Why AIs recommend your competitors (and not you)

How an AI picks the brands it names

When asked for a recommendation, an AI draws on what it has read: your website, comparison articles, customer reviews, press, reference directories, forums. The more clearly a brand is described, in the places AIs consult, the more likely it is to appear in an answer.

It is not about size. A study presented at the KDD 2024 conference by researchers from Princeton and Georgia Tech shows that better-structured, better-sourced content can gain up to 41% visibility in AI answers. Modest but well-documented companies overtake bigger but unreadable players.

The most frequent causes of absence

Across the pre-diagnoses we run, the same causes come up. The website is hard for AI crawlers to read: key information locked in images, pages that only load through scripts, access accidentally blocked. Information is scattered or contradictory: the activity described differently across pages, prices nowhere to be found, an address that differs between the website and directories.

Another major cause: no third-party sources. If nobody but you talks about you — no reviews, no articles, no comparisons — the AI has no reason to prefer you over a competitor documented by ten sources. Finally, staleness: content untouched for years signals a dormant brand.

What recommended brands do

Brands that AIs treat well share simple habits. Each of their pages answers a real customer question, with a direct answer in the first lines. Their key information — activity, offers, prices, service area — is stated in plain text, identical everywhere. They maintain reviews and appear in the sources AIs read for their sector.

And they keep things current: recent content is picked up by AIs far more than old content. Freshness is not cosmetic — it is one of the strongest signals.

Where to start

Before fixing anything, measure. Without a baseline you optimise blindly — and you will never know whether the effort paid off. Our free pre-diagnosis gives you that starting point: your presence rate in AI answers on your market, the competitors named instead of you, and what AIs say when asked about you.

The decisive role of third-party sources

AIs do not just read brands' own sites: they trust what others say about you more. Customer reviews, comparison sites, press articles, forum discussions, sector directory listings — it is in this fabric of independent sources that AIs draw on to decide who to recommend. A brand strongly present in those sources starts with a head start.

That is often where the gap with your competitors is decided. If they are talked about on the right sites, in the right terms, and consistently, AIs treat them as safe references. If you exist almost only on your own site, you carry less weight — even with a better offer. Closing that gap is a matter of external presence, more than self-description.

Taking back control, step by step

The first step is not to act, but to understand: on which questions are your competitors cited in your place, and which sources do AIs seem to favour to recommend them. Without that read, you optimise blindly. With it, you know exactly where to focus.

Then comes the groundwork: clarifying what you do and for whom, on your site and on the third-party sources that matter in your sector; earning reviews and mentions where AIs look for them; and correcting false or outdated information that works against you. None of these actions is instant, but all are measurable — you watch share of voice shift over time.