The challenges of GEO: why build it into your digital strategy now?

GEO, or Generative Engine Optimization, covers all the practices aimed at optimizing a brand's presence in the answers generated by artificial intelligence. As ChatGPT, Perplexity, Gemini or Copilot gradually become essential entry points in how people look for information, being mentioned, cited or recommended by these systems is becoming a real strategic challenge for brands.

Why is GEO becoming a challenge for brands?

User behavior is changing. Rather than typing a query into a search engine and scrolling through a list of results, a growing share of users ask their questions directly to AI assistants. This shift is far from anecdotal: it affects sectors as varied as healthcare, consulting, e-commerce and B2B services. Every serious study of recent digital habits confirms this upward trend, driven by the rapid improvement in the quality of generated answers.

For brands, this means that part of their potential audience will no longer go through their website to find an answer. They will receive it directly, written by an AI, without necessarily clicking on anything.

Fewer clicks from search engines

Zero-click search existed before generative AI: Google's featured snippets sometimes answered a question without the user going any further. With AI answers, this phenomenon is growing. Organic traffic from search engines may decline, not because the content is worse, but because the answer is now provided before the user even needs to visit a website. Understanding the scale of this phenomenon involves analyzing LLM traffic, a metric that is still underused but increasingly valuable.

A new touchpoint with customers

The AI answer often becomes the first contact between a user and a brand. Before visiting the website, reading an article or checking a review, the user receives an automatically generated summary. If your brand is well represented there, it is an opportunity. If it is missing, inaccurate or poorly described, it is a direct risk to perception and conversion. This silent first contact deserves as much attention as any other touchpoint in the customer journey.

What are the main challenges of GEO?

GEO is not just about "appearing in AI answers". It covers four distinct dimensions, each with its own challenges.

Visibility: being mentioned and cited

There are two levels to distinguish. Being mentioned means seeing your name appear in an AI answer, sometimes vaguely or in passing. Being cited as a source means seeing your content explicitly referenced, with a link or clear attribution. A citation strengthens perceived credibility and increases the likelihood that the user will go further. To get there, simply existing online is not enough: you need to produce structured, reliable content that is clear enough for language models to include in their answers. Search Ai's optimize to get cited more tool supports exactly this work.

Brand image: controlling what AI says about your brand

AI is not neutral. It summarizes what it has learned, and what it has learned can be inaccurate, outdated or incomplete. A brand that has evolved, changed its positioning or moved past an old reputation can end up wrongly described in an AI answer without even knowing it. Understanding how artificial intelligence perceives you is therefore a priority. The understand how AIs perceive you feature lets you audit this automatically generated image.

Measurement: tracking unstable visibility

AI answers are not fixed. The same question asked twice can produce two different answers, with brands cited differently depending on the context, the wording or the model used. This instability makes tracking complex. That is why regular prompt tracking is essential: it shows which answers your brand appears in, how often and in what form. Without this tracking, there is no way to know whether your GEO efforts are paying off.

Organization: upskilling your teams

GEO is not just for SEO teams. It involves marketing teams, writers, content managers and sometimes technical teams. Everyone needs to understand how AI consumes and rephrases information, which requires collective upskilling. Whether it is better to train in-house, recruit or outsource this expertise is covered in detail in this article on training teams in GEO.

Why build GEO into your digital strategy now?

GEO is not a passing trend. It is a structural shift in digital habits, and brands that get involved early will gain a real competitive advantage. As with SEO in its early days, results are not immediate: it takes time for optimized content to be picked up by the models, for presence to stabilize and for teams to develop the right reflexes. Waiting for the topic to "mature" means leaving the field to those who started before you.

GEO does not replace SEO. It complements it. Content that ranks well on Google is more likely to be included in AI answers. The two disciplines reinforce each other, as long as they are treated as complementary rather than competing levers.

Where to start?

Here are the first concrete steps to build GEO into your strategy:

1. Run a free GEO audit to measure your current presence in the answers of the main AI models.
2. Set up tracking of the prompts that matter in your sector, to see how your brand is represented over time.
3. Optimize your existing content so it is easier to cite: clear structure, direct answers to frequent questions, stronger topical authority.
4. Train your teams on the specifics of GEO, deciding who owns the topic internally or whether outside support is a better fit.
5. Analyze LLM traffic to quantify the real impact of AI on your visits and adjust your strategy accordingly.

Search Ai is a tool designed to support each of these steps, from the first audit to the ongoing tracking of your visibility in generative answers.