Research SEO Playbook
May 5, 2026 · View on GitHub
This playbook turns the repo into the academic-facing search surface for the GareBear99 / TizWildin audio ecosystem.
Primary keywords
- Python audio science
- Python scientific audio
- audio DSP Python
- music information retrieval Python
- MIR tools
- audio machine learning Python
- source separation Python
- citable audio software
- reproducible audio research
- open-source audio DSP
- JUCE plugin testing
- audio plugin validation
Internal link strategy
Every research-facing project should link to:
- awesome-python-audio-science
- awesome-audio-plugins-dev
- awesome-audio-lists
- TizWildinEntertainmentHUB
External authority strategy
- Submit compact entries to relevant awesome lists.
- Add DOI badges to key repos.
- Add
CITATION.cffto key repos. - Publish release notes with measured, verifiable claims.
- Avoid unverifiable “best in world” language in research pages.
- Use clear terms: experimental, prototype, source release candidate, validated release.