How often should you publish for AI visibility?
No magic number per week: consistency and freshness weigh more heavily than volume, and updating existing pieces counts just as much.
Lees dit in het Nederlands →$ plan --rhythm=sustainable --horizon=months
How often should you publish for AI visibility?
There's no magic number of articles per week. What counts is a rhythm you can sustain for months, because AI systems weigh freshness heavily: a dated, recently updated page wins over an undated or outdated one. Consistency beats volume, and keeping existing pieces current counts just as much as publishing new ones. This piece gives you a way to choose your own rhythm, not a standard to meet.
The question of how often you should publish is usually asked in the hope of a number. Twice a week, then you're fine. No such number exists, and anyone who gives one has made it up. What does exist is a demonstrable mechanism you can build your rhythm on.
01 / the principleWhy freshness weighs more heavily than volume
AI systems preferentially choose sources that are demonstrably up to date. A page with a visible date and a recent maintenance moment is verifiably current for such a system; an undated page is not, and a page with outdated information is a risk. Undated content therefore loses out to dated content, even when the substance is comparable.
Volume makes little difference either way. Fifty pieces left untouched for three years give off an overall impression of ageing. Ten pieces that are visibly maintained give off the opposite impression. The machine doesn't read diligence, it reads dates. So actually include those dates: a publication date and, where applicable, a line about the most recent update.
02 / the rhythmHow to choose a sustainable pace
Choose the pace you can still keep up in six months' time, not one article more.
The usual mistake is the sprint: eight pieces in the first month, three in the second, then silence. That silence is not neutral. A blog that has visibly stopped ages in the eyes of both machine and reader, and the advantage built up drains away. Three months of publishing nothing is three months of falling back.
An example: one good piece every two weeks that keeps coming beats any sprint that falls silent. And good here means: a real question from your audience, answered in full, following the rules from how to write content AI can cite.
Two practical anchors make a rhythm sustainable. The first is a fixed publication day, so that writing becomes an appointment rather than something for a spare moment. The second is a topic list that already exists beforehand: collect the questions customers asked you this month, and on writing day you never have to figure out what to write about again, only how.
As a decision aid, where the paces mentioned are examples, not norms:
| Situation | Suitable rhythm | Why this fits |
|---|---|---|
| Little time, no help | Low and fixed, for example one piece per month | Best for anyone who has to choose between slow and falling silent: slow always wins |
| Existing archive that's already found | Partly new work, partly maintenance | Best for anyone who already has demand: updating counts as a freshness signal on pages that already have their place |
| Writing can be delegated | Higher rhythm with a fixed publication day | Best for anyone who supplies the topics themselves and keeps control |
| Site technically unreadable, or audience questions unknown | Don't choose a rhythm yet | Fix the basics first: publishing more doesn't help here |
The best publication rhythm is the slowest rhythm that never falls silent.
03 / maintenanceUpdating is publishing too
Half your rhythm doesn't need to be new work.
Updating an existing article counts as a freshness signal: replacing figures with recent ones, rewriting an outdated paragraph, visibly adjusting the maintenance date. For a piece that's already being found, this is often more valuable than a new piece that still has to start from scratch, because you're building on a page that already has its place.
The same applies to tidying up. Information that's no longer correct drags down trust in the entire site. Removing an outdated piece or merging it with a better piece is therefore not a loss but maintenance.
Which piece deserves maintenance first is in your search statistics: the article that's shown a lot but clicked little, or one sitting at a position just out of sight. There's already demand there; an update pushes it over the threshold, whereas a brand new piece has to climb for months.
04 / the limitWhen publishing more doesn't help
There's a ceiling to what rhythm can do.
Publishing more doesn't help when the pieces are thin. Ten half answers don't add up to one whole answer, and mass production of thin variants is actively penalised by search engines. It also doesn't help when you don't know your audience's questions: then you're producing in a vacuum, regardless of pace.
And it doesn't help when the problem lies elsewhere. A site that's technically unreadable to crawlers doesn't become more readable by putting more on it. Don't count on a good rhythm paying off within weeks either: how long the lead time really is can be found in how long AI optimisation takes.
If you're not publishing anything now and you're not getting customers from search traffic either, you don't need to start this just because it's the done thing. A blog without a purpose becomes exactly the kind of stalled blog this piece warns against.
How often should I blog for AI visibility?+
Does updating old articles count too?+
Is publishing daily better than weekly?+
What happens if I don't publish anything for three months?+
What if I don't have time to write?+
Have you been publishing for months but don't know whether AI systems do anything with it?
The scan
This is the baseline measurement: fixed search questions on ChatGPT, Gemini, Claude, Perplexity and Google. Current prices are on the pricing page. You keep the report even without a follow-up.
This text was produced with AI assistance and checked and approved for publication by a human.