Do I have to optimize my website for each AI separately?

The question almost always comes after the same discovery. Someone notices that an AI mentions them, tries another one, and doesn't show up anywhere — and draws the logical conclusion: if the engines are different, each one has to be worked on separately.

The first part is true. AI engines don't feed on the same web, and the differences between them are documented. In one case, the difference isn't even technical: a major search engine pays around 60 million dollars a year to license content from a social platform and use it in its generated answers.

The second part — that this means you have to chase each engine separately — is where most of the market gets it wrong. And it's not an innocent mistake: it's the premise the industry of tools that monitor your visibility engine-by-engine needs to sell. If the problem were seven separate problems, you'd need a dashboard with seven rows. The available evidence points to something much simpler.

Yes, they feed from different places

Let's start by giving the initial observation its due. If you group the sources each engine ends up citing by origin, what appears isn't a continuous spectrum but three fairly separate blocks.

Pay attention to the third column, because that's where the point of this article lives. The differences between engines are real, but most of them fall on the side you don't control.

Each engine's specific edge is barely worked on: it's bought or inherited

The social diet is the clearest example. There's no improvement you can make to your site that makes up for not being on those two platforms: the reason they get cited isn't a property of your content, it's a licensing contract. And in the case of a model built by the same company that runs a social network, the manufacturer's own documentation states that the model queries that network in real time. It's written in the product documentation — you don't have to infer it.

Something similar, though more gradual, happens with the editorial diet. AI-generated summaries from a major search engine cite government domains three times more than traditional search: they go from 2% to 6% of sources. It's a structural bias toward institutional authority. You can improve your standing there, but if your business isn't a public agency or an established media outlet, competing head-on on that ground is expensive and slow.

Uncomfortable but useful conclusion: chasing each engine separately leads you to invest exactly where you have the least control. It's the strategy that best serves whoever sells you the monitoring dashboard, because it guarantees there's always a row in red to justify next month's subscription.

The common core is bigger than it looks

Now for the good part, which is also the part almost no one tells you. Underneath the three diets there's a set of factors that work the same way across every engine, because they don't depend on which sources each one prefers but on something more basic: how easy it is for a machine to understand what your site says, what it's about, and who backs it.

Those factors are identified in published research and official technical standards, not in a vendor's observation. They are content structure, authority, and verifiable data density (Princeton), the technical markup that explicitly declares what each thing on your page is (University of Nantes), and thematic specificity together with content freshness (University of Toronto).

There's an additional, fairly decisive reason this core performs so well: engines get citation attribution wrong a lot. The Tow Center study measured citation error rates ranging from 37% in the most accurate engine to 67% in the least accurate one. A later peer-reviewed study found an equivalent pattern in fabricated bibliographic references.

A system that gets this confused about who said what is a system where helping it identify you pays off disproportionately. And that — unambiguously stating who you are, what you do, and what you're about — works the same way across every engine, because every one of them has the same problem to solve.

Where you actually win

If I had to sum up the order of priorities in one sentence: don't try to win the general-authority race — win the small question in your field.

A hardware store doesn't compete against an encyclopedia. It competes against other hardware stores. And in that competition, among similar businesses, accumulated authority doesn't set anyone apart — everyone has little of it — while thematic specificity, technical markup, and concrete data density immediately separate the one that answers well from the one that answers in general terms.

What to do about it

The answer to the title question is no, with one small caveat. In order of priority:

• First, the common core. Structure, technical markup, verifiable data, and thematic specificity. It's most of the work, it pays off across every engine at once, and it depends entirely on you.
• Then, a single decision about the social diet. It isn't optimization, it's a presence decision: you're on those two platforms or you're not. You settle it once and don't touch it again.
• The editorial diet, almost never head-on. If you're not a media outlet or an institution, the return on fighting for general authority is low compared to what the same effort yields in the core.

What we don't recommend, and it's the most widespread practice today, is building a dashboard with one row per engine and chasing whichever one is doing worst each month. That exercise feels like control and produces very little, because most of those rows move for reasons that have nothing to do with your site.

The first concrete step is different: measure where your site actually stands on the core factors, with numbers instead of impressions. That's where every point you gain translates into something real.