REPOGEO REPORT · LITE
pkoukk/tiktoken-go
Default branch main · commit 200cf60c · scanned 6/9/2026, 2:56:42 AM
GitHub: 925 stars · 103 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 pkoukk/tiktoken-go, 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#1Strengthen the README's opening statement to highlight the native Go implementation
Why:
CURRENTOpenAI's tiktoken in Go. Tiktoken is a fast BPE tokeniser for use with OpenAI's models. This is a port of the original tiktoken.
COPY-PASTE FIXtiktoken-go is a native Go implementation of OpenAI's fast BPE tokeniser, tiktoken. It provides accurate tokenization for OpenAI's models directly within Go applications, eliminating the need for Python dependencies or external processes.
- mediumhomepage#2Add a homepage URL to the repository settings
Why:
COPY-PASTE FIXhttps://github.com/pkoukk/tiktoken-go
- mediumtopics#3Add more specific and common related topics
Why:
CURRENTchatgpt, go, golang, gpt-35-turbo, gpt-4, openai, tiktoken
COPY-PASTE FIXchatgpt, go, golang, gpt-35-turbo, gpt-4, openai, tiktoken, bpe, tokenization, llm
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.
- go-tiktoken · recommended 1×
- pkoustarov/tiktoken · recommended 1×
- go-tokenizers · recommended 1×
- go-gpt3 · recommended 1×
- sugarme/go-tokenizers · recommended 1×
- CATEGORY QUERYNeed a Go library for fast text tokenization with OpenAI's large language models.you: #1AI recommended (in order):
- tiktoken-go ← you
- go-tiktoken
- tiktoken (pkoustarov/tiktoken)
- go-tokenizers
- go-gpt3
Show full AI answer
- CATEGORY QUERYSeeking a robust Go package for byte pair encoding tokenization of text data.you: #1AI recommended (in order):
- tiktoken-go (pkoustaras/tiktoken-go) ← you
- go-tokenizers (sugarme/go-tokenizers)
- huggingface/tokenizers (huggingface/tokenizers)
- go-bpe (sugarme/go-bpe)
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 pkoukk/tiktoken-go?passAI did not name pkoukk/tiktoken-go — 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 pkoukk/tiktoken-go in production, what risks or prerequisites should they evaluate first?passAI named pkoukk/tiktoken-go 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 pkoukk/tiktoken-go solve, and who is the primary audience?passAI named pkoukk/tiktoken-go 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 pkoukk/tiktoken-go. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/pkoukk/tiktoken-go)<a href="https://repogeo.com/en/r/pkoukk/tiktoken-go"><img src="https://repogeo.com/badge/pkoukk/tiktoken-go.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
pkoukk/tiktoken-go — 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