mathematical optimization software for large scale problems
AI Search Visibility Analysis
Analyze how brands appear across multiple AI search platforms for a specific prompt
Total Mentions
Total number of times a brand appears
across all AI platforms for this prompt
Platform Presence
Number of AI platforms where the brand
was mentioned for this prompt
Linkbacks
Number of times brand website was
linked in AI responses
Sentiment
Overall emotional tone when brand is
mentioned (Positive/Neutral/Negative)
Brand Performance Across AI Platforms
| BRAND | TOTAL MENTIONS | PLATFORM PRESENCE | LINKBACKS | SENTIMENT | SCORE |
|---|---|---|---|---|---|
1IBM CPLEX Optimizer | 2 | 2 | 95 | ||
2Gurobi | 2 | 1 | 85 | ||
3MOSEK | 2 | 1 | 85 | ||
4AMPL | 2 | 1 | 85 | ||
5HiGHS | 1 | 1 | 77 | ||
6BARON | 1 | 1 | 77 | ||
7COPT | 1 | 1 | 77 | ||
8FICO Enterprise Optimization | 1 | 1 | 77 | ||
9LINDO | 1 | 1 | 77 | ||
10SNOPT | 1 | 0 | 67 | ||
11Artelys Knitro | 1 | 0 | 67 | ||
12MATLAB | 2 | 0 | 63 | ||
13Maple | 1 | 0 | 55 | ||
14Mathematica | 1 | 0 | 55 |
Strategic Insights & Recommendations
Dominant Brand
Gurobi and MOSEK emerge as the most frequently recommended commercial solvers across all platforms for their performance and scalability.
Platform Gap
ChatGPT focuses on technical specifications while Perplexity provides business context and Google AIO emphasizes practical application scenarios.
Link Opportunity
All platforms reference official solver websites and academic resources, creating opportunities for technical documentation and comparison content.
Key Takeaways for This Prompt
Commercial solvers like Gurobi, MOSEK, and CPLEX generally outperform open-source alternatives for large-scale problems.
Problem type (linear, nonlinear, mixed-integer) is the primary factor in choosing optimization software.
Academic licenses are widely available for most commercial optimization solvers.
Modeling languages like AMPL and Pyomo provide flexibility to switch between different solvers.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (14)
SUMMARY
ChatGPT provides an educational overview of five key optimization software tools: HiGHS (open-source for LP/MIP/QP), SNOPT (proprietary for nonlinear problems), MOSEK (commercial for various problem types), Artelys Knitro (nonlinear optimization), and IBM CPLEX (high-performance solver). The response emphasizes considering problem type, scalability, programming compatibility, and budget when choosing software.
Perplexity
BRAND (14)
SUMMARY
Perplexity offers a comprehensive analysis of optimization software with detailed comparisons. It highlights MOSEK for large-scale convex problems, Gurobi for MIP efficiency, IBM CPLEX for enterprise integration, BARON for global nonlinear optimization, and COPT for versatility. The response includes a helpful summary table comparing problem types, highlights, and use cases for each platform.
REFERENCES (17)
Google AIO
BRAND (14)
SUMMARY
Google AIO provides a comparative breakdown focusing on specific strengths: Gurobi for MIP performance, IBM CPLEX for enterprise problems, FICO Xpress for business optimization, Artelys Knitro for nonlinear problems, and MOSEK for convex optimization. It also covers modeling languages like AMPL and open-source alternatives like SCIP and OR-Tools.
REFERENCES (5)
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