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Project Yin-Yang for SMT Solver Testing
What this score means
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. Project Yin-Yang for SMT Solver Testing just got measured.
5/10 means Project Yin-Yang for SMT Solver Testing is borderline visible. AI bots can crawl your site but your structured-data signals are thin. You are at risk of being skipped when buyers ask AI for a recommendation.
About Project Yin-Yang for SMT Solver Testing
Satisfiability Modulo Theory (SMT) solvers are foundational tools for many subareas of computer science, including formal verification, programming languages, and software engineering. Their reliability and robustness are crucial, especially for the safety-critical domains. However, effectively validating SMT solvers has been a longstanding challenge. The goal of Project Yin-Yang is to develop novel, effective, practical methods and techniques to help make SMT solvers more reliable, powerful, and usable. Our tools have demonstrated their remarkable effectiveness by having already found 1,500+
Key Topics
Details
Category: Technology
testsmt.github.ioAI Visibility Breakdown
3
Structured Data
5
Content Structure
6
Entity Clarity
4
E-E-A-T Signals
6
Technical AEO
4
AI Discoverability
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Your full 6-category score breakdown
Exact fixes: robots.txt, schema, llms.txt
AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
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Source & Attribution
Scored by Engagemii on June 7, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/testsmt-github-io
Cite this score: Engagemii (2026). "AEO Score for Project Yin-Yang for SMT Solver Testing." Retrieved from https://engagemii.com/aeo/brands/testsmt-github-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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