REPOGEO REPORT · LITE
cyrusbehr/tensorrt-cpp-api
Default branch main · commit 80091c0d · scanned 6/6/2026, 1:18:27 AM
GitHub: 804 stars · 106 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface cyrusbehr/tensorrt-cpp-api, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README to clarify it's a TensorRT wrapper/library
Why:
CURRENTA modern, no-throw C++ library for high-performance GPU inference of CNN models with NVIDIA TensorRT — with optional zero-copy Python bindings.
COPY-PASTE FIXA modern, no-throw C++ library that wraps and simplifies NVIDIA TensorRT's C++ API for high-performance GPU inference of CNN models — with optional zero-copy Python bindings.
- mediumabout#2Update repository description to reflect library nature
Why:
CURRENTTensorRT C++ API Tutorial
COPY-PASTE FIXA modern, no-throw C++ library that wraps and simplifies NVIDIA TensorRT's C++ API for high-performance GPU inference.
- lowhomepage#3Add a homepage URL to the repository About section
Why:
COPY-PASTE FIXhttps://github.com/cyrusbehr/tensorrt-cpp-api
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- NVIDIA TensorRT · recommended 2×
- ONNX Runtime · recommended 1×
- DeepStream SDK · recommended 1×
- cuDNN · recommended 1×
- LibTorch · recommended 1×
- CATEGORY QUERYHow to achieve high-performance deep learning model inference using C++ on NVIDIA GPUs?you: not recommendedAI recommended (in order):
- NVIDIA TensorRT
- ONNX Runtime
- DeepStream SDK
- cuDNN
- LibTorch
- TensorFlow Lite
AI recommended 6 alternatives but never named cyrusbehr/tensorrt-cpp-api. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best C++ libraries for deploying ONNX models with NVIDIA TensorRT?you: not recommendedAI recommended (in order):
- NVIDIA TensorRT
- onnx-tensorrt parser (onnx/onnx-tensorrt)
- OpenCV (opencv/opencv)
- ONNX Runtime (microsoft/onnxruntime)
- Boost (boostorg/boost)
- Eigen
AI recommended 6 alternatives but never named cyrusbehr/tensorrt-cpp-api. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of cyrusbehr/tensorrt-cpp-api?passAI did not name cyrusbehr/tensorrt-cpp-api — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts cyrusbehr/tensorrt-cpp-api in production, what risks or prerequisites should they evaluate first?passAI named cyrusbehr/tensorrt-cpp-api explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo cyrusbehr/tensorrt-cpp-api solve, and who is the primary audience?passAI did not name cyrusbehr/tensorrt-cpp-api — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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cyrusbehr/tensorrt-cpp-api — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite