Strategy
The difference between appearing on Google and appearing in AI
Two distinct layers of visibility, two types of user decision and two different strategies.
'We already have good Google positioning, so we should be fine in AI too.' That's the phrase we hear most often in early conversations with clients. And it's almost always incorrect. SEO and AI visibility aren't the same discipline applied to different channels. They're fundamentally different disciplines that respond to different logics. Understanding that difference is the first step to not wasting resources in the wrong direction.
The core difference: results vs. responses
Google returns results. It ranks pages according to its algorithm and presents the user with a list of options to choose from. The final decision is made by the user when they click.
A generative AI engine returns responses. The model has already made a decision about what to include, how to describe it and what to recommend. The decision happens before the user sees anything.
This difference has enormous implications for brands. In Google, if you appear on the first page you have visibility — the user can choose you or not. In AI, if you're not in the response, you don't exist for that user at that moment. There's no second row.
Why SEO doesn't guarantee AI visibility
SEO optimizes for the factors Google's algorithm (and other search engines) uses to rank pages: domain authority, inbound links, loading speed, technical structure, keyword density, search intent.
None of those factors directly transfer to how an LLM builds its knowledge about a brand. An LLM didn't crawl your page when it was trained. It processed text — from your website, from what has been written about you, from how you're mentioned, from what context appears around your name.
It's possible to have excellent SEO and be invisible in AI. It's also possible to have mediocre SEO and appear well in AI if the right semantic signals are in the right places. The two worlds overlap at some points — good content helps in both — but the strategy for each is different.
What you need to do differently for AI
Think in categories, not keywords. SEO works with specific keywords. AI visibility works with concepts and categories. AI needs to understand which category to classify you in before it can recommend you.
Prioritize coherence over volume. In SEO, more quality content usually helps. In AI, coherence between sources weighs more than volume. Ten sources saying the same thing is worth more than a hundred saying different things.
Work external sources, not just your own website. SEO can be done almost entirely on owned assets. AI visibility requires presence in the external sources the model weights as authority in your sector.
Measure differently. The KPI for SEO is search engine positions and organic traffic. The KPI for AI visibility is mentions in generative responses, accuracy of categorization and quality of the context in which you appear.
SEO will remain important. But the user who makes decisions based on what AI tells them is a different user, in a different channel, with a different logic. Brands that understand this first will have an advantage. Those that wait until it becomes urgent will arrive too late.
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