RRepoGEO

REPOGEO REPORT · LITE

google/autofdo

Default branch master · commit 158a27f2 · scanned 6/14/2026, 12:22:02 AM

GitHub: 615 stars · 124 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 google/autofdo, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    performance-optimization, profile-guided-optimization, c-plus-plus, compiler-optimization, fdo, profiling, llvm
  • mediumabout#2
    Improve the repository description for better context

    Why:

    CURRENT
    AutoFDO
    COPY-PASTE FIX
    Automates feedback-directed optimization for C++ applications using production profiles from unmodified binaries.

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.

Recall
0 / 2
0% of queries surface google/autofdo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Intel VTune Profiler
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Intel VTune Profiler · recommended 1×
  2. gperftools/gperftools · recommended 1×
  3. Linux `perf` · recommended 1×
  4. Valgrind · recommended 1×
  5. AMD uProf · recommended 1×
  • CATEGORY QUERY
    How can I use runtime execution profiles to optimize C++ application performance?
    you: not recommended
    AI recommended (in order):
    1. Intel VTune Profiler
    2. Google pprof (gperftools/gperftools)
    3. Linux `perf`
    4. Valgrind
    5. AMD uProf
    6. Visual Studio Profiler
    7. Xcode Instruments

    AI recommended 7 alternatives but never named google/autofdo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools exist for automatic profile-guided optimization in a C/C++ build process?
    you: not recommended
    AI recommended (in order):
    1. Clang/LLVM
    2. GCC
    3. MSVC (Visual C++)
    4. Intel C++ Compiler (ICC)
    5. CMake
    6. Bazel

    AI recommended 6 alternatives but never named google/autofdo. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

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 google/autofdo?
    pass
    AI named google/autofdo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts google/autofdo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google/autofdo 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 google/autofdo solve, and who is the primary audience?
    pass
    AI named google/autofdo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of google/autofdo. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/google/autofdo.svg)](https://repogeo.com/en/r/google/autofdo)
HTML
<a href="https://repogeo.com/en/r/google/autofdo"><img src="https://repogeo.com/badge/google/autofdo.svg" alt="RepoGEO" /></a>
Pro

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google/autofdo — 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