Aurelius vs IBM

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

IBM leads in AI visibility (80 vs 27)

Aurelius

2Product & Design Tools

User Research Repository & Insights Platform

User research repository and AI insights platform; raised $4M+; helps UX teams and PMs organize, tag, analyze, and share research findings as searchable institutional knowledge.

AI VisibilityBeta
Overall Score
D27
Category Rank
#1 of 1
AI Consensus
52%
Trend
up
Per Platform
ChatGPT
22
Perplexity
34
Gemini
36

About

Aurelius is a user research repository and insights platform designed to help UX researchers, product designers, and product managers organize, tag, analyze, and share research findings across an organization, transforming scattered interview notes, survey results, and usability test data into a searchable institutional knowledge base that can inform product and design decisions. Founded in 2016 as a remote-first company, Aurelius has raised more than $4 million and serves product and research teams at technology companies that run continuous discovery programs and struggle to prevent research from being siloed in individual researchers' files or forgotten after a project concludes.\n\nAurelius's platform provides a structured workspace for uploading and organizing research artifacts — interview transcripts, notes, survey responses, and reports — tagging observations with themes and categories, and synthesizing tagged observations into insights and recommendations. The search capability allows any team member to retrieve relevant past research on a topic, reducing duplicate research and enabling evidence-based product decisions even when the original researcher has left the team. AI features assist with transcript analysis, automatic tagging suggestions, and insight generation from tagged observations.\n\nAurelius competes with Dovetail, EnjoyHQ, and Condens in the research repository and insights platform market. Its focus on insight synthesis — moving beyond storage to helping researchers generate and share actionable findings — differentiates it from simple file repositories, while its lightweight pricing and ease of setup make it accessible to smaller research teams that cannot justify enterprise research platforms. The company positions itself as the system of record for product research knowledge within organizations that take continuous discovery seriously.

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

27
Overall Score
80
#1
Category Rank
#56
52
AI Consensus
67
up
Trend
up
22
ChatGPT
74
34
Perplexity
71
36
Gemini
84
18
Claude
74
23
Grok
81

Track AI Visibility in Real Time

Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.