What GEO is — and why it demands a new software category.

Every new software category is born when behavior changes faster than the tools. That's what happened with SEO when Google replaced the directories. It's happening now with GEO. In 2026, more than two hundred million people ask ChatGPT for opinions every week, and Google serves generated answers in AI Overviews before showing a single blue link. The consumer who once chose among ten results now receives an answer that mentions two or three brands. If yours isn't one of them, you don't exist in that search — no matter how good your product, your team, or your site is.

The good news: this problem is solvable, and most Brazilian companies haven't yet realized they need to solve it. The window is open.

The full definition

Note the word entity. SEO rewards pages; GEO rewards brands as concepts. A ChatGPT that has learned that "Acme Consulting, headquartered in Curitiba, serves fintechs undergoing digital transformation" can cite Acme in answers to hundreds of different prompts, without ever accessing its site in real time. The fundamental unit of GEO is the entity — not the URL.

Why GEO emerged now

Three things happened almost at once. First, ChatGPT crossed two hundred million weekly users and became the fastest consumer software product to reach a billion monthly visits. Second, Google rolled out AI Overviews to more than a billion people — and inside them, answers frequently cite two to four brands without the user clicking anything. Third, models like Perplexity and Claude started showing up in real B2B sales cycles: corporate managers walk into meetings saying "I asked Perplexity about vendors for X and it recommended A, B, and C".

Where there used to be a list of ten links, today there's an answer with three names. If you're not one of the three, you don't exist.

What does this mean in practice? That the unit of competition has changed. It used to be SERP position; today it's citation frequency. And that frequency depends on signals SEO doesn't optimize for — and, in some cases, doesn't even measure.

What changes from SEO to GEO

SEO is still relevant. Anyone claiming "SEO is dead" is selling something. But SEO addresses a specific surface: result pages in traditional search engines. GEO addresses a different surface — the generated answer — and demands different signals.

The fundamental point: SEO targets ranking, GEO targets retrieval. Ranking is an ordering among pages; retrieval is an AI's decision to include your brand in the answer or not. Optimizing for ranking does not automatically optimize for retrieval.

The four signals AIs look for

After auditing hundreds of sites and cross-referencing citation data across four different engines, I identified four dimensions that consistently move the needle. It's not an exhaustive list — it's the Pareto base.

1. Technical accessibility

The bot needs to be able to read your site without friction. That means a permissive robots file, an up-to-date sitemap, HTML that renders without heavy JavaScript, content present in the server-side response. Many sites built on modern SPA frameworks fail here silently: the human user sees everything, the bot sees an empty page.

2. Semantic structure

JSON-LD schema for the entity (Organization, SoftwareApplication, Service), a coherent heading hierarchy (one h1, logical h2s), and explicit descriptions that say what the entity is — not just what it does well. JSON-LD is the most direct way to tell an AI "this entity is called X, operates in Y, is located in Z".

// The minimum viable Organization schema
<script type="application/ld+json">
{
  "@context": "schema.org",
  "@type": "Organization",
  "name": "Your Company",
  "description": "Digital transformation consultancy, Curitiba",
  "url": "https://yourcompany.com",
  "sameAs": [
    "https://linkedin.com/company/yourcompany",
    "https://github.com/yourcompany"
  ]
}
</script>

3. Citable content

One-sentence definitions, data with sources, concrete examples, explicit questions and answers. Language models prefer text that is already in answer format — because copying is cheaper than synthesizing. That's why FAQ sections work so well: they literally hand over a ready-made question and answer.

4. External trust

AIs learn about you mainly from what other sites say. Media mentions, listings in industry directories, citations on authoritative sites — all of it forms the consensus the model internalizes. In particular, LinkedIn has become the most-cited source by LLMs in commercial queries, for three reasons: open crawl, data in a consistent format, constant editorial freshness.

The model doesn't know you from your "About" page. It knows you from the sum of verifiable mentions about you across the entire internet.

Who should care

GEO isn't universally urgent. In decreasing order of priority:

• Professional-services SMBs — consultancies, law firms, accounting practices. Clients research vendors in AI before asking for a referral. Here the ROI is most immediate.
• B2B SaaS with long sales cycles — the buyer runs dozens of searches before the call. Being cited in the early searches is a competitive edge.
• Niche e-commerce — products searched by specialists, not by "buy X cheap". AI-generated reviews and comparisons have become the first step of a purchase.
• Marketing agencies — because they need to deliver GEO for clients (and serve clients who will demand it by the end of 2026).
• Local businesses with differentiation — specialized clinics, signature restaurants, premium technical services. Doesn't apply to local commodities (generic hair salons, corner shops).

Who can still wait: mass-market brands with an already-dominant top-of-mind, commodities whose purchase decision is purely price, very specific B2B businesses whose buyer arrives through a human referral.

Where to start

In order of return per unit of effort invested, from the highest leverage to the lowest:

1. Audit what exists. Before changing anything, know your baseline score. Use Anore (or inspect manually) to generate a Google AI Readiness. That gives you a reference to measure progress.
2. Add an Organization schema. Five lines of JSON-LD in the <head>. It defines who you are in a format AI consumes. Probably the highest-ROI fix on the list.
3. Create a public FAQ. Six to ten questions clients actually ask, with answers in two or three sentences. Mark them up with FAQPage schema. It works as citation fuel.
4. Update the company's and founders' LinkedIn. Clear descriptions, data consistent with the site, a minimum of editorial activity (one post a week is enough at first). It is by far the most-cited external source.
5. Publish definition content. At least one "What is [your product/service]" article structured for citation — exactly like this one. It's no coincidence.
6. Monitor. Once a month, ask ChatGPT, Gemini, Perplexity, and Claude about your industry and city. Note whether you appear, in what position, with what accuracy. Repeat.

In one sentence, again

GEO is the work of making your company an answer — not a link.

Whoever understands this first will have, for a few quarters, the same disproportionate advantage that the earliest SEO investors had in the 2000s. The cost of starting now is low. The cost of starting once everyone else already has is incomparably higher.