Different Types Of AI and Machine Learning Content


1: Knowledge Base Articles (including 'Guides' and 'Reviews')

Knowledge base articles are Wiki-style features intended to prime the reader on a topic. This category of writing is also covered by the terms 'guide' and 'review'.

A good knowledge base article is likely to rank well in SEO terms, producing long-term advantage. However, it may take longer to rise in the rankings than topical 'feature' material.

A knowledge base article may be aimed at a professional audience, which already has some background understanding of the subject's context in AI/ML, or at a general audience, with a more limited understanding, and will require a more 'guided' approach.

Usually it's expected that the articles will either be updated regularly or replaced with subsequent articles that have the latest information.

A knowledge base article is research-intensive, since it has to be comprehensive and current at the time of publication.

Examples From My Portfolio:

The Research Aspect Of Knowledge Base Articles
Since this kind of article has to be authoritative, there is not much difference in the research effort needed to produce a 500 word article compared to a 2000 word article – in both cases, you need to have all the latest relevant information, before you can start editing out less relevant sections of it (for shorter pieces).

Since research is often 80% of the entire work involved in a Knowledge Base commission, there is no 'cheap' tier for this kind of output.

2: Feature Articles

Feature articles have an 'angle' on a topic – a central argument that is presented and backed up with evidence throughout the feature. The angle might be to create a 'top 10' list, to compare various leading technologies, or to examine the potential consequences of a current trend or development in AI/ML.

Gaining Audience With Features
A good feature article can gain SEO traction more quickly and at higher volumes than a Knowledge Base article, though it may have a shorter shelf-life in SEO terms.

This kind of output is useful for obtaining a large audience share quickly – though retaining that interest will depend on the quality and frequency of your wider content stream.

Examples From My Portfolio:

3: News Articles

News articles are typically 450-900 words in length. Being the first to break a story can bring high volume traffic to your domain. I market all my own news stories at sites such as Hacker News, and frequently gain traction for my work at such 'referral domains'.

Even where your story is not the first to cover a news topic, a regular stream of well-written news content can get your domain automatically enrolled as a Google News provider – a boon to the authority of your site.

Some caveats:

Most of my successful and traffic-obtaining news items come from the current AI/ML research scene. I have a dedicated and customized system for obtaining fresh news, since there isn’t much point in re-reporting something that The Verge just covered.

Examples From My Portfolio:

4: News Features

A news feature is a second bite at the cherry if someone else broke the news first, but lacked time to analyze its significance, due to the pressure to publish early – or even if you wish to follow up on interest in your own news article.

Though they need to be as coherent and researched as any other feature, news features are also time-sensitive, and usually written under some pressure.

The main advantage of a news feature is that it can ride the wave of current interest in a breaking or recent story, and offer a reflective dimension that may be lacking in other coverage at that time.

Consequently, there is a good chance of gaining referral traffic and growing an audience via news features, not least because a feature usually has a longer shelf life than a straight news reporting piece.

Examples From My Portfolio:

Other Types Of Content

Besides these, there are other possibile types of content that may be needed. They include: