Get found on Google & AI

What does "getting found" mean today?

It means being present in the three places your buyer looks, not one. The first is still Google: the results and the map, where someone types what they need. The second is the AI universe: ChatGPT, Perplexity and Google's AI summaries, which increasingly answer directly and recommend businesses without the person visiting ten links. The third, cutting across both, is authority: what other sources say about you, which feeds the first two.

The underlying shift is that "being first on Google" stopped being the only goal. A buyer can now discover you by asking an AI for the best option in their area, never touching a traditional search. So visibility became a multi-layer system that reinforces itself, not a single tactic. Our job is to build those layers in order and measure whether you're actually being found.

Being indexed isn't being found

This is the point that surprises businesses most: having a page, and even appearing in Google's index, doesn't mean anyone arrives. Around 96.55% of indexed pages get no organic traffic at all. They exist, but they're invisible. It's the difference between having a shop and having a shop on a marked street, with a window and people who recommend it. Existence is the bare minimum; visibility is the work.

How does Google find you?

Through two routes we work together. The first is local SEO: appearing on the map and in results when someone searches for what you offer "near me," with your profile, reviews and information in order. For a business with customers in an area — a clinic, a restaurant, a workshop — this is the most profitable route, because it captures people with immediate, geographically close intent who often buy the same day.

The second is content that answers what people search for: articles and pages that resolve real questions and rank for the right terms. But both depend on something invisible underneath: that Google can crawl, read and understand your site. Without that base, neither the best content nor the best profile works, because the engine never sees them. So visibility starts with engineering, not decoration.

The technical base is the invisible half

Almost no one talks about this, and it's where most businesses fail without knowing it. Only about 33% of sites pass the technical metrics Google weighs (Core Web Vitals), and on mobile the figure drops to 42%. A slow site, or one crawlers can't read, is at a disadvantage no matter how attractive it looks. And AI crawlers run very little code, so if your content depends on scripts to appear, to them it barely exists.

That's why technical SEO is the invisible half of visibility: speed, crawling, indexing and structured data. Schema markup, for instance, can lift click-through by 20–40% and multiply how often AI cites you, because it tells the machine exactly what you are. It's work the client doesn't see, but without which nothing else performs. Getting the house in order inside is the first step to being found outside.

How does AI find you?

Differently from Google, which is why it needs its own work: generative engine optimization (GEO/AEO). AI doesn't show ten links; it synthesizes an answer and, sometimes, recommends a business. To get into that answer, your content has to be structured to be citable — clear questions and answers, concrete data, direct language — and your brand has to exist as a recognizable, consistent entity across the web.

This is no longer futurism: 73% of B2B buyers now use AI in their research, and AI summaries reach billions of people. For many buyers, the AI's answer is the new first page of results: if it doesn't mention you, you don't exist for that search. And the prize is real — AI-referred visitors convert about five times better than Google organic. Optimizing to be citable is, today, as important as ranking, and it's a window where acting early wins a position that's hard to take back.

There's a catch worth planning for: the engines don't agree. ChatGPT leans heavily on business listings for local answers, Gemini favors websites, and Perplexity pulls from review platforms and community sources. A brand visible on one engine can be entirely absent from another, and the mix keeps shifting. So getting found by AI isn't a single switch — it's building a consistent, citable presence across the sources each engine trusts, then tracking where you appear and where you don't.

AI cites you for what others say about you

Here's the figure that changes the strategy: AI trusts what others say about you more than what you say yourself. Between 82% and 95% of AI citations come from earned media, and your own site is only about 5–10% of the sources it consults. On top of that, brand mentions on trusted sites correlate roughly three times more with AI visibility than backlinks do. Translated: if no one credible talks about you, AI has nothing to verify or recommend you with.

// Build the layers in order, measure real presence
{
  "base": "crawl + speed + schema (understood)",
  "content": "answers searches, citable, in-depth",
  "local": "profile + reviews + consistent data",
  "authority": "mentions and PR (AI cites third parties)",
  "kpis": ["rankings", "AI citations", "share of voice", "organic traffic"]   // not empty impressions
}

That's why digital PR is central to modern visibility, not a public-relations extra: earning coverage and mentions in relevant publications builds exactly the signal AI rewards, and supplies the backlinks Google values along the way.

Do reviews count for this too?

A great deal, in both directions. For local SEO, reviews are a relevance and trust signal that weighs on the map; for AI, they're part of the third-party sources that describe your business. A brand with abundant, recent, well-managed reviews gives Google and AI models consistent material to recommend; one with few reviews, or contradictory information across platforms, gives them reasons to doubt.

So online reputation folds into the visibility system. It's not just about polishing your image, but feeding the algorithms consistent signals: the same information across every directory, active reviews, and replies that show a real, attentive business behind them. Consistency across sources is, in fact, one of the signals AI uses to decide whether it can trust recommending you at all.

Why this matters internationally, not just locally

AI search is global, and the shift is the same whether your buyer is in Panama City or abroad: more research starts inside assistants, and zero-click results — 58.5% of US searches end without a click, rising to 83% when AI summaries appear — mean being the cited answer matters more than being one blue link among ten. A company that's invisible to AI loses buyers it never even sees.

For international clients reaching Latin America, that creates an opening. Regional buyers increasingly compare options through search, reviews and AI platforms, and most competitors aren't optimizing for it yet. We build visibility natively per market — local search behavior, language and entities, not a translated playbook — so you're discoverable to the region's buyers in the platforms and languages they actually use. Early movers in a market that hasn't caught up win a durable advantage.

Content is what makes you findable

All of the above needs raw material: content. It's what answers searches, what AI cites, and what proves your authority on a topic. Depth matters — thorough pages that genuinely cover a subject, with concrete data and clear answers, get cited far more often than thin ones, by both Google and AI. It's not writing for the sake of writing, but covering the questions your buyer actually asks, grouped around the topics they care about, in language a person and a machine can both lift and quote.

For a business serving more than one market, that content has to be native per language, not translated. A page written from scratch for an English-speaking buyer and another written for a Spanish-speaking one will use different questions, phrasing and proof — and search engines and AI reward that authenticity. Translated copy reads as translated, and it competes weakly for the terms each audience really uses. Building content per market is slower, but it's the only version that actually gets found in each one.

How we build it

We build your visibility in layers, measuring real presence at each step:

• Technical base: speed, crawling, indexing and schema so engines read and understand you.
• Content: pages and articles that answer what your buyer searches, citable by AI.
• Local SEO: profile, reviews and consistent data for the map and "near me."
• GEO/AEO: structure and entity to enter ChatGPT and Perplexity answers.
• Authority: PR and third-party mentions, the signal that weighs most for AI.
• Measurement: rankings, AI citations, share of voice and traffic — not empty impressions.

The deliverable is presence where your buyer actually looks: when someone types into Google or asks an AI for an option like yours, your business appears and gets recommended. It isn't showing up for the sake of it; it's being found by someone about to decide, at the moment they decide. And because each layer is measured, you know exactly what's working and where to invest next, instead of guessing why you're found or why you're not.

Frequently asked questions