Infosys Ltd
Contact Information
-
Address
2300 Cabot Dr Suite 575, Floor 5, Lisle, IL -
Phone
(630) 577-1810 -
Website
infosys.com
Location
About Infosys Ltd
Infosys Ltd is an IT Support provider in Lisle, Illinois. The company is a global leader in next-generation digital services and consulting, specializing in digital transformation and enterprise AI. Their service offerings include cloud-powered enterprise transformation, cybersecurity, and various specialized industry solutions for sectors ranging from aerospace and defense to healthcare and retail.
The company provides a suite of advanced technological platforms and services, such as Infosys Cobalt for cloud-powered transformation and Infosys Topaz, an AI-first set of solutions using generative AI technologies. Their capabilities include the use of over 12,000 AI assets and 150 pre-trained AI models to help enterprises navigate complex digital landscapes. Additionally, the firm offers specialized services like Infosys Aster for digital marketing and energy-as-a-service platforms designed to optimize power consumption and reduce carbon footprints.
Located on Cabot Dr, the business is situated near Warrenville Road and is a short drive from the Ronald Reagan Memorial Tollway. The area is also close to Laesk Lane Park and Tate Woods Park.
Information regarding this business is well-documented online, and their website is structured for easy reading by search engines.
Infosys Ltd provides essential digital transformation and IT services to global enterprises within the Lisle community.
Score Summary
BizScoreAI scanned the website infosys.com on June 6, 2026. Infosys Ltd has a BizScore of 52 out of 100.
- AI Visibility40 out of 100
- SEO65 out of 100
- Google rating4.2 out of 5
AI visibility scan by category: AI Discovery 10 of 25 points, Structured Data 0 of 25 points, Content Readiness 23 of 30 points, AI Trust Signals 7 of 20 points.
Website audit sub-scores (out of 100): On-Page 70, Technical 75, Performance 67, Content 40.
Strengths: 3 checks passed. AI Crawler Access, AI Content Blocking, AI-Parseable Headings.
Areas to improve: 7 checks. llms.txt (failed), Structured Data (failed), Q&A Content (warning), Meta Description (warning), About/Team Page (warning), XML Sitemap (warning), Author Signals (warning).
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