RRepoGEO

REPOGEO REPORT · LITE

openai/openai-fm

Default branch main · commit 434b7f76 · scanned 5/26/2026, 10:08:14 PM

GitHub: 2,862 stars · 7,938 forks

AI VISIBILITY SCORE
28 /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
2 / 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 openai/openai-fm, 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
    openai-api, speech-synthesis, text-to-speech, tts, nextjs, react, web-demo, example-application, deprecated
  • lowreadme#2
    Replace broken license link with a standard badge

    Why:

    CURRENT
    [](LICENSE)
    COPY-PASTE FIX
    [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

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 openai/openai-fm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ElevenLabs Text to Speech
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ElevenLabs Text to Speech · recommended 1×
  2. Google Cloud Text-to-Speech · recommended 1×
  3. Amazon Polly · recommended 1×
  4. Microsoft Azure AI Speech · recommended 1×
  5. Resemble.ai · recommended 1×
  • CATEGORY QUERY
    How can I add realistic voice generation to a web application using an API?
    you: not recommended
    AI recommended (in order):
    1. ElevenLabs Text to Speech
    2. Google Cloud Text-to-Speech
    3. Amazon Polly
    4. Microsoft Azure AI Speech
    5. Resemble.ai
    6. Play.ht
    7. DeepMotion

    AI recommended 7 alternatives but never named openai/openai-fm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some modern web frameworks for building interactive speech synthesis demos?
    you: not recommended
    AI recommended (in order):
    1. Next.js
    2. SvelteKit
    3. Nuxt.js
    4. Astro
    5. Remix
    6. SolidStart

    AI recommended 6 alternatives but never named openai/openai-fm. 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 openai/openai-fm?
    pass
    AI named openai/openai-fm explicitly

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

  • If a team adopts openai/openai-fm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/openai-fm 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 openai/openai-fm solve, and who is the primary audience?
    pass
    AI did not name openai/openai-fm — 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?

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