SEO vs GEO: How Is Online Visibility Changing in 2026?

For twenty years, being visible online meant one thing: appearing as high as possible in Google's list of links. In 2026, a growing share of searches ends differently: with a written answer and a few cited sources, produced by Google AI Overviews, ChatGPT, Perplexity or Gemini. The user no longer necessarily clicks, they read the summary.

Two acronyms now compete in conversations: SEO (Search Engine Optimization) and GEO (Generative Engine Optimization). This article explains how they really differ, what they share, and how a small business can move on both without doubling its work. If GEO is new to you, our guide on making your business visible in AI search engines lays the groundwork.

SEO aims to get a page ranked among a search engine's results. Success is a position, then a click. GEO aims to get a piece of content, or a brand, cited in an answer generated by an AI. Success is a mention, with or without a click. In the first case you compete for a place in a list; in the second, for a sentence in a text.

This difference changes the unit of work. In SEO, you optimise a whole page around a query. In GEO, the AI splits pages into passages and extracts a chunk of one to two hundred words that answers the question directly. A clear, self-contained, factual paragraph therefore matters more than a long text that ranks well but is diffuse.

The two disciplines are not opposed, though. Most AI engines rely on classic search indexes to find their sources: a poorly indexed or poorly ranked site has little chance of being cited. GEO does not replace SEO, it stacks on top of it.

The foundations do not move: a fast, HTTPS-accessible, well-structured site with no indexing errors and useful content written by someone who knows the subject. No GEO trick compensates for a site that robots cannot read.

Authority also remains central. Classic engines rely on inbound links, AI engines on brand mentions, meaning how often a business is cited, consistently, by independent sources: directories, trade press, forums, customer reviews. In both cases, reputation is built off your own site, over time.

Quality content finally remains the common base. An article that answers a real question precisely, with lived examples and verifiable figures, serves both logics. We have seen it on our own sites: articles that are too general and follow the news pile up impressions in results without producing a single click, because content that answers no precise question attracts neither readers nor customers.

A practical point, often neglected: speed and mobile display. A large share of searches, classic and conversational, happens on phones. A page that is slow or hard to read on a small screen loses readers before they reach the answer, and engines factor it into their quality criteria.

First change: the answer first. A section should start with the direct answer, in one or two sentences, before expanding. An AI trying to answer 'how much does a showcase website cost?' will prefer the passage that states a range in the first line over one that opens with three paragraphs of context.

Second change: headings phrased as real questions. People now ask AIs in full sentences, and a heading that echoes the question as asked eases matching. This explains the question form of most titles in this log.

Third change: attributable facts. Sourced figures, crisp definitions, proper names, dates: passages rich in verifiable elements are easier to cite than general talk. Research on the subject has shown that adding statistics, quotes and sources to a text clearly increased its likelihood of being picked up by a generative engine, by several tens of percent in their experiments. The effect depends on the engine and topic, but the direction is constant: precision pays.

In SEO, Search Console gives impressions, clicks and positions. For GEO there is no equivalent official tool, and that is a real difficulty: a business can be cited without any click being recorded. Three practices give a clear picture on no budget.

The first is to test, once a month, about ten questions your customers would really ask on ChatGPT, Gemini and Perplexity, and note who is cited. The second is to track in your analytics tool the traffic from chatgpt.com or perplexity.ai, small but telling. The third is to watch, in Search Console, queries phrased as questions: their growth shows your content fits the expected format.

Do not expect results within days. Indexes and models update at their own pace, and a rewritten page can take weeks to appear in an answer. Measure by quarter rather than by week, and keep a simple table: date, question, engine, result.

Start by checking the basics, because that is where the quickest gains hide: is the site indexed, does robots.txt allow the useful bots, are key pages readable without JavaScript? A one-hour check often fixes blockages nobody had seen.

Then rewrite your key pages in question-and-answer format: one page per service, with a question heading, a direct answer, indicative prices and a short FAQ. Add structured data, which helps engines understand who you are and what you offer. Finally, work on your presence off the site: an up-to-date business profile, professional directories, customer reviews, a few mentions in local or trade press.

Rhythm matters less than consistency. One useful article a month that answers a real customer question precisely beats four generic texts. To choose topics, start from the questions your prospects already ask you: that is the best indicator of what AIs will be asked to answer for them.

Take a service page as an example. Instead of a title such as 'Our services', write 'How much does a showcase website cost?', answer in the very first sentence with a price range, explain what makes it vary, then add three or four frequent questions. That single page serves classic search, which finds its query there, and AIs, which find a passage ready to cite.

The first mistake is believing GEO boils down to a technical trick. You regularly read that adding a particular file at the site root is enough to be cited by AIs. No major engine has shown that such a file alone changes any result: it is always content, structure and reputation that make the difference. Technical shortcuts do not replace a useful site.

The second mistake is writing for machines. A text stuffed with repeated phrasing and artificial questions is quickly spotted and serves nobody. The right test is simple: reread your page as a customer in a hurry. If it clearly answers their question, an AI will know how to use it; if not, no optimisation will save it.

The third mistake is trusting those who guarantee results. Nobody controls what ChatGPT or Gemini choose to cite, and engines regularly change how they work. A serious provider talks about probabilities and method, not first-place promises. Beware of the opposite too: dropping SEO 'because everything goes through AI' would be a costly mistake, since AIs still rely heavily on it.

SEO and GEO do not exclude each other: the first ensures you are found and credible, the second that you are picked up when an AI answers in the user's place. The sensible strategy for a small business is to consolidate its SEO foundations, then adapt its content to the format AIs can extract: direct answer, question as heading, verifiable facts.

If you want an outside view of your site's visibility, that is precisely where La Fabrik Numérique supports businesses. You can also read our article on how to get your app featured in AI search results, or write to us from the contact page.