An AI cites a company when it finds, on the web, a clear, factual, and consistent answer to the question asked, attached to a brand it recognizes. Not the one ranked highest on Google. The one that’s easiest to lift. That’s the whole point of GEO, optimization for generative engines: moving from being a link in a list to being a source that gets recommended. And it doesn’t play out on the same levers as classic SEO.
SEO and GEO: what actually changes?
SEO aims for a position in a list of links. The user sees ten results and clicks. GEO aims for a mention in a written answer. The user reads a synthesis from ChatGPT, Perplexity, or a Google AI Overview, and often opens no link at all.
The consequence is brutal: your goal is no longer the click, it’s the citation. Being the company the AI names when someone asks “which web studio for a demanding mid-sized company in France.” You no longer win a visit, you win a recommendation, voiced by a machine the user believes to be neutral.
Good news, and it counts: the foundations remain shared. A fast, clean, structured site with substantial content serves both. Bad news, the keyword-stuffing tricks that still half-worked in SEO get no traction at all in GEO. An AI isn’t fooled by a page bloated with keywords, it’s looking for a statement it can cite without getting it wrong.
Why does an AI cite one company rather than another?
Because it trusts the answer, and it knows who to attribute it to. Four levers build that trust.
Structured, factual content. Models lift short, self-contained passages that answer a question directly. A page that poses the question in a heading then answers it in the first sentence is ten times more citable than a block of prose where the information is buried. Give verifiable figures, real ranges, sharp definitions. An AI loves a sentence it can pull out of context without betraying it.
Entity and brand consistency. The model has to understand who you are, and find the same story everywhere. Same name, same activity, same promise on your site, your business listing, your profiles, the directories. If one page says “premium web studio” and another says “360 communications agency,” you dilute your own identity. When in doubt, the AI cites someone more legible.
External mentions and citations. A claim only you make is worth less than a claim echoed elsewhere. Articles, customer reviews, trade press, citations on reference sites: these are the signals that turn “they say so” into “it’s true.” GEO rewards reputation as much as content.
Technical accessibility to AI crawlers. If the bot can’t read your page, none of the rest matters. Concretely: structured data (Schema.org in JSON-LD) that describes your company and your offers, content rendered server-side and readable without running three megabytes of JavaScript, and increasingly an llms.txt file at the root that sums up your site for the models. A site that only shows its text after a long JavaScript render makes itself invisible to the more impatient crawlers.
What mistakes make an AI ignore you?
The same ones that already weighed SEO down, only worse, because an AI decides faster than a human scrolling.
Thin content first. Three vague paragraphs that could describe anyone give nothing to cite. The model needs precise substance, otherwise it goes looking for it at a more talkative competitor.
Contradictions between your pages next. One price here, another there. A delivery promise that changes from one page to the next. When your own pages contradict each other, the AI doesn’t know which to believe, so it doesn’t cite you, out of caution. Internal consistency isn’t a tidiness detail, it’s a citability criterion.
Mass-produced slop, finally, the most current trap. Stacking up dozens of articles churned out by AI, with no editing, no point of view, no real expertise, it shows. Models learn to devalue content that reeks of industrial generation. Twenty hollow pages weigh less than one dense page written by someone who knows their subject. The irony of 2026: to be cited well by the AI, you have to write better than an AI left to its own devices.
How does Inleven handle GEO?
Inleven is a premium French web studio that has been designing and building custom sites since 2018, delivered in seven days. GEO isn’t an option bolted on at the end, it’s built into the way the sites are made.
Technique first. Inleven sites are statically rendered: the text is in the HTML, immediately readable by any crawler, with no heavy JavaScript render to push through. Fast, too, because a slow site is a site that reads poorly, machines included. The studio’s real numbers: LCP between 2.0 and 2.4 s, CLS at 0, a Lighthouse Performance score of 96 to 99, accessibility 100/100. These foundations serve Google, AI Overviews, ChatGPT, and Perplexity all at once.
Structure next. Clean structured data, headings phrased as real questions, direct answers at the top of each section, pages consistent with one another. The content is built to be lifted, not just read.
The human last, and that’s the point that makes the difference in the age of slop. AI speeds up the work, it doesn’t conceive it. A real designer designs, a real writer writes with a point of view. That’s what produces content a model judges worth citing, rather than one more to ignore. It’s all detailed on our SEO and GEO page.
On the commitment side, the subscription starts at 49 €/month and you remain the owner of your domain, your content, and your code from day one, which means your visibility work belongs to you, not to a provider. The breakdown of the plans is on the offer page, and if the budget question is on your mind, we dug into it in how much a website really costs in 2026.
Want a site that Google and the AIs understand and recommend? Start with our SEO and GEO page, or write to us via the contact page.