From SEO to GEO: How LLMs Are Rewriting the Rules of Brand Visibility

Why the SERP Is No Longer Enough — and What Really Changes in the Era of Answer Engines

Do we want to call it GEO? Fine. It can help us better explain what’s happening — though, to be honest, the name matters less than the concept underneath it.

I started doing SEO before Google even existed. I was dealing with AltaVista, Lycos, then with an Italian engine called Arianna — today five people remember it. Since then I’ve watched link farms arrive, the Pandas, the Penguins, mobile search, featured snippets. Every time, someone shouted that “SEO is dead.” Every time they were wrong — but wrong for the wrong reasons.

This time it’s different.

Not because SEO is dying. What changes is the place where search happens, and above all what changes is what counts in order to be found. The transition from SEO to GEO isn’t an algorithm update: it’s a change of interlocutor.

900M
weekly active users on ChatGPT in February 2026 — up from 100M in November 2023
OpenAI · TechCrunch, Feb 2026
−58%
organic CTR where AI Overviews appear. The figure was −34.5% just twelve months earlier.
Ahrefs, 300,000 keywords · Feb 2026
80%
of brands ranking #1 on Google are not cited by LLMs on the same query
Aragil · 500+ audits, Mar 2026

The Problem No One Wants to Face

February 2026: OpenAI announces 900 million weekly active users on ChatGPT. A year earlier it was 400 million. The fastest growth in the history of consumer digital products — faster than Facebook, faster than TikTok.

In parallel, Ahrefs publishes updated data on 300,000 keywords: where Google AI Overviews appear, organic CTR collapses by 58%. A year earlier the figure was 34.5%. The curve only goes in one direction, and it isn’t slowing down.

37% of consumers already start their searches on AI tools rather than on Google. Not 3%, not 10%: 37%.

The Pew Research Center tracked real behaviour across 68,879 Google searches: when an AI summary appears, only 8% click on a traditional result. 26% close the session after reading the generated answer. 1% click on the links inside the AI Overviews.

None of these three numbers talks about the future. They talk about now.

The SEO You Knew Isn’t Dead. But on Its Own, It’s No Longer Enough.

I want to be clear on this, because the opposite narrative bothers me as much as the denialist one.

Google still holds 91.4% of global searches (StatCounter, Q1 2026) and processes 5.9 trillion searches a year — volume up 18% compared with the previous year. SEO remains an essential investment. Anyone telling you otherwise is selling you something.

The problem is somewhere else. Clicks to external sites have collapsed. Publishers have lost 33-38% of their referral traffic from Google in a single year. SEO gets you to the top of the SERP, but more and more often the SERP no longer generates the click: the user has already read the answer and moved on.

The traffic the SERP no longer generates won’t come back by tweaking meta tags. It’s a question of ecosystem, not technique.

From “Where Do I Rank?” to “What Do They Think of Me?”

For twenty years digital marketing has built strategies around one question: where do I rank? First page, position 1-3, featured snippet. The logic was linear: high visibility → traffic → conversions.

LLMs break this chain at a precise point: the jump from visibility to traffic. You can be first on Google and not exist in any answer from ChatGPT, Perplexity or Google AI Overview, because the model doesn’t consult your position on Google. It consults what it knows, and what it knows is built on the aggregated perception of the web.

GEO isn’t a new technique to add to your stack. It’s the moment you find out whether your brand actually exists, or whether it only existed in the Google SERP.

BrightEdge has documented that 62% of queries generate different brand recommendations between ChatGPT and Google AI. Only 17% produce the same brands across all three platforms.

GEO Doesn’t Forgive Those Who Built Visibility on Artificial Foundations

Traditional SEO has offered shortcuts for years: artificial backlinks, sophisticated keyword stuffing, content built around the algorithm rather than around the user.

LLMs don’t work that way. You can’t buy the backlinks of collective perception. The models synthesise millions of sources, conversations, reviews, mentions and articles. The authority that emerges is the real reputation — the one human beings have built online over time.

Around 80% of brands ranking #1 on Google are not mentioned when the same question is put to an LLM. Four out of five companies have excellent SEO and are invisible to AI models.

This figure often comes back to me when I work with clients who say “but we’ve been first on Google for years.” Yes. And ChatGPT doesn’t know it.

How to Understand What LLMs “Know” About Your Brand: the LLM Brand Audit

Before touching an HTML heading or adding a schema tag, there is strategic work that cannot be skipped. I call it the LLM Brand Audit, and it’s the starting point that separates a structured approach from a simple “let’s add FAQs to the site.”

Phase 1: Mapping — the Complexity of a Simple Question

The first temptation is to open ChatGPT, type something that resembles a prospective customer’s question, and watch whether the brand shows up. It’s a good initial orientation exercise. Stopping here, however, is one of the most expensive mistakes you can make at this stage.

The problem is structural: we don’t really know what users ask LLMs. AI platforms don’t release usage data at a granular level. ChatGPT has no Search Console. Perplexity doesn’t publish the most frequent prompts by category.

The solution isn’t to give up on data, it’s to use the data that exists. The billions of searches performed on traditional engines — Google and Bing first — remain the most representative panel for inferring users’ real intent.

Structured research moves along two axes that need to be analysed separately. I call them brand queries and non-brand queries.

Brand Queries — Those Who Already Know the Brand

Questions in which the brand name is explicitly mentioned. The user already knows who you are: they want to understand a detail, compare you, verify a specific piece of information. Measure: how the LLM describes the brand, with which attributes, alongside which competitors, with what tone.

• “Does Barilla use Italian or foreign wheat?”
• “Barilla vs De Cecco: which pasta is better?”
• “Does Barilla have a gluten-free range?”

Non-Brand Queries — Those Who Don’t Yet Know the Brand

The most strategic questions. The user has a concrete need, looking for an answer — not a specific brand. If the LLM doesn’t cite Barilla here, that user will never discover it through AI. Measure: mention frequency, position within the answer, category topics on which the brand is absent.

• “which pasta holds up best when cooking?”
• “quality pasta for professional kitchens”
• “best Italian pasta for carbonara”

Non-brand queries are the ones that move the market. A consumer asking “what’s the best pasta for making a textbook carbonara?” isn’t looking for Barilla, but if Barilla doesn’t appear in that answer, for that consumer it doesn’t exist as an option.

Phase 2: Gap Analysis

Compare the perception detected with the desired positioning. Where is there a gap? Which attributes are being assigned to competitors that should also belong to you? On which topics are you well placed on Google but not cited by LLMs? This map is the foundation of the editorial plan.

Phase 3: Content Strategy — Topical Authority and Third-Party Sources

The hardest shift for anyone coming from an SEO culture: a language model doesn’t search for keywords, it maps relationships between concepts. The question isn’t “which keyword do I want to show up for?” but “on which topic do I want to be considered the most reliable source?“

There’s one thing that needs to be said and that few articles on GEO really tackle: your visibility in LLMs doesn’t depend only on what you publish on your site. It depends on what the web says about you.

The ecosystem of third-party sources LLMs use to build the perception of your brand: Community (Reddit, Quora, Stack Overflow, industry forums); Review & Rating (Trustpilot, G2, Capterra, Google Reviews, Clutch); Encyclopedic (Wikipedia, Crunchbase, Wikidata, press releases); Industry & Media (LinkedIn, industry podcasts, vertical newsletters, PR interviews).

According to SE Ranking (2025), domains with profiles on four or more review platforms are three times more likely to be cited by ChatGPT.

Phase 4: Technical Optimisation of Content

Only at this point: heading structure, semantic FAQs, structured data, terminological consistency, numerical citations with their source. The study by Princeton and IIT Delhi (KDD 2024) measured visibility increases of up to 40%. Results come in within 60-90 days for Perplexity, and up to 180 days for ChatGPT.

SEO vs GEO: the Differences That Matter

In SEO you work to convince an algorithm. In GEO you work to convince millions of people who have already written something about your brand.

FAQ

The Brand as the Answer

There’s one thing I’ve noticed working on these topics over the last two years: the companies handling the transition best aren’t necessarily the ones that have invested most in SEO. They are the ones that have built something real over time — a recognisable point of view, a reputation earned in the field. For them, GEO isn’t a shock. It’s almost a confirmation.

For everyone else, this is the moment for an honest question: what does the market know about your brand? Not what you communicate — what has stuck, what has settled in the collective perception that LLMs are now synthesising every day, for millions of people?

That answer is worth more than any technical audit. And it is built with data, not with the feeling of doing things right.

In 2026, visibility isn’t ranked. It’s earned. As it has always been for those who did things properly — only now there are no more shortcuts left to cover for those who didn’t. LLMs have simply taken away the alibi from anyone hiding behind a good link-building strategy.