Guides
How to become a brand AIs recommend
There is no "get recommended by ChatGPT" button. But there are concrete levers, within reach of any company, that measurably increase the probability of appearing in AI answers. This guide presents them without jargon — and in the order it makes sense to pull them.
Answer the questions your customers ask
AIs assemble their answers from content that already answers the question asked. A page that clearly answers "how much does [your service] cost?" or "how to choose [your type of product]?" is far more likely to be picked up than a showcase page describing you in general terms.
The right reflex: one page per real question, with the answer in the first lines, then the detail. Your sales team and customer service know these questions by heart — they are your best editorial raw material.
Be readable for AIs
AIs read your website like a hurried visitor: if your essential information — what you do, for whom, where, at what price — is buried in images, animations or downloadable documents, it does not exist for them. State the essentials in plain text, on accessible pages.
Also check that your website does not accidentally block AI assistants' crawlers: it happens more often than you would think, notably through misconfigured anti-bot protections. A website invisible to AIs never feeds their answers.
Exist where AIs read
Your website is not enough: AIs cross-check several sources before naming a brand. Customer reviews, your sector's reference directories, press articles and independent comparisons carry real weight. A modest but consistent presence on three or four reliable sources beats a massive but contradictory one.
Consistency is the key word: same name, same activity, same address, same price ranges everywhere. AIs detect divergences, and a brand with contradictory information inspires cautious — or invented — answers.
Keep it fresh, then measure
Recent content is picked up by AIs far more than dormant content. Dating your pages, refreshing your offers, publishing regularly even modestly: freshness is a strong signal. A website frozen for three years sends the opposite message.
Finally, measure: without measurement, you cannot know whether the effort pays off. Establish a baseline — what share of your customers' questions triggers an answer that names you? — then re-test after each wave of improvements. That is precisely what our free pre-diagnosis does, and it is the right first step before committing any budget.
What really weighs in how AIs choose
AIs do not draw their recommendations at random. Four factors recur. Clarity: a brand whose activity, target and offer are clearly stated is easier to cite than a vague one. Third-party signals: reviews, press mentions, presence on comparison sites and sector forums — the social proof AIs cross-check. Consistency: the same story told everywhere, without contradiction. And freshness: up-to-date information, rather than a site frozen three years ago.
None of these factors is decreed in one go, but all are built. A brand improving on these four dimensions gradually becomes a "safe" choice for AIs — the one they cite when asked for a recommendation, because it is documented, consistent and verifiable.
Measure before you act
The temptation is to launch into action on all fronts: redo pages, multiply reviews, publish everywhere. Without a quantified starting point, you do not know whether it helps. The right sequence is the reverse: first measure your current presence in AIs, identify on which questions you are missing and who is cited in your place, then focus effort where it will weigh most.
That baseline measurement also serves as a reference: three months later, you ask the same questions again and see what moved. It is the difference between acting on feel and steering a progression. Our free pre-diagnosis gives you that starting point — a quantified read of your AI visibility, in your market's language, with where your competitors stand.
Frequently asked questions
Do you need a big budget to be visible in AIs?
No. The main levers — pages answering real questions, consistent information, maintained reviews, freshness — are more about method than budget. Spending comes later, if you choose to be supported to move faster.
Can my agency handle it?
Yes, and it is often the right setup: you keep your usual partner, who equips themselves to measure and manage your AI visibility. If you already work with an agency or consultant, share your pre-diagnosis with them — they will know what to do with it.
How long before you see an effect?
Answers relying on web search can move within weeks. Those coming from the models' memory evolve with their new versions, several times a year. Hence the importance of measuring regularly rather than judging on a single test.
Is there an "SEO" for AIs, like for Google?
Not in the usual technical sense: there are no magic tags or keywords to stuff. What counts is closer to reputation than to classic ranking — being clearly described, consistent and well echoed by reliable sources. The levers exist and can be measured, but they are about substance, not a trick.
How long before I see an effect on my AI recommendations?
Expect several weeks to a few months depending on the channels: live web search reacts fairly quickly once your sources are updated, the models' memory much more slowly. It is groundwork measurable quarter after quarter, not an instant setting — hence the importance of a baseline measurement from the start.