AI blogs that accept guest posts include some of the best-known data science and machine learning publications. Well-known names that take outside writers include Towards Data Science, KDnuggets and Analytics Vidhya, alongside hundreds of smaller AI blogs. Pick sites whose readers match your topic, read each site's current guidelines and pitch one specific idea.
AI is the busiest topic in tech, and everyone wants to write about it. AI startups, software companies, consultancies, data teams and agencies building with AI all want to reach readers who are trying to understand it or use it, and AI sites are drowning in pitches.
That makes the good AI sites choosy. They want writers who have built something, measured something or used AI in real work, and they turn down generic posts about how AI will change everything.
This page sits alongside my free list of websites that accept guest posts, which covers sites across every niche.
Which AI blogs accept guest posts?
These are long-running AI publications that are known for running work from contributors, freelancers or guest writers. Each one works differently, so treat this as a starting point:
- Towards Data Science: a long-running data science and AI publication built on contributor articles.
- KDnuggets: a long-established data science and machine learning site that accepts contributed posts.
- Analytics Vidhya: a data science community that publishes articles from its members.
- HackerNoon: a technology publishing platform with a large AI and machine learning section.
- Unite.AI: an AI news site that publishes thought leadership from industry contributors.
- DZone: a developer community whose AI zone runs articles from practitioners.
The data science sites above have their own editorial reviews and often reject posts that read as promotion, so check their current submission process. Guidelines change, and some sites pause submissions for months at a time, so read each site's current pitch or write for us page before you send anything.
Should you aim for the big names or smaller AI blogs?
The famous AI titles are worth a pitch if you have real expertise and patience, but they get far more pitches than they can use, and many only work with writers they already know. Smaller AI blogs with a loyal readership are often the better first step. They reply faster, they're more open to new writers, and a post on a focused site that your buyers read can do more for you than a line on a huge site they never visit.
Whichever you choose, judge a site on its readers and how it looks after them, not on one metric. A site that still publishes, edits with care and has real people commenting is worth more than a bigger site that publishes anything.
Technical, applied or AI for business?
AI sites write for different readers:
- Technical sites want tutorials, code and deep dives on models, training and evaluation.
- Applied sites want case studies of AI used on a real problem, with results.
- News and opinion sites want analysis of new models, policy and industry moves.
- Business sites want posts on adopting AI, choosing tools and changing how teams work.
Developer tools fit best on technical sites. AI products for business teams belong on the business sites, where a clear use case is the point.
What do AI editors want?
Substance. AI editors want posts with working code, real examples, clear results or a strong argument backed by evidence. Say what you tried, what happened and what didn't work. Hype and vague predictions get rejected fast.
They also want accuracy about limits. Readers trust writers who are honest about where AI falls short, what it gets wrong and what still needs a human to check it.
Free guest post or sponsored post on an AI blog?
Free contributions are common on community and data science sites, if the post teaches something and isn't a sales piece. News sites are more selective. Sponsored posts are faster and more predictable, which suits AI companies launching a product or feature.
How do you check an AI blog before you pitch?
- Read the three newest posts. Is the site still publishing, and who writes for it?
- Find the current guidelines. Look for a write for us, contribute or pitch page, and check its date.
- Check for code and examples. AI posts with real examples and named writers show a site practitioners read.
- Find a name. A real editor you can email beats a form that never replies.
- Ask if posts are permanent. Some sites prune old content in clean-ups.
There's more in how to check backlink quality and my guide to high DA guest posting sites. AI overlaps with tech and web building, so my technology blogs that accept guest posts and web design blogs that accept guest posts pages are useful places to widen your search.
How should you pitch an AI blog?
Lead with the problem and the result. "How we used a small language model to sort support tickets, and what it got wrong" is a pitch. "An AI article" is not. Say what you built or used and your role.
Keep links to things readers can use. A link to a repository, a notebook, documentation or a detailed guide is easy to approve. A link to a sign-up page in the introduction isn't.
Move quickly. AI changes every month, so a post that's timely today can feel stale by the time it's edited. Send clean copy and reply fast.
Can you place an AI post on my blog?
Yes, when it's about AI in marketing or business: AI tools for marketers, using AI in content, AI visibility in search, or how small businesses adopt AI. lilachbullock.com is a marketing blog that's been publishing since the dial-up days, with thousands of indexed articles, and my readers are business owners, marketers and entrepreneurs, mostly in the USA and the UK. Technical machine learning tutorials suit the sites above better. Guidelines are on my AI and generative AI pages.
How placing a post on my blog works
- Email lilach@lilachbullock.com, or start on my write for me page, with your target URL, topic and niche.
- I reply with whether it fits and which format I'd pick: a new sponsored post or a link insertion into an existing, indexed article.
- You send the article, or I choose the right existing article for your link.
- I edit, publish and send you the live URL.
Accepted posts usually go live within 24 to 48 hours of everything being agreed. Placements are permanent. I invoice by PayPal, and if you're an agency, I never contact your client.
If you're weighing up where to place a post, how buying a guest post on my blog works explains what you get and what I turn down.
Placing an AI post? Email lilach@lilachbullock.com with your target URL, topic and niche, or start on my write for me page. Agencies and repeat buyers are welcome.
Frequently asked questions
Which AI blogs accept guest posts?
Well-known examples that take outside writers include Towards Data Science, KDnuggets, Analytics Vidhya, HackerNoon, Unite.AI and DZone. Check each site's current guidelines before you pitch, because they change.
Do AI blogs accept guest posts from companies?
Many do, if the post teaches something useful and doesn't read like an advert. Read each site's current guidelines, because several review submissions closely.
What should I pitch an AI blog?
Pitch a specific example, tutorial or argument with real results or evidence, and be honest about what the AI couldn't do.
Can I place an AI guest post on lilachbullock.com?
Yes, if it's about AI in marketing or business. Email your target URL, topic and niche and I'll tell you if it fits.