Write for Us: Share Your AI, ML & Data Science Expertise
Most "write for us" pages exist purely to collect backlinks. This one exists because we need practitioners writing about the tools and techniques they actually use — developers, data scientists, and technology decision-makers read Review Publically, and a single in-house team can't cover every model release or workflow worth documenting. If you've shipped a model, benchmarked a tool, or can explain a concept better than the fifth generic explainer already out there, this page covers exactly what we're looking for and how every submission gets evaluated.
Quick Answer
Review Publically accepts free guest post submissions on AI, machine learning, deep learning, and data science from writers worldwide. Articles must be original, at least 1,200 words, and demonstrate hands-on technical expertise. Send a complete draft or a short pitch to [email protected] — the editorial team responds within 24–48 hours, and approved articles publish within 1–3 business days with full author credit and one contextual backlink.
Why Contribute Here
Guest contributors get their work in front of readers actively researching AI tools and data science techniques — not passive scroll traffic. We edit for clarity and structure, not to water down your expertise, and every published piece carries a real author bio with a working link back to you.
Focused Tech Audience
Readers actively researching AI tools, ML techniques, and data workflows — not generic web traffic.
Real Author Attribution
A published byline and author page under your name, not an anonymous or generic "staff" credit.
Editorially Reviewed Links
One contextual link in your article plus a bio link — reviewed for relevance, not sold as an SEO package.
Ongoing Distribution
Published articles go into our newsletter and social channels alongside our own content.
Topics We're Actively Looking For
Generic "top 10 AI tools" listicles are the most rejected submission type we get. The pitches that get approved go deeper into one of these areas:
🤖 Machine Learning
- Algorithm walkthroughs with real code and results
- Model evaluation and metric selection case studies
- Feature engineering on a real or public dataset
- MLOps and deployment pipeline guides
🧠 Deep Learning
- CNN, RNN, and transformer architecture explainers
- Computer vision or NLP project breakdowns
- Fine-tuning and training-run postmortems
- Reviews of new generative model releases
📊 Data Science
- Exploratory data analysis on a real dataset
- Statistical methods explained with worked examples
- Visualization technique comparisons
- Data cleaning and preprocessing case studies
📈 Data Analytics
- BI dashboard build-throughs
- Predictive analytics for a specific business function
- A/B testing and experimentation analysis
- Data storytelling for non-technical stakeholders
🔧 AI Tools & Reviews
- Hands-on reviews of AI and ML platforms
- Head-to-head tool comparisons with real use cases
- Workflow guides for AI-assisted development
- Cost and ROI breakdowns for AI tool adoption
What We Need From Your Submission
Beyond the topic itself, a few practical things make the difference between a fast approval and a slow back-and-forth.
- Original work that hasn't been published anywhere else, including your own blog
- Real code, tested and runnable, for any technical walkthrough
- Sources cited for any statistic, benchmark, or claim you didn't generate yourself
- Your own screenshots or diagrams — not stock photos or lifted graphics
- A two- to three-sentence author bio ready to go with your submission
Send a short pitch before you write the full piece. A two-to-three sentence outline to [email protected] confirms the angle is a fit and saves you from drafting something we'd have to decline.
What Gets a Submission Rejected
Most rejections aren't about talent — they're about fit. The most common reasons:
- Generic "top 10 AI tools" listicles with no hands-on testing behind them
- Unedited AI-generated drafts submitted as final copy
- More than one self-promotional link, or links that don't serve the reader
- Obvious typos or grammar issues that suggest it wasn't proofread
- A topic we've already covered in depth recently
How to Submit
Pitch or submit
Email a short outline or your complete draft to [email protected] with "Guest Post Submission" in the subject line.
Editorial review
Our editorial team reviews the submission for originality, accuracy, depth, and fit within 24–48 hours.
Feedback and revisions
If changes are needed, we send specific, actionable feedback and work with you directly on revisions before approval.
Publication
Once approved, your article is scheduled and published within 1–3 business days with full author attribution.
We manually review every submission — AI-assisted drafting is fine, but unedited AI output submitted as final copy will be declined, and previously-published content (including on your own site) won't be accepted.
Frequently Asked Questions
Is guest posting on Review Publically free?
Yes. Guest posting is completely free — we never charge a submission or publishing fee, and we don't offer a paid fast-track option.
Who can contribute to Review Publically?
Anyone with genuine expertise or hands-on experience in AI, machine learning, deep learning, data science, or related technology topics — including practitioners, researchers, students with project experience, and technical writers. We publish contributors from anywhere in the world; what matters is hands-on expertise and clear writing, not your location or whether English is your first language. Our editors help tighten language during review if needed.
What topics do you accept?
AI tool reviews and comparisons, machine learning tutorials, deep learning architecture explainers, data science and analytics case studies, and practical AI productivity guides. See the topic breakdown on this page for specific angles we're looking for.
Can I send a pitch before writing the full article?
Yes, and it's usually the faster path. Send a two-to-three sentence outline or working title to [email protected] before drafting the full piece — this confirms the topic isn't already covered and saves you from writing a complete article we'd have to decline.
What is the minimum word count for articles?
1,200 words minimum, with 1,500–2,500 words preferred for topics that benefit from deeper, more thorough coverage.
Do you accept AI-generated content?
We accept AI-assisted drafting as part of your writing process, but the final article must reflect genuine human expertise, original analysis, and fact-checked accuracy. Unedited AI output submitted as-is will be rejected.
Do you allow backlinks in guest posts?
Yes, one relevant contextual link to your site or professional profile is allowed within the body, plus a link in your author bio. Links must add genuine value for readers; purely promotional or unrelated links may be set to nofollow or removed during editing.
How long does it take to get published?
Editorial review typically takes 24–48 hours, and approved articles are published within 1–3 business days depending on scheduling.
Can I republish my article elsewhere after it's published here?
We require exclusivity for at least 90 days after publication to protect the SEO value for both parties. After that, you're welcome to republish elsewhere as long as you credit Review Publically as the original source.
Why do guest post submissions get rejected?
Most rejections come down to three things: the topic doesn't fit our AI, machine learning, or data science focus, the piece reads like a generic listicle instead of hands-on expertise, or it wasn't proofread before sending. Following the topic and word count guidelines above solves most of this before you submit.
Submit Your Guest Post
Send your pitch or your complete draft — we read every submission.
▶ Submit Your Guest Post