility evidence
Salesforce364.6Compared across the latest accepted AI visibility evidence
SAP462Compared across the latest accepted AI visibility evidence
Adobe549.73Compared across the latest accepted AI visibility evidence
ServiceNow733Compared across the latest accepted AI visibility evidence
Intuit820.25Compared across the latest accepted AI visibility evidence
Atlassian919Compared across the latest accepted AI visibility evidence
VMware1015Compared across the latest accepted AI visibility evidence

How to read this page

This page uses the same leaderboard snapshot for its headline, visible metrics, and comparison table. Read rank together with visibility score: rank shows relative position in the current view, while the score records measured AI visibility. Nearby rows provide comparison context. Follow the related leaderboard links to compare the wider set of tracked entities and continue exploring pages based on the same snapshot.

Scores describe the data available for the snapshot date and should be read as a point-in-time comparison, not a permanent rating. Differences between rows show relative visibility within this leaderboard view. A later snapshot can change both rank and score when the underlying evaluations change. The static table keeps the primary comparison readable without requiring interactive controls.